463. Teaching and Generative AI

Generative AI has disrupted familiar approaches to teaching and assessment, but also created new opportunities to reconsider what, and how, we want students to learn. In this episode, Travis Thurston and Beth Buyserie join us to discuss ways of using AI productively in our classrooms by shifting the focus of learning assessment from product to process.

Travis is the founding Director of the Center for Empowering Teaching Excellence at Utah State University. Beth is an Associate Professor of English and the Director of Composition at Utah State University. They are co-editors of Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions.

Show Notes

Transcript

John: Generative AI has disrupted familiar approaches to teaching and assessment, but also created new opportunities to reconsider what, and how, we want students to learn. In this episode, we explore ways of using AI productively in our classrooms by shifting the focus of learning assessment from product to process.

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John: Thanks for joining us for Tea for Teaching, an informal discussion of innovative and effective practices in teaching and learning.

Rebecca: This podcast series is hosted by John Kane, an economist…

John: …and Rebecca Mushtare, a graphic designer…

Rebecca: …and features guests doing important research and advocacy work to make higher education more inclusive and supportive of all learners.

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John: Our guests today are Travis Thurston and Beth Buyserie. Travis is the founding Director of the Center for Empowering Teaching Excellence at Utah State University. Beth is an Associate Professor of English and the Director of Composition at Utah State University. They are co-editors of Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions. Welcome, Beth, and welcome back, Travis.

Beth: Thank you.

Travis: Thank you so much. Pleasure to be here.

Rebecca: Today’s teas are… Beth, are you drinking tea with us today?

Beth: I am. It was accidental. I was like, I need some tea this morning, and then I remembered that I was having a tea with you. So yes, I’m drinking a vanilla almond, and it’s delicious.

Rebecca: Nice, bonus points for having tea. How about you, Travis? [LAUGHTER]

Travis: I am having a peppermint herbal tea this morning.

Rebecca: Nice.

John: Very good. I’ll be having that this afternoon. I am drinking one of Rebecca’s favorites, spring cherry green tea. [LAUGHTER]

Rebecca: That is not my favorite, John. [LAUGHTER] It smells good, but I do not like how it tastes. I have a nice, simple English breakfast tea, John.

John: Very good. So, we’ve invited you here today to discuss teaching in generative AI. Can you tell us about this book project?

Travis: This project really began less as a response to maybe a piece of software than a response to the conversation that higher education was having about it. So, in early 2023, a lot of that conversation seemed to be moving towards somewhat two extremes. Either generative AI was going to transform education or destroy academic integrity. There was a lot of that conversation happening, and Beth and I felt there was a need for an open, interdisciplinary, pedagogy-centered space where people could really wrestle with some of those ideas and those concepts, where we could also think about the excitement, the concern, the experimentation, maybe the resistance, and also the uncertainty that surrounded it.

Beth: I direct a composition program for all of the first-year composition teachers, and within that space, there was definitely a sense of like, “Oh my goodness, what do we do? Like, writing is our bread and butter. It’s what we teach, and is this completely going to take over and make it so that there’s nothing to teach, or that students won’t be able to learn anything?” And so, like Travis said, I could tell, since I work so closely with teachers, that teachers definitely needed a space to be able to think about pedagogical possibilities for this technology, rather than this is going to be the end of the world kind of thing.

Rebecca: This book is pretty robust. It’s got 35 chapters organized into six sections. Can you give us an overview of the topics addressed in each of the sections?

Beth: So, the way that we did this particular collection is because AI was so new, and because we wanted to get this resource out to teachers as quickly as we could, rather than solicit proposals, we solicited full chapters, and we weren’t expecting them to be super, super long, but we did want people to send us the full chapters. So we left it, Travis, if I remember, fairly open ended, and then based on what we received, then we organized the book into the six sections. The first section is framing concepts because we wanted to make sure that teachers had, before we went right into some pedagogical applications, some sense of like, how do we even think about this? What’s the language that we need, terms, concepts that we need in order to think about this? And then our second section was research studies. Since AI was so new at that time, at least in education, there weren’t a lot of research studies, and so we had a few people who had actually done some IRB research studies, and we wanted to have those in there to showcase the kinds of research that people could do. We knew that this book, since it was early on, wasn’t going to be the definitive; that it was going to be the starting point, and so we wanted to give people an example of what could happen. And then our third section on race and Indigenous studies, we created that one under the model of a symposium, where it was quick, shorter chapters that really sparked questions and concerns and possibilities that people could continue thinking about and wrestling with later on. So with that section, we were able to get a lot of authors bringing up a lot of different ideas to spark a larger conversation.

Travis: Yeah. So the fourth section, humanizing technology, we really wanted to keep and really focus on the human experience that’s at the center of learning. So those chapters really center around some of the authors’ experiences in their own classrooms and how they wrestled with some of those concepts with their own students. And then moving into the fifth section, teaching resources, those are focused more specifically on assignments and activities and the way that we can frame and construct those for our students. And then the final section on disciplinary approaches, it demonstrates that AI can’t be separated from disciplinary ways of knowing. For example, like what responsible AI looks like in a chemistry course would be completely different than maybe like a music history course or creative writing, or with grad students rather than undergrads. So that last section says AI is never merely a tool to question; it’s more theoretical, empirical, cultural, relational, practical, and disciplinary.

John: Most of the books out there on AI that came out in the first few years focused either on a very pro AI in terms of all the wonderful things that AI could do, or something that was somewhat more opposed to AI use and focused on some of the harm that can be done when AI is used excessively or used as an alternative to learning. But one of the nice things about this collection is that you do have those 35 different essays in it, providing a pretty diverse set of viewpoints on quite a few different disciplinary approaches. How did you select the authors? You mentioned that you were gathering whole chapters, but how did you select the authors of these chapters?

Beth: Well, one of the things that we wanted from the beginning was that we didn’t want a binary yes/no approach to AI because it was so complex. That was one of the things that, for me as a writing program administrator, that I was grappling with with my teachers and we were grappling with with our students is that we couldn’t just frame it as never use this or stop learning how to write altogether. And so we were fortunate that we received so many possible submissions, but I think Travis and I looked at all of those to be like, “How are we putting these together so that we are furthering the complexity of the conversation around AI?” And I think one of the reasons we did that is because we knew that in terms of technology, the book could quickly become outdated because AI was going to keep changing, but we knew that the complexity surrounding the conversation would be more permanent or long-lasting. Travis, did you have anything else that you wanted to add to that one?

Travis: Yeah, no, that’s a good point. In our early conversations, we did want to try to somewhat elevate or replicate maybe the conversations that are happening on a campus-wide basis across disciplines, including librarians and instructional designers, and bringing in a wide host of voices.

Rebecca: I know one of the things that has come up, at least in our campus conversations and in many of our podcast conversations around AI, is the struggle [LAUGHTER] educators are having with assessing student learning. What are some of the most effective strategies for assessing student learning that you’d recommend?

Beth: Well, this reminded me too of more of how we selected the authors, because we realized that it’s easy within each discipline to sort of be siloed in our perspective on AI. I mean, that’s part of what creates the polarity in terms of the perspectives is that, for this discipline, AI is wonderful and we should only use it, et cetera. And for this discipline, it appeared to be the end of the world as we know it. And so, creating a collection where we intentionally had authors from multiple, not only academic disciplines but also librarians and instructional designers talking about AI, really helped people get more perspective on the complexities of AI and how it could be used in the classroom. And so I think then that transitions into how some of the most effective strategies for assessing student learning is, I’ll take our example of writing, we talk a lot in writing about how the process is so important for learning. That it’s not necessarily the final product that we are concerned about, and in some weird way, AI has become a silver lining for folks in writing studies to be able to have interdisciplinary conversations with those outside of writing studies because it was often in the past that folks outside of writing studies would be like, “Why can’t students just produce the perfect piece of writing the first time? They took one writing class and then surely it should have applied to the rest of it.” I’ve now had a lot of fruitful conversations with people in other disciplines that have said, “Oh, I actually don’t care as much about the final product because AI can make that look perfect. I care about the students’ learning.” And so the fact that AI can now create the final product so quickly has allowed us, and the ETE program that Travis directs at USU has been a wonderful space for faculty from all disciplines to get together and be like, “How do we start assessing and making more explicit the learning process in the classroom? How do we emphasize that more rather than necessarily the final product?” And so the fact that AI came about has allowed us to have more of these conversations about what is it that we’re actually wanting to assess in terms of student learning. So it’s allowed us to be like, “Oh, we actually care about X in this discipline,” rather than “Please turn in your final report.” So one of the most effective strategies that I have is when talking with interdisciplinary faculty, especially, is let’s start naming explicitly what you want students to learn. Which, I mean, I have two degrees in education. I know Travis has background in education. For faculty who don’t come from education, sometimes that’s new.

Travis: That’s a good point. We really emphasize the learning process and how to make that explicit, to make sure that different types of learners are able to demonstrate their learning process and demonstrate how they get to that final product. I think I would add too that one of the goals is not to create an AI-proof assignment. Like that can very quickly become an unwinnable technology arms race, [LAUGHTER] and really detection of AI use is not the same thing as learning assessment, right? So I feel like our task is to design assessments that give us rich enough evidence to really understand what students know, how they reason, and maybe how their thinking has changed through that process. For example, Maha Bali’s chapter, the cake-making chapter, is so great for this purpose, right? Like thinking about when there are times that we ask students to bake a cake from scratch versus when it would be appropriate to use maybe a prepackaged box mix, [LAUGHTER] and how AI can be a scaffold for learning in that process, and when it’s appropriate and maybe when it’s not, and how we can be explicit with students about those determinations. I think another great point that I like in the book is that students might use AI during that process to help them practice and to help them refine the skills that they’re developing. For example, Marc Watkins, his chapter on reading assistants really makes that point where students might otherwise stop or skip reading a text and not allow the AI to simply summarize a reading. Use it more as scaffolding in the process. And that, to Beth’s point, means that we have to be thinking about that learning process when we’re designing these types of learning activities, and ultimately the assessments to measure that learning.

Beth: I’ll add briefly just another chapter that I think really helps with assessing student learning is Michael A. Christiansen’s chapter on using AI in chemistry classrooms. I have my students, both grad students and undergrad students, read at least a section of that chapter, and they very quickly realize that, in order to be able to evaluate the output that AI gives them, they still have to be experts in their content. And so we use that chapter as a way to help them create their own learning goals. What is it that you want to learn first? So that is one way of doing more effective learning assessments: is really involve the student with their own learning and goal setting, because after that chapter, they can understand very quickly, like, “Oh, if I don’t become an expert in my subject, then the AI really will take over my job, or that I won’t need to be there. Like, I have to be able to contribute something too.” So, having them really set their own learning goals helps as well.

John: And I think everyone most faculty do agree that it’s important to be able to evaluate the process of learning. What are some strategies that people can use to observe the process in which the students are learning? Because that’s, I think, a question that a lot of people are struggling with right now because it’s ultimately what we’ve always wanted to do: we want to observe the progress of student learning. But up until recently, most of the focus, outside of some areas where you could easily observe that, most of it was based on the final product that students produced in some way.

Beth: I think it has required faculty from all disciplines to really think more about why your actual students are in the classroom, either physical or online, with you. Why are you all in that space together rather than as a teacher, it would be really easy just to lecture and give out the information. And granted, this works better in smaller classrooms, but I think it’s transferable to larger classrooms as well, is to have the classroom space, whether online or physical, be more of the place where the students are engaging in the learning process and using their bodies as a way to do that. So, like I have my students use sticky notes where they’re processing their learning. We draw things. Not well. I mean, my students draw well. I don’t draw well. This last semester, I’ve actually had my students draw a concept from something that they were reading, so it required them to use a different mode, a different way of thinking and showing their learning. And because I could no longer just say “Summarize this,” because AI could do it for them, my students then learned the concepts from that chapter better than they have for the last 20 years that I’ve been teaching that chapter. So one strategy I think is to actually engage in the embodied, multimodal, physical aspects of learning, even in small ways in the classroom.

Travis: Yeah, I think another point is, for example, in Catherine Denial’s chapter, she talks about the importance of starting by trusting our students, and that really opens up the opportunity for us to have conversations about the roles that AI is playing in that process. So, for example, also Ethan Mollick’s book on Co-Intelligence, I think, is really fascinating, and one of the things that he points at is what role is AI playing? Like, are we using it as a tutor? Are we using as a mentor, a teammate, a simulator? And being able to identify how or what role that we’re utilizing AI, I think, also can help us to be more explicit, and also help students be more intentional about the ways that they’re engaging with that type of technology. I also really like the example in Julia Gossard’s chapter where she’s having her students write their own constitution, and she has them start out by writing their own, and then the next step in the process is to have AI write a constitution, and then the students can be critical of the output of AI, and think more specifically about what ideas are being replicated that maybe we want to let go of from past patterns, and have more of a critical lens.

Rebecca: Sounds like a fun project.

Travis: Oh, absolutely, right? [LAUGHTER]

Rebecca: We kind of started by saying there’s a lot of almost like debates, right? Pro, against AI, and you’ve talked really nicely about challenging that and making it a more complex conversation. How have you seen the conversation in higher ed around AI evolve?

Travis: Yeah, I really like that question. I think higher ed will gradually shift, maybe from asking how do we prevent AI from entering an assignment, to maybe asking what is the intellectual work that students should continue on their own, and how can they demonstrate that ownership? For example, when information and the text or these outputs become so abundant, I really think the distinctive value of education moves toward framing questions, evaluating evidence, and really getting into more of the deeper educational work, and then also moving into applying that knowledge into maybe unfamiliar contexts, collaborating with other people, making ethical decisions about how we’re using certain technologies. Our students are confronted with these technologies on a daily basis in the real world, and we’re seeing more and more how AI is playing a role in the workplace. And so if we are really preparing our students to go out into the world and into a new workforce, these are questions that we should probably be helping them to think about along the way.

Beth: I think Walker P. Smith’s chapter that he co-wrote with seven of his undergraduate students illustrates that in a really nice way, where it’s clear that they’re doing this research project together and that they’re evaluating what they learn from AI in different contexts together. So I do think one of the shifts is it’s requiring students and faculty to more intentionally be like, “How can we foreground the lived experiences of the humans who are in this classroom space with us,” making sure that it really is student focused, not in a way that devalues teacher expertise or devalues what AI brings in, but that we’re saying like, “You bring something to this puzzle. You bring something to this conversation. This conversation is not the same without you,” because I think it’s easy for students to feel sort of like they’re a number in a big classroom or in a big university, or that there’s so many other people who are perhaps competing for the same job, and a lot of that is true, but really taking the time to figure out like what value do you bring because you have that value. In an odd way, I’ve seen the conversations around the dehumanizing aspects of AI allow people to emphasize more of the “Why did we get into education to begin with? Why do we really care about the students in our classroom? How do we help them care about their education in even more concrete ways?” Which I think is also helping to address some of our concerns about retention and student enrollment as well. So that’s one of the conversations I’ve seen. And then the other thing that I’ve mentioned earlier is just that the biggest shift has been people like, “Oh, it’s no longer just the product. The product used to be the only way I assess student learning, or that I really focused on,” and now it’s much more about what they’re learning throughout the course. And in some ways, I don’t think we would have been able to have that interdisciplinary conversation so quickly without AI.

John: I think you’ve already addressed this to some extent, but what are some new possibilities that have opened up in terms of supporting student learning that AI provides that we didn’t have before AI became available?

Travis: Yeah, I think this is a great question too. One of the things I’ve been working on lately is what I call the ARCS reactor, and it’s this idea that we can use a particular prompt and help us as instructors to find ways to support students through learning barriers. And that ARCS model was originally proposed by John Keller back in the 80s, and it’s an acronym for thinking about the way that we design for student motivation, for attention, relevance, confidence, satisfaction, and then also supporting them through the volition to keep going. And when Keller initially proposed this framework, it was designed to be less of a bag of tricks that a teacher might pull from, and more to specifically diagnose the motivational barriers that students experience. I feel like that’s an important role that we as instructors should be able to continue to do. We will see, or we will be able to know ahead of time, when students are going to be hitting certain barriers within our disciplines, within our courses. So, for example, the ARCS Reactor is a way for AI to support instructors to either remix or find different ways to help students through those motivational barriers. A classic one in the ARCS Model, is that my students aren’t doing the pre-class reading. [LAUGHTER] How can I reframe this in a way so that students see the value in that pre-class effort before they get into the classroom and don’t have something to add to the conversation? So I think one opportunity that we have with AI is to help us continue to see different ways of navigating through student motivational barriers.

Beth: I think, especially in my discipline of writing studies, and I think in all disciplines, AI has forced us to question some common types of assignments, some common approaches that have worked well, but because they’ve worked well, we haven’t really, within a classroom space as an individual teacher or as a discipline, we haven’t done a lot of perhaps innovation or questioning or thinking about how can we completely change this. And I don’t want to say that that applies to everyone, but it really has required each teacher to look at their curriculum and be like, “Oh, I’ve been doing this for 20 years, but what are some other ways that I could do this?” I think the revising a bibliography assignment by Lillian Campbell and Jenna Green and Nicole Bungert, they’re like “This has been a very common assignment in writing studies for a long time, but it’s so easy for AI to do it, but we still care about the learning. So how do we revise this assignment in order to be more effective? Not AI-proof, but in order to provide students with other opportunities to engage in the learning process.” And so it’s been exhausting, and a lot of work, but I’ll just speak for myself. I really have been forced to think very critically about what I’m having my students do and why. And since I direct a writing program and create curriculum for incoming graduate instructors, I’ve had to be thinking about that at the program level too. So there are, I know, some teachers who are still at the like, “How do I make this AI proof?” or “I’ll just get rid of that assignment because AI can do it.” But I know it’s also created openings for teachers who are like, it allows us to be like, “Oh, this was the essential core of why we were doing this.” How do we keep this learning and elevate it in some way and make it new? Education, we have to be able to continually update and revise and if we’re teaching our students that they have to do that, we have to do that as well.

Travis: And to build on that, I was at a conference a couple months ago, and Claire Major Howell gave a keynote at this conference, and she introduced me to a new term of the locus of cognition. So, for us to be thinking about what is the locus of cognition in this particular assignment, am I asking students to do all of the brainstorming, all of the APA citations, or is that just secondary to the actual learning task that I’m hoping that they’re going to be engaging in, and how can I remove some of the cognitive barriers that I don’t necessarily need the students to wrestle with, and help them to focus on what is needed, and what are the things that I’m okay with them offloading to AI or some other tool?

Rebecca: It’s interesting how it takes a disruption like AI to kind of reconsider what we’ve been doing, and also to remember what the value system is, maybe of a discipline or the ways of thinking within the discipline, and to make sure that those are the things that really come out in our curriculum.

Beth: This disruption has forced us to have new conversations, which I think is why even three years after the book is published, Travis, I don’t know about you, but I’m still getting comments from people saying how helpful it still is. Not because the AI technology is the same, but because the approach to thinking about teaching with this technology is still helpful.

Travis: Absolutely.

Rebecca: So, is there going to be a second edition of the book? [LAUGHTER]

Travis: That’s also a great question. [LAUGHTER]

Rebecca: We’re full of them over here.

Travis: The immediate answer is not yet. [LAUGHTER]Our center is currently thinking about a new project that we’re going to be asking about some chapter proposals around, and probably asking folks to contribute to another edited volume. And this one would focus more specifically on AI and the scholarship of teaching and learning, and thinking about how that raises another level of questions. For example, what happens when AI isn’t only part of the classroom, but it’s also part of the research process now? And when can we appropriately use it for maybe a literature review versus an instrument for development, or coding, or analysis, or our writing even. So how do we address consent? How do we address student privacy, authorship, and of course algorithmic pattern bias, and who owns that data? So I think those are some real questions that I know I’ve started to be thinking about, and I know a number of the journals that I’ve been publishing in are also wrestling with. So I potentially see that as our next upcoming volume.

John: And we really do appreciate the fact that you’ve released this volume and others in the past as OER resources that are available online for free for faculty because that’s a tremendous resource for people who want to explore things but face challenges in their budgets.

Beth: I think that’s another reason why the book is still being downloaded and used.

John: And the topics are still evergreen. All those issues that were raised there haven’t gone away. While the technology has changed a bit in terms of its capabilities, the fundamental issues haven’t changed all that much from the initial releases.

Travis: No, I agree, and I think because of the timing of when we did publish this volume, there were a lot of folks who were just first diving in to seeing what AI looked like in their classrooms and with their students. As more instructors are starting to engage in that first step as well, I think it’s a really valuable volume for asking these types of questions. And you know, how do we navigate this new world with AI?

John: And SOTL research on that is a very good follow up.

Travis: Oh, I agree. [LAUGHTER]

John: So we noticed that you had a very nice visual on your cover image for this book. Could you tell us a little bit about the origin of this?

Beth: In the introduction, all of the visual images revision to the book cover that Travis had done, that was an unexpected addition to our introduction. I didn’t know, like Travis just sent me the final cover of the book, and I was like, “That looks great!” And then as we were talking about the introduction and in the process of writing it, he’s like, “Yeah, it took me like 40 iterations.” And I was like, “We are publishing that.” And I still have my students read that, and that visual demonstration of what revision looks like has been so helpful because, especially in writing, it’s still so easy, and even for me as a writer to see someone else’s final product and to be like, “Oh, they’re such a good writer!” Like it just came out that way, or maybe you had to make a few tweaks, but to have the visual iterations that Travis went through to create that final product, and the kinds of questions that we can ask students in terms of, like, why did he keep going with that? Why didn’t he just stay there? What was he thinking? How was he thinking about his audience? How was he thinking about his purpose in terms of still asking Midjourney to continue revising that? That has been really helpful for students to think about revision as something other than just making a few edits. Maybe they’re not yet at the point in their learning where they can make revision at that scale, but seeing that as a goal and the kind of time it takes. For me, that is still a really good example, even though the technology has changed, of how we still want humans to be partnering and collaborating with the technology, but ultimately still responsible for the output. So I’ll just add that, Travis, I’m so glad you did that and that we ended up publishing it.

Travis: Yeah, thank you, Beth. I appreciate you bringing that up because it does really highlight not only that revision process, but also like the learning that goes into a tool. Like it’s not giving me the output that I want. I need to adjust the way that I’m asking this question, or I need to adjust the way that I’m approaching this to really get at what I’m trying to accomplish. I do think it’s important for us to teach our students or to model for our students what that process looks like. To your point, it’s a great cover image that came out as the final product, but there was a bit of a struggle along the way to get it to be the final product that I wanted it to be.

Rebecca: So, although you’ve already hinted at this, we always wrap up by asking, “What’s next?”

Beth: Well, Travis, I’m so glad that we did this podcast together because if we’re doing another volume, I’m really excited about that. The conversation’s not done. It’s not that we haven’t figured out the technology as a tool; it’s that we are still wrestling with what it means to incorporate this new technology into our learning, into our lives, into the work that we do, into the classroom. So I think there’s a lot still to be said. For me, I’m also looking at and continuing to try and publish and research like, how then do you also think about leading a writing program or a larger learning program, perhaps even an interdisciplinary program, where people can still have these productive conversations around AI? And also, like I really appreciated, Travis already mentioned it, the chapter where Catherine Denial was talking about how you have to start by trusting the students, and that’s something as I teach the new teachers how to teach first-year students that we emphasize and we talk about a lot. But I also recognize that when I am in my own classroom, teaching first-year students, even though trust is my foreground and how I start it, there’s still the wrestling of like “This is clearly just AI. Even though we’ve talked a lot about like, what do I do with that? How do I make this a learning opportunity rather than a now I caught you opportunity?” And I think that there’s still interdisciplinary conversations and research to be had about that, even if students are using it in a way that may be intentionally not helpful or unintentionally, how do we still create that as a learning opportunity and recognize the extra workload that faculty and teachers legitimately have to engage in to have those conversations? So those are things that I’m thinking about.

Travis: Yeah, that’s great. And for me, I’ve also been looking at this from a faculty development lens. How do we, in a center for teaching and learning, continue to help instructors think about these topics? How do we help those who are already engaging in AI in deep ways to think in additional contexts. How do we think about it in really measuring student learning? How do we know that our students are learning in that process?

Beth: Travis, I think that is an excellent focus for our next book. [LAUGHTER]

Travis: I agree. This has been a great conversation.

John: Which has long been a question that we haven’t really addressed, other than just doing things as we always had up until recently, and AI, as you’ve noted, has encouraged us to go back and revisit a lot of our old assumptions. So, that can be really productive.

Beth: Yes.

Travis: Yeah. I mean, we still continue to see there are certainly different camps of instructors. Folks who are absolutely against the use of AI, and looking for ways to prevent students from using AI in their classroom in ways that are maybe not ethical. There are folks who are still just starting to experiment and learn about what this new tool means for the way that they teach, and there are others that are really trying to innovate and push the envelope for what we can do in our disciplines.

Beth: Yeah, and I think for both of us in our positions as director of the CTE and director of the comp and writing program, sometimes just by talking about AI, I know that the faculty that work with me sometimes feel like I’m saying you have to use AI in a particular way in the classroom, and I really have to help emphasize that our goal is for you to wrestle with this the way that everyone is wrestling with this, whether you choose to like use AI in a particular way or not. But we can’t ignore the conversation. So, how do we create a space where we can still be having these conversations and learning from the process and the context, regardless of how each individual person engages.

John: Well, thank you. It’s great talking to both of you, and this is a really good resource. And we look forward to future conversations. I think the last time we talked to you, Travis, was five years ago, roughly [LAUGHTER] so it’s been good to get back in contact, and it’s great talking to you as well, Beth. Thank you.

Travis: Yeah, it was. It’s been a minute. [LAUGHTER]

Beth: Thank you for inviting us.

Travis: Thank you so much.

Rebecca: Thank you.

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John: If you’ve enjoyed this podcast, please subscribe and leave a review on Apple Podcasts or your favorite podcast service. To continue the conversation, join us on our Tea for Teaching Facebook page.

Rebecca: You can find show notes, transcripts and other materials on teaforteaching.com. Music by Michael Gary Brewer.

John: Editing Assistance provided by Madison Lee.

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430. IDEAS for International Collaboration

In an increasingly globalized and networked economy, it is important to help students develop intercultural competence. In this episode, Josh McKeown and Christina Lee join us to discuss how two institutions are working together on a grant-funded collaborative exchange experience involving STEM students and faculty in the U.S., South Korea, and Taiwan.

Josh is the Associate Provost for International Education and Programs and the Director of the Office of International Education and Programs here at SUNY-Oswego. Christina is the Director of Global Education and International Services at Monroe Community College.

Transcript

John: In an increasingly globalized and networked economy, it is important to help students develop intercultural competence. In this episode, we explore how two institutions are working together on a grant-funded collaborative exchange experience involving STEM students and faculty in the U.S., South Korea, and Taiwan.

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John: Thanks for joining us for Tea for Teaching, an informal discussion of innovative and effective practices in teaching and learning.

Rebecca: This podcast series is hosted by John Kane, an economist…

John: …and Rebecca Mushtare, a graphic designer…

Rebecca: …and features guests doing important research and advocacy work to make higher education more inclusive and supportive of all learners.

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John: Our guests today are Josh McKeown and Christina Lee. Josh is the Associate Provost for International Education and Programs and the Director of the Office of International Education and Programs here at SUNY-Oswego. Christina is the Director of Global Education and International Services at Monroe Community College. Welcome, Christina, and welcome back, Josh.

Josh: Thank you.

Christina: Thank you.

Rebecca: Today’s teas are:… Christina, are you drinking tea with us today?

Christina: Yes, I always have tea. The tea I’m drinking today is a Korean roasted rice green tea.

Rebecca: Oh, that sounds nice.

Josh: That does sound good.

Rebecca: …having good tea choices today, John. [LAUGHTER]

Josh: I’m having gold blend black tea from Rwanda.

Rebecca: Nice.

John: Very nice. More geographic variety than normal.

Rebecca: Yeah. [LAUGHTER]

John: And today I am drinking a ginger peach green tea.

Rebecca: And I have switched to a Scottish breakfast tea.

Josh: That’s your go to. [LAUGHTER]

Rebecca: It is, although earlier today, I was drinking a Swiss tea, but I drank it all up. [LAUGHTER]

John: We’ve invited you here today to discuss the grant funded international education projects that you have arranged in South Korea and Taiwan. These projects were both funded by the federal IDEAS grant program. Can you tell us a bit about this program?

Josh: Sure, and definitely thank you, John and Rebecca, for having us on the show. We’re really proud of this project. The IDEAS grant program is funded by the United States Department of State, so it’s a federal program, and it’s been in place for nearly a decade, and its main purpose is to broaden and improve access to international education, particularly education abroad, or also called study abroad, for disciplines, students, and parts of the world that have not had as much study abroad activity over the years, and this one, in particular, the Chips and Science Act, it was a special track, actually a higher funding amount, focused particularly on the Chips and Science Act.

Rebecca: Can you tell us a little bit about the nature of the specific projects that you proposed under this grant application?

Josh: Definitely, and I’ll invite my colleague Christina to comment as well on this part, because in order to qualify for this grant, and they’d been around, like I said, for a while, and I’d always seen it, but this was called a consortium grant, so it required a university and a community college to partner together. So I’ll give my perspective, and then Christina can share from the community college perspective. When the grant was announced, I almost couldn’t believe it, because its focus on Chips and Science Act was something I had been thinking about literally for the previous two years. This part of New York State, those of us here in Rochester or in Oswego know this like the back of our hand now, but for other listeners, the investment by micron technology, one of America’s largest semiconductor manufacturers in a industrial site about 20 miles from Oswego is going to literally transform the economy and probably the larger society of Central New York for decades to come. It’s a project of that scale. They’re talking potentially at its peak of, I think, $100 billion of total investment, up to 50,000 new workers, and, of course, all the economic activity. When this was announced two years ago, I had two initial thoughts. The first was, “Wow, this is going to change things.” I live about 10 minutes from that site. But then the second thing I thought was, “Oh, wow, we’re going to be part of the global semiconductor ecosystem.” And in my work, I thought immediately about particularly Taiwan and South Korea, two countries that SUNY Oswego has really well-established university exchange and other partnership agreements with, but we had not worked with those universities about this topic of semiconductor. So that’s what got me interested in this. And shortly after, I met with Christina, who has a long record of international education within SUNY as well, and she agreed to join me in the project.

Christina: I was really excited when Josh reached out to us to partner on this grant. As a community college, our students don’t often have the opportunity to study abroad, and so building something with SUNY Oswego, who has a very robust and long time sustained study abroad program, was really appealing to me, and also helping us think about partnerships. I think SUNY Oswego has good partnerships in Taiwan and Korea that was also appealing to me. And I’m always thinking about ways to bring global education to our students, whether it’s utilizing virtual internships, virtual exchange, virtual online learning, lecture series, and also grant partnerships for our faculty and to assist with student travel. So I thought this was a really great way to partner with another SUNY school and give opportunities to our students. Rarely will they do a semester abroad, but if we could do a short- term faculty led program out of this grant partnership, I thought that would be important for our students, who often have responsibilities here in Rochester, at home and with work, so I was glad we could do that. Here at MCC we have some unique programs. We’re the only community college with an associate’s degree in precision optics, and we also have a very strong Geospatial Information Systems Technology program. And so I have been really interested in how to incorporate some kind of global exchange with STEM fields in our college. I think it’s important in terms of training technicians in the global industry. I would like an opportunity to find a way so that we can also incorporate understanding of global interdependence on the global economy through, ideally, some kind of exchange that will come out of this program. We’re equipped to do it virtually, which is wonderful. A lot of our classrooms are already Zoom capable. So we do collaborative, online, international learning already. We do some virtual internships. We do some Zoom teaching as well, for students who are interested in our programs but aren’t here in person. But I think this is a great opportunity, again, for us to think about other ways to bring the globe to our college, whether it’s something we do online or whether we do something in person.

Josh: I’ll pick up on what Christina was saying about workforce development. The grant parameters did not tell us, or presumably, the other universities that would have applied for it, they didn’t tell us what they wanted us to do, but we had to somehow satisfy the reviewers’ focus on the Chips and Science Act. But this is where Monroe Community College and SUNY Oswego, I think, were really aligned. And that is, and our President talks about this all the time, that we are going to be one of the institutions in Central New York closest to Micron, but also critical to Micron’s success. But currently this region does not have the workers for that fab. And by the way, I’ll just go take a step back and say I am not a computer scientist. I’m not an engineer. The only thing I knew about chips before this project were Doritos and Lays. [LAUGHTER] When I went to departments to talk about it, I would say it that way, but I’ve learned some things about it, and I’ve learned, including from our summer trip to Korea and our upcoming trip to Taiwan, that the precision that goes into the construction of these fabs, the clean rooms, water treatment, they are really just sites to behold in terms of cleanliness and readiness for work, but they’re also highly technical places, and students need the right experiences, the right education, the right exposure, to get jobs working in these fabs, and so Monroe and SUNY Oswego are really aligned on the need to prepare teachers in the region, to prepare students, and to contribute to Micron’s success. From my lane, though, what excites me about this, and this is where I thought it’s a transformative project for the region, but also whoever that individual student is, who eventually studies abroad in South Korea or Taiwan with us, whether from Monroe, from Oswego, from any other institution, that individual, when they go to work at Micron, I know that they are going to interact with co-workers or supervisors or teammates or vendors and suppliers. Someone in that ecosystem of semiconductor will be from Korea and Taiwan, I know it, because those countries have produced major companies like Samsung, like Taiwan semiconductor manufacturing, TSMC, both of which we have visited or will visit. And I always think about that kid from New York, whether upstate, downstate, that person who is going to go work for Micron or one of the ancillary industries involved in the semiconductor ecosystem, they’re going to have that cultural exposure. They’re going to have that experience. They will have worked, maybe as a research intern in Taiwan or Korea. They will have gone with faculty on a faculty-led experience like Christina was describing, they’re going to have that confidence which study abroad can give you, but particularly that cultural exposure in those two places. So when they enter that team meeting and they’re on a Zoom with people from Taiwan or Korea, they’ll be more prepared. And really, that’s what motivates me.

Rebecca: So you’ve talked a bit about why you chose South Korea or Taiwan as partners or locations, and that SUNY Oswego had some prior relationships to lean on there. Can you talk a little bit about what these partnerships actually will look like? What will students be doing in these countries? You’ve hinted at a couple of ideas, Josh.

Josh: For starters, we had to identify faculty who would be good fits for this. SUNY Oswego has a long tradition of education abroad. International education, really back to our founding, to Sheldon himself, but in the last couple of decades, probably anywhere from 15 to 25 SUNY Oswego professors literally bring students with them on international programs abroad, including yourself, Rebecca, you know exactly what I’m talking about. What we set out to do in both institutions was identified faculty who’d be the right fit. Of course, a lot of faculty, whether it’s in art or music or education, participate in international education. But for this, we really focused on two key areas. One was in the STEM fields. So we have faculty in electrical and computer engineering, computer science, and chemistry from Oswego… Christina has her own STEM faculty involved… but also career and technical education, which is going to be a huge aspect to getting the workforce ready for Micron. By the way, that’s what our grant was called, “Getting Ready for Micron.” So we didn’t tell the faculty what type of programs to be involved in, but the proposals that I got in, and it was a competitive process, many faculty applied to go on these trips, but we selected the ones that were really the best fit. They proposed things like, in the career and technical education area, a boot camp exchange, for example. And this comes from our CTE department Professor Ben Ogle, who proposed his work with teachers and trainers in the region. He does what were essentially boot camps to get them prepared to do teaching and training in this field. And what we found, for example, in Korea and will in Taiwan, they have very similar workforce readiness challenges, very similar issues of schooling and preparation, of demography, of having enough young people to take over jobs and careers as the older generation retires. So that’s one example of how this grant is supposed to work. Yes, it’s going to be a great experience for students. They’re going to learn more about the training and education system in Korea or Taiwan, hopefully good for the Korea and Taiwanese counterparts who come here on a type of exchange to learn how we do it, but ultimately it’s serving the regions and the industries as well. So that’s what I see. But there are probably other examples too I could mention.

Christina: The faculty for this program was a faculty in geospatial information technology systems and biology, so they’re both really interested in sustainability in the semiconductor industry, and I really have enjoyed the interdisciplinary teams that we’re bringing between SUNY Oswego and MCC.

Josh: Rebecca, to amplify your question about the partner universities, both in Korea and Taiwan… everybody is super busy, and everyone has so many projects they’re working on… but when we proposed this, and the two universities in Korea, Kyungpook National University, located in Daegu, and the other was Busan National University located in Busan in the south, both are excellent universities, national universities, and we have productive, ongoing exchange student relationships with them. But when we proposed this, bringing a faculty delegation particularly focused on semiconductor, they jumped at it. There was no lack of understanding. They knew exactly what we were trying to do. And in both cases, in Korea, and I suspect we’ll hear the same in Taiwan when we go there, this fits their agendas as well, because, for example, in Korea, just like here, industry works closely with the universities and the public school sector. Ours is called the Chips and Science act. Well, in Korea, they have something called the K-Chips Act. So the idea of using national policy, a little bit of grant funding, and trying to get universities and school systems focused and aligned on a common experience or curriculum that serves this industry, it’s really global. There aren’t that many countries that do this. In the case of South Korea and Taiwan, these are friendly countries, allied countries. They’re places that Americans love to travel to and are free to engage with. And I’ll repeat, this grant was funded by the U.S. Department of State. So there’s obviously a foreign policy goal to this type of project, and I think we all understand, especially in central New York, more and more all the time, that semiconductors really are part of the economy, yes, but also a national security issue. And they view it the same way over there. So we have a lot to learn from each other.

John: From what I’ve seen, the students who are most likely to participate in international education programs are disproportionately from humanities fields, and it’s much less common for students in STEM fields to participate. Is this one of the reasons, perhaps, for focusing on this to bring more STEM students into international education.

Josh: Absolutely, absolutely. In the case of the universities that we’re working with in Korea and Taiwan, again, these relationships were established already, but we had never imagined this type of engagement with them. So again, the disciplines that our faculty represent, electrical and computer engineering, computer science, chemistry from SUNY-Oswego and Christina, I think you have someone from biology coming on the next trip.

Christina: Yeah.

Josh: Hopefully the faculty return from this motivated and active, and are the ones who can really encourage their students, including, to take a full semester exchange if they want to Korea and Taiwan, perhaps knowing that the curriculum are so well aligned, because that’s one of the projects we’re working on to make sure that our engineering curriculum is aligned with the ones in Taiwan, for example, and likewise, their students can come here, and all of that over the course of many years, I hope, will really create a fluid and really mutually advantageous relationship between SUNY-Oswego, Monroe Community College, and the universities that we’re working with in that part of the world.

Christina: One of the things I’m excited for on this trip that we didn’t have in our trip to Korea is that we will have a representative from Micron, from their Virginia office, join us for the entirety of this trip, and we already have a working partnership with him here at MCC, with our workforce development staff and faculty. So I think it’ll be a great opportunity for us, for SUNY Oswego and for us here at MCC to brainstorm with him, to think about ways that we can partner once we’re back in the States, and perhaps think about ways that we can partner at some of these M icron locations globally, just having his knowledge and information on how he builds programs, I think will be great. I’m looking forward to that.

Josh: Yeah, that’s super exciting. So we didn’t tell them this yet. Christina, but when we were in Korea, besides visiting the two universities, one of our partner universities, Kyungpook National, arranged for a day- long visit to an industrial park near the city of Daegu, and we were allowed in for a tour of Samsung semiconductor facility, as well as seeing one of the clean rooms, one of the clean room demos at the university itself. So being allowed into Samsung, I mean, it was one of those places that… remember Christina, we had to check our phones at the door, like very secure place. This industry is really so high tech and proprietary, but they let us in for a great tour. We learned a lot about Samsung and the development of Samsung semiconductor. Similar, we’re going to do the same with TSMC or Taiwan Semiconductor in Taiwan, and Micron itself, because Micron operates a fab, actually, we learned two fabs, in Taiwan, and so we’re going to be able to see a Micron facility as well. So that industry partnership, both here and abroad, it seems to be crucial to the success not only of the industries, but of the universities that work with them. So I totally agree with what Christina says. It’s going to be really exciting for our faculty and for us to see how we can develop international education programs, not only at partner universities, but partnering with industries in all three countries.

Rebecca: You’re expecting for the student experience to start with faculty- led opportunities, where it might be short term opportunities to go to one of these two countries, explore some things with the guidance of a faculty member first, and hoping that grows into longer exchanges. Is that the model that you’re thinking about? or all the things, at the same time? [LAUGHTER]

Josh: You’re right, I think the faculty led opportunity is the most likely, and I say that for a couple of reasons. Again, we have great relationships with the universities in South Korea and Taiwan, similarly in Japan, and other places, but those places are far away, and most of our students do not have direct experience halfway around the world, in places where English is not spoken and cultures are quite different. Even though they’re safe and they’re wonderful places to go and explore, they’re culturally quite different for many students, and so having the faculty leader with that direct experience who can motivate and excite but also provide the trust and guidance necessary, I have a feeling, yes, that’s going to be the most popular. But if someone wants to go for a semester exchange or year long, they’re welcome to. We’ll have that for them as well. I’m not sure, Christina, if your student population would be similar in that sense.

Christina: The best fit for our students here at MCC is really a short-term faculty led program. 10 days is a good fit for the schedule that our students keep, since most of them work part or full time, they have family responsibilities, and so we have been able to use some of our COIL learning to launch some grants into faculty-led short term programs. Both the faculty chosen for this trip have had opportunities to create faculty-led programs. So I am thinking that that would be what I would like to do with SUNY Oswego in partnership, if we could do that. I think our faculty are excited to lead a trip back to Taiwan and Korea with students. So, I’m looking forward to doing that with a combination of, again, some kind of virtual exchange, some COIL, collaborative online international learning.

Josh: That’s a really good point, because a lot of students at SUNY Oswego as well want to study abroad, or want to travel abroad, but cannot for a variety of reasons, including costs, time to graduation, other responsibilities, like Christina says, and that’s a huge issue. We’re proud of the proportion of students that do study abroad, but it’s still quite small. Probably in our best year, it might be 20% of our population, which is really good, but that’s still 80% who don’t. So those students who cannot take part in that experience, we can develop, whether it’s COIL or something like an exposure to that industry. There’s all sorts of things going on in this field that I was not aware of, things like virtual clean rooms and virtual experiences, or just joint projects focused on semiconductor that our students can work on with students from Korea or Taiwan. But for the students who do go, and that’s one of the big main goals and purposes of the grant. I just think about when that person who graduates and is going for a job interview or filling out an application, and they got the opportunity to travel to Taiwan and actually do a research project or a placement, or maybe we’ll get to the point of an internship at Micron or at a semiconductor fab overseas, that that student will have a competitive edge in the job market. They’ll be more prepared for their career, but we want to be a career- ready institution at SUNY Oswego and I know Monroe is the same, and so we feel that these programs will have direct career benefit for students: more likely to get the job, and then, once they’re in the job, and again, they’re more familiar with the global semiconductor ecosystem. And importantly, they’ll have had some exposure to this part of the world that maybe some of their peers won’t, and that’ll help them in their career.

John: And I would think that there would be some advantages, particularly in STEM fields, for relying to a greater extent, perhaps on virtual exchange or for short-term visits, because most STEM majors have very extensive degree requirements that are already difficult to fit into the curriculum. But by doing things virtually or by having short-term visits, I would think that would make it a little bit more feasible for students in majors with more barriers, because of any of these reasons that you’ve mentioned, or just the number of courses required specifically.

Josh: I think that’s why Christina and I got this grant. I mean, we thought really creatively in the proposal, and to its credit, the grant parameters required community college. I think they were thinking that exact way is, how do we get STEM students? How do we get more career oriented students who also have barriers to study abroad, more involved? Again, they didn’t tell us what to do, but we got creative, and we talked to faculty, and again, each professor who’s going had to put a proposal together of what they could imagine doing in terms of the international experience. And yeah, to your point, John, it really forced all of us to be more creative and more inclusive.

Christina: So here at MCC we have a wonderful workforce development program. And I often do think about how our STEM majors can do some kind of global exchange, because their degree requirements follow a very specific pathway. And there are some that I have been able to find where students can do some semester-long or short-term programs. But our college is unique in that we are often training the workforce in sort of technical careers, and so trying to think about how we do that as a global experience is something that this grant has really helped me think about how we can do that. Most of our students have state and federal funding for school, which requires them to stay within their degree required courses. And so I think we’re trying to think creatively how we can create a capstone that will be part of their program, that could also incorporate some kind of short- term exchange.

Josh: Christina mentioned one of her colleagues from Monroe was in geospatial technology. One of our colleagues in the first delegation was in global international studies. There are a lot of angles that you can take with this topic… site selection. I know that was something that the geographer was particularly interested in, is how a site gets chosen. The footprint that Micron is talking about with its fabs, it’s enormous, so people saw how huge the track of land is that they’re using. And of course, it’s close to the lake and there’re wetland issues involved. So there’s a lot to that from the geographic and the sustainability angle, but also from Global Studies. I’m interested in the topic. How is it that United States and Korea and Taiwan, in this case, are all friendly nations, all allies and strongly aligned with each other. How we interact politically, diplomatically, economically, is of interest to me, especially in such a sensitive technology. And I think we know there are some restrictions on this technology export in certain parts of the world, but also the nexus between education institutions, public education, university, higher education and industry, and how that’s managed, and how governments facilitate that. I think we’ve all seen in New York state how the federal government, state government, local county governments have gotten involved with the Micron project. And sure enough, they have similar approaches on this overseas. So even just understanding how societies are getting ready for investment in technologies like this, all that’s fair game, as well as business and logistics, packaging and shipping these things, and controlling that. So there’s a ton of areas that I think we’re going to be able to explore over the course of the years that we’re involved in getting ready for Micron.

Rebecca: I can imagine that the industry alignment piece of this international project’s a bit different than some of the other projects that you’ve worked on in that it brings industry together, international partners, as well as our institutions. Just from what started to unfold, are there some lessons that you’ve learned that you might share with others that are exploring some similar opportunities?

Josh: That’s a great question. I’ll give my take. We’re still right in the middle of this project, so it’s hard to think fully. But I guess the thing that really has stuck out for me, again, not being an engineer, not being really too familiar with the technology behind it, is how open minded people are about this, at least with the partners we’ve chosen and the types of educational exchanges we’re talking about, all fit with their interests to both the universities that we’re meeting with and the industries. It’s like we’re all open minded about this. And my take on this, I’m not sure what Christina’s is, my take is that we all are in the same ecosystem. And you realize very quickly that something as crucial as semiconductors and other industries, I think, like this too, they all kind of rely on each other, and so working with an educational partner in the United States who has relationships in Korea, Taiwan, that makes sense to our industry clearly, and I sense the same from our partners in Korea and Taiwan as well. It’s like we’re eager to share, we’re eager to learn, and we play a crucial role in that as educators.

Christina: So when we were in Korea, I was really impressed by their national priority to make sure that their students are globally educated. And in several of the colleges that I visited there, they made it known that a requirement was for their students to do some kind of global exchange, whether it was studying in a different country, outside of Korea, and then coming back to inform the Korean industry about the global landscape in technology or in whatever field the student was studying. So of course, I think that’s a priority for our students as well, for MCC and SUNY Oswego, but I also am thinking really deeply right now about the importance of global education as a pathway to diplomacy around higher ed institutions, and how important it is for our students and for us as faculty and staff to continue to develop these global relationships across boundaries, so that global education is a strong skill that our students have. I would also like to say that I was really excited that we got this grant together with SUNY Oswego. I think it’s a great partnership, and I’m very happy to be part of it.

Josh: Yeah, me too. Monroe has been a terrific partner, and their technologies and their facilities for training students and workers are really advanced. They’re incredible. One more thing comes to my mind, Rebecca, about this project, is a lot of us in higher education or education in general, probably don’t interact with industry very much. And when I said about being open minded, I found the industrial partners that we’ve worked with in all the countries we visited so far, I’ve learned something amazing every time I talk to them. And I feel that if we’re going to be the type of institution, and I believe both Monroe Community and SUNY Oswego are, but for others out there who very much want their students to graduate and get good jobs and be able to manage student debt and all the things that we’re concerned about in higher education today, there’s nothing like direct interaction with employers. And I agree with Christina, this could apply in other industries as well. This is just semiconductor, but direct interaction with employers and hearing what they’re looking for, and hearing the kinds of issues that they’re dealing with, and in this case, governments explaining it as well. It’s eye opening. And I think it’s good for us. I think it’s good for me, it’s good for higher education overall, to have that exposure and really to maybe check your assumptions about what a university education is going to lead to for students, because a lot of things are changing, and something as crucial as semiconductor industry, it’s really highlighted to me that these folks can’t wait. They really need the right workers and the right fit and the right skill set. And it’s globally competitive, but also globally one ecosystem that they all interact with. It’s fascinating, and very important too.

Christina: One of the priorities here at MCC around global learning is to understand the impact of global processes on the local economy and vice versa. And so I’m hoping that any programs that we bring to MCC will highlight how connected we are to the world, and we have a very global campus, and also educating the students on the importance of understanding the global workforce is something that I think is important for me to highlight in what we do here.

John: So we’ve talked a bit about the benefit to the institution, the benefits to the region, and so forth. But this is a federally funded grant. What are the benefits to the country of the Chips and Science Act, and what was the motivation behind this act?

Josh: So yeah, we take that responsibility very seriously. It is a federal grant, and it allows two institutions, SUNY-Oswego, Monroe Community College and 10 of our faculty colleagues to have this incredible experience. So it is funded by the American people, and we take that responsibility very seriously. For me, I think it’s partly about global competition, making sure that the United States is competitive, remains competitive, in a crucial industry like semiconductors. I think it’s also the federal government, kind of putting its money where its mouth is, to say that we have the best universities in the world. We have the best technical talent, the most innovative creators and founders in the world, and many of them come to the United States from outside and start businesses here. But at the same time, we can’t rest on our laurels, and that there’s a huge sector of society, regional public universities like SUNY- Oswego, community colleges like Monroe, who maybe don’t have that level of research, because that’s not our focus. But yet, we have incredible faculty, incredible facilities, and our students are ambitious, they’re bright, they’re hard working, and they have a place in this global semiconductor industry as well, and it’s our responsibility to get them ready for it. So to me, that’s what it says.

Christina: One of the things that I have been thinking about as some federal grants have ceased, is how important it is for our students, who are often employed regionally. And I think it’s similar at SUNY-Oswego that students are employed regionally after their education about providing more opportunities to students through any grant agency so that they can have a better understanding of the world, the globe, how their work here is impacted by things happening around the world, and the interdependence of our community, our industries, our workforce. And I’m also like, I’ll say before, the diplomacy aspect is really important to me in terms of creating partnerships around the world. And also, I know this is an interest of Josh’s as well, but that intercultural understanding when we are working in partnership, whether it’s in a collaborative base in the classroom, or if we’re working across industries. I think that intercultural knowledge, that understanding with intercultural communication, all of that, is really important in the work we do around global education, and really important that these grant opportunities that we get help support that sort of worldview.

Josh: Yeah, preparation… definitely agree.

Rebecca: So, we always wrap up by asking: “What’s next?”

Josh: Oh, I know, this is my third time on the show, and I always think to myself that next time, I’m going to prepare and have a better answer. [LAUGHTER] But no, I love the spontaneity of it. Two things are, for me, what’s next, and by the way, I would like to say that I’ve worked in international higher education for over 30 years now. I think this is the highlight of my career, this project, because it ties in so many things that are important to me, the intercultural development that Christina spoke about, crossing borders in general, and how challenging that can be for students and for institutions to do it safely and productively, but also the importance of it, the importance of the project overall, for the reasons we’ve spoken about. So I think about two things about what’s next, developing really innovative and strong education abroad experiences that result from this. We talked a little bit about faculty-led short-term programs, and a little bit about COIL exchange, but I’ll view this as being truly successful and transformational when SUNY-Oswego students are doing internships in Taiwanese semiconductor companies, and we are hosting visiting faculty from Korea and Taiwan on our campuses, and they’re teaching seminars and courses on this topic. What I’m trying to say is when the level of relationship is that deep and that fundamental in this industry, but in the meantime, we got to build one step at a time. The other thing I’m thinking about is, where else we do this? The countries we chose for this grant are ones that SUNY Oswego had good partnerships with, but there are other places in the world too that are crucial in this industry. Japan is a leader in this. There are companies in the Netherlands and Germany that are very strong. All of these places, we have partnerships. So it’s possible that we can even expand this further.

Christina: So I think the what’s next for me is that I’m always thinking about ways for our community college to partner with other institutions, and also thinking about how our students can have a global perspective, a world view in anything they’re doing here, whether they are working in the semiconductor industry, in nursing, as a GIS technology systems student, sustainability. I think all of those things are important for me to think about. How our students, even if they remain local, if they remain in our region, that they will enhance what they’re doing with a world perspective. So I’m excited to bring an opportunity to the students with these partnerships that we create with SUNY-Oswego and in Taiwan and Korea, and really excited to bring that perspective here to MCC.

Josh: And Christina, we’ve been so focused on our international outlook on this project. I think Monroe Community College and SUNY-Oswego are going to work a lot more closely together in this field. I don’t think we quite know, and that’s not necessarily our responsibility to do that, you and me, but I see our two institutions really gelling well with this project, and as the workforce needs of the region continue to grow and get more sophisticated, I think this project will help even beyond our offices.

Christina: I think that’s true. I’m really looking forward to that

Rebecca: Well, thank you so much for joining us today and sharing some insights into your project.

Josh: Thank you for having us, and I appreciate this program. I’m a regular listener, and I always learn something. I hope we shared something of value today, too.

Christina: Thank you so much for having us on this podcast, and thank you to SUNY-Oswego for this partnership.

John: Well, thank you. This is a wonderful program, and it’s one that perhaps many other institutions should consider participating in.

Josh: Thank you.

[MUSIC]

John: If you’ve enjoyed this podcast, please subscribe and leave a review on Apple Podcasts or your favorite podcast service. To continue the conversation, join us on our Tea for Teaching Facebook page.

Rebecca: You can find show notes, transcripts and other materials on teaforteaching.com. Music by Michael Gary Brewer.

[MUSIC]

423. Using AI for Project-Based Learning

Students are motivated to learn when they have autonomy and see the purpose in what they are learning. In this episode, Tara Chklovski joins us to discuss a curriculum in which students use AI tools to solve challenging problems in their communities. Tara is the founder and CEO of Technovation, a nonprofit developer of a curriculum used in over 160 countries and reaching over 400,000 students, to prepare young women for careers in technology.

Transcript

John: Students are motivated to learn when they have autonomy and see the purpose in what they are learning. In this episode, we examine a curriculum in which students use AI tools to solve challenging problems in their communities.

[MUSIC]

John: Thanks for joining us for Tea for Teaching, an informal discussion of innovative and effective practices in teaching and learning.

Rebecca: This podcast series is hosted by John Kane, an economist…

John: …and Rebecca Mushtare, a graphic designer…

Rebecca: …and features guests doing important research and advocacy work to make higher education more inclusive and supportive of all learners.

[MUSIC]

Rebecca: Our guest today is Tara Chklovski, the founder and CEO of Technovation, a nonprofit developer of a curriculum used in over 160 countries and reaching over 400,000 students, to prepare young women for careers in technology. The current focus of Technovation is on teaching students to use AI to solve real-world problems in their communities. Welcome, Tara.

Tara: Thank you, Rebecca, thank you for having me.

John: Our teas today are… Tara, are you drinking tea?

Tara: Yes, I am. [LAUGHTER]

John: What kind of tea are you drinking?

Tara: It’s Costco’s green tea. I love it.

John: Very good.

Rebecca: Excellent. I have a Twinings English breakfast that I actually got when I was in London.

John: I have Twinings English breakfast that I got delivered to my house by Amazon. [LAUGHTER]

Rebecca: Actually, I made a whole pot this time, John, like it’s the good stuff. So we’ve invited you here today to discuss Technovation. But before we start with that, can you tell us a little bit about your journey to this position.

Tara: Yeah, I grew up in India, and I always wanted to be an aerospace engineer, and I came to the U.S. to do my Masters, and then my PhD. And it was just interesting to me that I did an internship in India at Hindustan Aeronautics Limited, and I was one of the only women on the research and development team, and then when I came to the US, and I was doing an internship at a drone company, I was also one of the only women on the research and development team. And it was just very surprising to me that the most powerful country in the world had a similar kind of talent makeup and distribution as a very low-income country. India was much lower income than it is now, and it made me kind of think about it, and it was just surprising to me to run into people in the U.S. where, especially women, thought it was okay to say, “I’m just so bad at math,” and that is almost like such a shameful thing to say in India, because it’s kind of saying like, “Oh, I’m not intelligent or I’m not a good person.” And it was just kind of interesting to me to see the culture of even people in a wealthy country just assuming that certain paths are not open to certain people based on their gender or socio-economic status, and in the richest, most innovative country in the world, that’s also the most entrepreneurial, that was just such a shock to me that that is okay for us to say. And so I stepped out of my PhD program and actually started a nonprofit 20 years ago, and the goal was to bring cutting-edge technologies and an innovator’s mindset to groups that are not typically thought of as innovators, and that was the sort of path. And we were funded by the U.S. Navy in the early years, and we were very, very data driven, trying to figure out what type of model makes the most impact on students and their mindset as a innovator. And one model really rose to the front that had a durable impact on students’ identity as a problem solver, and that was a three-month long experience where you work in a team, find a problem in your community, and actually build a technology solution and present it to your community. And that experience is unforgettable. And 10 years after that experience, students would choose STEM careers because of that very, very formative, collaborative learning experience. And when we saw that, it was like, “Okay, this is it, and we need to scale this up.” And we brought it to 120 countries, and it has run primarily as an after-school program, and now we have adapted a new version of the same curriculum, but making it easier for educators to use in the classroom. And that’s the AI in Action curriculum.

John: Can you tell us about this program?

Tara: Yeah, as I was sort of mapping out the journey, it is really our Technovation curriculum and our Technovation model of supporting students to go out into their community, talk to nonprofit organizations, actually any organization, find out what are some big problems that are impacting people, and then developing a technology solution and testing it with those users. So we started doing AI nine years ago, before anybody was talking about AI. Nvidia and Google and the Patrick J McGowan foundation were the three sort of leaders who recognized what was coming and wanted to make sure that there was a lot of education support built in when AI really became mainstream. And guess what? It took about nine years for it to become what it is today. And so we are entering the space with a lot of evidence-based curriculum, a lot of incredible stories of students actually using and building AI solutions for good. And so, as I had mentioned, this curriculum has run primarily in after school, and so we adapted it to be a shorter version that educators can adapt for in school, and you go through the same sequence of how do you find a problem that’s a meaningful problem, impacts a lot of people, and you need to have no prior technical background. How do you actually build an AI prototype? How do you build your own data set? How do you train a model? How do you make sure that it is not going to hurt anyone? And then actually test it with users, iterate, and then present it to the broader community on kind of like a demo day.

Rebecca: You mentioned that it was after school, now you’ve shortened it so it can be embedded into curriculum at schools. How do educators come about the program and actually bring it to their classrooms?

Tara: Yeah, so it’s completely free. Just go to technovation.org, and you can go onto the curriculum. And so there are two tracks. Basically, one is a competition track, and that is primarily for girls, and so that has typically been what we’ve been running after school. And then we have the AI in Action track, which is for educators, for use in the classroom, again, completely free, and you can access it from our website. You can also sign up for our educator guide that will provide you. Again, you know, you need no prior AI background, and the exciting thing is, we want you to become part of our global educator community and get connected to other communities of practice, learn from one another, and especially for students, its super inspiring to see what other students around the world are using and building to improve the world.

Rebecca: Can you talk a little bit about the competition track, why the focus has been historically on young women?

Tara: Yeah, we don’t have, like, I started like, the problem statement. I think every one of the 190 countries legally discriminates against women. They have a very big ladder to climb. And I just think that a country really loses out on innovation when you just have one type of person that is in the leadership role or in the sort of innovator’s seat. And, I think, if a country is really to make progress, you want everybody to have these kind of future-ready skills and these future-ready mindsets. And so I don’t see this as from an equity lens, I really see it as this is what a country needs to innovate and to stay thriving. So that, especially in the age of AI, where so many of your traditional white-collar prestigious jobs are being automated, there’s a real question of like, what are the big problems that are left for humans to solve? And these are these very complex human-related problems where so many people don’t have access to healthcare, education, there’s hunger across the US. And so who’s solving these problems? These are very, very difficult problems, and we are not empowering students to tackle these very complex problems. And so I think that this kind of future-ready skilling and mindset is really important to bring, especially to groups that have not been part of that.

John: Can you tell us a little bit more about the competition track? How is it structured?

Tara: Yeah, absolutely. So there’s just so much evidence to show that having a deadline motivates humans to try doing big things in a short amount of time. And so, yeah, it is a challenge and the challenge is find a problem in your community with a team. And so we invite girls to form teams sometime around now, anyone can go onto our website and register and start basically going through all the steps. As an educator, you can think about if you want to invite or do a club, or an after school club, or bring some students together, and then have the students self select into teams… anywhere between one to five… and then the most exciting part is for them to find a problem that they all care about, that they want to solve. And this is the highest learning opportunity, because they have to sort of think about their own value systems, who they are as people, what do they care about, and then they have to compromise as a team. And so the collaboration that happens there is very, very deep, and the conflicts that happen and the negotiation that happens. Once you register on the Technovation platform, we try to connect every team with mentors from industry, depending on your zip code or whether you’re virtual, and so educators are always connected to more help, so that the teams are not on their own. And then the team of girls and mentors walk through the 12-week curriculum. There are three subtracts divided by age. So beginners, eight to 12, junior is 13 to 15, senior is 16 to 18. And now we have an advanced accelerator track for 19 to 24. And so the curriculum is appropriately scaffolded for these age groups. And then, yeah, you spend 12 weeks actually prototyping, testing your product with users, and then doing that final demo day. And depending on how effective your solution is and how big your problem is, you may make it to the different rankings, so quarter final, final, and then we have the big world summit, where we apply the finalists from around the world. Last year we had it at Nvidia, and that experience is absolutely life changing for these girls, because they make friends with other innovators from around the world, and they stay in touch with them, and that’s their cohort of fellow inventors. So yeah, that’s the whole journey. This past year, we had about 33,000 girls compete.

Rebecca: That’s wonderful. I’m thinking, as an educator, it sounds really enticing and really exciting, but also maybe a little overwhelming to like, take a group of students on a journey like this. You mentioned that maybe the educators don’t necessarily have to have a background in AI, but what are some things that they would need to be prepared to do to lead a project? And is there training for the educators?

Tara: Absolutely, there’s a training for educators, and you can sign up, and now is the time, and you get connected with my incredible team of colleagues who absolutely love to support educators on this professional development journey and this journey of sort of bringing a sense of purpose to their students. It’s so, so fulfilling, because it’s not like your average class project, because you’re actually going out into the community. You have students listen to people and hear about their problems and then frame a solution. And students are very self motivated, because when you sort of promise somebody else that I’m going to make a solution for you, the students have an increased sense of accountability and responsibility, which grades can never do. And so you really unlock this deep sense of purpose and a problem solver’s identity in students, and that’s very fulfilling for educators. So Rebecca, you’re absolutely right. It feels overwhelming, but I think the thing to remember is like, there’s no right or wrong, because even a very lightweight experience for students is very powerful, and like with FIRST Robotics or any kind of competition framework that lasts for a long period of time, every year you do it, you get more students, you understand things a bit better, things become familiar, and you just get better at facilitating. But you’re not alone, and I think if you keep in mind that you don’t need to be the expert, but you can basically use AI to solve so many of these questions that you may have, it’s not going to be that overwhelming, because if there’s something that you don’t know, you just say, “I don’t know, let’s go find out.” And that part is just fun. I find that it’s so exhilarating to work with young people, because they’re so unafraid, like I’m afraid to try new things and break things, they just go bang at the keys, break things, and nothing happens. And it’s very inspiring to me, and that kind of reverse mentoring is something I’m like, “Yeah, I’m a facilitator, but I’m learning so much here too.”

John: You mentioned that the AI in Action curriculum was free. Who bears the costs of this? I know you’re a nonprofit organization.

Tara: Yeah, that’s a great question, John. So technology companies and our corporate partners who are really interested in building a talent pipeline, a talent network, because if we are to increase resilience in the United States, there is a real question of, where are the people coming from? And so the industry is very, very interested in addressing the skilling problem. AI skilling is a very important part of the full AI supply chain, and that’s what they have been supporting, the development the build out of the curriculum, as well as engaging their employees as mentors.

Rebecca: I want to pick up on something you were just talking about, which is there’s a lot of opportunity for educators to learn from students about lack of fear. A lot of college students, for example, are more comfortable with AI than maybe some of the faculty. Is this also true in elementary and secondary education, and if we’re going to venture into an AI space that we might be unfamiliar with, what are some basic things to get started?

Tara: I honestly think the Technovation curriculum and experience is a very powerful one, because it actually unlocks and opens up the black box of how a large language model works. I’ll give you one example of what a student builds, because it’ll help you immediately understand what it means to build a dedicated AI solution for a problem. So a girl was looking to clean a local lake. This was in India, and bringing volunteers together, and she wanted to sort of give some data back to the volunteers about how the lake was getting better, and she didn’t have access to a water sensor and her idea was she would train an AI model to detect the sounds of birds, and more birds would come as the water became cleaner. And so when she was looking online for an AI model that would automatically detect bird song, she only came across North American models. And so she built her own data set of Indian birds so that it could actually recognize the Indian bird songs. And these are examples of students around the world building new data sets that don’t exist currently for problems that are not being addressed by the AI models and solutions out there. And so educators can really be on the forefront of that if they were to partner with young people and students. And that’s where the innovation lies, and the only thing holding us back is fear. And I think we’re all super busy, and so the other thing holding us back is that we probably feel too overwhelmed and uncomfortable to make time and to prioritize this. But here’s the thing like, this is unlike previous technologies. This is unlike the internet. This is unlike mobile. This is unlike a lot of the other kind of technology waves, because it’s never threatened what humans did so closely. And the kinds of conversations we are having today are very different from what we used to have before, because sort of what it means to be human is being questioned when an AI, sort of chatbot responds sympathetically to you, and what if you didn’t know it was an AI chatbot, like, what if your friend was not a true friend and responded in a similar sort of robotic way? It still makes us feel the same way, right? And so that is a very scary piece, because that means that I don’t know what it means to be uniquely human. And so I think that over the next five years, people, especially our age, adults, if we are not fully grasping our hands around this crazy, scary thing, we’ll just get more and more buried by our own fears. And so the most we can do is to really embrace it and experiment and young people do it the best. So I think the Technovation model of adults co-learning with young people is such a powerful and a fun way. Otherwise, online learning is so boring. [LAUGHTER]

Rebecca: One thing that you’re highlighting is having a goal, [LAUGHTER] or like a problem that you’re interested in and connected to and that you want to solve. And I think that’s always a motivating way to pick up some new skills.

Tara: Absolutely, and I think grounding it in your community, whatever your community would be, it could be physical, geographical, online.

John: Now, I know at the college level, students are often racing a bit ahead of their professors in terms of adopting AI tools, and in terms of that willingness, as you said, students are much more willing to try things and not be too worried about the risks of things breaking, but I know a lot of college professors are a little reluctant to try it. Are you seeing the same sort of things in K-12 education? The response of many school districts initially was to try to ban the use of any AI, but that broke down pretty quickly, but are you still seeing that same sort of resistance to introducing AI tools in K-12 education?

Tara: Absolutely, you can see it everywhere. It’s the same kind of percentage of adoption, fear, hesitation, almost in every workplace, and especially so in the education space, because it takes so many years to build curriculum, build evaluation methodologies, set those systems in place, align teacher… like all the incentives and performance around that. And so I think we’re going to have this period of intense chaos where the evaluation methods have not caught up with the tools that students are using. And so I think the place is really to have open conversations with your students, because this is such an interesting time. You can bury your head in the sand and say, “This is above my pay grade,” or “This is not my job,” or you can really engage your students in some fascinating questions about how they are using AI tools to do their homework at home, and how do they see their brains changing as they are using AI for a lot of their assignments. And I think that will be very, very interesting. I don’t know if schools can quickly adapt and ask these questions, of like, what are the skills that are important to teach? Because I think we’re all grappling with that question. I think when people talk about empathy, being uniquely human, I was just kind of saying, I don’t know what that means when a chatbot can mimic empathy much better than even a human could. So I think that this is a time for parents and educators to really open their minds and actually ask young people and their children, no matter how young, because guess what? They’re all using AI. What do you think is happening in your brain? I have two daughters, and my older one was saying that she can feel her brain going soft in some places, but being exercised in different ways. And so that’s very interesting. Like, I totally feel my brain going soft in some ways and stretching in other ways. And so, yeah, what is happening here?

John: People who already have become experts or have developed some expertise in an area are able to critically evaluate the output of AI systems. But there’s a lot of concerns that beginners might do some cognitive offloading and not develop those critical thinking skills needed to critically evaluate the output. And we know those hallucinations do occur because of the nature of these models. What can teachers do, at all levels, to help develop the critical thinking skills needed to be able to critically evaluate the output?

Tara: I think that’s such a great question, John. And I’ll come back to really encouraging students to tackle the big problems, because complex systems thinking is not a linear problem, like where you follow a bunch of steps. I’ll give you an example. A very common problem that students try to tackle is hunger, especially in the United States. And the problem is so complex, because many people in the middle class families see the amount of food being wasted in restaurants, at your home, and so you immediately think, “Oh, what if it was a better food distribution method that would bring this food that’s being wasted to the people that are hungry?” And many people will just stop at that solution, and that is not a solution. The hard part is, really, this is perishable, these are perishable items. They’re dependent on preferences. It’s dependent on where you are, and the cost of logistics and transportations are enormous. And how would you do that at scale? Everything can be done for one little thing, but you’ll break down when you do it at scale. And so that’s a complex system, and that kind of mental mapping and problem solving is completely different from the little project that you would outline to a student. And so those are the kinds of skills that are really the ones that are what we need. And I think teachers have… there is time in the classroom. And if you align a lot of, I think, reading, literacy, math standards, into a rich project like this, I think you are preparing students very well for the future. And then they’re completely understanding they’re using AI at every step of the game, at every step of that way, and they’re seeing exactly what you were mentioning because they’re so invested in the end outcome that they’re checking and they’re like, “Wait, that doesn’t line up.” And so they’re motivated, they’re invested in their learning journey. I see students short cutting when they don’t care. We’ve traditionally sidestepped that question when students ask, “why should I care about this? Why does this matter to me?” And we typically say, “This is important for your brain, this is important for your future.” And I think we can’t hide behind that for much longer.

Rebecca: You’ve mentioned that the competition track at least is 12 weeks and I know the one for the AI in Action is a little bit shorter, but there’s a structure to it, because it goes week by week. Can you talk a little bit about what that structure looks like?

Tara: Yeah, absolutely. And so the very first part is problem identification, kind of like what we were talking about, and not very broadly, like, “Oh, I’m going to solve hunger,” but really narrow it down into what exactly is the problem, and then how can AI technologies actually address it? And so if you were to go back to our hunger example, it could literally be, how do we use AI to predict supply and demand? And how could we make the distribution of unused food as efficient as possible with minimal use of gas and energy and things like that? And so that problem identification, a meaningful problem, takes a few weeks, and we provide a lot of exercises, worksheets, for students to be able to do this, and for educators to facilitate that. The next phase would be prototyping, where you actually prototype on paper, and then you go out into the community and get feedback from actual people on would this actually help you? Where are you getting stuck? And then kind of building out the user interface for that. Third stage would be to actually start to code it, and this is where they’re learning whether they’re going to build it as a mobile app, or have it as a website or whatever. And then you start to think about, once it’s actually working, you test it again with people, and then you actually think about, how can you bring it to a lot of people? And so there’s a marketing element to it. There’s a business element to it. You look at competitors, you look at how much money is needed to actually scale it. And so that’s where that entrepreneurial learning happens a lot. And then the last phase is again, after iterating your solution a bunch of times, you actually develop a pitch video or a pitch where you tell your story and you practice explaining your solution to a larger audience so that more people adopt it and give you feedback. So that’s the full spectrum, and it’s a spectrum of starting a startup. I think for educators, and Rebecca, you were talking about like it’s a very real thing, like when you’re busy on your day to day, it feels overwhelming to try something new, to learn something new, and to restructure your life to make room for that. And I think that, as I was saying, that this is a very unusual time, and you may think that, “Oh, I’ll be fine,” but the option is, there’s a very real risk of jobs being completely eradicated. I think educators are not going anywhere, because we learn best from humans, but you can really be a superstar if you learn how to leverage these tools to support you, rather than have that be pushed down on you when you’re not ready. And so I think taking ownership of your own learning journey and your career and your professional development, I think it’s a very exciting sort of juncture for adults today where you can choose to really be a world class superstar because you have the world class superstar tools at your disposal, and the only thing holding you back is your mindset.

Rebecca: So we always wrap up by asking, what’s next?

Tara: Yeah, I think for us, it’s really about trying to support and get educators to help their students get ready to solve these big problems. Because I sort of see an extreme case where corporations are making so much money with AI automation, maybe, like, I don’t know whether universal basic income is a real thing, but what if it is? Then the big problems that corporations will not be solving are the ones that still cause human suffering, healthcare for all, high quality education for all, no hunger, and those are not incentivized by industry. And so whose job is it to solve those? It’s our job. And I think that really encouraging students to have that sense of empathy and empathize with another human’s suffering and to try to do something about it. I think that’s the core of what makes us human. And so that’s why we want to bring this and work with educators to bring this to many, many more students.

John: So if people would like to find out more about the program, we’ll include links to your website so that people can learn about the AI in Action Program and the other programs that you run. And thank you for all of your work on this.

Tara: Absolutely. Thank you for having me.

Rebecca: Yeah, thank you for sharing this exciting work. And it’s even better that it’s free.

Tara: Yes, absolutely!

[MUSIC]

John: If you’ve enjoyed this podcast, please subscribe and leave a review on Apple Podcasts or your favorite podcast service. To continue the conversation, join us on our Tea for Teaching Facebook page.

Rebecca: You can find show notes, transcripts and other materials on teaforteaching.com. Music by Michael Gary Brewer.

[MUSIC]

421. Why the Magic Matters

Disney is a common shared cultural experience. In this episode, Jill Peterfeso joins us to discuss how Disney’s pixie dust can hook students and provide opportunities for critical examination in a variety of disciplines. Jill is the Eli Franklin Craven and Minnie Phipps Craven Professor of Religious Studies at Guilford College. She is the author of Womanpriest: Tradition and Transgression in the Contemporary Roman Catholic Church and a co-editor of Why the Magic Matters: Discovering Disney as a Laboratory for Learning.

Show Notes

  • Peterfeso, J. (2020). Womanpriest: Tradition and Transgression in the Contemporary Roman Catholic Church (p. 285). Fordham University Press.
  • Franzese, A., & Peterfeso, J. (Eds.). (2025). Why the Magic Matters: Discovering Disney as a Laboratory for Learning. Bloomsbury Publishing USA.
  • Twinings Tea Caddy at EPCOT.
  • Jill Peterfeso (2021). Leveraging Disney Magic. Tea for Teaching podcast. Episode 207. September 29.
  • The Disney Dish podcast
  • Steele, Bruce (2019). One Day at Disney: Meet the People Who Make the Magic Across the Globe. Disney.
  • Giroux, H. A., & Pollock, G. (2010). The mouse that roared: Disney and the end of innocence. Bloomsbury Publishing PLC.
  • C, Eric Lincoln and (0awrence H. Mamiya (1990). The Black Church in the African American Experience. Duke University Press.
  • Snyder, T. (2021). On tyranny graphic edition: Twenty lessons from the twentieth century. Ten Speed Graphic.

Transcript

John: Disney is a common shared cultural experience. In this episode we discuss how Disney’s pixie dust can hook students and provide opportunities for critical examination in a variety of disciplines.

[MUSIC]

John: Thanks for joining us for Tea for Teaching, an informal discussion of innovative and effective practices in teaching and learning.

Rebecca: This podcast series is hosted by John Kane, an economist…

John: …and Rebecca Mushtare, a graphic designer…

Rebecca: …and features guests doing important research and advocacy work to make higher education more inclusive and supportive of all learners.

[MUSIC]

John: Our guest today Jill Peterfeso. Jill is the Eli Franklin Craven and Minnie Phipps Craven Professor of Religious Studies at Guilford College. She is the author of Womanpriest: Tradition and Transgression in the Contemporary Roman Catholic Church and a co-editor of Why the Magic Matters: Discovering Disney as a Laboratory for Learning. Welcome back, Jill.

Jill: Thank you. It’s so good to be back. I’m really happy to see you guys again.

John: It’s really nice to talk to you. It’s been too long

Jill: It has. How are you, Rebecca?

Rebecca: I’m doing well. It’s been far too long for sure. Today’s teas are:… Jill, are you drinking some tea with us today?

Jill: I am. I just got it ready. This is an apricot tea. It is a light black tea by Harney and Sons. It’s really delicious. What about you guys?

John: I’m drinking a black raspberry green tea today.

Rebecca: And I have English tea time today. Very good… from England again?

Rebecca: No, it’s not my super fancy stuff, it’s grocery store, too. Sorry.

John: Recently she’s been bringing you these tea she’s picked up at Scotland or in England and other places during her travels. My travels are usually to Wegmans or to Amazon.

Rebecca: …those far, far away places.

John: …although very soon I will be stopping at the Twinings Tea Caddy in Epcot.

Jill: I’m so excited.

John: …which brings us to the theme of today’s podcast, which is your work on Why the Magic Matters. In an earlier podcast, you had described how you had incorporated Disney into several of your classes, including a travel component, but this new book extends this work in some new directions. First, though, before we talk about the book, could you tell us a little bit about how you developed an interest in Disney as an area of academic interest.

Jill: I came to Disney as an area of academic interest through teaching. It was 2014-2015 and I was asked to develop a first-year seminar, which is this class that all first- year students take, introduces them to college, introduces them to the liberal arts. But sort of the catch is, we don’t want it to be too clearly in your area of expertise. So it couldn’t be about American religious history, which is my area of expertise. It couldn’t be about Catholicism and women, which I’ve written a book on. It needed to be something that was going to be an area of discovery for me, as well as my students. And as a lifelong Disney fan, I thought Disney would be a really fun class to teach to first years, and I think it would be a good hook. I think they’d want to take that class. I developed that class. I taught it for the first time in fall 2015, and it really was an amazing opportunity to discover something in a back- door way. It wasn’t like, “Okay, I have this whole huge foundation that I developed through grad school and years of research and training from the experts. This is really like me doing a deep dive into something that I’ve always been curious about, and inviting students in on the journey.” That’s how I came about it. I taught that first class, and I taught that FYS, gosh, I think four or five times since then, I’ve also gone on to teach a couple other classes. I taught a class on Disney narrative magic that was a cross-listed English religion class. And then I’ve taught two study away classes on Disney that involved a trip component. I’ve gotten to do a lot of things with Disney, which is really exciting. What I didn’t expect when I first started teaching Disney was that it was going to turn into an area of academic interest and research. And I really happened, probably, I think about my second time teaching that first-year seminar, I found that we were having conversations in the classroom about these issues that I talk about in my American religious history classes and other things that I research and study and share with students. And so it was becoming clear to me that there was an alignment of Disney with my other research on Americanness and what people believe and why and how American history gives rise to culture. And so really, since about 2019 as I was finishing up Womanpriest, my first book, I’ve been thinking about ways to turn Disney into something academic. Teaching blended in with a lot of my own personal biography, like I was one of those kids who had The VHS tapes as a kid. We had the records, the little mini records in the books, and they were Disney stories. And I got to go to Disney World when I was eight, and it changed my life, like that that place existed was really mind blowing to me. So it’s been just like a really happy accident of all these things coming together, and it really makes sense as an area of academic focus. I don’t think many of us who do Disney studies do that in grad school. I think a lot of our grad advisors would be like, “Really?” but it’s something that we find once we’re a little more established and trying to find cool things that grab student attention. Disney works for that really well.

Rebecca: Can you talk a little bit about the origins of this particular book project, Why the Magic Matters?

Jill: Credit goes to a podcast, [LAUGHTER] actually. I was listening to a podcast I listen to religiously. It’s called the Disney Dish with Jim Hill and Len Testa. And I was driving home, I have quite a commute to and from school, and I was driving home from school and listening to the weekly podcast. And they were talking about this class at Elon University on Te aching Disney, and it involved a trip to Walt Disney World. The class was called, like, The Science of Happiness. And I’m like, That’s Elon University. I’m literally driving by Elon University on my way back home. So Elon is very close to Guilford College, where I teach. I did some research. I’m like, I got to figure out who teaches this class. I did some diving into their website, and found that the teacher of this class is a sociologist at Elon named Alexis Franzese. I reached out to her over email. We met up, and I was thinking at the time, this was early 2023 and I was prepping to teach a Disney away class later that spring. And I was like, let’s team up. We could write an article about teaching Disney, especially in difficult political times, because this was when Disney was in a very public fight with Florida Governor Ron DeSantis about the don’t say gay bill, etc. And Alexis said, well, let’s do an edited volume. And so that was sort of the birth of the edited volume piece of this.

John: So how did you select the contributors for this book?

Jill: Once we had agreed on a premise, which is like educators of Disney courses and content sharing their research with a wider audience, we wanted to be sure that we had a range of academic disciplines represented. We wanted to surprise and delight the reader, the reader of Disney fans and also students, to find how many ways that Disney speaks to academic disciplines, and how many academic disciplines can speak to Disney. So early on, I will admit to some fan girling. I’m like, okay, who’s doing the scholarship on Disney that I really love? And I reached out to them. Thankfully, they were in agreement and they wanted to participate. Alexis did some of the same. We talked to people who we’d gotten in and said, “Who else can you recommend?” So we really reached out to people, and then got people sort of through that snowball approach. We didn’t do a call for papers. We didn’t need to. We were thinking we might need to, but it was exciting how quickly professors, faculty, researchers doing this work, wanted to be involved. And I think that speaks to the energy and enthusiasm around Disney and teaching and sharing Disney. I think for almost everyone… I can’t speak for everybody… but I think there’s, like a passion piece to scholarship on Disney and sharing that with students and wider audiences. We really wanted it to be widely represented. I wish we had the hard sciences in the book. It’s one of the only areas that I feel is lacking. But, I have a list, so if you’ll allow me, this is our very impressive array of disciplines: we have curriculum studies, art history, business and marketing, data science, film history, indigenous studies, Asian studies, literature, education studies, leadership studies, history, media studies, religious studies, psychology, sociology and disability studies. We’re really happy and really proud of that array of voices.

Rebecca: So one of the things that you mentioned earlier was that Disney is a good hook to get students involved. And in your first chapter, you talk about how Disney can relate to any academic subject, [LAUGHTER] and you’ve just outlined the wide array of those that are in your book. Can you talk about some examples of how Disney can be relevant in these multiple disciplines?

Jill: There is this Disney+ show, and it is also a book that is produced by like Disney Publishing. It’s called One Day at Disney, and it looks at a huge range of careers that are available through the Disney company, like what is happening 24/7 around the globe with Disney, and I talk about that a little bit in the introduction. With that as an example, it starts to open your eyes to all the ways Disney demands investment and involvement from all these different… we could call them academic disciplines… but areas of expertise for their cast members and their employees. In the book, some examples like we have two people in our book talking about data science. So we have Len Testa, who wrote our forward, he of The Disney Dish, and Lucy D’Agostino McGowan. They talk about data science at Disney. A day in a Disney park is full of data, and what Lucy does in her chapter is to look at all this data for one ride at Epcot, Spaceship Earth, and looks at what Disney can do with that data, and also what she does in the classroom with that data and teaching her students how data analysis works, what Disney can do, this is how Disney decides where to place cast members, how Disney obtains and posts these up to minute wait times for rides and attractions, and then what guests can do with that data if they use an app that sort of is tracking wait times and busyness et cetera. Looking at data helps to understand how one plans out a day at a Disney park. That’s one chapter, another chapter that’s rooted in American history and film studies is from historian Sarah Nilsen, and she looks at Walt Disney’s biography and focuses on his love for animals, and how his love for animals got baked into what he was creating in his films, and the characters and the lives that film goers were invited to see, and she makes an argument that Walt became one of America’s first 20th century environmentalists because his passion for animals was then put into films, and later into parks, and that inspired Americans to think differently about the environment. Then one other example is my co-editor, Alexis, teamed up with one of her former students who had taken one of her Disney travel courses, which I think is awesome that that partnership even exists in the book, and they use sociology and psychology tools and frameworks to analyze what Disney expects and demands from parkgoers to enjoy their time at Disney. You don’t just show up at Disney… anybody who’s gone to a Disney park knows you don’t just show up and everything happens seamlessly. You have to do a lot of labor. And in this chapter, where they’re using psychology and sociology, they look at concepts like emotional labor, emotion work, impression management to look at how Disney recruits people, especially parents, to help create happiness, to make magic happen on Disney trips. As I think of it, all of our authors are peeling back the curtain of how Disney works and inviting them to see what Disney is doing that is not just surface fun entertainment, but there’s a lot to it, and how that works, and how we can think about it as critical educated thinkers.

John: One of the things that we’ve talked about quite a bit in the past year or so on the podcast is that there’s a lot of evidence that students feel less connected than in past decades to what they’re learning in college, that they feel that it doesn’t really connect to their own lives or their own experiences. Given Disney’s large role and very long-term role in our culture, does that help provide that sort of shared connection to students, getting them more engaged? You’ve already alluded to this a little bit, but how has this worked in terms of students making connections and becoming engaged with the course.

Jill: Definitely Disney is a common shared cultural experience. And even international students know of Disney, and that is a great foundation for students in a first-year seminar, for instance, because they’re already going to be connected in some personal way to the material. We have a shared recognition, if not a shared love of Disney, certainly not every student who takes the Disney class loves Disney. Honestly, a lot of them think this is going to be really easy, [LAUGHTER] and that’s why they take it. I’ve had them admit that to me, they’re often surprised by how deeply you can go into Disney, but they are hooked by the familiarity. I’m a big believer in Disney content, especially for early students, or discovering students, because Disney is something that they know well enough that they can feel smart about it, like a lot of my students are first generation, and Disney is not intimidating subject matter. So I like to think that students comfort with knowing some parts of Disney means that I can really push them on their critical thinking because they’re grounded, or they’re rooted in something familiar: magic, happy endings, characters, positive stories about the world, histories of America, like they’re grounded in something. Now, all of this said, I have had a couple students who take my Disney classes who complain like, this doesn’t mean anything to my life, and that’s where I really try to drive home the liberal arts-ness, like, “Okay, but this is like a training ground for your academic and intellectual muscles.” Like, when you read the introduction of Why the Magic Matters, you see a lot of my views on this creeping into that introduction where I’m like, “Okay, it’s not that you need to know how Disney works. Like, I think you should, because it’s a huge cultural artifact, but you need to know how to think deeply about these cultural artifacts.” The only other thing I’ll say as I think about the shared cultural understanding, I am going to be curious to see what happens with Disney and the shared culture in the next 5 to 10 to 20 years, because Disney is becoming prohibitively expensive… at least visits to the park are. This has been well tracked. Disney seems to aim for an income bracket of like in the top 10, top 5% and most of us are not in that. So I increasingly now see students who have never been to Disney parks, like that middle class pilgrimage idea that I know I grew up with is increasingly unreachable. So I’m going to be curious to see what that does to those of us who try to teach this content in a range of different academic settings. Some people teach Disney classes in very affluent schools with very affluent students, and then some of us don’t. I wonder what Disney’s shifting economics are going to mean for lower SES students. Yes, shared culture now, I don’t know if that’s always going to be the case, so that’s something for us to watch.

Rebecca: You mentioned earlier that Disney’s biography kind of finds its way in your book. Can you talk a little bit about how Disney argued that animation and film would be useful for educational tools, and there’s certainly evidence of this in the theme parks and other things. However, it’s a very curated approach. How does that impact our understanding of history, or the way that we might continue to perpetuate a version of history in our culture?

Jill: This is where I get really excited as a cultural historian. This is where I really like to hang out with my students, because culture, as we know ,is not just a mirror that we hold up to ourselves, and it reflects our values and our interests and our history. Culture is an actor. Culture creates and upholds and strengthens those values and histories and interests. A challenge I really have in teaching Disney classes… it’s a challenge I embrace… is to help students see that Disney is not just something they consume. It’s not just fun, simple entertainment for kids. Rather, Disney is doing consumptive work on us. Disney is commanding our attention. It is directing our attention towards certain narratives and stories while obscuring others. Disney’s upholding certain norms about gender and sexuality and body size and attractiveness and ethnohistories and race-based stories, et cetera. And of course, Disney loves to gobble up all our money while doing that. [LAUGHTER] Any college-level exploration of Disney must look critically at all of that. And this is not to say that Disney is bad. I don’t subscribe to any simple villainization of Disney, any more than I subscribe to a simple villainization of religion and religious systems as a religious study scholar. Nothing is all bad and just brainwashing. When we learn about humans and human culture and relationships, what can we learn about the appeal of Disney or the appeal of religion? There’s something there that’s worth looking at. We shouldn’t just dismiss it. I was teaching this FYS first-year seminar on Disney in 2016 when Trump’s Make America Great again slogan was becoming ubiquitous, and I remember talking to students at that time like, what does MAGA mean? What time and place does it refer to, do you think? And wasn’t hard for them to connect what they thought MAGA meant to some of the simple and sanitized and incomplete histories that Disney puts forward, that you might find walking down Disney’s Main Street USA, or in Frontierland, or in some of Disney films. Walt Disney was a patriot, no question. He loved America. He was desperate to serve in World War One, and he lied about his age in order to do so. He was fixated on Abraham Lincoln. The studio made anti-Nazi, pro-allies propaganda during World War Two. So he was really very much a patriot, and he was really concerned about telling an American story, but as scholars and as students, we get to question those stories as perhaps being more complicated than what’s been presented to us. And so the book, Why the Magic Matters, looks at this very question. So we have a couple of chapters that explore this. We have a historian named Alex Hoffman in the book. He’s out of U of Chicago. He teaches a course and his chapter, they’re both titled “Theme Park America,” and in Why the Magic Matters, he sort of takes readers on a walking tour of 1955 Disneyland, when Disneyland first opened. And he looks at some of these historical sections of the park, Main Street, Adventure Land, Frontier land, and he explains the choices Disney made in designing those lands, as Disney did. But he also looks at the American history beneath Disney’s depiction, and in so doing, he unearths racism, the Cold War, and like anti communist anxieties in the country in the 1950s the impact of settler-colonialism, and all of this as he helps us to read Disneyland in a historically authentic way, as opposed to the Disney sanitized way. A couple other chapters deal with this, but another one that springs to mind is one by Lucy Buck, who is an indigenous man. And in his chapter, which is called “Urban Indians in the House of Mouse,” he walks readers through his emotional development and his intellectual awakening as an indigenous person who grew up in Southern California, really close to Disneyland. And he talks about how his time in college, studying ethnomusicology and indigenous studies led him to see Disney’s films really differently, and more optimistically, it allowed him to try to envision a world where native creativity and culture could be represented and celebrated. iI my classes, there’s always a point where students are like, “You are ruining our childhood.” I have heard that so many times in so many forms, but thankfully, it’s a whole semester, and not just like a lecture, which would leave them kind of defeated, but they have a whole semester to gnaw on this material. And my goal is really to help them feel empowered in developing richer analyses of the world around them, because I really believe that once you can critically examine something, we can enjoy it without guilt or without fear of manipulation or without threat of loss of critical thought. I really hope that the class is an invitation to see Disney differently, but in so doing, these things in the world that we take for granted as being one way but can actually be something else, and the book tries to model that in a number of its chapters.

John: So the version of the world that Disney was creating was one that was very similar to the type of world that was presented in other forms of media in the 1950s and 60s, but it’s been moving towards a much more inclusive depiction of the world in recent years, but that’s led to quite a bit of controversy, as you mentioned, with the governor and also with our President. Was this type of culture war, perhaps inevitable for Disney to go through as we move towards a more diverse population and moving towards a white minority population?

Jill: This is such an important question. We talk about this in my classes. Here’s a mess of thoughts. I don’t think that conflict was inevitable because of changing demographics. I think Disney was always going to, of course, try to include more types of people as the American demographic shifted because, well, the money motive is obvious. It’s somewhat cynical, but it’s obvious. If Disney can create more fans and more people invested in its stories, that’s great for Disney as a company. But another thing that I like to think about is who creates Disney films and characters and rides and attractions and merchandise, like complex, interesting, rich identity, human people. Many of these creative types have a really wide range of identities. So it goes beyond this Disney’s bottom line to include consideration of the artists, the animators, the Imagineers who want to see themselves and their loved ones in Disney stories. So I think that was going to happen. Was the conflict inevitable? And perhaps I’m too naive, but I don’t think including more people in the story is going to lead to automatic resentment without certain cultural forces and political forces stoking those fires. The anger directed at Disney has to be put into a context of social media algorithms [LAUGHTER] and exploiting politicians. As soon as anyone with any sort of power and authority start to draw lines in the sand, companies like Disney are going to fall on one part of that line or the other, and whoever’s not on the side with Disney is going to be angry at Disney. They’re going to take it really personally. An obvious recent example is ABC Disney’s indefinite cancelation of Jimmy Kimmel Live, which at the time of taping, because we’re taping this, it is back on, It has been on back on for a few weeks, but Disney was in a damned if you do and damned if you don’t situation there. I’m in no way defending what Disney did, but in the minds of the public, Disney was going to infuriate huge groups of people no matter what they did. I don’t know, as a Disney scholar and professor, I’m always more interested in thinking about what the fights that Disney get embroiled in say about Disney as a cultural powerhouse, because Disney is shared American culture. Americans do believe they have some sort of stake in the ownership of Disney, even if they’re not really fans or consumers. They think that Disney is American, and thus Disney is theirs, because Disney is so intertwined with American culture and American values and American’s perception of history, if Disney does something somebody doesn’t like, many critics aren’t going to just see that as this huge corporation making a business decision. They’re going to be like, “this is an assault on my values and America’s story.” It’s going to hit emotionally, because Disney is all about emotion. It generates emotion. We do have some chapters in the book that try to look at this complicated question. So there’s one chapter called “Only Correct,” which is a play on Ian Forrester’s line, “Only Connect.” This is by Bonnie Rudner, who teaches literature up in Boston, and she’s looking at what she calls the corrections that Disney makes to its popular IP to its popular intellectual property. So specifically, she’s looking at Disney Renaissance films: Little Mermaid, Beauty and the Beast, Aladdin, Pocahontas. And she looks at first, how did Disney change it from its original form of a folk tale or a historic story to put it on the screen? But then, how is Disney changing it again, as it becomes live action or staged on Broadway? And she’s offering us a way to think about these corrections that goes beyond like a knee jerk “I don’t like the black mermaid because the mermaid should be white.” We know that that’s simplistic. What other opportunities are there for analysis that are rich but not just reactive. So we have other chapters like that. We have a chapter by a museum specialist, Bethanee Bemis, who is looking at Main Street, just an experience walking down Main Street USA as something that is deeply rooted to our senses and to embodiment. And what does that bake into us, in some ways about the American experience, even though it’s completely ahistorical like the actual Main Street USA, would probably have been filthy and a little bit scary, stinky, [LAUGHTER] what would have actually been in the street of a Main Street USA. Also, some of main streets by the turn of the 20th century were struggling economically. But what she looks at is how Disney’s creation of this main street imprints on us sensorily. And then she starts to look at some of the changes Disney has made to add more inclusion into its parks, and the implications of that, both in shifting our histories, but also inviting more people into the American story. You all are asking really good questions, and it’s things that our experts in the book are thinking about as well.

Rebecca: Giroux’s book, The Mouse that Roared: Disney and the End of Innocence, argues that Disney’s influence on the culture was dangerous. Do the authors of Why the Magic Matters share this concern.

Jill: The contributors don’t speak with one voice. There are 22 contributors in the book, but I think some of our contributors would say that there are elements of Disney that could be considered, quote, unquote, dangerous. Some of Disney’s stories, its depictions of race or ethnicity or body type, just capitalism, like all of these could be read as dangerous or potentially dangerous if misused. But we also have contributors who, I think, kind of unabashedly love Disney, and in fact, their careers have centered around celebrating the company and its history for what it can offer. Two chapters that come to mind here: we have this delightful chapter by Christopher Tremblay. Was a scholar and a teacher, and every summer, he takes students on this experiential travel course called “Walt’s pilgrimage.” He takes students basically along Walt Disney’s biography. So like Chicago, Illinois to Marceline, Missouri to Kansas City, out to California, ending at Disneyland and Forest Lawn Cemetery, where Walt is interred. They learn Walt’s life story as well as all these inevitable lessons about business and pushing through hardship, about hope in the face of adversity, and also about placed-based learning and ethnographic discovery. And so that chapter treats some of Walt’s complexity, but it’s more like, what can Walt teach us? Another chapter that’s like that is Jeff Barnes has a chapter, a class that he teaches at Disneyland. So in the chapter, he’s like walking us through Disneyland, and stops at these landmarks to talk about what students can learn, about leadership, about how to treat people in a working environment, about collaboration, all of that. So there are really a range of perspectives in the book, some that are more critical and sort of begging Disney to do and be better. And then we have some chapters that are like, Disney is what it is. It’s hugely influential. This is how it can make sense for you, and how you can sort of deploy some of its techniques. Like Disney’s been a remarkably successful company for much of its 100 years. What are they doing well, and what can we learn? So there’s a real range of voices in the book, and this is a nice moment to be doing Disney studies. I would say Disney studies, like when I was first reading it, like Disney studies in the 1990s and the early 2000s tended to be more critical and even angry. It was sort of fun to tear down Disney, and not entirely difficult to do[LAUGHTER] if you came at it from a certain perspective. But I have never found like a complete dangerous tear down as something that students respond well to. It also lacks the kind of nuanced thinking that I want students to practice directed at any subject. I think there are things about Disney that could be dangerous, like if speaking for myself, anything that is as culturally prominent as Disney must be critically examined and understood. We can’t just take it at face value, because doing so, that could become dangerous, in a way that ignorance in the face of power is always dangerous. So I wouldn’t say Disney’s dangerous. I’d say ignorance and uncritical reflection about Disney can be dangerous. So that’s one of my big motives in teaching the class.

John: Speaking of a nuanced approach, the book is organized into sections that represent dialectical pairs. Can you explain this approach and describe the sections that you’ve included in the book? I thought that was a really interesting way of organizing the structure of this.

Jill: Yeah, thanks. So the book is organized into these four sections with a pairing of terms that may seem contradictory, but in fact, like when we look deeply at Disney, we see that these ideas that seem contradictory actually go hand in hand. I describe it this way, like the book is organized around tensions, and thinking about Disney holding in tension a range of ideas, helps to negate any sort of black and white thinking about Disney, it’s not pure celebration, it’s not pure criticism. It’s about this nuance. For instance, one of these dialectical pairings in the first section is magic and strategy. I wrote the intro to that first section, and in that introduction, I lay out how magic is like one of those go to buzzwords that everybody associates with Disney nowadays, Disney equals magic, and yet, so much of what Disney does is meant to look magical and feel magical, but it is, in fact, deeply strategic. It is done by very talented artists and business people and cast members who are creating magic. Disney’s a multi-billion dollar company that knows how to press on your motions and win your brand loyalty. The chapters in that magic and strategy section look at how Disney does both things. It creates magic and operates strategically to create magic. The dialectic approaches, it’s a great one for teaching. I love to use dialectic in the theory portions of my courses, because they really push students out of black and white thinking. When I teach, for instance, African American religion, there’s this great book that explores the dialectical model of the black church, that’s Lincoln and Mamiya have developed that theory, and it’s great, because it’s like nothing is just one thing. It is a mess, a beautiful mess of contradictory things. My first book was called Womanpriest: Tradition and Transgression in the Contemporary Roman Catholic Church. So even there, I was playing with tension with these two concepts that seem contradictory, but are, in fact, essential to the thing itself. I know Alexis has experience with dialectics in a therapeutic form, because she also has a background in psychology, and I use them in some of my teaching as well. And so the humanities professor in me and the social scientist and her like, both resonated with this dialectic approach, this theory of tensions. So we have magic and strategy. We have leisure and labor. We have authenticity and simulation, and we have nostalgia and innovation. Those are our four sets of pairs, and each of those words seems like that they want to fight each other, but in Disney, they coexist and create what Disney is.

Rebecca: Who is the intended audience of your book? You’ve kind of hinted at some potential audiences. Can you talk a little bit about who your intended audience is and maybe who might also benefit from your book?

Jill: We would love the book to find wide readership among Disney fans who are interested in a more academic, dare I say, nerdy, take on Disney. And we also envision this as a book for college students taking college courses on Disney. We learned in the process of doing this book that there are a whole lot of Disney courses out there taught from a range of disciplinary perspectives. It was one of the things that got the publisher’s attention that this book, targeted at undergrads, could actually find a home in courses. xc, who I mentioned earlier, has written an academic article… it was probably like seven or eight years ago now… but he looked at all of these Disney courses that he could find, like on college websites and things, and he found 70 happening in various colleges and universities. And I know there are more. So we definitely think the book could be for college students, but I’ve been recommending the book to like friends who have teenagers who love Disney, like, “hey, if they love this, they’re going to love getting to learn about this, and they may actually find some interesting academic disciplines that they hadn’t thought about via Disney.” I think the book could be really for a wide range of people. We made sure that it was accessible, that the language was not something that would be too intimidating. This is not like just aimed at a very small number of academics. We want this to be something that people might pick up and read a chapter here and there. It should be something that is Invitational to educated readers who are curious.

John: So given all those courses out there, have you considered coming up with a second edition or an expanded edition of this?

Jill: We were told by the publisher, it depends how well this one does. So if you all like this book, buy it for your friends. It’s great for Christmas gifts. Yeah, they said there’s, I forget the number, but there’s a number of books that they like to see published before they talk about another edition. That’s what they told us. Hopefully it will go over really well, and that there will be a demand for more, because I know there are many more scholars out there doing really awesome things in the classroom around Disney, and I think the more we share that, the more we can think about Disney in fun ways, and also the more we can make a case for higher ed and education being something that really can operate in one sort of day to day life, or one’s experience of life, if Disney is just entertainment, we can think about those things richly. We’ll see John, hopefully.

Rebecca: So we always wrap up by asking, as you know, what’s next?

Jill: So research wise, I’m hoping to get back to my solo Disney book project. I sort of tabled that when Why the Magic Matters started to take off about two and a half, three years ago. So I’m hoping to get back to it. That project is called Faith, Trust, and Pixie Dust: Enchanting and Evangelizing America. That’s currently the title, and it looks at Disney alongside American religious history. I don’t want to say it’s Disney is a religion, but how the ways we can analyze Disney can intertwine with the ways we can understand religion, and in so doing, understand religion more richly and how it operates in the world, and understand Disney more richly and how it operates in the world. So I’m eager to get back to that. In addition, even though my Womanpriest book came out five years ago, now I’m still writing and talking a lot about women’s ordination and the Catholic Church. I’m, in fact, headed to Venice, Italy in a couple of weeks for a conference at the end of October where I’m going to talk about women’s ordination and different types of Catholic feminisms, like comparing North American Catholic feminisms in European. So I’m grateful that there’s still a lot for me to talk about with that. In terms of teaching. I’m not sure when I’m going to teach Disney again, maybe next fall. We’ll see how scheduling works out, but I would love to use this book in the classroom to see how that works. I am designing currently a new course for spring 2026 which is called The Holocaust and Contemporary Issues. It was Holocaust studies that got me into academia, that got me into religious studies in the first place. It was transformative to me as a 19-year old to understand the magnitude of what happened with the Holocaust and the implications of that. I’ve often taught an upper-level Holocaust course, but I’m developing a class that’s for first years or sophomore, students who haven’t a lot of experience in religious studies. And we’re going to spend about a month on Holocaust history, and then we’re going to look at what’s emerged since that’s related. So we’re going to do a unit on the Rwandan genocide. We’re going to look at some of Timothy Snyder’s work on rising authoritarianism in the 21st Century. We’re going to look at the situation in Gaza, nothing controversial at all. So basically, we’re going to ask what faith-filled resistance looks like. What does it mean to stand up against oppression and injustice in today’s world? I don’t know what will happen with that, but I’m really excited. I feel a call. I feel an obligation to dive into those hard issues. So that’s what I’m working on in the classroom.

John: Well, those are challenging issues, but very much needed, I think, in terms of education today, but it’s kind of nice also to take a break and reflect on magic and bringing some magic into lives where so much of the news that we see is much less magical right now.

Jill: I’ve had students joke that I’m the Holocaust professor and the Disney professor and like that… [LAUGHTER] I don’t know… is that a dialectic tension?

Rebecca: Is that a way to balance it all out?

Jill: Exactly. So I’m like, “Yeah, you’re right, those seem antithetical, and yet they coexist in my teaching and my research interest.”

Rebecca: Super comfortable in that gray zone, that’s for sure.

Jill: Yes.

Rebecca: Well, thank you so much for joining us, and we look forward to talking to you in the future about some of your other projects that you’re working on.

Jill: Thank you both so much. You all do so much good work with this podcast. I’m happy to be part of it.

John: Well, thanks, Jill, and I hope I’ll see you one of these days back in Durham, I’m still coming down there in the summers, or at least I have been so far.

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John: If you’ve enjoyed this podcast, please subscribe and leave a review on Apple Podcasts or your favorite podcast service. To continue the conversation, join us on our Tea for Teaching Facebook page.

Rebecca: You can find show notes, transcripts and other materials on teaforteaching.com. Music by Michael Gary Brewer.

John: Editing Assistance provided by Madison Lee.

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417. Life Skills in the Liberal Arts

Students engage when they see a connection between what they are learning and their future objectives. In this episode, Angela Bauer joins us to discuss the benefits of integrating life skills into a liberal arts curriculum. Angela is a biologist and the Provost and Executive Vice President at Texas Women’s University. Prior to this, she served in several  leadership positions at High Point University. Angela is also the author of Teaching Life Skills in the Liberal Arts and Sciences: Preparing Students for Success Beyond the Classroom which has recently been released by Taylor and Francis.

Show Notes

  • Bauer, A. C. (2025). Teaching Life Skills in the Liberal Arts and Sciences: Preparing Students for Success Beyond the Classroom. Taylor & Francis.
  • NACE Competencies
  • Rebecca Winthrop and Jenny Anderson (2025). The Disengaged Teen. Tea for Teaching podcast. Episode 374. January 1.
  • Anderson, Jenny and Rebecca Winthrop (2025). The Disengaged Teen: Helping Kids Learn Better, Feel Better, and Live Better. Penguin Random House.
  • TILT Higher Ed
  • Angela Bauer (2018). Closing the performance gap. Tea for Teaching podcast. Episode 49. October 3.
  • Mayer, J. D., & Salovey, P. (1997). What is emotional intelligence? Emotional development and emotional intelligence: Implications for educators. New York: Basic Book. PP, 3-31.
  • Access to Innovators series – High Point University
  • Ethical Reasoning in Action. James Madison University

Transcript

John: Students engage when they see a connection between what they are learning and their future objectives. In this episode, we discuss integrating life skills into a liberal arts curriculum.

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John: Thanks for joining us for Tea for Teaching, an informal discussion of innovative and effective practices in teaching and learning.

Rebecca: This podcast series is hosted by John Kane, an economist…

John: …and Rebecca Mushtare, a graphic designer…

Rebecca: …and features guests doing important research and advocacy work to make higher education more inclusive and supportive of all learners.

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Rebecca: Our guest today is Angela Bauer. Angela is a biologist and the Provost and Executive Vice President at Texas Women’s University. Prior to this, she served in several leadership positions at High Point University. Angela is also the author of Teaching Life Skills in the Liberal Arts and Sciences: Preparing Students for Success Beyond the Classroom which has recently been released by Taylor and Francis. Welcome back, Angela.

Angela: Thank you so much, Rebecca, and good to see you and John. It’s been a while, but I’m so happy to be here.

John: We’re very glad to talk to you again. We were very glad to see you have this new book that just came out. Today’s teas are:… Angela, are you drinking tea?

Angela: I am. I have a ginger turmeric tea, which I am enjoying, and in full transparency, I do also need something a little bit more high octane in the morning, so I have a cup of very strong coffee right next to my tea. But I wanted to be a team player, so I’ve got the tea. [LAUGHTER]

John: Very good.

Rebecca: I appreciate the team play, for sure. I have Scottish breakfast this morning, John.

John: And I have black raspberry green tea today.

Angela: Oh, that sounds delicious.

John: It really is, for me, at least ,Rebecca may have a different view.

Rebecca: Yeah, I’m not a big fan of the berry teas, but we have a nice eclectic mix today, so that’s good, something for everyone. We’ve invited you here today to discuss Teaching Life Skills in Liberal Arts and Sciences. Can you tell us a little bit about the origin story of the book?

Angela: I’d be really happy to. This book has been in the making for quite some time. I would say even its origins began when I was a student. I am a product of a liberal arts education, and the impact of that was really transformative on my life in terms of how it influenced me to view the world through different lenses, depending on the situation, and to just be a lifelong learner, to be curious about things in a way that that education really instilled in me, that mindset, that it instilled in me. As I went through the ranks as a faculty member, of course, I held very much to those traditions. As a biologist, I contributed courses to the traditional [LAUGHTER] science requirement within the liberal arts core. But over time, as I rose through leadership positions in higher ed, I became more aware of sometimes the disconnect between the value of what we’re providing within the classroom in a liberal arts education and how that prepares students for their professional paths. So I want to start by saying that there are so many things that happen within the context of a liberal arts education that prepare you so well for any professional setting, in terms of your ability to look at problems from multiple perspectives, to write in a way that is clear and cogent and all the good things, and to communicate your ideas in a way that is effective and that and tailored for your audience. I mean, there are so many ways in which my liberal arts education prepared me for the world in a variety of ways, regardless of what my chosen profession would be, and I saw that happening in my students. But I also, over time, saw a disconnect sometimes between what students viewed happening within their liberal arts courseworks… they really weren’t quite getting what we were accomplishing in terms of how that related to what they would need to do in their future professions. So there was that. That doesn’t mean that we weren’t doing great things to prepare them for their professions, but they were kind of missing the connection. And by the way, we found that out in great detail when I served as Senior Vice President for Academic Affairs at High Point University where we did surveys of former students, current students, when we were investigating potential revisions of our liberal arts core. We got a lot of data indicating that students thought, “Yeah, it’s great to take this sort of smorgasbord of courses, but I’m not quite getting the connection among them and how it relates to my career,” so we needed to do a better job there. Also, increasingly, over time, we were hearing from some of the business leaders, nonprofit leaders within the community, who would come to our campus to meet with us and talk with students and connect them to the community in different ways to provide internships, et cetera. We were hearing also the value of instilling in them skills that maybe weren’t necessarily intentionally addressed in their liberal arts core. And so that’s what ultimately led to all of this. There’s much more to that story, but when I did work at High Point University, even before we considered revisions of the liberal arts core, our marketing and communications team had noticed how employers, community members, prospective students, parents of prospective students, really responded to this idea of students learning life skills within their coursework. So life skills was the term that we used at High Point University for skills that prepare students for their profession and for life, regardless of what that profession is. So they’re skills that sort of transcend disciplinary boundaries and have importance in so many areas of life. That’s a very informal definition, but some refer to those types of skills in different ways. So, some would call them workforce readiness skills. Some who are very invested in the NACE competencies, they see a lot of parallels with the NACE competencies. Some call them human skills. So there are some of these skills that employers are seeking from our students that fall within the realm of, I would argue, the affective domain of learning. They’re sort of the people skills, the soft skills in terms of, how do you be a good team player? How can we prepare students to be more coachable, so that when they get into the work environment, they’re able to respond to feedback and change course or course correct, so that they’re more impactful in the work that they do? So we were having success in terms of the resonance of that messaging before it was incorporated into the core, and it kind of became what High Point University is known for. It is what High Point University is known for. They are the Life Skills University. So when it came time, as institutions do, we go back and revisit our core. Is it where we needed to be? Is it having the outcomes that we are really seeking? Is it meeting the needs of today’s students when they enter their professions? We saw the opportunity to connect to the life skills messaging, also to the liberal arts core, and so all of that work is what really got me even more invested [LAUGHTER] in the enduring value of a liberal arts education, and also some ways in which we could consider fresh approaches to it, in order to best prepare our students for lives as competent professionals and engaged citizens and all the things that we wish for them. And so kind of a long-winded answer to say, I spent a really long time thinking about what might be included in this book. Now I didn’t actually get to the purpose of the book in this conversation, and it is the following, when we had been working really hard to infuse our liberal arts core with these competencies, skills, life skills, human skills, whatever, that employers are seeking, what we found was that a lot of them fell within to a realm of teaching or pedagogy that a lot of us are not trained for within higher ed. So I’ll tick off some of the top life skills that we see cited in employer surveys. And by the way, I should mention I am now Provost at Texas Women’s University, so I’m at a different institution, and I’m meeting a lot with employers in the region to hear from them what it is that we need to be focusing on in terms of workforce readiness, to best prepare our students to enter their professions. And a lot of those skills fall within, again, the affective domain of learning, like emotional intelligence and I mentioned coachability earlier. Teamwork falls into that realm as well. You know, being a good team player, there’s a lot there that you have to be good at to be an effective team player. You have to communicate well, there are facets of emotional intelligence, obviously, that are wrapped up into being a good team player. You have to be coachable. You have to be open to respond to feedback from your teammates or maybe from your supervisor in a way that helps move the team forward to reach its collective goal. Do we do some of that in traditional liberal arts courses? Yes, we do, but do we really know how to significantly move the needle on some of those affective skills? I would argue no. And actually, a lot of the literature out there indicates that we could be doing a lot better by intentionally teaching these skills. So this book arose from what I saw is a void in our knowledge about how to best teach these skills that employers are seeking. And by the way, it doesn’t only pertain to these lesser studied skills that fall within the affective domain of learning, it also applies to skills that we in higher ed, for centuries probably, have touted as being the outcome of a liberal arts education, that being critical thinking. So when I actually dove into the literature to determine what to include in my chapter on best practices for teaching and measuring students’ development of critical thinking, I was actually kind of stunned. I mean, I knew a little bit of this before, but when I really dug in, I was kind of stunned on how we approach critical thinking in higher ed. Not everyone, I don’t mean to generalize, but often [LAUGHTER] we just think that our students pick up critical thinking as they’re writing or speaking or engaging in debate in the classroom or Socratic dialog, but actually, what we now know based on the teaching and learning literature is that the way to really move the needle on critical thinking is to be intentional in talking about it with students. Not only do you provide them with opportunities to engage in critical thinking… that does have an impact… but you can totally maximize the impact that you have if you preface all of that with a unit on talking about what is critical thinking? What does it look like? How do we take one aspect of critical thinking and apply it within different contexts? When you include a unit like that within your course and then dive into all the wonderful things in a liberal arts course that we do, challenging readings, writing papers, communicating, debating, etc, you have a much greater impact on students’ development of critical thinking than if you just assumed they were picking it up by default based on their engagement in all of those activities. Anyway, the book dives into all of that. It dives into the skills that we as academics aren’t typically trained to teach that fall within the affective domain of learning, like coachability, teamwork, etc, but it also addresses some that fall within the cognitive domain that we could probably maximize our impact if we were just a little bit more intentional about how we teach them. Critical thinking would be one of them.

John: We’ve been hearing a lot about many of the things that you found at High Point. In a past podcast interview with Jenny Anderson and Rebecca Winthrop, we talked about their book, The Disengaged Teen, and one of the things they talked about was how students in general have felt more disconnected from what they’re learning, that they don’t see the relevance of it to their lives. And that sounds very similar to the findings that you found at High Point. So this is a pretty significant shift, though, I imagine, for many faculty, how did faculty react to this shift? Was there a uniform consensus that developed very quickly, or was there a bit of resistance from people who preferred an emphasis just on the traditional liberal arts approach?

Angela: Oh, John, there was a lot of healthy debate, [LAUGHTER] but it was really, really healthy. It was so interesting to hear where everyone fell with respect to their beliefs in what a liberal arts education is all about. But meanwhile, there was this desire… we had, this branding going on of our institution at High Point University, we’re touting ourselves as a life skills university and addressing some of those skills in coursework outside of the actual core. That was really resonating with prospective students and parents and existing students, and actually on top of that, we were hearing from the employers that hired our students about how impactful those experiences were. So while there were those who are more wedded to the idea that the tradition of the liberal arts is just to instill, not just, but it is to instill lifelong learning, curiosity, the ability to view the world from different perspectives, there were definitely those who were actually very reluctant to tie it to anything related to professional outcomes. It’s not uncommon to High Point’s campus. That’s widespread. So there was that. But then there were also those who thought, “Well, why can’t we do both?” Like, “why can’t we accomplish the goals that we have for a traditional liberal arts education, while at the same time maybe structuring our classroom activities that also allow us to address some of these skills and competencies that we know are going to really help them be successful and that haven’t maybe traditionally been addressed in a liberal arts education? How can we also incorporate that? So couldn’t we do both?” And in the end, we had a lot of working groups, faculty forums, surveys, many opportunities for feedback. In the end, we actually had a faculty vote on adopting these life skills based learning outcomes. And by the way, I should mention that we had these life skills outcomes related to many that I’ve already addressed, but we maintained the traditional structure of their coursework, so they still took a course in natural sciences and quantitative reasoning and all that. But it was within those traditional liberal arts courses that we mapped these life skills based learning outcomes. So all that was said and done. But in the end, the vote was not like an on-the-fence vote. The overall faculty vote was very much in favor of adopting the life skills outcomes. So in the end, I think, generally speaking, people were really happy with it.

Rebecca: So you’ve talked a little bit about the process that was used to gain some consensus across the faculty. Can you provide some examples of what this kind of integrated learning outcome looks like that combines this traditional liberal arts approach with these life skills.

Angela: Yes, I’d be very happy to. So, when we sat down to map the life skills based learning outcomes to specific courses within the curriculum, some made a lot of sense in terms of where the best fit might be, just based on the nature of the work that happens within that discipline. So let’s use teamwork as an example. Right off the top of our heads, we thought about the courses in which students often work in teams, where there might be conflict or stress, and of course, what immediately popped to mind was natural sciences. We had a lab-based natural sciences course requirement within our liberal arts core, which I loved… what a great experience for students… but oftentimes in those courses, and especially in the way in which those courses were designed, where some of them were very much inquiry based, which is challenging for students. What a great place to teach teamwork, right? …when students are working in groups of two, three, four, to come up with a novel hypothesis to test, design an experiment, analyze data, do all the things, divvy up the responsibilities of carrying out the experiment. So what if, within that context, we are really intentional about how we structure teamwork? And talk with students about the challenges that teams experience and what makes for a functional versus a dysfunctional team, talk with them about the importance of feedback from their team members, and then taking that feedback, first of all, determining what feedback is meaningful, also, because not all feedback is meaningful, so an important part of it is figuring out, okay, what’s the most potentially impactful feedback that I’ve gotten, and then how do I course correct to make that happen? That was a natural fit to teach teamwork within the natural sciences. There are other ways… we had an ethical reasoning life skills outcome that’s, of course, very easily mapped to a philosophy or a religion course. And so that ethical reasoning outcome was mapped to those courses. I’m trying to think of some others, communication is obvious. Those [LAUGHTER] were all handled in comp courses and also a first-year seminar. So those are a few examples of how we took those life skills outcomes and embedded them in traditional courses in a way that wouldn’t take away content from those courses or the intention of those courses as a critical part of a liberal arts experience. It was just more intentionally structuring some of the activities that happened within that course in a way that made it explicit to students: Here’s one of the skills you’re gaining from this, and here’s why it’s going to be important in the workplace. Now, here’s how we can really nail this, and then laying out all the aspects of teamwork that would be important for them to know and to engage in in that course.

John: And would seem that the TILT approach that Mary-Ann Winkelmes has suggested might make this even more effective by making it explicit to students, because even though many classes were already doing those things, that information wasn’t always obvious to the students in the classes, and just making that connection explicit, I think, would be helpful.

Angela: Absolutely, and I’m going to go back to my critical thinking model, because that literature was so telling, and I ended up referencing one of the meta analyzes about critical thinking that demonstrated that in subsequent chapters, like, let’s be intentional about doing this stuff and not assume anymore that, “Well, I assigned a group project so they’re learning how to be a member of a team.” We all know that ain’t always how it works. In critical thinking, in terms of the meta analyses that have been done about different scholarship of teaching and learning studies on critical thinking, there are two different viewpoints of how to teach critical thinking: there’s the generalist view, and then the specifist view, the general views fits more within the realm of cognitive psych. The cognitive psychologists, their goal is just to talk about what it is, be very specific about what it is, give examples, practice learning it, and then transferring it into different contexts. Whereas the specifist views, which often fall within the realm of the philosophers, for example, they believe it is dependent on a deep dive into the content and context of the course in order to become a critical thinker, it’s not necessarily about intentionally teaching it. Well, we know from meta analyses of studies on critical thinking how to teach it, and how students learn in response to those different methods, we need a mix of both the generalist and the specifists views in order to move the needle the most with respect to critical thinking.

Rebecca: You talked a little bit about some of the marketing strategies upfront that maybe led to some of these conversations, or at least contributed to some of these conversations. Can you talk a bit more about how this integrated approach affected student recruitment at High Point?

Angela: When I served as Senior Vice President of Academic Affairs at High Point University, I, along with our Provost at the time, we were very engaged with recruiting events, open houses. We would do a presentation to all prospective students who might be visiting on a weekend for open house. We would do a presentation about our university mission and what life skills was all about, etc. And also talk about a liberal arts education and what that meant. By far, the predominance of questions that we would get from prospective students and their parents was, “How is this liberal arts degree going to prepare me for life beyond the classroom? …and the life skills theme really resonated with them. This is just based on my experience. And I have to say, when a lot of the institution really did experience continued success and continues to grow. And I would argue, liberal arts institutions aren’t really doing that right now. Some of them are not. Some of them are struggling with enrollment, but High Point continued to experience enrollment growth, and also continued to, during that time period, experience enhanced retention of first-year students, in particular. Like all other institutions, we were really focused on that first- to second-year transition because it’s so critical. Now, did life skills play a role in retention? So many other retention efforts happen on a campus. It’s hard to attribute it to just that, but what I can tell you is that it really helped provide shared purpose to what we were doing on our campus, kind of like a QEP. You know how accrediting bodies require campuses to engage in a quality enhancement project of some sort that everyone can get behind related to student learning? I would say it almost felt like that. We had had a prior successful QEP on our campus that focused on instilling in students a growth mindset approach to their college work, and really saw people from many different areas of university life really buying into that QEP. That’s how it worked out with the life skills initiative as well, incorporating it into the liberal arts core. It really helped create this shared purpose on our campus in terms of how everyone was contributing to those learning outcomes.

John: We should also reference our past podcast with you, which was a while ago, about how you had integrated growth mindset messaging into biology classes with some really strong results.

Angela: Yes, so when growth mindset was the QEP, Quality Enhancement proposal, at High Point University, we really worked hard to develop innovative teaching practices where students were exposed to growth mindset ideas, often in challenging courses. It was most helpful, and we actually did a whole study within our STEM courses. So there were a couple of different studies, publications that came out of that. But what we found was that when we just took time during the week, maybe 10 minutes at the start of the week and provided students with a particular growth mindset idea or strategy that they might employ and then emphasize that theme, maybe during other days of the week or at times when students experienced a really challenging exam or maybe a laboratory exercise, it improved academic outcomes. In the end, it was amazing. And yeah, so that was a wonderful QEP, and I would argue it had a really significant impact on student outcomes. You know how you have students… well, I’ll speak for myself. I’m getting old. [LAUGHTER] I’ve taught a lot of students in my day, and I love when I have students who I keep in touch with, typically through social media, but sometimes they text me or send me emails. There is one story in particular of a student. I love this story. It’s actually hard for me to talk about it without it getting emotional, because I love this student, and it is the most amazing story. She came to High Point University and really loved science, but she took her first-year introductory biology course, and man, that’s a tough one. It always is a tough one for students, and she didn’t do well, and she needed to retake it. First of all, she was just a gritty student to begin with. Some students fail, and they’ll walk away and say, “Oh, I guess I’m not a science person, and move on.” Well, she had heard some of the growth mindset messaging that I had been giving in different settings just to introduce students to the idea of what it means to have a growth mindset and how it might help them take on challenging coursework. So she’d come to my office and talk about it, and she retook the class, and actually did quite well in the class. She ended up completing a biology major. All right. Now, did she graduate with a 4.0? No, she did not. STEM courses were a challenge for her, but she had a growth mindset, and she took it on, and she continued to improve. She really wanted to get a PhD. She said that experience for her was so transformative. She loved science. She wanted to spread her passion for science. Applied to PhD programs. Didn’t get in… the GPA thing. So we talked about the importance, maybe of getting your foot in the door. Maybe get a lab tech position at an R1 institution, get to know the faculty, demonstrate your ability to engage in the scientific method. She did all that. She did, a lab tech position at one institution, went to another. Well, guess what? Oh, I love this outcome. She got into their PhD program, and I think she’s passed her qualifying exams. Occasionally, I’ll get a text with an update. “You’re not going to believe this. Look what I did,” and she’ll share where she is. But all of that started with a student who could have just walked away, and maybe would have just walked away had she not been studying growth mindset strategies and how that might impact her ability to reach this professional goal that she had set with herself. So I just think it’s so powerful, and I want to also share that growth mindset strategies are really, I would argue, a facet of a broader topic, which is emotional intelligence. So if you break down emotional intelligence into the four facets, as described by Mayer and Salovey, which I cite in my book, I structure all of the emotional intelligence teaching activities around those four facets of emotional intelligence that they have defined, that are broadly accepted within the academic community. They include emotional awareness, emotional understanding, understanding why someone might be exhibiting this particular emotion in a certain context, emotional management, that one’s obvious. But then another facet of emotional intelligence is emotional facilitation. When you have a day, we all have those days, right? [LAUGHTER]…where you’re like, “oh, I don’t want to do this,” or “this is going to be really hard,” how do you muster up the mindset and the emotions that are going to help you be successful in that day? Well, growth mindset is that right? Like, if you encounter a challenging math assignment, rather than sitting back and saying, “I’m just so not good at this, I hate this. Blah, blah, blah,” if you say, “Okay, this is going to help me grow, it’s going to be hard work. But I have to get through it,” it just totally changes one’s perspective. So anyway, we are now, at Texas Women’s University, we’re doing a study right now that broadens this approach, not just including growth mindset strategies, but also addressing these other four facets of emotional intelligence, as defined by Mayer and Salovey. And so we’re taking the same approach, little 10 minute lessons for students, and we’re doing them in STEM courses. Isn’t that great? Because STEM courses ,often, big emotions arise in STEM courses, right? They’re challenging, and there are many expectations beyond just like the didactic coursework, there’s all the lab stuff, and it is hard. So what a great ground like, what a great opportunity for us to test out some of these lessons where students are maybe struggling with some emotions in the context of the semester. So I don’t have any data to share with you [LAUGHTER] on that about its impact, because we’re still in the pilot phase of that study. But, anyway, growth mindset strategies, that was a wonderful project at High Point University, huge impact on student outcomes and just the whole mindset of the campus. And I know they have broadened their QEP now to include emotional intelligence, so that is their focus. And yeah, so stay tuned for more good data about that.

John: It sounds like that’s a very useful life skill to be including as part of that emotional intelligence component.

Angela: Absolutely

Rebecca: Sounds like a future conversation is brewing. [LAUGHTER]

Angela: I would love to, because that would mean there was a great finding to share. [LAUGHTER]

Rebecca: So, in your examples about emotional intelligence, as well as these bigger efforts around life skills, there’s a lot of culture shift that has to happen. We’ve talked a little bit about all the consensus building that takes a lot of conversation. But one other aspect of that is also the connections and interactions with the communities and employers of graduates from the institution, so that surrounding community. Can you talk a little bit about the approach to culture shifts between the institution and other in the surrounding community?

Angela: Yeah, that’s a great question. That is something in higher ed that some disciplines or programs are very accustomed to doing, bringing leaders from their profession into the classroom to inform about different things, and then others don’t so much. And what we found at High Point University… let me tell you how this started and then how it grew. High Point University has a series known as the Access to Innovators series. The President has been very wonderful about connecting with well-known business leaders, thought leaders, bringing them to campus so that they can mentor students, and so that all began as part of this Access to Innovators series. But what was interesting is that the more they came to speak and meet with students, they talked a lot about life skills, and it sort of brought it all together in terms of the importance of what they were learning on our campus, and then how that connected with professional life. So I love that example about the importance of intentional connection with the professional community. Things are shifting so rapidly in terms of where we are as a society, what things look like in the workplace. With AI evolving in the way that it is, there are certain professions now that have just changed so profoundly, and now, talking with employers from those professions where AI has had a profound impact, often a theme I hear is they are focusing on those human skills, soft skills, the life skills that are all about people, because AI can do so many things, [LAUGHTER] but one thing that it can’t do is lead a team, inspire a team. There’s a level of human-to-human communication that has to happen. There’s got to be emotional intelligence. The way that we need to stay on top of all of that is through connecting with our students’ future employers. One example from Texas Women’s University is the extent to which we have a lot of graduate programs in the health professions which we have a national reputation for excellence in this these areas, in nursing, physical therapy, occupational therapy. Nursing, in particular, what our Dean of Nursing is finding in meeting with clinicians, heads of hospitals, etc. is that AI is a thing in the workplace, and here are the ways in which we need your students to be prepared to be AI literate when they enter a clinical setting. And by the way, all of that changes all the time because of how technology is improving. Well, we wouldn’t know all that if we weren’t having these frequent interactions with the future employers of our students. They’re also currently providing clinical experiences for our students, so we’ve had those relationships also in the context of their educational process. But you get my point, that those connections are critical, and when you bring that into the classroom as well…. let’s say you have a business leader come to campus and meet with one of your classes about whatever life skill you choose, they can bring like, real-life tangible examples to tell you how this played out when I had an employee who wouldn’t respond to my feedback. Here’s how it impacted their work, and here’s how it impacted their career progression. And when you have like those tangible, real life in the moment examples that employers are providing to our students, there’s a level of engagement…. I don’t have any metric for measuring this, I’m just telling you what I see happen within the classroom. There’s maximal engagement. They love hearing those stories. So if we can do more to sort of reach beyond the ivory tower, and again, this is variable, many people are doing this already, but if we can sort of break down those barriers of communication between the academy and our students’ future professions, it’s better for everyone.

Rebecca: In addition to this culture shift involved with reaching out to the community and the potential employers of students or the employers that have traditionally employed people from your institution, you also mentioned that there’s a need for a bit of a culture shift in instructional approaches that are being used. Could you talk a little bit about how the shift has affected the way in which people are teaching?

Angela: Good question. That’s a good plug for my book, John, [LAUGHTER] because people often are finding that if they have a life skill mapped to their course, gosh, I don’t know how to teach emotional intelligence, so we’re having to retool some of the things that we do in order to learn this new facet of our teaching responsibilities within the classroom, and to do it in a way that we’re evidence based in how we go about it, like we’re learning from others experiences and maybe building on that and innovating on that. So, this is requiring that campuses provide more than just saying, “hey, teach this life skill in your course,” or “teach this workforce readiness in your course,” it means we have to provide professional development opportunities for our faculty, and sometimes that means also understanding that it might be a course retooling. They might need some time or resources to make that happen. It depends on how significant of a revision it is, but they need to feel supported in that effort, and not that it’s just like one more thing added to their plate. So there’s a lot of thought that has to happen on the part of academic leaders to make this possible in a way that gets people excited and passionate about a particular life skill and how that might play out for their students in a really positive way… also feeling supported in that endeavor, so they’re not just left with here’s all this extra work to do this, not really knowing how do I connect with people who know best how to teach this? We need to be bringing those experts to our campuses to meet with our faculty and coach them on this and also to provide space in people’s schedules to do the course retooling that might be necessary to make this happen.

Rebecca: You talked earlier a bit about how the life skill of teamwork might be incorporated into the life sciences. Can you provide another example of a different life skill and how that was built into the liberal arts curriculum?

Angela: So one outcome that High Point University had incorporated into its life skills learning outcomes for its liberal arts curriculum was ethical reasoning. So, you’ll look at employer surveys, often you’ll see one of the competencies they’re looking for, or one of the traits they’re looking for is someone that has the ability to reason ethically through a situation and determine its potential impact on certain individuals, the company as a whole, customers, etc. There are different views about how ethical reasoning should be taught within a liberal arts core. So some are very much wedded to the idea that it should be taught by philosophers who specifically had training in ethics and so forth, or perhaps in religion courses. And by the way, that’s what High Point University elected to do. So those ethical reasoning learning outcomes were mapped specifically to religion and philosophy courses that were a part of the liberal arts core. Now, other institutions take a different approach to embedding ethical reasoning into their courses, and I’m going to talk about a model that I cited in my book at James Madison University. You may have heard about their model of ethical reasoning that’s framed around eight key questions that you can ask yourself when you’re in a situation that gets you to consider all of the ethics-related facets of that situation. It’s a really great model. They’ve done some SoTL work to indicate that it has an impact on students’ ability to reason ethically through situations. So it is a very impressive method. What’s interesting about the eight key questions model, the 8KQ model, and by the way, it was philosophers who played a lead role in developing that model. They developed a model that could be implemented in any class, regardless of the disciplinary expertise of the professor. So I’m just throwing that out as another example where some institutions are embracing life skills that perhaps traditionally in the past have been very much isolated within a certain discipline, and moving it into a framework where it can be incorporated in other courses as well. Now James Madison, to my understanding, did not embed it into their core curriculum. It is a method that is simply being employed in courses within many disciplines. That was their QEP, by the way, ethical reasoning was their QEP a while ago, and that’s how the 8KQ framework was developed. So that’s another example of, specifically at James Madison University, how a life skills outcome, ethical reasoning, might be embedded into any course. You can imagine how useful that would be in courses like engineering or nursing. It would be useful in any discipline, but I’m just saying there are often courses, programs, disciplines, that are required to address ethical reasoning learning outcomes, even if it’s not a part of their core, they’re required by their accrediting body to have that embedded in their coursework somehow, and so that provides a really useful framework for folks in a variety of disciplines to incorporate ethical reasoning mastery into what they do in the classroom.

John: The approach you’re discussing in this book would probably work best if it was done across the board in an institution, some of us may be working in systems where the Gen Ed requirements are kind of dictated from above. I remember we spent several years coming up with our campus gen ed program, and then a year or so later, the SUNY system created a whole new overlay to that, which led to a lot of modifications. My point is that while the approach you’re suggesting would probably work best if it’s instituted across the board in an institution-wide manner, Gen Ed requirements don’t always change very easily, and while your book is a great resource for institutions that are going through a complete revision of their programs, might it also be a useful resource for individual faculty, departments, or programs that would like to integrate life skills more effectively in their individual courses and programs.

Angela: Yeah, that’s a really good point. John and I am a big fan of ensuring that every student gets exposure to these really impactful life skills outcomes by the time they graduate, which would mean, well, we’ve got to catch them in the courses that they all have to take, which is the core curriculum, the liberal arts core. But you are so right, if you are in a state system where your learning outcomes are dictated by… I’ll speak in Texas, we have a Texas Higher Ed Coordinating Board which sets out the competencies for our core curriculum, the learning outcomes for our core curriculum. And by the way, they emphasize a lot of workforce readiness skills, where there’s a lot of crossover with life skills. So I was excited to see that when I moved to Texas and took on this position, like teamwork, for example, or critical thinking, communication. But you know, even if you are in a different context, and that’s just not possible, aybe there’s not consensus among the faculty about wanting to incorporate these competencies into the core curriculum. This book, I think, is still incredibly useful, because it may be the case that you’re teaching a lot of STEM courses and you notice that your students may be struggling, maybe with imposter syndrome, like all the things that students often struggle with when they get into a STEM course in particular, but other challenging courses as well, you might want to think about doing some emotional intelligence lessons, because it can make students aware of those emotions and understanding where those emotions are coming from, and how they might manage them, and how they might facilitate emotions that would help them get beyond those feelings, to build up their self efficacy, their self confidence in their ability to be a scientist, in their ability to do science. So, even if you’re not at an institution where it’s possible to develop a liberal arts core that addresses these outcomes, yeah, this is useful to anyone, and not just 4-year institutions, 2-year institutions, I would argue, even high school teachers might find benefit from reading about some of the best practices that are outlined in these chapters for a particular life skill that they would really love to teach their students.

John: And what we haven’t emphasized is that you have a chapter on each of these life skills and effective ways of integrating that.

Angela: Yeah, and there are more life skills too, so maybe there will be a part two book. [LAUGHTER]

Rebecca: So many life skills. [LAUGHTER]

Angela: So funny. When I look at my original outline for the book and how many I was going to address, I think I had like 12 chapters in mind, and you’ll notice it’s significantly shorter than that, because by the time you dig into a particular topic and lay out the theory and talk about the teaching and the assessment, it takes up a lot of words.

Rebecca: So we always wrap up by asking, what’s next? Maybe you’ve already teased a couple things.

Angela: Well, yeah, we’ll see… already in talking with folks about the topics covered in this book, those who have reviewed it and maybe provided an endorsement of the book, that there are other life skills, workforce readiness skills, NACE competencies, whatever you want to call them, that haven’t been addressed in the book. So I think there’s a lot of opportunity for a part two. So that’s something that I’ve been thinking about, as time permits.

John: Thank you for joining us. It’s great to talk to you again, and this time, let’s not wait as long before our next conversation.

Angela: I would love that. Thank you so much, John and Rebecca, it was really fun to connect with you again and talk about stuff that we’re excited and passionate about. I love the work that we do in higher ed. So, yeah, it’s fun to sit back and celebrate some of the good work that’s happening.

Rebecca: Definitely. Thanks again for joining us.

Angela: Thank you.

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John: If you’ve enjoyed this podcast, please subscribe and leave a review on Apple Podcasts or your favorite podcast service. To continue the conversation, join us on our Tea for Teaching Facebook page.

Rebecca: You can find show notes, transcripts and other materials on teaforteaching.com. Music by Michael Gary Brewer.

John: Editing Assistance provided by Madison Lee.

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415. One Classroom at a Time

Students have varied levels of preparation for traditional types of classes and assessments used in colleges. In this episode, David Gooblar joins us to discuss a variety of instructional strategies that we can adopt to help all students succeed.

David is an Associate Professor of English at the University of Iowa, a regular contributor to the Chronicle of Higher Education, the creator of Pedagogy Unbound, and the author of The Missing Course: Everything They Never Taught You About College Teaching. His most recent book, One Classroom at a Time: How Better Teaching Can Make College More Equitable, was released in August 2025 by Harvard University Press.

Show Notes

  • Gooblar, D. (2025). One Classroom at a Time: How Better Teaching Can Make College More Equitable. Harvard University Press.
  • Gooblar, D. (2019). The missing course: Everything they never taught you about college teaching. Harvard University Press.
  • Cohen, G. L., Steele, C. M., & Ross, L. D. (1999). The mentor’s dilemma: Providing critical feedback across the racial divide. Personality and social psychology bulletin, 25(10), 1302-1318.
  • Yeager, D. S., Purdie-Vaughns, V., Garcia, J., Apfel, N., Brzustoski, P., Master, A., … & Cohen, G. L. (2014). Breaking the cycle of mistrust: Wise interventions to provide critical feedback across the racial divide. Journal of Experimental Psychology: General, 143(2), 804.
  • Canning, E. A., White, M., & Davis, W. B. (2024). Growth mindset messages from instructors improve academic performance among first-generation college students. CBE—Life Sciences Education, 23(2), ar14.
  • Elizabeth Canning (2021). Faculty Mindset. Tea for Teaching podcast. Episode 212. November 3.

Transcript

John: Students have varied levels of preparation for traditional types of classes and assessments used in colleges. In this episode, we explore a variety of instructional strategies that we can adopt to help all students succeed.

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John: Thanks for joining us for Tea for Teaching, an informal discussion of innovative and effective practices in teaching and learning.

Rebecca: This podcast series is hosted by John Kane, an economist…

John: …and Rebecca Mushtare, a graphic designer…

Rebecca: …and features guests doing important research and advocacy work to make higher education more inclusive and supportive of all learners.

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Rebecca: Our guest today is David Gooblar. He is an Associate Professor of English at the University of Iowa, a regular contributor to the Chronicle of Higher Education, the creator of Pedagogy Unbound, and the author of The Missing Course: Everything They Never Taught You About College Teaching. His most recent book, One Classroom at a Time: How Better Teaching Can Make College More Equitable, was released in August 2025 by Harvard University Press. Welcome back, David.

David: Thank you so much. I’m very excited to talk with you today.

John: We’re very happy to be able to talk with you again. Our teas today are:… David, are you drinking any tea?

David: I am. I’m drinking an I love lemon.

Rebecca: I have a Jasmine green today,

John: And I have a tea in my pocket, but because my meeting ran late, I am drinking diet Pepsi.

Rebecca: Oh, John. [LAUGHTER]

John: I think it’s only the second time in the podcast I haven’t been drinking tea, so

David: I won’t take it personally. [LAUGHTER]

John: I have it here. In fact, it was a tea that was given to us by one of our listeners in France, but I’ll save that for next time. [LAUGHTER]

Rebecca: So we invited you here today to discuss one classroom at a time. Can you tell us the origin story of the book?

David: Sure, back in probably 2019 I was working for the Center for Advancement of Teaching at Temple University. And as part of that job, I was doing a lot of reading of pedagogy research, and I was, of course, coming across a lot of research on ways to close achievement gaps within the college classroom. There was a lot of work being done on how to help marginalized students succeed. And it struck me as I was reading all this that I wasn’t seeing this sort of knowledge base being applied in the work of DEI offices across the country. It was a kind of high time for DEI offices. There was a lot of action, particularly starting in 2020. Universities, responding to Black Lives Matter and responding to a lot of activism, looking to reform universities, and so DEI offices were doing a lot to try to change the cultures within their institutions. What I wasn’t seeing was DEI offices doing really anything to change how professors teach. And that sort of contrast, looking at this sort of growing base of knowledge that the way that we teach can actually change student outcomes versus the part of our universities sort of devoted to remedying the inequities in student outcomes, sort of ignoring that. That was the kind of conundrum that started my research and really got me thinking about how can I close this gap, how can I communicate with the people who need to hear what they can do to help their marginalized students succeed?

John: Colleges have done a lot to recruit a more diverse student base, and we know that education can be a really effective way of escaping from poverty, but has that been as successful for the marginalized students that you’ve mentioned as it had been for earlier cohorts of students?

David: Absolutely not, no. So we still have really striking gaps, certainly the sort of more famous gaps that we know are between white students and black and brown students, where the gaps in graduation rate are essentially stagnant for the past 30 years, but similarly stubborn gaps exist between well off students and economically insecure students. If you look at students from the top family income quartile, 69% of them graduate within six years. That number for the lowest quartile is 26%. First-gen students are twice as likely to drop out within the first three years as their continuing generation peers. These are things that we know about, but there’s also a lot of research that suggests, not only are we not closing these gaps, we may be making them worse, which is kind of shocking to think about, but there are studies that look at the performance of marginalized students and control for pre-college characteristics like high school quality or pre-college academic performance, and find that they say low-income students still perform worse than you would expect and perform worse than their more well off peers. So I still think there’s lots that we can do, and it’s not for lack of trying, but it is, I think, lack of trying to influence what happens in classrooms.

Rebecca: So you talk a little bit about marginalized students entering into college, and we also know that a lot of these students have a lot of social inequities that impact them before they arrive at our institutions. The focus of your book, though, is, of course, on what happens in the classroom. Can you talk a little bit about why you decided to focus on in the classroom instead of what happens before?

David: Yeah, so part of that is that point that I just made, that I do think that there are things that a lot of colleges are doing that are actually making inequities worse, but the main reason is that in my work, I write to faculty members, I write to professors, and so my focus is really trying to be practical. What can we do? It would not make sense for me to advise professors to put their focus on housing policy or put their focus on ending racism. We know that most of the inequality that we confront in our classrooms comes from far afield of our classrooms, that our students are coming to us from really disparate backgrounds. They have all sorts of things going on in their lives, and most of the causes of the inequality that we see we can’t do anything about. And so that’s really dispiriting. So I wanted to sort of look at, well, what can we do? What are the things that we can change in how we teach that might actually change the trajectory of our students? I do think that most professors are hoping to transform their students’ lives, even if that’s a sort of modest transformation, of transforming the way they see their subject, or something more capacious, of transforming the course of their lives. I do think that we’re hoping to change our students for the better, and so thinking of, well, we can’t get to the root of these problems, but there are things that we can do. I think that really helped me sort of focus on what to write about and what to promote in the book.

Rebecca: I know it can be really frustrating to faculty to always talk at a higher level of like, what are all the underlying causes, but having something actionable [LAUGHTER] is really helpful.

David: Exactly.

John: And when we have students in our classroom, we have to deal with the students we have. We can’t go back and undo their past experiences with education and inequality and so forth. So we don’t want to ignore the students that we’re currently dealing with. And in the first chapter of your book, you call it imaginary students and imaginary classrooms. What are some of the ways in which faculty preconceptions differ from the reality they experience in classrooms, and what causes this disconnect between faculty expectations and the actual reality they’re working with

David: The broad strokes of the imaginary students problem, as I think of it, is that most of us imagine our students to be more privileged than they are. That’s the sort of broad thing. There’s lots of specifics into that, but generally, our students are worse off economically, aren’t as white as we think they are, or will be before we meet them, have all sorts of aspects of their identity that make their path through life trickier than what we imagine they’ll be. There’s lots of reasons for this. One of the sort of more, I think, persuasive things that I came across in trying to figure out why we have this kind of disconnect is the idea that within the sort of hierarchy of universities and what we think of as university quality, but maybe we should better think of it as university prestige. Almost every professor in this country teaches at an institution lower on the totem pole than where they were trained. It’s the nature of our industry that you get a PhD, and then you end up getting a job, usually somewhere with less prestige than your graduate institution. Only a small proportion of American colleges and universities offer doctorates. This is one part of it. What this means is that to the extent that professors are trained how to teach, they’re trained on a more privileged sub-population of college students than the ones they actually teach. So that’s one big issue. Another big issue is that for the most part, we don’t train professors to teach. This was, of course, the subject of my last book, The Missing Course. And so what this means, practically, is that I teach very much like my professors taught, because I learned by watching them, and they, of course, teach by the way their professors taught, but my professors taught a student body that was far more privileged than our student body. Now I think it’s easy to forget the sort of diversification of the American higher education system is actually a really recent phenomenon, as late as 1990, which…I don’t know about you, but I remember 1990… 8 out of 10 American college students were white. Right now, that’s 55% and dropping. And so the sort of our sense of what a college student is and what a college student can do is sort of based on an earlier version of who college students were. And so this comes out in all sorts of ways. One of the sort of more visible ways that we see this disconnect is in the amount of time we expect students to be able to put to our classes. And I can sort of feel every faculty member that’s listening to this nod about this. Because everyone is concerned about students not reading as much, not devoting as much time to their studies as possible. My students work 20, 30, sometimes 40 hours a week on top of being full-time students. An astonishing number of my students take seven courses a semester. Many of them have family members they take care of, many of them actually volunteer. They’re very, very busy. And when we have surveys of how students spend their time, typically, although we expect them to spend two hours outside of class for every one credit hour in class, the surveys suggest that it’s about half that that students spend, on average, about one hour outside of class doing schoolwork for every credit hour they take. Now I’m not suggesting that we lower our standards or even that we assign less work, but we’re not going to help our students succeed if we don’t acknowledge the reality that they don’t look like what we expect them to. So that’s one of the more visible ways that our students are kind of having more difficult lives, to put it bluntly, than what we may expect them to have.

Rebecca: Can you talk a little bit about or maybe provide an example of a way that a faculty member can support students that have all these tugs on their time and attention?

David: Yeah, well, a couple of things. The first thing that I always try to do is acknowledge it. I do think that we can actually achieve a lot by letting students know that we understand that we are one important thing among many in their lives, and if we don’t treat them like our thing is the most important thing, and they have nothing else weighing on their time, we can sort of get to a better level of communication with them, where I can make the case to them that doing work for my class is going to be valuable to them. So that’s the sort of the case, or the psychological approach you can take. The other thing that I think is, like the easiest thing to do, it’s not that easy, is really focus on taking advantage of class time. Like, I don’t know what many of my students do outside of the classroom. That is their lives. That is their time. And they may have quite different and unequal circumstances affecting the amount of time and attention they can give to the work that I want them to do. I do know that they have to come to class, and so this isn’t me saying get rid of homework, but I’m much more aware of using class time to have students do the work that I want them to do. I no longer think it’s a responsible thing to just lecture at students and give them information. I want to take advantage of them being together, of being in a social environment where they can do work with my guidance and with the feedback of myself and their peers. So that’s one thing that I really think about when thinking about the inequalities of time and attention that we see.

John: Marginalized students often experience some degree of imposter syndrome or stereotype threat. What are some strategies we can do to break that down to create a better sense of belonging for all of our students?

David: Sure, this is one of the most well established psychological barriers that anyone that faces in academic domains, stereotype threat, the sort of concern that you may be the target of a negative stereotype, consumes part of the brain and takes away cognitive resources from the important intellectual work we hope students will do. So, one of the sort of most effective broad strategies we can put into place to combat stereotype threat is inviting students to share a broader part of their lives in our classes. One of the things that we know is that students who suffer from or who are targets of stereotypes around academic performances, those stereotypes can be mitigated if students feel that they’re not just their academic selves in the class. If students are reminded that they are not just students, but sisters and brothers and children of parents, that they are friends, that they are soccer players, that they are interested in crocheting, whatever it is, they’ll have a broader base of self integrity, of self confidence to fend off stereotypes. It’s not that they’re going to stop understanding that they might be stereotyped. It’s going to have less power because they’re not just going to see themselves as students within their classes. And a lot of how students see themselves within our classes is based on how they think we see them. So if they believe that we as professors see them as more than just their academic performance, they’ll be more likely to have that broad base to work from. So part of that is conveying an understanding that students have a lot going on in their lives, but also there’s lots of little things you can do to invite students to share parts of their lives in class. I do this thing that I know a lot of professors do, that I call question roll, where to start the class. I always ask students a question, and everyone has to answer it. And for me, this question almost always has nothing to do with what we’re going to talk about in class, and it is a no stakes, no wrong answers. Type of question I’ll ask, what’s the first thing you wanted to be when you grew up as a kid? What’s the best thing to eat for lunch in Iowa City? What’s the best fruit? There’s a lot of food related ones, but it’s a way to ease students into class, get them talking before there’s any stakes, but also, in a kind of subtle way, it allows them to share who they are, without them even sort of realizing that that’s what they’re doing. And what I’ll find is that I start every class with this, and that if I ever forget to do it, my students are completely up in arms and like they cannot imagine starting class without doing question roll if I didn’t ask my question. So they really get into it, even though at the beginning of the semester, they’ll think it’s silly and they’ll resist answering questions. It kind of lays down that precedent that in this class, yes, we’re going to do hard work. Yes, we’re going to try to understand difficult concepts, but we’re all people coming from various places and that we’re going to have a more successful time if we don’t deny those parts of ourselves. So I really sort of believe in this sort of broad strategy of trying to invite students in, invite more parts of students. That, to me, is the kind of subtle thing, or a broad thing that can show itself in lots of different ways throughout a semester, but I do think that if we can think about part of our job as inviting students to share parts of their selves that may not be obvious to them as relevant to their academic selves, that we can really help to mitigate stereotype threat for them.

Rebecca: One of the things that we’ve talked about on many episodes of Tea for Teaching is growth mindset, and that’s something that I know you cover in your book as well. Can you discuss some strategies that help nurture a growth mindset in our students?

David: Sure, one of the more interesting things I learned in doing the work for this book, I of course, had read a lot about growth mindset, and I’m a parent, so I understand all the research into the encouragement of a growth mindset in individuals, but one of the things that I saw is that a lot of the big studies that look at the effects of promoting a growth mindset in the students, the results aren’t as good when the environment students are in work against the growth mindset. So when their peers have a fixed mindset, and/or when there’s a school culture that has a fixed mindset, any promotion of a growth mindset within an individual is kind of blunted, which makes a lot of sense to me. And so what I hope to do in the chapter I have on growth mindset is move away from the idea of growth mindset as sort of teaching students that their brain is a muscle. I think there’s a kind of limitation to sort of telling students to have a growth mindset, and we should focus more on the signals we send to students about the environment of our classrooms. That much more important is looking closely at the way that we do things in our courses and asking ourselves, “Is this focused on student growth, or is this focused on sorting out the better students from the worst students?” So I think about how we talk to students in our syllabi, how we literally talk to students in classes. Are we focused on persuading them that we’re working for them, that the course is designed to help them grow, rather than persuading them the course is going to root out the people who don’t have it, or look to your left, look to your right, one of you won’t be here, or even sort of the purposes of assessment. If we can explain to students that assessment is really important for teachers to understand how students are doing so that we can help them better. Students generally assume, and a lot of professors talk about it like this, that assessment is to sort out whether they know it or not, to give them a grade. And of course, that’s part of what we do, but to me, that takes a back seat to the formative aspect of assessment. The main purpose of assessment, for me, is to see how students are doing, because I want to help them get better. So those kind of more sort of environmental aspects of a class, I think, make a bigger difference in promoting growth mindset than talking about it directly and promoting it to students a sort of individual version of that, one of the sort of strategies that I think goes along with this idea of a growth mindset culture, is something called wise feedback. Came from research by Jeffrey Cohen and his colleagues that looks at particularly how we give feedback to students on their work. They looked at student writing, but I think it can be for any kind of student work. And essentially, wise feedback has three aspects, where you start by invoking high standards. You sort of say, I’m giving you this feedback because I have very high standards for you, either because of this class is really difficult and hard and I’m trying to bring you to a high level, or because I believe that you’re capable of meeting these things, following that invocation of high standards always has to be encouragement. So I’m giving this feedback because I have very high standards, and I know that you can get there, that you can work on it, and then you sort of fill out that encouragement, or you prove that encouragement by giving specific guidance as to what students can do. So most of us, I worry, have been sort of taught by experience and trained to give feedback to justify our grade. I think of particularly the early career instructors I work with, who are very concerned with, for good reason, being challenged about grades, and so their feedback they give to students on paper, essentially, is, here’s why I’m giving you the B minus. Instead, if we think about this kind of growth mindset approach to feedback, here’s where I think you can get, here’s why I believe you can do it, here’s how you can get there. I think that’s a much more effective way to get feedback, where you’re actually teaching through your feedback.

John: You just noted that one of the issues is that it’s not just something you can do in your class with students or encourage them to have a growth mindset if that’s not what they’re observing, and one of the studies you cite is a study done by Elizabeth Canning and colleagues, who looked at the impact of faculty mindset on student learning outcomes. Could you talk a little bit about that study?

David: An amazing study they looked at science professors at a big midwest University, and I think they surveyed all these faculty members about their mindsets, not their students mindsets, but the faculty members mindsets. And they found that the faculty members with a fixed mindset had much larger achievement gaps in their classes than the faculty mindsets with a growth mindset. This was independent of faculty identity, by the way. So this was even the case for faculty with marginalized identities themselves. So it seems that, at least as I interpret it, that our students are taking cues from us a lot of the time about what’s expected of them and what the course is about. And so if we have a growth mindset, if we come at the world with a sort of theory of mind that people can improve, that people can get better with practice. Our students will notice that, and they’ll take what we tell them in a constructive way, in a way that they’ll actually work at something. If they suspect from the way we talk, from the way we carry ourselves, from the way we structure our courses, that we actually have a fixed mindset, that we believe that generally talent is doled out somewhere, and either you have it or you don’t, they’ll get the message that when they struggle early on in a semester, that there’s essentially not much they can do. And so I do think it really matters how we talk about our subjects, classes, how we talk about our disciplines, how we talk about what student work is for. There’s been really interesting research done on the concept of brilliance, and certain disciplines value brilliance in their fields. Philosophy is one that comes to mind a lot, that if you survey faculty members about what it takes to succeed in this field, philosophy and some other fields, for sure, rank being brilliant really high. You need to really be smart to do well in this class. Well, research has shown that those disciplines that value brilliance most highly have the biggest gaps between privileged students and marginalized students in their fields; they have the fewest black PhDs, for example, the fewest women PhDs. And so how we think about what it takes to succeed in our field really matters to students, and whether we tell them it explicitly or not, it comes across to them.

Rebecca: So we’ve talked about a few different challenges related to inequity that our students face, and your book explores many others. Can you talk about a few more examples of strategies that can be used to promote more equity and student success?

David: One of the sort of best supported strategies for what certainly used to be called inclusive teaching, I don’t know if people still use that phrase, is structure. There were a couple of really huge, really sort of ironclad surveys about the inclusion of structure into large lecture classes, and how that helped to narrow gaps that were really, really stubborn, and nobody seems to know what structure is, so I’ll explain it a little bit. Structure in the context of educational research is really just having students do stuff. It’s the opposite of a lecture, where all students have to do is sit and listen to a lecture. Structure is where you make students answer questions before the lecture, where you put them in groups and talk about the concept, where you do a survey in class and have students respond to it, where you have students do writing in class. It’s structuring class time so that students have things to do for their learning. And so we know that that is really effective, particularly for marginalized students. One of the reasons why this helps is because privileged students need less from us than marginalized students. One thing that privileged students have that marginalized students don’t have is a positive experience with school. They like school much more than marginalized students do. They’ve had a good experience. They know how to be good students… I’m speaking very broadly, of course… but on the whole, and they have more resources to help them with that. And so a class period where all students have to do is sit and take notes and do the work themselves, is going to favor those students who are good at being students, and it’s going to disadvantage those students who have had a less positive experience with school, who have fewer resources to help them out, with less time to do the work. So the more that we can structure class time is what I was talking about, taking advantage of class time, the more that we can help those students. I’ve also sort of been convinced that the best kind of structure is transparent and predictable. Transparency really helps students for lots of reasons. I think part of it is that growth mindset piece, that if we explain to students why we’re doing what we’re doing, we will most likely persuade them that what we’re doing is to help them learn, which we can’t take for granted that they believe. And the predictability piece, I think, is really interesting. There’s been really, I think, provocative and powerful research done on the value of taking high-stakes exams, and instead of giving, say, two or three exams over the course of semester, dividing up the points you’d give to that and giving students weekly exams, weekly quizzes, and where you ask about the same material, you just do it more often. This strategy seems to really help economically insecure students, and there’s some sort of disagreement as to why this helps, but one of the reasons why I think it helps is that economically insecure students are used to and good at focusing on pressing concerns. We know a lot about how economically insecure students struggle with long-term planning. What they’re good at is short-term planning. Living in near poverty means that you have to focus on pressing needs, because it’s a life of instability and scarcity. And so if the task is study for this quiz on Thursday rather than study for an exam next month, we’re going to help those students who have fewer resources to do that kind of long-term planning, the long term thinking that is involved in preparing for a midterm or an exam in a month or two. So thinking of our structure as, yes, having students do stuff, but wherever possible, make it transparent, so that students always know why we’re asking them to do the work we’re asking them to do, and if possible, predictable, so students can sort of count on our classes as being a reliable source of support and help in a world that is less than reliable for them.

John: So one of the things your book addresses that’s often ignored in many books about effective teaching is a focus on student disability. Can you talk a little bit about this chapter and some recommendations on what institutions and what faculty can do to help create a more supportive environment for students with disabilities?

David: It’s one of my favorite parts of the book, partly because I learned a lot, and so we know that disabled students struggle in our institutions, that they graduate at a much lower rate than their able bodied peers, and that the numbers we do have about their success are probably under selling the problem, because something close to a half to 1/3 of students with disabilities actually report their disability to their institution. So we know that plenty of students, even plenty of students who get institutional support in high school, aren’t telling their institutions in college, and so aren’t getting the support they need, and aren’t getting recorded in these studies. What I did in the course of my research was I kind of looked at the history of disabled students in the academy, and I found, probably unsurprisingly, that the Academy had to be sort of dragged kicking and screaming to care of and educate disabled students. It was only by force of law in the 1970s that American institutions of higher education began admitting disabled students in large numbers and admitting them into mainstream classrooms. But going over that history, which was of course, also the history of the creation of Student Disability Services offices and the accommodation system really made me think of how we take for granted this system that we really shouldn’t accept as being the way things should be. Essentially American colleges and universities were told that there was this new population of students with different needs coming into the academy, and that they had a mandate to give them as good an education as everybody else, and that was an opportunity to tell professors in particular, look, you’re going to get a lot of new students with different needs. Maybe you should change the way you teach. Maybe you should change the way that you approach your students, because your students are going to have some different needs. We didn’t do that. We didn’t do that at all. We didn’t touch the center of our institutions at all, in terms of what I think of as the center of our institutions, our classrooms. Instead, we created an office on the margins of our institutions, and a system that too often allows professors to change very little about how they teach. In fact, seems designed to allow you and I to change very little about how we teach, and even if we look at the language that universities use around accommodations, it very much is about students have a right to an accommodation, but only if it doesn’t interrupt the educational standards, are very often the way they’re phrased, and I just don’t understand what educational standards could be if they’re not helping all of our students learn. And so this idea that we can help certain students, but only if it doesn’t interfere with some vague sense of standard that is unconnected with helping our students that I just don’t understand. And so I really want faculty members to sort of rethink how they approach a class before they meet their students. We very often think of our disabled students as an exception, as something that comes after the fact. We meet our students, we tell them the syllabus, we tell them the way it’s going to be, and then you start to meet some disabled students who say, by the way, I have an accommodation request, and you make an exception for them. So I’m very much drawn to, of course, Universal Design for Learning, which is, of course, a long time, broad approach to teaching, it comes from many disability activists, that seeks to, before we meet our students, design our classes so they’ll work for everybody. This is an ideal. It’s not easy to do, but it’s the right approach, rather than pretending that all of our students are able bodied and then being surprised every time that we get X number of disabled students asking for a change. So I go into a lot more detail in the book, but that’s one of the reasons why I love writing despite how much I hate writing, is that sometimes you can learn something. Is that actually doing this research really opened my eyes to kind of what we take for granted about the place of disabled students on campus and how the system seems set up to cast them as exceptions. In my opinion, that underlies a lot of their struggles to succeed.

Rebecca: It’ll be interesting to see how the updated regulations to Title II of the ADA, which addresses public institutions, helps move this work along, because it does require this proactive approach around access, especially around digital technology.

David: Yeah, I don’t have high hopes, but I do have hopes.

Rebecca: So we focus a lot on in-person classes. Can you talk a little bit about the relationship of the contents of your book to online classes.

David: The reason why I mostly address in-person classes is because that’s most of my experience. I am skeptical of a lot of online education. I know that there’s a lot of people who’ve done really great work, and there’s a sense in which sometimes that online educators have had to focus on some of these issues before people in person have had to, particularly around generating good community, where you sort of have to work harder. I do hope that all the principles that I advance will work in sort of any classroom. I just think that we do faculty and students a disservice if we pretend that online education isn’t harder. I think it’s harder. I do think that we are doing people work, care work, and that good teaching has to do with forming relationships with our students and helping them as human beings. I used to have this joke when I worked for a teaching center when people would come in for advice about their teaching. I’d say half jokingly, all right, I want you to imagine that this is your student, and you’re their teacher, and you’re trying to help them. I do think that sometimes we sort of get away from the idea that these are people that we have relationships with, they’re professional relationships, they’re educational relationships, they’re relationships. I think that that relationship is harder to see in an online environment, at least it is for me, and so it takes more work to nurture and make work. It certainly can work, but it’s harder.

Rebecca: Challenging, both for the students and for the faculty. [LAUGHTER] It goes both ways.

John: We always end with the question: what’s next?

David: Well, what’s next for me is, I’ve just been recently made Director of Programming at Iowa called Gen Ed. Lit is what we call ti, general education literature. It’s a class offered by the English department that every undergrad at Iowa, except for English majors, has to take. So about 3000 students every year take it, 150 sections, something like 60 or 70 instructors. Most of them are graduate instructors, and my role is I oversee this course, and I’m a supervisor of all of these instructors. So I took the position because I’m really passionate about training new instructors and helping people learn how to teach better. And so for me, it’s an opportunity to put a lot of the ideas that I’ve been thinking about and writing about for years into practice with people who are actually on the front lines, which is a terrible metaphor, but I’ll use it anyway. But teaching our undergrads, and in particular in this course, teaching students who, for the most part, haven’t chosen to be in the class, which is, as you know, one of the more challenging teaching challenges that we face. And so I’m really excited about helping new instructors find their feet and helping figure out, particularly at this time, where everyone is worried about AI, helping to figure out how to teach literary reading skills to a generation that I think could really benefit from developing them.

John: And a generation that spends much less time reading than prior generations. So it’s a nice challenge to be addressing and working on it, and I hope it’s successful, and maybe, if so, you can share that more broadly so we can all improve this.

Rebecca: Yeah, definitely sounds like a challenge that might keep you busy for a little bit anyway. [LAUGHTER] Well, thanks again for joining us and sharing your work.

David: Well, it’s been my pleasure. Thank you so much for the work that you do and for talking with me today.

John: Thank you. We’re looking forward to future conversations with you.

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John: If you’ve enjoyed this podcast, please subscribe and leave a review on iTunes or your favorite podcast service. To continue the conversation, join us on our Tea for Teaching Facebook page.

Rebecca: You can find show notes, transcripts and other materials on teaforteaching.com. Music by Michael Gary Brewer.

John: Editing assistance provided by Madison Lee.

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393. Culturally Responsive Teaching

Faculty often struggle to reduce equity gaps and to foster a sense of belonging and inclusion in their classes. In this episode, Courtney Plotts joins us to discuss course design strategies to increase transparency and to allow students to express and share their own cultural identities as part of an inclusive class community.

Show Notes

  • Council for At-Risk Student Education and Professional Standards
  • Neuroculture
  • Plotts, Courtney (2023). Learning and Online Diversity, Equality, and Inclusion Officers: A Handbook for an Emerging Profession. DBC Publishing.
  • Plotts, Courtney (2022). Cultural Intentions: An Evidenced-based Framework for Applications of Cultural Responsiveness in Education. DBC Publishing.
  • Plotts, Courtney (2020). The Space Between: Identifying Cultural Canyons in Online Spaces and the use of LatinX Culture to Bridge the Divide. DBC Publishing.
  • Plotts, Courtney (2020). The Space Between: Identifying Cultural Canyons in Online Spaces and the Use of Black Cultural Attributes to Bridge the Divide. Independently published.

 

Transcript

John: Faculty often struggle to reduce equity gaps and to foster a sense of belonging and inclusion in their classes. In this episode, we explore course design strategies to increase transparency and to allow students to express and share their own cultural identities as part of an inclusive class community.

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John: Thanks for joining us for Tea for Teaching, an informal discussion of innovative and effective practices in teaching and learning.

Rebecca: This podcast series is hosted by John Kane, an economist…

John: …and Rebecca Mushtare, a graphic designer…

Rebecca: …and features guests doing important research and advocacy work to make higher education more inclusive and supportive of all learners.

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Rebecca: Our guest today is Courtney Plotts. Courtney is a psychologist who is currently working as a consultant on culturally responsive teaching and community building. She has worked as a K12 public school teacher, as a faculty member in higher ed, and as the National Chair of the Council for At-Risk Student Education and Professional Standards. Courtney is the founder of Neuroculture, and is the author of 4 books that address strategies to bridge cultural divides. She also regularly serves as a keynote speaker on issues related to culturally responsive teaching. Welcome Courtney.

Courtney: Hi. Thanks for having me, so happy to be here.

John: Thanks for joining us. Our teas today are:… Courtney, are you drinking tea?

Courtney: I am. Here’s my mug. I know people won’t be able to see it, but it just says a bunch of thank yous. And I am a green tea drinker. It’s almost done now, but I’m a green tea drinker. How about you all?

Rebecca: Today I have London Strand, John.

John: Another newish one for you.

Rebecca: Yeah, I got that one when I was traveling last year.

John: And I have a green tea. I have ginger peach green tea today.

Courtney: Yeah, now, do you all put stuff in your tea? Are you like sugar, honey? Are you just a naturalist or what type of tea drinker?

Rebecca: Absolutely nothing. You can’t put anything in it.

Courtney: Yes, me too. Me too. Okay.

John: Generally, I am too, although sometimes I put honey in it, but not recently.

Courtney: Awesome.

Rebecca: I don’t think we’ve ever had that conversation before.

Courtney: It’s a very important conversation. That’s a very important conversation to have, because always hear people say, “How do you drink it without anything in it?” I’m like, “just like this.”

John: And our British colleagues generally put cream in their tea. And we have discussed it actually before, when we had some people from the Saratoga area…

Rebecca: Oh, that’s right.

John: …who were talking about Saratoga Tea and Honey, which we do have several varieties of honey from there that we keep in the conference room that we use.

Rebecca: Alright, so we invited you here today to discuss cultural responsive teaching in the current political and social environment. To set the stage for this discussion, can you define culturally responsive teaching?

Courtney: Sure. I think what most people know it as a pretty general premise of these kind of buzz words of openness and intentionality and thoughtfulness and those type of words. But for me, I’m a school psychologist by trade, so for me, how I look at culturally responsive teaching is measuring acculturative stress levels among a student population and then tailoring the teaching to those methods, and that’s how I look at a little bit more scientific. I think that’s one of the challenges historically, is that when you say culturally responsive teaching, it’s so broad sometimes that it’s hard to kind of wrap your mind around what that means for you in your classroom.

John: In higher ed, our student bodies in the last decade or two have become substantially more diverse, but faculty diversity hasn’t quite kept up with this, and one of the reasons for this is that college completion rates are substantially lower for first-gen students and students from historically minoritized populations, limiting the diversity of student bodies in graduate programs. What role can culturally responsive teaching play in reducing the equity gaps that we observe in higher education given this difference in the diversity of faculty and the diversity of student bodies.

Courtney: Yeah, I appreciate that question. I think that, historically, there’s always been this argument about culturally responsive teaching, where it’s content versus delivery. So people will say something like, “well, we need to have more diverse authors, and we need to have more diverse… just kind of more representation.” Where I look at it is the delivery. Is your delivery diverse enough to meet the needs of the people in front of you? And we know historically, our learning structure is very Eurocentric. It’s transactional. It’s completion based. It’s not really relation based the scaffolding is an end to a mean, not a means to an end. So to kind of shift it, it’s really looking at is the teaching that you’re doing reflective of the people in front of you? And that’s the question. And it comes down to the relationship of cognition and culture. And it’s something that’s not looked at a lot very often. It’s always funny when people push back on that, because they’ll say, one has nothing to do with the other. And I’ll say something like, “Well, then why don’t you just start speaking another language right now?” Because if you haven’t been exposed to that, and that’s not part of your culture, then you’re not going to speak another language, and you’d have to teach yourself how to do that. So it impacts the learning environment. I think that’s a shift in discussion that we need to start having, because there are some bodies of knowledge that require certain things. So if you’re a nursing student, you’re going to have to pass that state exam. Those things cannot necessarily be changed. There’s going to be a certain amount of things that have to happen in order for you to get a nursing license. But how that information is delivered to be able to reach that goal is a different conversation. I think just equipping faculty with that information and then the actual teaching skills. What teaching skill is best for what population? When I say population, I don’t mean necessarily racial populations. It could be military to civilian. It could be rural to urban. Maybe you’ve only taught in rural New York and I drop you in Las Vegas. That’s a different population, because the culture of that area is different. So just kind of thinking outside the box that way.

Rebecca: Much of your work focuses on building community and relationships, as you’re just talking about in classrooms. What are some strategies that faculty can use to create stronger and more inclusive communities in higher education?

Courtney: Yeah, I’m about prevention methods. No one needs to be putting out more fires, so any fires that we can prevent are helpful. I think one of the biggest things is thinking about the culture that you make around broader statements. So a lot of times, faculty try to be helpful in the culture of their classroom, and they’ll say something like, “Here’s a syllabus, but I’m willing to be flexible.” But what flexible means to me as an instructor could mean something very different to John and very different to you. So having that discussion up front, “Hey, I’m going to be flexible, but take two, three minutes, talk about that as a group. How do you view flexibility from me?” Because you only have one group that is a fairly general consensus where it’s like, “Hey, a couple days after the due date, I’m okay with that,” but we all know, when we’ve been teaching for a long time, as we all have, that we can say that, but then we have the student who’s eight weeks in and thinks flexibility is starting over from week one in week 8, when it’s a 16-week course. So having those conversations, I think, and really building out the understanding of the academic community that you’re trying to build is critical. Number two is really thinking about the kind of altruistic behaviors that you want to manifest in your classroom. So whether that’s someone being supportive of another student, whether that’s someone showing up in a caretaking role. When you look at how you build community, and you read a lot about it, it’s very again, transactional, where there are all these behaviors that are happening behind the scenes, and we need to bring those behaviors to the forefront. So there are people caring for one another, there are people supporting one another, there are people advocating for one another. All of us have had the one student, and it usually happens once a semester. They’re the student who will ask all the questions on behalf of the class. So they’re more of like an inquirer. They’re seeking this information, and they’re not afraid to ask the questions, right? And they’re doing that on behalf of 26, sometimes 100 and something, other people, because there’s some Facebook group we know nothing about. So really bringing those pieces to the forefront and helping that behavior not necessarily have to be a separate space, and it’s fine that it is, if that’s working for everybody, but as an instructor, we would like to see that stuff in our own spaces. We should be able to see, “Wow, they’re helping, and they’re advocating, and they’re doing these things.” Additionally, I think that looking at a grading component or non-grading component, depending on how you view that, is really kind of assessing your community. Are your students showing things like civility? Are they supporting other minimized voices, no matter what that voice is, whether it’s someone talking about mental health and it’s a business class, or someone’s talking about autism and it’s a language arts class or any of those things, is really looking at those pieces, because there’s certain things that we do want to see from our students, and particularly in face to face, that kind of happens naturally, because people make their groups and they kind of make their friends or their acquaintances or their besties or whatever they do, and in online is a lot more difficult that way. So it’s like, what are we doing to help support those other relationships? And kind of have that same thing happen, just in an online space, in any medium, whether it’s video chat, however they’re communicating.

John: Going back a little bit to the earlier discussion of the cultural background of faculty and the students in our class. Faculty often ignore that, and we’re bringing, though, our own cultural background into the classrooms. And when instructors design activities, they often do it based on their own experiences, without taking into account the students in the physical or virtual room. What is lost when faculty don’t take students’ cultural backgrounds into account in designing learning experiences?

Courtney: Yeah, I think there’s a whole other cognitive piece that we’re missing in the learning. I think that’s a big piece of it. I think that when people naturally show resistance, usually other people show resistance too. So people can sense again, it’s not necessarily about cultural specific, it could be anything, like, “Hey, can I use your stapler?” But you’re kind of looking at me like you don’t want me to use your stapler, right? [LAUGHTER] So I can tell that like that’s not necessarily the goings on here. So the more that we can help faculty identify these things, I think the learning becomes better. And I’m saying this because I’ve heard this from faculty. If I do keynotes or people talk to me about their concern about culturally responsive teaching, they’ll say something like, “Well, I don’t want to get it wrong,” or “I don’t want people to think that I am stereotyping them.” And that’s the challenge, because of the way we did it. The way we did it, puts a lot of onus on people to get it right, get it right every time, and when you make a mistake, it’s a high penalty, and that’s because we’ve been looking at kind of those outside factors, instead of the intellectual piece of it, which is if we were to measure and get some numbers across the board at an institution and get a score about the levels of acculturated stress, then we can start determining the best teaching practices for that body of students, and we can do a college as a whole, or we can scale it to an individual. But overall, I think what’s lost is that there’s a whole other just swath of knowledge and connection with the content that’s lost. And I heard and I can’t remember… I wish I could remember who said it, and lots of people have said it… but I can’t remember the original person who said it, but someone was talking about the slave trade, and they said enslaved people came empty-handed, not empty headed. And I think that just the cultural piece alone of that, it’s like, “Well, just because I’m here and I’m a freshman, doesn’t mean I don’t know things.” And just as humans, it’s not even the teacher student, it’s we’re all individuals. And I’ve had experiences that can make your life richer. You’ve had experiences that can make my life richer. You’ve had experiences I will never understand, and I’ve had experiences that you can never understand. But we can both try. We can both try. And I think that that’s what gets lost in, that it’s like, if I can’t, not me personally, but anyone, can’t kind of get a handle on the olive branch, then how do we move forward? How do we build relationships? How do I feel that I can get to where you are if I don’t even feel like you care that I’m here, as just basic hospitality. [LAUGHTER] So I think those are some of the interesting components of that.

Rebecca: One of the things that you pointed to, or it seems like you’re pointing to, is this idea of transparency, or making things really explicit to students, especially around the syllabus, or some culture around how the classroom might work. Can you talk a little bit more about that?

Courtney: Yeah, I think since before COVID and now, uncertainty has just kind of been at a steady, all-time high, and everyone is exhausted from guessing, because what COVID did and what the current political climate has done for the last, I would say, 10 years, but definitely the last five, definitely now, is everyone’s guessing, and guessing is exhausting. I compare it to like living with an alcoholic. It’s like, today you’re gonna come home and this person is the best parent in the world, the next day you’re angry because there’s peanut butter on the counter, the next day you’re raging because there’s socks on the floor, the next day you act like nothing happened. That cognitively is exhausting. So we keep doing the same thing and expecting a different result from students, and I think that’s part of the culture, is the culture of transparency. And I say this with all due respect, it’s just a cultural phenomenon, and I don’t know why this resonates with me so much. It’s just like me, personally, I don’t know that’ll resonate with all the listeners, but I’m 46 and so the people that I am teaching have grown up with a culture where people celebrate on television that they’re not your father. You see what I’m saying, like in TV shows, there are people that literally celebrate not being related to you, where in education, we do the total opposite. We’re trying to build relationships, we’re trying to nurture, we’re trying to develop. And so anything that is not clear, that’s so clear, where, literally, I’ve had students tell me, like, ”Oh, I still don’t know who my dad is,” or “I don’t know who my mom is,” or “I’m raised by what they would call, like a pseudo family,” or something, like nothing is clear, the things that most people are clear on, like, our students have had these really kind of obtuse experiences. And so sometimes you just have to spell this stuff out. And I think that’s just a basic relationship builder is transparency, and that’s just a cultural shift. And I just couldn’t imagine, in my own life, watching television and seeing a parent of mine on television and someone celebrating that they don’t have to deal with me. And it’s like, that’s a cultural thing. And I’m not saying it’s happened to every single student. I’m saying that’s what’s in the ethos of television. It’s a phenomenon. And so when you’re talking about transparency, it’s not that that person’s being transparent, that they’re happy that that person’s being transparent. My point is that it’s just there’s so much fake. The things that you think should be foundational just aren’t. And so again, just going back to that piece is like when we were in school, you just show up, shut up, do the work, and leave. If you’re lucky, you’ll get to work with a professor. It’s not like that anymore. So we have to work harder as instructors to build relationships, and we have to start with foundational things that build relationships, and transparency is one of those. And that’s just how I look at it.

John: So, what are some effective ways of building those relationships with students, in addition to transparency?

Courtney: Yeah, I think just like anything else, like listening to people and really just doing the things that make things clear, as clear as we can make them, I think it comes with, on the academic side, just making sure that what we say we stick to. And again, that’s part of that flexibility piece. These are things that I might change throughout the course. These are things that could change. List them out. I think that really taking the time, and this isn’t my own original idea, lots of people say this, really taking the time to get to know your students. And we have to be honest about the name thing, too. It’s a lot, especially as we get older, to memorize people’s names. It takes a lot of work. And it’s like, some people are going to be able to do that, and some people aren’t. Some of our faculty start to get dementia in their 50s. So it’s like, we have to be honest about like, it’s like, this pressure, like, “Okay, you have 250 students, and you have to know all their names. I’m going to try my best.” Again, for some people that have their mnemonic devices, they know the students. They know the names but it’s like, I trust people, and people know when you’re trying, and I’m gonna try and keep trying, and I’m gonna keep trying to get it right, but it’s like, we set up this thing where it’s like, everybody has to get everything right all the time. That’s just not humanly possible, but the effort 100% of the time is. And so I think that that’s, again, part of that transparency piece is just really saying to yourself, like, “Am I giving my best today?” And being honest with your students when you said, “You know what? I don’t know that I have it to give today. So we might have to do a flipped classroom.” Right? Or we might have to change something in this dynamic, because that’s the relationship piece. That’s the relationship piece. So maybe you were planning to lecture today, but now they’re going to work in groups, or maybe you’re planning to work on groups, but you know what? There’s really some information that you learned at a conference, and you really want to share it with your students. And I really just think it’s the consistency piece. And I think that helps faculty too, because so many faculty that I’ve talked to over the years, it’s like they give and give and give and give and give and they’re burned out too. There’s so many people writing about faculty burnout. Well, part of that is because we never teach faculty in orientation healthy boundaries. Do you even know your own boundaries with students? Because there are some things that I can and will do that would never work for either of you, and vice versa. But it’s like, “Oh, no, I have to be like John,” or have to… you know? It’s just like, “No.” It’s like, “Hey, John, that’s great. I’m gonna try that. That works for me,” or, “Hey, you know what? That wouldn’t work for me,” like we have different personalities. So it’s like really understanding our boundaries as faculty helps students, because we can be our authentic selves when we do that. And I think that that’s just something that’s overlooked, especially for new faculty that are coming on board, because I think they have a tendency to serve and serve and serve and serve and serve, and they’re on all the things that now you’re talking to students at 12:30 at night, and when you have so many students, you have a huge class size, that’s impossible, and we’re setting ourselves up for failure. So we need healthy faculty so we can build healthier students.

Rebecca: Sometimes in in-person classes, it feels easier maybe to build relationships, because you might have that casual time before or after class to get to know students, or you’re walking around class, and can kind of get to know students during that time. And we all know from maybe COVID and being online that you have to be much more intentional in online environments to build relationships, because those happenstance opportunities [LAUGHTER] don’t happen. Can you talk about some of the ways we can be intentional about the clarity piece and about building those relationships in these online, specifically asynchronous, environments?

Courtney: Sure, sure. So I think asynchronous, I think everyone has kind of a different understanding of what asynchronous means, because there’s lots of asynchronous courses where people still offer a video time, like time to video chat or send a video message. So we say, “Oh, it’s totally async,” but you usually end up meeting with a student in video. It usually ends up, at some point, for some reason, there’s usually some meeting. And so I think the question is, “What can you do beforehand?” And this is, again, just my opinion. I think we’re doing enough profiling of the students who are choosing async on the personality side to know how to develop some of those things, right? I think that people are choosing async, and some of them are choosing it because they’re like, “Now I’m going to use ChatGPT, I’m going to cut and paste. We’re going to be done here. I don’t really need the relationship. I’m just going to move on point A to point B. Boom, boom, boom.” And then I think that there’s some students who really thrive in that environment, but it’s more of a one-on-one or small group setting. And then I think there are people who are async, who just need what they need, and can fully move in those spaces and feel very connected. And I think we need more research on the personality pieces that go behind that to know how to develop that. I think right now we’re kind of at a disadvantage, because the scales are starting to tip where we’re just now starting to get faculty that have almost, and I say almost, gone through their whole education in a virtual space. We’re just starting to get some of those virtual high schoolers that are now faculty members. So we don’t know enough about what’s on that profiling side for that. But I would say it’s just the offer in the async of something if it’s needed. I think that’s the thing. I think, really showing pieces of community, really showing, and when I say expectations, having any type of surveys that you can get, any type of data from your students, so you can tweak as you go along. I found when I teach asynchronous courses, that’s the most helpful for me is I’ll send out some surveys just to kind of see what people want. And I built this class, but these people might need something different. So I changed this assignment, and that assignment, I changed that up, and I say, “Hey, I changed it based on your feedback. Here we go.” Because there’s no way to know. There’s no way to know. And it’s getting to the point, as you all know, and as the listeners know that, especially in higher ed, education is getting more tailored, and that’s just going to continue as AI continues to evolve, as our students needs continue to become more clear and specific, and they’re expecting a lot. They’re expecting a lot. So it just comes down to how we see ourselves and how we see all of that developing.

John: There’s a lot of research that inclusive teaching techniques, active learning, and many other things, benefit all students, but especially benefit students who have been historically marginalized. Yet we’re now in a political environment which is not very favorable to education in general, but is especially attacking DEI\initiatives. What are some strategies that faculty and institutions can use in this environment to provide educational experiences that allow all students to be successful?

Courtney: Yeah, I love that, John, that’s a great question. So I think the challenge right now, and I’m sure it’s happening at your college, everywhere I know it’s happening at the college that I’m at right now, is that everybody’s trying to figure out what to do next, and a lot of it is just people are reviewing policy. People are reviewing language of courses and just thinking through like, “Okay, how does this tie to funding?” And this, that, and the other. So that’s a big piece of it, but what I’ve always advocated for, for students, before the new political climate, just in general, is looking at what barriers can we take from faculty to make the job easier and the learning more meaningful for students, because if it’s not those two things, it’s really not beneficial. And so, for instance, one of the biggest pushbacks that I hear about culturally responsive teaching is, and it happens in almost every training, we’re going along, we’re doing the things, we’re learning, we’re growing, and then someone raises their hand say, “Hey, this is great, but I have 250 students, especially if you’re talking about race and ethnicity. How would I know what ethnicity they are? How would I know?” And that’s because we set it up all wrong. So, for instance, think of a case study. Most people who are in higher ed know what a case study is. So there’s a case study. So we write something and we say something like, Zach is a 32-year-old living in Michigan. He’s married to his husband. They do this, they go here, and this is the outcome. What’s happening. And the truth is that demographic information, unless you’re specifically teaching for that person for a reason, means nothing. So take it out and let your students fill it in, because that is the diversity. They will choose who goes in the case study. So anything that’s demographic, you just leave blank and you hand it to them and you say, “Okay, I’m going to put you in groups. We’re going to do some case studies. This is the information you need to fill in: name, ethnicity, age, marital status, orientation, however detailed or not detailed you want to get.” And then you talk about the case study, because that’s what’s going to pivot the content. Because if the end result is about something like law, because you’re trying to teach students a specific statute or something, how it’s going to be interpreted through the lens of that demographic information is going to look different in each group. So not only is it going to look different, but that other piece is going to look different as well, maybe how the statute is applied, or new questions are going to be raised. And you know what? For the students who don’t need that piece of diversity and say, “That’s not for me. I’m fine. Whatever. I don’t care who it is.” That’s fine. But for the students who need it, not only do they have control of it, it’s not something we’re doing, they have control of it, and they’re going to share out. And nobody knows. So it helps with the attention, because nobody knows who it is. But if we all say it’s Jack, he’s 33, he lives wherever, he’s married to his husband, like, by the time we’re the second group in, what else do we have to talk about? It’s Jack. It’s the same guy. It was the same guy in second grade. It’s the same guy in sixth grade, it’s the same guy in 10th grade, it’s the same guy in 12th grade, same guy in undergrad, same guy in grad. So it’s like, that’s how we do it, instead of choosing one case study, and especially if we’re not from that ethnic group. I happen to be biracial. My dad’s black, my mom’s white. But if I was choosing something like, “Oh, I’m going to do a case study, and the person’s going to be Filipino, and this is going to be their experience. I don’t know that that’s their experience. I don’t know that.” But if my student fills that in, they’re the ones, and this goes back to that other question you were asking John about like, what’s missing when we don’t kind of think these things through. It’s what is that other piece? The student is going to give us that information. I’m going to learn something as an instructor. My students are going to learn something. They might even have questions. It’s a whole different thing. So really thinking about things like that, I think it’s just an easy and powerful way to kind of really change a classroom dynamic when you’re talking about type of work.

Rebecca: A lot of times we use the word easy to imply something that maybe isn’t exactly as easy as we say it is. But in this case, it’s less work for the instructor, right? [LAUGHTER] And you’re giving agency to the students.

Courtney: Absolutely, and 250 of them at once, if that’s the assignment and it goes out that week, there’s 250 students. And what I do, just to support the listener, what I do is I actually give a list, because sometimes when our students… I shouldn’t say students… people, in general, when you’re exhausted, it’s hard to be creative. [LAUGHTER] I mean, it’s like “Oooh, if I haven’t slept in a couple days, my depression is kicking up, like I feel like being so creative. it really doesn’t work like that. So, what I do is I give them a list of possibilities, and they can use that list or not. So I give different names, different ethnicities, different ages, kids’ names, and just to try to help the conversation. And sometimes they pick those, and sometimes they don’t. They’re like,” Oh no. So and so is from Nigeria. And we picked this name because we didn’t know, and this is now the capital, we didn’t know that either, and we didn’t know that this was happening. And there they do it like this, but that would never fly in America.” Or “they do it in America like this, but it would never fly in Nigeria.” It’s like, you’re not going to get that with what we’re doing. So yeah, anything that’s easier, that’s my thing. This path of least resistance, and the faculty aren’t wrong, because it’s like, how would you, even with a 16-week time frame, how would you possibly begin to be able to address each student’s need in that way? It’s impossible. Even with a TA, even with a million dollars, you can’t do it. There’s no time. And it’s like, we have to look at ways where, again, we’re embedding it in the actual learning process, instead of something that’s topical.

Rebecca: One of the things that you mentioned earlier was the use of AI, a little bit from both sides. You gave the example of students maybe using AI in online environments to get away with something, but you also pointed to maybe some potential of AI. Can you talk a bit about whether or not AI has a role in making a more culturally inclusive environment in our classrooms. Are those tools that we can use as faculty to help with that end?

Courtney: Yeah, I think it depends on who’s using it and how it’s being used. I think accessibility wise, if we can help our students all have access to it, that’s good, but I think what faculty aren’t prepared for is really the anticipated rejection of AI. So for instance, I’m just using my own personal example. I’ve gone to job interviews where I’ve been the only person sitting in the room, and I’m waiting to go somewhere, and someone will come out, and they’re calling my name and they’re looking right past me, but I’m the only person that’s there. I anticipate that, because a lot of people, when they hear me, they don’t necessarily think that I sound the way I should look, or for whatever reason. The mistakes that AI can make can have an impact and a fallout. So the question is, let’s say you’re using AI in the classroom, and you’re asking your students to develop an image, and I don’t care what, you pick any variable. Maybe your student is dyslexic, maybe it’s a visual component. Maybe it’s just making some assumptions that are stereotypical of AI. Students aren’t anticipating rejection in that arena because they created spaces where they’re accepted. So when you’re in a classroom, you’re like, “Hey, do this,” and there’s 20 something people, and everyone else likes their image, but my image is very derogatory towards me, what’s the policy about how are we rectifying? Are we letting students know, “Listen, we’re fully aware that we’re asking you to use this, but we have an alternative assignment” because we can’t guarantee that you’re going to have the same experience as the person to your left.” No matter what it is, like, I’m left-handed, so everyone in the pictures is right-handed. It could be anything, but it’s like, we don’t think of that fallout, because using Word is not going to do that, but you asking someone to take their own image and making an avatar of themselves could absolutely do that. And again, when you’re talking about things like racism, prejudice, and stereotyping, some of that stuff is expected in certain places, like people are prepared for it. It doesn’t make it right. It just means it’s true. But with AI, the question I have for faculty is, are you prepared for that? Do you have the relationship enough where that student doesn’t take that personally, that it’s coming from you? You are the one who asked them to use this. There was no caveat about this was going to happen. And what do we do when the student has done that image five or six times, now they’re on the 10th or 11th time, and it’s getting worse every time, it’s not getting better. So I think it’s that anticipated rejection we really have to think through as far as policy, as far as what we’re actually asking students to do. Student choice with AI, I think, is huge. I think that we have to know the technology enough to offer choices that provide safety in what we’re asking them to do. I think that’s critical.

John: Are there some ways that instructors can use AI to help create a more culturally inclusive environment in their classes?

Courtney: Yeah, I think so. Definitely with students with learning disabilities or learning differences or exceptionalities, I know that a lot of students have diagnosed or undiagnosed processing disorders, so really trying to pull content together. They know what they want to say, but they have trouble pulling it together. And again, I think that all comes with clarity. I’m teaching right now. I teach full time. And one of the things that I talked with about my students is really talking about, really what the intellectual capital is. Because 15 years ago, if you used the tech, that’s what made you different. But because the tech is getting so good, it’s really going to come back to, and I know people don’t like when I say this, it’s really going to come back to the reading, the skimming and actually knowing the content. And I just had that discussion with my students last week. I said, look, “It’s not the AI use that bothers me, it’s, do you even know if it’s right or wrong when you’re looking at it?” And in some cases, not all, for sure, but if you haven’t read the text, if you haven’t read the research, there’s no way you’re going to know that. There’s absolutely no way you’re going to be able to recognize, “Oh, that’s an error, that is not correct,” because you’re trusting the tech. And once you trust the tech, it controls you. So it’s like, my thing is, well, yeah, some of that might be right, but what are the processes worth teaching students to check those pieces? And that’s my concern, is that there’s already a gap in reading, and so if that gap stays, who controls that intellectual capital? How are we teaching students to value intellectual capital that’s not generated, that’s it’s actually what you know, what you can produce. And even if you’re using generative AI, do you have enough intellectual capital to sit through to get it right? And that’s where I’m trying to help my students is like, you don’t need to love reading and read everything, but you got to have a plan for fact checking. And I think that’s just fundamental. The technology is not going away, and we also need to be comfortable with it enough where we’re going to stop creating assignments that can just use AI to complete the assignment. So for instance, a lot of people, and again, I’m not against it… I teach school psych, We have to write reports all the time… you can write a report with generative AI, and it could be a book report, a psych report, any type of report. But again, do you know? What is your plan? And we created writing assignments, the students turn it in, now, what? Okay, did they learn anything? So we have to flip that where we’re using the AI so much that the next task that we give them, they can’t use it, because now it’s time to actually use your brain, it’s time to think. So, and getting to the point where we’re getting away from brainstorming, and we’re going to have to go to fact storming, because the AI can help brainstorm and brainstorm all day. But how do we get to the fact storming where we’re checking what we’re actually looking at?

Rebecca: So we always wrap up by asking, what’s next?

Courtney: Yeah, I think it comes down to just thinking through AI. I think it comes through thinking through policy. I think it comes through thinking about the protection of students with how are we handling anticipated rejection (or unanticipated) and I think it really calls us as higher ed to really think about how we’re designing courses and assignments that use the student as the proxy for learning, not the tech, like the tech should not be the student’s proxy for learning. It should be the student is learning in conjunction with the use of technology, no matter what it is, whether it’s AI or anything. And I think it’s going to take a lot of work. It’s going to take a lot of thoughtfulness, a lot of discussions for the faculty listening. Everybody’s got a lot on the plate. Everybody’s burnt out. This isn’t a one-person show. This isn’t one person overhauling their whole class to do all the things. It takes time. And no matter where you are on the continuum of AI, if it’s not AI, it’s going to be something else, like, wherever you are is okay. I think sometimes there’s pressure to feel like, “Oh, well, everyone’s doing this, so I have to, like, run over here.” But if it’s not going to work for you, it’s not going to work. So until you’re ready for that, it’s not going to work. So be okay where you are, manage what you can, make some new friends, read some new articles, do something, and you’ll get there. But it doesn’t have to be today. And I think just because tech moves fast, there’s kind of an expectation that people move fast, and people usually don’t move fast, definitely not as fast as tech. And you know that if you work in higher ed, so there you go.

John: Well, thank you for joining us.

Courtney: I appreciate you. Thanks again for having me.

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John: If you’ve enjoyed this podcast, please subscribe and leave a review on iTunes or your favorite podcast service. To continue the conversation, join us on our Tea for Teaching Facebook page.

Rebecca: You can find show notes, transcripts and other materials on teaforteaching.com. Music by Michael Gary Brewer.

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387. Picturing Plattsburgh

Primary sources can often feel irrelevant and difficult to navigate for students. In this episode, Jessamyn Neuhaus joins us to discuss how student-created photographs can provide a personalized learning experience and foster a deeper connection to history and the university archives. 

Jessamyn is the Director of the Center for Teaching and Learning Excellence and Professor in the School of Education at Syracuse University. Prior to this, she served as Director of the SUNY Plattsburgh Center for Teaching Excellence and was also a Professor in the History Department at SUNY Plattsburgh. Jessamyn is the author of Geeky Pedagogy: a Guide for Intellectuals, Introverts, and Nerds Who Want to be Effective Teachers and the editor of Picture a Professor: Interrupting Biases about Faculty and Increasing Student Learning. See is also the editor of Teaching History: A Journal of Methods. Jessamyn also regularly serves as keynote speaker and workshop facilitator.

Show Notes

  • Neuhaus, J. (2019). Geeky pedagogy: A guide for intellectuals, introverts, and nerds who want to be effective teachers. Morgantown: West Virginia University Press.
  • Neuhaus, J. (2022). Picture a professor: Interrupting biases about faculty and increasing student learning. West Virginia University Press.
  • Picturing Plattsburgh Project
  • Horii, Cassandra Volpe, and Martin Springborg. (2022). What Teaching Looks Like: Higher Education Through Photographs. Elon University Center for Engaged Learning.
  • Cassandra Volpe Hori and Martin Springborg (2022). What Teaching Looks Like. Tea forTeaching podcast. Episode 262. November 8.
  • Neuhaus, Jessamyn (2025). Snafu Edu: Teaching and Learning When Things Go Wrong in the College Classroom. The University of Oklahoma Press..
  • Teaching, Engaging, and Thriving in Higher Ed Series, The University of Oklahoma Press.
  • Laurel Willingham-McLain and Jacques Safari Mwayaona (2025). Students as Partners. Tea for Teaching Podcast. Episode 376. January 16. (the podcast that Jessamyn referred to with her colleagues at Syracuse University)

Transcript

John: Primary sources can often feel irrelevant and difficult to navigate for students. In this episode, we look at how using photographs provides a personalized learning experience and fosters a deeper connection to history and the university archives.

[MUSIC]

John: Thanks for joining us for Tea for Teaching, an informal discussion of innovative and effective practices in teaching and learning.

Rebecca: This podcast series is hosted by John Kane, an economist…

John: …and Rebecca Mushtare, a graphic designer…

Rebecca: …and features guests doing important research and advocacy work to make higher education more inclusive and supportive of all learners.

[MUSIC]

John: Our guest today is Jessamyn Neuhaus. Jessamyn is the Director of the Center for Teaching and Learning Excellence and Professor in the School of Education at Syracuse University. Prior to this, she served as Director of the SUNY Plattsburgh Center for Teaching Excellence and was also a Professor in the History Department at SUNY Plattsburgh. Jessamyn is the author of Geeky Pedagogy: a Guide for Intellectuals, Introverts, and Nerds Who Want to be Effective Teachers and the editor of Picture a Professor: Interrupting Biases about Faculty and Increasing Student Learning. See is also the editor of Teaching History: A Journal of Methods. Jessamyn also regularly serves as keynote speaker and workshop facilitator. Welcome back, Jessamyn. It’s great to see you again..

Jessamyn: Thank you. It’s great to be here.

Rebecca: Today’s teas are:… Jessamyn, are you drinking any tea?

Jessamyn: I’m not drinking tea, but I am drinking some water out of my mug that, written on the side, it tells me you’re doing great, so I’m drinking positivity. [LAUGHTER]

Rebecca: Love it.

John: We could all use more positivity.

Rebecca: How about you, John?

John: Based on your recommendation quite a while ago, I am drinking Brodie’s Scottish afternoon tea today.

Rebecca: Oh, I’m so jealous. You know why I am jealous, John, because I have a cup of it sitting on my desk [LAUGHTER] because I accidentally grabbed my bottle of water instead. Oops. [LAUGHTER]

Jessamyn: Whoops.

John: So what are you drinking, Rebecca?

Rebecca: I’m drinking this bottle of water [LAUGHTER] that I brought because I forgot my tea on my desk.

John: We do have some teas here. [LAUGHTER]

Rebecca: So, I’ll have to have some later. I have failed as a host. [LAUGHTER] I’m sorry.

John: It’s your turn. [LAUGHTER]

John: So, we’ve invited you here to talk about the Picturing Plattsburgh project that you conducted in your history course at SUNY Plattsburgh during the spring 2024 semester. We saw you had posted about this on LinkedIn, I believe it was. Can you tell us a little bit about this project?

Jessamyn: Sure, this was for the intro history class, the U.S. history survey at Plattsburgh. It’s 1877 to the present, and for people who teach these history survey classes, there’s a lot of challenges in trying to cover a huge amount of just sort of content and material, helping to try to make it relevant to students, and also just things like materials, like textbooks and preconceptions that students bring in about what studying history means, most of them incorrect. So those were all kinds of challenges that were in my mind. I also was fortunate that semester it was going to be a small group, which was not usually the case for surveys. So I started thinking about what could I do in the way of assessing student learning while also encouraging relevance and meaning for the content? And I was interested, and very interested in the unessay projects and helping students demonstrate their learning and skills in a variety of ways. So all those factors led me to think about what kind of final project we could work on, what sort of research project. I came up with the Picturing Plattsburgh first thinking about when I was writing the little blurb for the catalog, thinking about how in any kind of textbook or any kind of lecture or any kind of material where students are looking up information about the past, they always look at the photographs first. Or really, everybody does that, not just students. People do that. They’re interesting. So they look at the photos first. And I had also started thinking about, what does it mean to teach history in our current historical moment when accessing even facts about the past can pose a real challenge, again, for students, but for everybody. And AI had just started to really make its way into higher education discourse, and I was thinking about, well, what about photographs that are generated by AI? How can I help students develop some of the skills they’re going to need out in the world to access reliable photographic evidence of events that have happened. So that was all my sort of background thinking that led me to the project.

Rebecca: You started talking a little bit about why you chose photos as a focus. Can you talk about how you use it as a primary source material in this class.

Jessamyn: Sure, I really wanted to give these students the opportunity to do the thing really that so many historians love, which is examine primary sources, look at the leftovers from the past and try to make sense and meaning out of the past. Photographs are not necessarily simple primary sources. There’s a lot of complexity to them, but it’s the kind of complexity that we in 2025 might be more equipped to grapple with: whe complexities of analyzing a snapshot moment in time visually requires different critical thinking skills than combing through a 19th-century document. And so I thought photographs would be a way to help students do this without overwhelming them with the kind of abilities that you would have to bring to try to understand… they say the past is a foreign country… like trying to navigate the foreign country of the past. I also thought there could be a real opportunity here for students to look at photographs of where they were right this minute, SUNY Plattsburgh. I had thought about ways to help students feel more connected to the university, that they belong there, and that the resources in the library where the Center for Teaching Excellence, where I was working, where it was situated, these resources, they are there for the students. The students’ tuition helps pay for them. And I wanted them to know and understand that the Special Collections in our Feinberg library are there for you to use. The resources are there for you to mine. So I decided I wanted to have students first go to the special collections. We would arrange ahead of time a visit to the special collections. The Special Collections librarian, an archivist, would collect photographs from the many, many collections of SUNY Plattsburgh life, things that had happened on campus, events, student life, speakers, meetings, things that had happened there on the campus. Debra Kimok was the librarian. She would prepare those ahead of time. I’d bring the students, and I gave them a sheet with some questions, and then they got to choose and look through some of these photographs. There were some of some early sporting events, really there were photographs covering the whole history of SUNY Plattsburgh. We spent a few classes there, and then their assignment was to take some photographs of SUNY Plattsburgh right now, their experience of SUNY Plattsburgh, trying to help them see the continuity and the differences between their own day-to-day experiences and what they had seen looking at photographs in the past. We decided together, as a class, that everybody did three photos, and we decided as a class which ones to select for permanent digital exhibit about their perspectives and experiences as students in 2024 at SUNY Plattsburgh.

Rebecca: That sounds really fun, Jessamyn.

Jessamyn: It was very, very fun. [LAUGHTER]

Rebecca: I did a project in our Special Collections using photographs too. And it was a really great experience for students, because most of them had never been to Special Collections before. I remember them getting excited about seeing like, “Oh, this is what snow looked like at this time,” versus like the fact that we had, in that year, no snow, barely at all. It was really fun to see them light up and understand the space that they were in a really different way.

Jessamyn: That’s absolutely right. I would say one of the things that it did really successfully was de-mystify what special collections are, what their function is. We went a couple times, and the first time we went, the students were pretty tentative. They came in slowly. They were really hesitant, but the second visit, they walked right in, they started looking through the photos. They asked the librarian for some more here and there. So it seemed to really empower them to do something that we in a U.S. History class would be uniquely qualified to help them, do not just U.S. history, but anybody interested in accessing these materials and really help them feel like they belonged there in the space doing that kind of work.

John: One of the things you mentioned in the write up of this is just how memorable historic photos are. I was thinking when I read that back to when I was studying history sometime in the last century and remembering things like the newspaper that Truman held up saying Dewey wins or similar, types of things. That lasts much longer than specific recollection of a lot of the content of the text that we read at the time. What makes these photos so memorable to students or to any of us?

Jessamyn: Well, I’m not an expert in the kind of visual knowledge and visual study of the past via images. That’s not necessarily my expertise and focus. I come at it from a little bit of a different angle. My sense was less trying to understand why certain photos become so etched in our memory. When I started, I thought that would be one of the things I was going to be looking at and having students discuss. But it quickly became more obvious to me that I wanted them to really explore the idea of the importance of documenting ordinary life, ordinary day-to-day life, and the way that photographs provide insight into that, that many other sources cannot. So I absolutely agree there’s ways that photographs capture major events, historical turning points, but they also, for those of us who really want to try to understand, what was it like to be alive at a certain time, looking at photographs is one way that we can try to get our heads around what was it like to walk down the street? What were people wearing? What was it like to walk into a house? And for the students, I really wanted them to think about what was it like to go to a basketball game at different points in time. What would have been like to live in a dorm and to translate that then into what they were doing, what they were able to do, because now everybody has a camera with them all the time, [LAUGHTER] and I’m old enough to remember that was not always the case, but now it is. So having them rethink some of the implications or possibilities of their own day-to-day life and the way it could be recorded in a photograph.

John: And I mentioned that photo of Truman, but I was also thinking of photos from the Great Depression, food lines, and people in poverty. It creates a much deeper sense of connection than just reading about it, I think.

Jessamyn: I think historical empathy is definitely a skill we would love for undergraduate students to be able to develop. And yes, definitely photos are one way to do that. It also had a lot of power, I thought, because as we were doing this project, we were also in the open source textbook that we were using, we also were focusing our discussions around the photographs and students. I found when we went to Special Collections, when we looked at the photos in the textbook, they were looking for photos that resonated for them in some way with their own experiences, their own identities or backgrounds, experiences, families, interests. So yes, historical empathy, anything to help them feel more connected to the material we were looking at and using.

Rebecca: Definitely sounds like a really empowering project, both as kind of creators, investigators, etc.

Jessamyn: Yeah, I think it was. I’ll add that it was interesting in the Special Collections and in what the students chose to take photographs of that the classroom did not appear very often, and it was interesting how something that really has a disproportionate impact on what students do and how they feel [LAUGHTER] and if they’re successful at the college and university, that there are so few photographs taken of it, really at any point in time.

John: Maybe that’s because they were so busy [LAUGHTER] focusing on their educational activities in the classroom…

Jessamyn: …maybe so…

John: …that they didn’t want to distract themselves with photographs. That would be nice to think.[LAUGHTER]

Jessamyn: Yeah, well, there were issues. We had to be cautious. We did not want any photograph of anyone who did not want their photograph to appear in a possible online exhibit. So that was another reason. Students wouldn’t just be snapping photos of their work in their classes, but they did include some photographs of like group projects outside of class, work they did outside of class, meeting up with people in the computer lab, and stuff like that.

Rebecca: So can you talk a little bit about what some of the learning outcomes for the project were? You’ve hinted at some of them. [LAUGHTER]

Jessamyn: Yeah, sure. So the class had standard learning outcomes for our general education requirements, and I connected work we were doing to those as well, but in addition, I had four learning outcomes specific to that section and our work together: use photographs, so by the end of our class, you will be able to use photographs as primary sources to increase your own understanding of life and events in the United States from 1877 to today; identify what information you need about a photograph and its historical context when you are using photos as primary sources; explain how photographs as primary sources document diverse American Identities, including how some groups experienced bias and discrimination, and work to create change from 1877 to today; and then finally, apply what you’ve learned about photographs as primary sources to document life on campus at SUNY Plattsburgh, particularly the diverse identities of our students, faculty, and staff.

John: So, could you talk about some of the projects that students did and how they realized those learning objectives?

Jessamyn: Well, the reading and reflection they did on each section in the textbook, they were choosing photographs from those sections and reflecting on them to make progress and student learning outcomes, one, two, and three. So they had a reflection journal. They talked and reflected on how the photographs documented diverse experiences, what they needed to know about the source of a photograph… in this open access textbook, you could trace it back to where did the editor access this photograph. How do we know that it is what it says it is? And also looking at the way photographs from the American past document a wide range and diversity of experiences and including people working to enact a social change. The final one was the one that they took photographs, discussed why they would be a good addition to our online exhibit. So we had a shared Google slides that everybody put at least three photographs that they had taken, and then we talked about them as a class and chose which ones we wanted to include for the final exhibit.

Rebecca: So how did students respond to this project?

Jessamyn: So I did a poster on this project for the American Historical Association annual meeting. And in addition to looking at their assignments, I did a post-project survey, and they were aware I might use their answers in this poster. There was some strong success. And then there was a couple things that it did not work as well as I wanted it to work. [LAUGHTER] So I’ll start with that one. The way that the project didn’t succeed as much as I wanted it to was the historical aspect of it. I asked students if, after the project, were they going to be more aware of how historians use photos to understand the past, and it was 10 students who completed the survey, and only three of them said it definitely would do that. However, there were some things and what I think is worth thinking across disciplines, and the takeaways for people in all kinds of classes doing all kinds of projects. The thing that they really responded most positively to was it was their term. I didn’t say it, it was their term that I saw repeatedly. They called it the hands-on aspect of the project. And I think what they were getting at there was that they felt like they were doing things even beyond just the fact we got out of the classroom to watch a special collections, and even beyond the fact that they were taking photos themselves, the overall project gave them a sense of doing something together and working towards this goal, this shared goal, and they responded very, very, very positively to that. And really, I think that’s a strong takeaway thinking about our course design and how we assess student learning and the ways a lot of us are really striving to help students build connections with each other while helping them build these academic skills. And so that idea of an active learning approach, a student-centered approach, they clearly responded to that. They also, in the post-program survey and in other kinds of discussions I had with them, they felt very positive or were interested in looking at photographs of their college campus from the past. They found that interesting. They definitely understand what Special Collections is now. [LAUGHTER] It’s not this weird term they’ve never heard of. And the other thing that it did really well was, I do think almost just in the process of doing it, even if some of them couldn’t quite articulate this, but their work showed that they understood that thing that I was saying I was really hoping they would get, which is that photographs of ordinary life are significant and important. And the other thing that worked really well, we talked about why they could trust that the photographs that were in the textbook were reliable, that they were what they said they were by tracing them back to often Library of Congress. And every time they did that, I would remind them we can trust that this photograph is what it says it is, because the actual real one that you hold in your hand that was taken is at the Library of Congress, like our Special Collections and the people who work there, it is their job to make sure it is what it says it is, and their job depends on it. If they misrepresent it, if they try to falsify something, they’ll get fired. And then we backed it up by then going to Special Collections. So students did actually experience, which so few, not just students, like so few people now, to have the experience of putting your hand on the thing instead of seeing it on the screen. So all those things together, I feel confident that many of the students left with a better understanding of what questions do we need to ask about a photograph to verify that it is what it says it is.

John: And this strikes me as being a type of authentic learning experience which is not vulnerable to AI. And you mentioned AI at the beginning as one of the factors in putting this together. Could you talk just a little bit about that aspect of the project?

Jessamyn:Yeah, I think the concept that I was thinking about, or I would say maybe the principle, the teaching practice, the principle that I was operating from, is that I always want to convey to students that their ideas matter. It’s my strength as an instructor. Dynamic lecturing is not my strength. Being a super lovey dovey is not my strength. [LAUGHTER] But what I’m really, really good at doing and students get right away from me, is that I’m very fascinated in their thinking, and I really value their ideas, and I want to empower them to be able to share their ideas and explain their ideas and write about their ideas in my class and beyond. So the starting point was that, to the student, your experience of being a student at SUNY Plattsburgh is important. It’s valuable. I value it. I want other people to value it. We’re going to put it in a archive. We’re going to put it in a digital collection that’s going to be there and available for anyone who goes to the SUNY Plattsburgh library digital collections forever. So all that is to say that it wasn’t taking an approach of, well, I know that AI is unlikely to generate a photograph of a student at the convenience store at SUNY Plattsburgh or a student’s my cat sitting in the dorm window, but more that students wouldn’t need or want to offload that work, because it matters to them. It was their experience. It was important to them. I mean, it’s not just students. Everybody looks for a shortcut. Our brains look for a shortcut, especially when we think it’s not worth our time. Nobody goes out of their way to spend more time doing things they think are unimportant. Our brains are too smart for that. They say “No, no, what’s the least amount of work I can do [LAUGHTER] to get this done?” So I think it makes total sense to ask students to do work that could help them achieve the learning outcomes, but gives them some choice and some way to make it meaningful for them. That was the other thing they said in the survey. They clearly said that they appreciated having some choice, so they got to choose what to take photos of, and then we worked together to choose the final ones.

Rebecca: That autonomy piece seems incredibly important, as does this idea of being a part of something bigger, because we’re working on like a collective collection and putting things together so they were depending on one another to be successful as well.

Jessamyn: Yeah, I know that, and some other things I did in class really emphasized that your colleagues need you to attend and participate. And I did hear from several students who said something along the lines of it had never occurred to me that my being in class would help another student. I think a lot about academic agency and the idea that as a student, I am an active participant in my education, my success is not dependent on other people, like mainly the professor. I have agency and power to do well. It’s hard to build those skills as a student, especially a newer student. It was an interesting class. There was one senior, and then there was a couple second-semester first-year students. And it was the kind of project where I could see some difference, as in a couple years of working on building that academic agency.

John: And one nice aspect of it is in, I believe it was the words of David Wiley, it’s not one of those disposable assignments [LAUGHTER] where students submit something and they never see it again after the end of the semester. It has a life that lasts beyond that, which gives it much more intrinsic value.

Jessamyn: I think so. Of course, I’m a big archive nerd, so I was, like, really hyped up on the fact it was going to be there forever. I don’t know that that necessarily registered with all the students. I have a feeling it might be one of those things that students do it and then it may take a while to kind of percolate and figure out, “Ph, it’s still there. Oh, look at that.’ [LAUGHTER] I certainly hope it’s around… I believe it should be there for a long time. And if they were to have their children thinking about college or going to college, and this is something that they could show their families, “This is a photograph I took of my dorm, of some friends of mine, of track practice,” [LAUGHTER] it would be very cool.

Rebecca: It’s fun to think about for sure. So one of the things that it sounds like it was important to this project is some of the aesthetic components, or the skill of taking photographs and things that are maybe outside of the historical discipline that you’re in and might take advantage of other skill sets that folks have, but others might feel like they have a deficit in that space. How did you negotiate that with students?

Jessamyn: I am lucky, either just by luck of the draw or the way I conveyed it, they were not worried about that, which was great. They were not worried about that. And maybe it kind of goes to the fact that they were really getting that intended point that just ordinary photographs of ordinary life can tell us so much. Because I will say, and I do write about this in the introduction to the exhibit, these are not highly artistic or professionally crafted photos, even not especially revealing journalistic photographs. They’re really casual and ordinary, even to the point students usually refer to them as pictures. They’re pictures they took. They were taken almost all… there was one person who took some photos with a camera, otherwise it was with their smartphones. None of them, except this semester, was the semester of the total solar eclipse. So with the exception of the total solar eclipse, none of the photos document any exceptionally rare or groundbreaking events. But when you look at them as a whole, they really reveal day-to-day details about life for undergraduate students at Plattsburgh in 2024: the way they socialized, the way they studied, the way they got food, the way they did laundry. And for me, looking at them as a professor, as a parent myself, they do reflect what I see as the hopes and the challenges, the bonds and the aims and desires of our students to do well and succeed and make progress in their life.

Rebecca: Reminds me a lot of some storytelling projects that I’ve heard of, even with kids, and things where you put cameras in the hands of kids to document their daily life to see what it’s like through their eyes, it has a feeling similar to that. And in that respect, I can understand how the aesthetic piece, like drops back as not being important.

Jessamyn: Yeah, they wrote descriptions of the photos, captions, and sort of summary from the photographer’s standpoint, of what’s going on in the photograph, thinking about that historical context piece again.

John: It sounds like a wonderful project, and for students who grew up using Instagram [LAUGHTER] as their primary social media, it seems like a very natural environment for them to be working in.

Jessamyn: Yeah, they did not worry about taking photographs with their phone, that’s for sure.

John: This discussion reminds me a little bit of a podcast we did with Martin Springborg and Cassandra Volpe Hori, who created a book called What Teaching Looks Like. It was, and we can include a link to the podcast we did with them as a link in our show notes. In their book, they captured pictures of day-to-day teaching interactions at many different institutions for much the same reason: to use imagery to represent the interactions that were occurring at that point in time in those specific places. One other thing we should ask about is that, when we last talked to you on the podcast, you were at SUNY Plattsburgh, now you’re at Syracuse. Could you talk a little bit about your new position there?

Jessamyn: Sure, and I’m so glad to have the opportunity to talk about Picturing Plattsburgh one more time, because this was the last class I taught at Plattsburgh after 19 years there, so it was a very bittersweet experience for me, doing the project and working with the students there for the last time. I so, so enjoyed working with SUNY Plattsburgh students, and like I say in the acknowledgement to my new book, sorry for all the mistakes I made, [LAUGHTER] and thank you for sharing your ideas with me, SUNY Plattsburgh students. I started the new role here at Syracuse University in August of 2024. I am the Director of their Center for Teaching and Learning Excellence. We’re a small but mighty center and doing a lot of collaborations with a lot of new people. You’ve actually had two of my colleagues on the Tea for Teaching podcast to talk about our Students Consulting on Teaching Program, which is one of our signature programs here at the CTLE.

Rebecca: So we always wrap up by asking, what’s next, Jessamyn?

Jessamyn: Well, I’m so glad you asked, because I’m hoping to come back pretty soon when my new book comes out. It’s called Snafu Edu: Teaching and Learning When Things Go Wrong in the College Classroom. It’s going to be published in the University of Oklahoma press series, Teaching, Engaging, and Thriving in Higher Ed, and I hope it will be available for pre-order very soon, March/April 2025.

John: We’re looking forward to that. We heard some of the earlier discussions about that on other podcasts, and we’re really glad to see it coming out. And I think we can learn a lot from [LAUGHTER] those experiences.

Rebecca: Well, it’s always a pleasure. Jessamyn, thanks for joining us. Thank you so much for having me,

John: …and we hope to be talking to you very soon [LAUGHTER] about Snafu Edu.

Jessamyn: I’ll be there.

[MUSIC]

John: If you’ve enjoyed this podcast, please subscribe and leave a review on iTunes or your favorite podcast service. To continue the conversation, join us on our Tea for Teaching Facebook page.

Rebecca: You can find show notes, transcripts and other materials on teaforteaching.com. Music by Michael Gary Brewer.

[MUSIC]

386. Critical Thinking in the Age of AI

Throughout human history, we have relied on technology to make our work easier. In this episode, Michelle Miller joins us to discuss how to foster students’ critical thinking skills in the age of AI. Michelle is a Professor of Psychological Sciences and President’s Distinguished Teaching Fellow at Northern Arizona University.  She is the author of Minds Online: Teaching Effectively with Technology, Remembering and Forgetting in the Age of Technology: Teaching, Learning, and the Science of Memory in a Wired World and A Teacher’s Guide to Learning Students’ Names: Why You Should, Why It’s Hard, How You Can. Michelle is also a frequent contributor of articles on teaching and learning in higher education to a variety of publications including The Chronicle of Higher Ed.

Show Notes

  • Miller, M. D. (2014). Minds online: Teaching effectively with technology. Harvard University Press.
  • Miller, M. D. (2022). Remembering and forgetting in the age of technology: Teaching, learning, and the science of memory in a wired world. West Virginia University Press.
  • Miller, Michelle (2024). A Teacher’s Guide to Learning Students’ Names: Why You Should, Why It’s Hard, How You Can. University of Oklahoma Press.
  • Diane Halpern
  • Gerlich, Michael. (2025). AI Tools in Society: Impacts on Cognitive Offloading and the Future of Critical Thinking. Societies, 15(1), 6.

Transcript

Rebecca: Throughout human history, we have relied on technology to make our work easier. In this episode, we discuss how to foster students’ critical thinking skills in the age of AI.

[MUSIC]

John: Thanks for joining us for Tea for Teaching, an informal discussion of innovative and effective practices in teaching and learning.

Rebecca: This podcast series is hosted by John Kane, an economist…

John: …and Rebecca Mushtare, a graphic designer…

Rebecca: …and features guests doing important research and advocacy work to make higher education more inclusive and supportive of all learners.

[MUSIC]

John: Our guest today is Michelle Miller. Michelle is a Professor of Psychological Sciences and President’s Distinguished Teaching Fellow at Northern Arizona University. She is the author of Minds Online: Teaching Effectively with Technology, Remembering and Forgetting in the Age of Technology: Teaching, Learning, and the Science of Memory in a Wired World and A Teacher’s Guide to Learning Students’ Names: Why You Should, Why It’s Hard, How You Can. That list keeps growing since we first interviewed you. And Michelle is also a frequent contributor of articles on teaching and learning in higher education to a variety of publications including The Chronicle of Higher Ed. Welcome back, Michelle.

Michelle: Oh, thank you. And yes, it’s really satisfying to see these books making their way out into the world. And if it weren’t for engaged faculty audiences, that wouldn’t happen. So I guess I’ll put that gratitude out to the audience as well.

Rebecca: Today’s teas are:… Michelle, are you drinking tea?

Michelle: I sure am, I’ve got a nice green tea from Hong Kong.

Rebecca: Nice. How about you, John?

John: I am drinking a pure peppermint tea today.

Rebecca: So far, we’ve got a good variety, and I’ll follow up with some black tea. [LAUGHTER] I have a Lady Grey today.

John: Very good. So we’ve invited you here to discuss the development of critical thinking skills. And let’s begin by talking about what critical thinking is and any misconceptions or missed opportunities that you’ve noted in your work around this issue.

Michelle: So this is something that I’ve really started engaging with myself back when I was writing the book Minds Online. And those who are familiar with its structure know that I try to use a really, really simple little heuristic for divvying up the cognitive demands and some of the relevant cognitive research and processes that are involved in the type of learning that we address in higher education, and one of those is thinking, and even within that is this topic of critical thinking skills. And so I had just kind of caught myself, year after year, monitoring what was going on in the development of research around this, of course, thinking about it in my own teaching, but also finding myself being really reticent when I was working with faculty audiences to say, well, this is a really kind of a, if not totally unique, a pretty specialized subset within thinking skills more generally, and then the bigger, broader umbrella of cognition in general. So it’s almost like the first missed opportunity is my opportunity to engage with faculty around this. So I love it, it’s this really deep topic. But that’s one reason why it’s hard to just say, oh, and in five minutes, sandwiched in between five other things, we’re gonna address this. And so that’s what I’ve kind of been reexamining myself. So when we talk about what is critical thinking, that is actually the first really big challenge and, or sometimes misconception around the topic. And no surprise, there’s differences of opinion in defining things, and of course, really getting into that challenge of how do we define a thing and pin it down, and let’s all kind of debate the definition. But critical thinking here really is a special case in that there have been quite a few attempts to make these very general sort of top level, kind of elaborations of what it is. Think about words like evaluate or analyze, reflect and so on. But I don’t think we have converged on one of these as really the best across disciplines, and I kind of fall in with some other thinkers in the sphere who’ve said maybe a discipline independent, context agnostic definition doesn’t exist, [LAUGHTER] because maybe the phenomenon itself doesn’t exist. So I’ve, myself, really been drawn towards the more, I guess you’d call them, situated or contextualized definitions of what it is. If you drill down a little bit further, you get, for example, Diane Halpern, psychologist, this towering figure in our field. So naturally, I would gravitate towards what she says, but she says things like evaluating and analyzing evidence in the service of making decisions, so thought processes that lead to a good outcome. So that’s a little bit more practical, but it still doesn’t really make it so a given faculty member teaching in a given course can say this is what it looks like when students came in without a critical thinking skill and they leave with it. [LAUGHTER] And as with anything, if we don’t have that, then no surprise that we’re maybe not going to get there, or not get there as completely as we had hoped to. And so that’s one kind of set of, if not misconceptions, challenges or things that people often don’t realize when they wade into this issue of teaching critical thinking. And it follows from that, unfortunately, that we can have the misconception, that we can describe it to students and they’ll get it. I know, for me, I would be embarrassed to say how many years I taught, for example, Introduction to Psychology, which we pride ourselves on being like this is the critical thinking class. And even if you never take another psychology course, you’re going to come away with these great reasoning skills. And gosh darn it, I had a whole half of one class period that we discussed it, maybe, and it was on the study guide somewhere. So we think, “Oh, okay, I’ll just tell students this is important.” Say, “think critically.” And of course, naturally, they don’t know what it is either. And I can really see, in my mind, at least, how students could come away with the idea that critical thinking means just sort of criticizing everything indiscriminately. It means nobody knows anything, a total relativism, that no, that’s not what we want, or in its worst forms, it can read too as just like, agree with me. Like I can go and say, Look, “I’m a psychologist, and I’m pretty critical of the idea of horoscopes.” And if you think that your horoscope is going to predict your future, you’re not engaging in critical thinking, you’re wrong. So that’s what we want to get away from. And where I think that it can be this really great fertile ground for faculty if they step back and say, “Okay, what does this really mean at that more actionable level,” and then start to align instruction to that, because it’s gonna take a lot more than half a day, I’ll tell you that much.

Rebecca: Seems like you’re suggesting that it would be helpful for students to be able to identify specific behaviors or specific practices that we would identify as critical thinking. But if they know what the beginning, middle and end of an action is, [LAUGHTER] they have a better idea of what that looks like and what that feels like.

Michelle: Yeah, absolutely. And that’s also a pretty psychological way of coming at it as well. Like, okay, of course, this is something that happens in your mind, out of view, between your ears, but I want to see what happens on the page or the decisions that you do make in the world that align with what I would consider to be evaluating and analyzing evidence in a powerful way. And yeah, when we get into a little bit more of the challenges, I mean what I’ve laid out for faculty, and again, really drawing on a lot of research that’s been out there for a while, even beyond that defining issue, which, yeah, that’s going to challenge faculty. It’s going to get in the way of designing the activities. It’s going to challenge students. They don’t know what they’re trying to aim for to meet this thing that’s on the syllabus. It is also what I would almost call a cueing problem, or someone’s just kind of off the cuff, called a “when to” versus a “how to” problem with a lot of the skills that we are helping students develop. It’s “Okay, here is how you break this down. Here is how you conduct the statistical test. Here is how you read an APA style research article.” But this is something that’s like, “Okay, here’s how to find, for example, issues with correlation versus causation in the interpretation of a study.” Great, we can do that. But are you going to know to do that when you’re writing your paper? And even a more far transfer of that as you’re scrolling through whatever social media feed of choice is, and you get the like, well, I drank a cup of lemon juice a day, and now I’m healthy as a horse. [LAUGHTER] It’s sort of the same problem. Am I going to have that sort of inclination or disposition to say, “Oh, right, this is when I need to do this.” So there’s that. A lot of folks have talked about effort as well, part of this running theme of cognitive miserliness, that our brains and our minds really seem to run in high-efficiency mode, where we save time and save energy over getting to a more idealized solution. And also, as a lot of folks have talked about, a motivation to maintain beliefs, whether it’s a very profound thing, like, “I don’t want to critique this belief because it’s really foundational for intellectually or emotionally or spiritually,” or even just dumb things like, “Oh wow, I really want to buy this thing I just saw an ad for. And maybe I just won’t take a look at all those negative reviews,” or “I’ll assume that the reviews that all have these wonderful five stars are perfectly reputable.” So all of those things form quite a steep set of challenges for students and for faculty alike, right?

John: Very much so. And what makes it more complex, and I think you alluded to this, is that each discipline has its own definition of what critical thinking skills are. I remember I spent about 10 years on faculty assembly one semester where they were coming up with a new Gen Ed curriculum, and one of the main issues was, how are we going to build critical thinking into our requirements? And ultimately, it was left up to the individual disciplines because there could not be a consensus formed. Each individual department had a very good definition of what they believed critical thinking was, but it differed quite a bit from what other departments thought were important skills. So it makes it somewhat challenging for students when they’re faced with this wide variety of definition of critical thinking in terms of being able to develop those skills.

Michelle: What you’re describing, what a perfect example. I mean, it sounds everybody went in good faith, had this really strong set of ideas going in. But I don’t see this as just like, “Oh, there go the academics again… consensus… they can’t reach it.” I think that they were probably running into a real issue. And again, there’s a couple things at work here. I think that there’s also this sort of flawed metaphor that I think it’s flawed, and I think it runs through a lot of cognitive aspects of learning, of the muscle metaphor, of like, “Oh, there’s a critical thinking muscle in your brain, and if you just build it up, then it’s gonna be strong for a really long time.” And most things in the mind actually don’t totally work like that. They again, are more situated or contextualized. But I always say to faculty, I’m like, if we go in, we can sort of say, “That’s okay, that’s all right.” And hopefully more institutions will do what it sounds like may have happened more or less by default in this particular example of like, well, okay, we’re gonna go back to our colleges social sciences and so on, or we’re gonna go back to our individual disciplines and try to operationalize it there. So I look at it, and I see that this is a very rich spectrum. It’s like in business, I’ve been trying to compile all these different examples, and if I’m a business major identifying pattern that suggests some kind of financial mismanagement, don’t take the company’s word for it. What does it look like? One hears that’s critical thinking there. If I’m in healthcare, being able to look at relevant research findings, and try to translate that into selecting the right kind of interventions. Engineering has its applied systems thinking and so on. And so if we come at it the right way, that can be a strength, not a weakness, I think, and I may be a little unusual in that, but that’s what I come away with.

Rebecca: One of the things that you mentioned earlier about knowing like when to do a thing really makes me think a lot about a move in some disciplines, and I know this was true in design and art a bit is to focus a bit more on process rather than always on outcomes, so that you can see some of the thinking and really build in when to do things and when to implement particular techniques to work towards a particular goal, and slowing things down a bit so that we could emphasize some of those things.

Michelle: I think that that is also a really important and strong approach. And here, too, I’ve heard across lots of different disciplines as well, sitting with faculty and kind of grappling with lots of, to me, interesting teaching issues. They’ll say like, “Okay, yeah, I taught that how of how to work their problem,” or, like, “if I’m teaching students how to do statistical analyzes in their research projects,” like, “Okay, I can go through and conduct the steps for a t-test or an ANOVA and so on.” And I’m not dismissing that, that’s important stuff that is important to be able to do, but I’ve heard so many variations on “But they can’t set up the problem. Once it’s set up, we’re good to go.” And that’s where, instead of kind of saying, “Ah, our students can’t,” well, what are their opportunities to do that? So let’s build in more of those really messy this is more about watching you do it and having you explore different approaches then you have to check all the boxes exactly right. There’s a time for checking all the boxes exactly right. Again, not knocking that, but yeah, of putting our students more systematically in those situations, we might see some real growth there.

John: One of the challenges, I think, that we’re facing is that we’re seeing so much misinformation being shared on social media and AI tools provide increasingly realistic, deep-fake multimedia files with audio and video. And there’s a lot of politicians out there who seem to have little regard for centuries of science, for example, where they are questioning things like whether or not vaccines are useful, despite over a century of evidence on this. How can we help students develop their critical thinking skills they need to navigate this environment where there’s so many opportunities to be misled by all this information.

Michelle: Oh my gosh, yeah. You’ve really brought this together, and it’s such a powerful way. I mean that really says it, right? And as you’re describing this, absolutely. Talk about a perfect storm. Talk about an absolute perfect storm. So here we have something that runs off of low effort, and I don’t buy into it, like, “Oh, people these days are cognitively lazy.” I think that’s just an overriding feature [LAUGHTER] of human cognition that I feel like, if there have been changes, that’s been a drop in the bucket, but I do have access to something that is incredibly easy to use, click it open, start scrolling. And so it really biases us towards low effort. It biases us towards speed too. I mean, Instagram has never kind of been my thing, but those who really like it, it is amazing how that that’s what is sort of designed into that system, the ability to just whiz through and visual processing is so fast, and that’s great and all, very entertaining. But here I am in that fast, quick, low-effort mode, as you said, it’s now multimedia. That is also what makes it so compelling, is the visuals and the audio and “Oh, guess what just came along?” Really great ways to fake that. And is anybody else doing it? Is there that? Can I see anybody else who’s cueing me and saying, You know what? Maybe we should authenticate this video before we post it 48 million times? No one is. And last of all, you’ve thrown motivation to maintain our beliefs into the mix. Wow. And so if I am inclined, if I’ve always had a bad emotional feeling about vaccines. And I’ll just say that, as a psychologist, I kind of think that that’s where some of it comes from. Vaccines are weird. They’re not pleasant [LAUGHTER]. They’re okay to think about, and I haven’t liked it. I don’t want to get one. Last year’s flu vaccine made me sick and made my arm hurt. I mean, it does not take much to knock me straight off into. To okay, I’m posting it, I’m believing it, and that’s where we are. So that’s what I see when I kind of spin that scenario out. So there’s lots of things that we can look at as far, and we’ll probably delve into a little bit further, as far as kind of the instructional strategies for critical thinking. But in this one instance, let’s take that perspective of instead of starting from 50,000 feet with critical thinking of, let’s have a general definition and then try to figure out a way to have it filtered down. Let’s do bottom up. Let’s say, “You know what? If critical thinking looks like stopping the feed and before I hit post, if it means at least some proportion of the time I ask about authentication, if I’m applying what I should know about the potential for AI deep fakes. If that’s what it looks like, then that’s the practice that students will need.” And I would throw it out to the ever creative and always innovative faculty across disciplines to say, “All right, if this is something that is relevant to thinking in your discipline, or something that you just want to reinforce in your students, how can we have students exercising that and build that from the bottom up?” And then maybe that 50,000 foot view of critical thinking and that bottom up, “Okay, I learned to at least process my feed in a more critical way. Now I’m looking at how I read things. Now I’m really looking at media literacy and so on, and so maybe those things will meet in the middle.” This is an audio only podcast. I’m making all these gestures here, [LAUGHTER] my little hands getting closer and closer together, but that’s what I see when I look at that issue.

Rebecca: I hear a lot of scaffolding and backwards design in what you’re suggesting. Can you talk a little bit more about some of these practical strategies that we can use in the classroom to address critical thinking?

Michelle: Yeah, and it’s another really tough one to communicate with faculty maybe why I’ve been so like, squeamish in some of my work with them, just because you kind of have to start with a negative message. And that’s why I share of like, “Oh yeah, me and my whole one half of a whole day on critical thinking,” because that’s the thing. you first have to know, this is a big, long journey, and I’ll throw out a metaphor. Some of you know that I spent a lot of time here at the Grand Canyon in Arizona, and I’m always on forums discussing all the big hikes and so on and what we always see is like, “Oh my gosh, I’m gonna go to the river and back. I’m gonna hike from the north rim all the way to the south rim. What am I in for?” It’s like you need to know that this is gonna be no walk in the park. [LAUGHTER] Really wrap your brain around what’s involved with this. Worth it? Totally, absolutely, an incredible accomplishment if you get there. So hopefully I can infuse a little bit of that spirit in it. So first of all, go in forewarned, don’t walk to the bottom in 110 degrees with one bottle of water and figure it’s going to be okay. So with that, yeah. And then reflecting, we always want to do this with thinking skills. But again, backing up and saying, “all right, what does this look like?” Free yourself as much as you can from “Oh no, it has to look like somebody else’s definition.” Or is this general or all encompassing enough? Just really get concrete about that, and then focusing on the why. And that’s also been a running theme here. When you talked about process, that to the extent that things do work, and there are no silver bullets in this arena. We don’t have anything, [LAUGHTER] unfortunately, like that. But to the extent that there are things that we can say, yeah, that was really effective, it’s where the focus is on the why and not the answer. Whether it’s just a multiple-choice question of, “Hey, if you got a question wrong, come and explain it or discuss it and maybe recover some of your points,” or something very, very big, like we’re having a big debate in class about two approaches to an issue, and one of the big things I’m going to want to look at is your reasoning. And sometimes this is talked about in cognitive psychology as focusing on the deep structure of a problem. So all those kind of things that make similar problems link them together, like all those correlation versus causation problems that I can see as an expert, but the novice is just like, these are all totally unrelated [LAUGHTER] instances, but when you start to say, “Okay, but here’s the sort of working parts underneath that, the mechanism,” that can move the needle a little bit. And direct practice. Students almost always need more practice over time. And the research that’s out there that I’ve seen is showing like more like a couple of months of practice [LAUGHTER] instead of a couple of hours or a week or two. So if that’s what we mean. So practice, practice. And lastly, that motivation to maintain beliefs. That’s a really tricky one. Most of the folks in the field seem to say you got to take careful and indirect approach. If I come in again and be like, “How could you think that horoscopes [LAUGHTER] could possibly…?”, you know, if somebody asked me my sign on a first date, that would be the last date. [LAUGHTER] You come in with that kind of attitude, well, naturally, people shut down. So going with respect and sometimes asking the questions of, “why?” Okay, so explain to me how this works. That can be a better thing than just mowing it down. So be direct in the practice, and be indirect [LAUGHTER] and use a light touch when there’s a possibility of those kind of things that are maintained by motivations.

John: One of the things that’s been happening is that with the increasing use of ChatGPT and other AI tools, there’s a lot of concern that students are using it to offload some of the cognitive processing that they might normally do while they’re reading texts or analyzing materials. And there was a study by Michael Gerlich at this Swiss Business School earlier in January that found that students who used AI tools more, tended to do a bit more cognitive offloading of these tasks, and that there seems to be at least some correlation with the decline in students’ critical thinking skills when they rely, to a greater extent on AI. What types of learning activities can help students develop critical thinking skills so that they can more critically evaluate the types of output they’re receiving from generative AI tools?,

Michelle: Yeah and here too, that could further decompose into different multiple issues. There’s critiquing output you get. And I’ve heard some really clever assignment ideas where that’s part of it is like, “Okay, go ahead and generate this essay,” like I heard a professor, there was a very cliched topic [LAUGHTER] that her students were always coming back to, and instead of just forbidding it, she’s like, “Okay, have ChatGPT write that essay, and then you critique it.” And then there’s the more process oriented: “Here’s the process that I want you to engage in,” for example, reading and evaluating, say, research studies in psychology, the way we do a number of my classes. And the alternative is stick it and say, “ask ChatGPT to give you the [LAUGHTER] talking points from the article. So part of it is going to depend on what exactly do we mean, but I did want to really address too, or come back to, the study with the correlation between use of AI tools and cognitive offloading, in particular, and then critical thinking skills. This is a research area that absolutely I hope that we kind of build out on. But there’s some things that I have curiosity about and want to kind of at least have people pump the brakes a little bit, because this is one of these dynamics that can happen, maybe a little bit of motivated reasoning here. If I like, “Ah, AI, is this issue in my classes? I’m really wrestling with it. We’re wrestling with it on campus. Oh, AI, kills critical thinking.” And this is the dynamic that I feel like we’ve seen a little bit before, for example, with the flap over laptops and whether those degrade learning. And boy, people ran away with that in ways that were not supported by the original study, and then even with what the author [LAUGHTER] said about the study. So a couple of things that we should keep in mind with that research, which, again, I’m really glad they conducted it, and I hope there’s more research like that. This is not a laboratory study where we’re assigning people to groups, of course, and saying, “Here’s what happened to critical thinking abilities,” and this was a multi age study. Was also we want to be cognizant this wasn’t like in a class or educational setting, for what that’s worth. There’s a lot of self report here. I always have an issue with that in lots of research on technology. So if you ask people, how often do you use AI to, I think, it was answer questions or solve problems, which also a couple different things are covered there in the original study. If you just ask people that, I don’t know that people can track that, that’s different than actually measuring that. It’s a start. But know what you’re kind of getting there. And I mean cognitive offloading too. This is the thing I’ve really noticed this tilt towards interpreting cognitive offloading as a bad thing, and that I don’t think is in the spirit of how it was originally intended. It can sometimes be a good thing. It’s a neutral thing. And everything from using Post-It notes to GPS on your phone to using an abacus or counting on your fingers are all instances of cognitive offloading. So this is not something [LAUGHTER] that just started. So there’s a couple of things there. So does it predict a decrease in critical thinking skills? And again, here, this is self report using some good measures adapted from decent established instruments. But here, again, we weren’t watching to see okay, here’s students who are actually grappling with academic problems or making decisions in real life. So I would absolutely encourage folks get out there and read the study itself and make your own decision, also it’s very much in the spirit of what we’re talking about here. So there is that. But I do think that a lot of experts who are looking at the development of AI in higher education, they’re all saying some variations of the same things, like, you can’t send students home with something and say, here’s a really difficult effortful thing that I know is important for you to engage in. Maybe you know that, maybe you don’t. Here’s a trap door [LAUGHTER] that you can evade the entire thing with AI. You cannot assume that students are going to get what they need to get out of that assignment anymore. So that is a real question that we had. So let’s not run away with the idea that, “Oh, AI is there, and it’s going to destroy critical thinking by its very existence.” But let’s really be thinking through what we’re assigning students to do. And I’m hoping we’ll hear more from faculty, sort of in the field, say, “You know what? I was really transparent with students, and here’s how I got them on board with ‘Yeah, we’re actually going to read these articles, even though ChatGPT can summarize them for you.’“ Or here’s how I just closed that trap door up and actually made it work that way. So that’s a complicated take on a complicated issue.

Rebecca: The onset of AI in teaching and many other things have led to a lot of faculty overwhelm around a wide variety of topics, and AI is certainly just one of them. Have you seen this? And are there things that might help faculty as they navigate new technology, new policies, many new things in their work?

Michelle: Yeah, and the issue of overwhelm, I mean, this is one that just kept coming up into my mind again and again, as I’ve done at least my first little modest set of things that I’ve written about and shared with folks. A couple of things, and some of these are going to, no doubt, rub some people the wrong way, but I’m going to put them out there anyway, because I think they’re a really practical way to go. The first thing is, I think that a really important starting point is always going to be our own professional practice, and again, discipline independence, just like critical thinking, it’s really hard to say, “Okay, make sure you evaluate evidence and make that somehow stick across a curriculum.” I’ve really pushed against the like, “Well, there’s an AI future and AI workplace,” and I don’t know what that is, but I can prepare students for careers that are related to psychology and future lives that are very well informed by all the wonderful things that psychological science has revealed for us. That I can do, and I do that every day, and so really kind of narrowing, in a good way, the focus and the scope here. I hope our leaders are getting this message as well. We’ll put out fewer of these like, here’s “AI for everybody,” and more like, “Okay, I want to know how you’re going to be preparing students in social science for uses of AI that are appropriate to them in the future.” And part of that is getting in there and using the tools yourself. And I will tell you one really important thing, even more so, believe it or not, than all the other ed tech I’ve seen come and go [LAUGHTER] over the years, the level of hype and over claiming that seems to just get by is astonishing, and it falls apart very rapidly when you sit down with the tool yourself. And I think that’s where we faculty will actually really, really shine. I won’t name too many names right now, but like, “Oh, wow, AI can do that for me.” And that’s terrible. I’m not gonna recommend this to my students. And other ones where I am like,”Oh, okay,” and only a disciplinary expert knows this. And to give like, an example, I was working with a faculty member in a workshop. She was in pharmacology. Wow, talk about something that’s way out of my field, and so I’m a little odd. And she talks about “And I made this assignment, and part of it is to critique some AI output.” I’m like, “Oh, I know where this is going.” She’s gonna tell me that “Oh, AI is gonna tell me bizarre things about medications.” And now she’s like, “Oh no, no, no. I use it to generate some scenarios.” It was something involving, like rare toxins, a really cool assignment. She’s like,”Oh no, no. For this particular tool, it taps into this particular database. I happen to know that that’s really, really strong, and I haven’t seen a problem with it.” So that’s where we can really get in there and start to craft things. So you can start it at that level. And another really, probably unpopular piece of advice, but one that I think is important at this juncture, is, okay, we have these big questions of the ethics of AI use: How did this stuff get built? Who’s going to be regulating it? I think that’s incredibly important. And I would imagine that pretty much everybody listening to this podcast would agree with that, however, going and saying like, “I have to figure that out myself [LAUGHTER] before I start writing an AI policy for my syllabus” or trying some of the tools, so that I can talk intelligently to students about the pros and cons. That’s an issue. So I would say those kind of have to go on parallel tracks if we’re going to make some immediate progress. And I feel like, and I felt of myself initially, of like, “oh my gosh, all these big issues.” Well, that’s not my job to solve. It’s great if I can contribute to that and support solutions and approaches that I think are ethical, but I’m not the one who’s going to figure that out all by myself. So here’s some positive things I can do with my students in the meantime.

John: One of the things that Michael Gerlich suggested in that article is that in case there is some issue with a decline in critical thinking skills, we probably should assume that students are going to be experimenting with AI tools, and he suggests that maybe we should focus a bit more on training students to apply critical thinking to the output of AI, because if they’re going to use it anyway, we might as well use it as a tool to help develop these skills that we’d like to improve. Does that seem like a reasonable strategy at this point, with a lot of experimentation going on by a lot of faculty right now in trying to integrate this into their practices?

Michelle: Yeah, and I think higher education faculty are in a great position to do that, because from industry, we get this kind of kind of cutesy pooh, “Oh, it’s hallucinating.” It’s like, no, it’s wrong. It’s inaccurate. If this was a book, you would roast it in an Amazon review if it was just wrong. So we can get away from that. We can also not fall into the “Well, use it, but don’t use it, trust it, but maybe not so much.” And that starts to remind me of like all the terms of service. Like, well, read the terms of service when you click into something, but we know you do didn’t really. I have no patience for that. So really being able to nail down the limitations, and particularly, again, situated in these disciplines where we are incredibly skilled experts at knowing where it is likely to trip up and what sorts of mistakes are a problem and which are less of a problem and guiding students into that. So if we can design those ideas, and yeah, sometimes we can take it in another direction and use the power of the tools for our own purposes. And that’s also where I get a little nervous about the like, blanket, “Oh, AI will kill your critical thinking.” Well, I wouldn’t want a faculty member to say, “Well, then I’m not going to touch it, because if there’s any way that it’s sort of contaminated my assignment, that’s bad.” I don’t think we’d consciously think that, but it can start to imply that. So I’m looking back when I used to teach research methods, one of my assignments I was very proud of was their final exam was I wrote beginning to end a fake study with fake data that was full of all kinds of problems that spanned everything from study ethics to degrees of freedom in the statistics module. [LAUGHTER] So I had maybe two practices, and then, for their final example, they went in and spotted the problems. They didn’t have to spot all of them, but they had to justify and say what’s wrong with it. And students would go wild over this, even though they know that I made this thing up. They would go crazy with all these issues. And it was perfect, if not perfect, I loved it, because that’s what we want students to come away with, but the labor that went into that, and I find myself like reusing the same scenarios across semesters. Okay, we’re gonna have this one be practice, and it was just so hard. And today, every student in the class could have a new one every day, and so it could do that work. I come in and here we go. Here’s these rich scenarios with students grappling with the messy problems, focusing on the why, but in the middle of it has to be a faculty expert to make all that work.

Rebecca: There’s just some great points and great fun use of AI for sure. I know that I’ve used it for scenarios and other things in my teaching and in other contexts, as well as we work with leadership on our campuses, thinking about policies and other ways to approach AI and making sure that we’re not losing sight of critical thinking and any kind of deep thinking [LAUGHTER] what kinds of recommendations should we be making?

Michelle: Ah, for leadership, and I love it, the receptivity to new ideas that’s definitely going to be key? Well, I’m gonna probably rehash a few of those points of be very careful about convening, like, say, a big, expensive task force to find the one consensus, to converge on the one solution. There are probably situations where that is absolutely what needs to happen. But one of the things that I think we’ve seen, too, you don’t really like to talk about it that much, I don’t think, but higher education is spectacularly unprepared to deal with just the pace of change here. And yeah, partly, industry is sort of driving the bus and the pace of change, and we don’t always have to accept [LAUGHTER] their timelines. But the fact of the matter is, is that you go to sleep, you wake up, and there’s a new version of something, [LAUGHTER] and so I was really surprised. I shouldn’t have been, but I was pretty surprised by, like, how it unfolded in my local context, and just among what I could see of, like, “Okay, here’s a little PowerPoint that I can take around,” and then two weeks later, I’m like, “I can throw that away?” I’m not used to that. [LAUGHTER] So, yeah, higher education, our deliberative nature is not a bad thing, necessarily. That’s good. It’s kind of like that’s what you pay us for, is to take the long view that’s grounded in a lot of evidence. But in this o ne instance, it makes it really, really hard for us not to feel like we’re flat footed. So beware of those sorts of things, and it’s demoralizing for faculty who well meaning, they’re interested in this, they’re excited about it, they want to contribute, and they spend four months doing something they can’t see how it played out. So my gut tells me that going for that college level is going to be important. So maybe I don’t want to chase down every single department or every single course to say, “How is AI going to be involved here, especially around critical thinking issues,” but saying, “Okay, the School of Engineering, or the School of Earth Sciences, the School of Social Sciences, Literature and Humanities, however, it’s sort of organized.” I think that that’s a pretty powerful sort of organizational approach there. And that’s something where too, it’s enough to where we can get some multiple voices in there and get some buy in, but it’s specific enough to where I’m not trying to align what I’m doing in psychology with something that people are doing in art history, with what forestry is doing, which, again, I think is really gonna neutralize us if we try to take that approach. And also dividing it up. The last thing that makes this such a hard thing for us is that it’s just so inherently multifaceted, much more so than, for example, even when learning management systems came on the scene and we’re like, “Okay, do we require everybody use these? Which one do we want? How do we pick? How do we train people?” At the very bare minimum, we got to kind of separate out academic dishonesty is over here, and it’s got its own little set of policies, and let’s set a team working on that, and positive uses and preparing students for that workplace of the future, and so on. These are separate issues over there. So yeah, be prepared to go in and just say, “Okay, two separate things, we’re gonna deal with them two separate ways.” I can’t imagine trying to sit at home on a Saturday and craft some long email that is somehow going to bring clarity to all the different aspects of AI. And I’m wondering if there’s any sort of resonance or spark of recognition there, as leaders, that you might see.

John: Do you have any other suggestions on how we can help students develop their critical thinking skills.

Michelle: One little theme that pops up from time to time in all the great stuff that’s been written about critical thinking, and one that I think might be worth its own special mention, is an element of what you could call intellectual humility, or even, I guess, the flip side of that too, is curiosity. Think of me with kind of cutting down some student over horoscopes in my class, even though I find the basis for that in psychological sciences. If I do not care at all about why a student believes that, or what it might add to their lives to believe in, I mean, maybe it’s just something fun that is like a little Rorschach test that I wake up with every morning. If I have no interest in that, and then I’m also not demonstrating critical reflection, nor am I setting a good stage for a discussion that foregrounds critical thinking. So yeah, and that is our big challenge to faculty with our incredibly developed intellectual abilities to balance that. Yeah, evidence is important, and some facts can be right or wrong. There’s different ways of interpreting them, but here’s some areas where they have to support the analysis, balancing that with all right and I could be wrong. I could have a cognitive bias of my own that I’m not as aware of right now. I kind of have to be on the lookout for always checking myself as I’m scrolling through that feed or going through those reviews for the thing that I really do want to buy, no matter how many one star reviews that the company suppressed. I need myself to get in the habit of doing that, and then I can model that for my students, and again, set the stage for more productive discussion. So I’m hoping that more research also gets into that too. What is that wonderful, magical balance of really valuing evidence and reasoning and then realizing and I could be wrong?

Rebecca: Well, we always appreciate, Michelle, conversations with you. I know I always leave thinking a little more deeply about whatever we’ve talked about, but we always wrap up by asking, what’s next?

Michelle: Oh, thank you, and you all as well. Even just kind of looking forward to this conversation has been such a catalyst to revisit topics and say, “Yeah, this is something that I really want to be doing more in.” And so that’s going to be a bit of a what’s next. I have a sabbatical year right now, and I’m kind of trying to do what one ideally does, which is say, “Okay, what do I refocus on?” And so I’m really at that very early stage of continuing to design ways of studying, interventions that I could then share with faculty, and just getting an ever needed sense of the lay of the land in this area of critical thinking. So you can definitely look for more on that. And in fact, for folks who might be considering attending an in-person event, I am going to be speaking at a couple of upcoming events where I know that I’m going to be talking about this particular thing, again, Rocky Mountain Psychological Association for the psychologists out there, my people. If you want to come out, I think it’s in Denver this year, I have a featured session. So that’s coming up. I’ll also be speaking at the Teaching Professor Conference, which is in, I believe, Washington, DC, over the summer. Some of your listeners may be regulars, or maybe thinking about that. So that’s a big “what’s next” item? I continue to work on this big writing project on attention. It’s still at this kind of embryonic, or if not embryonic, partially formed stage, where I’m still working on it. But folks can watch this space for more on that, and that is actually related. I will tease a little bit, that attention, what do you know, gets involved in critical thinking, because it is involved in pretty much all other interesting cognitive processes that take place in the mind. So that’s my big what’s next?

John: Well, thank you. It’s always great talking to you, and again, as Rebecca said, it always spurs some new ideas and some new thoughts on these topics. So, thank you.

Michelle: Thank you. You as well.

Rebecca: I look forward to your upcoming work.

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John: If you’ve enjoyed this podcast, please subscribe and leave a review on iTunes or your favorite podcast service. To continue the conversation, join us on our Tea for Teaching Facebook page.

Rebecca: You can find show notes, transcripts and other materials on teaforteaching.com. Music by Michael Gary Brewer.

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Rebecca: Throughout human history, we have relied on technology to make our work easier. In this episode, we discuss how to foster students’ critical thinking skills in the age of AI.

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John: Thanks for joining us for Tea for Teaching, an informal discussion of innovative and effective practices in teaching and learning.

Rebecca: This podcast series is hosted by John Kane, an economist…

John: …and Rebecca Mushtare, a graphic designer…

Rebecca: …and features guests doing important research and advocacy work to make higher education more inclusive and supportive of all learners.

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John: Our guest today is Michelle Miller. Michelle is a Professor of Psychological Sciences and President’s Distinguished Teaching Fellow at Northern Arizona University. She is the author of Minds Online: Teaching Effectively with Technology, Remembering and Forgetting in the Age of Technology: Teaching, Learning, and the Science of Memory in a Wired World and A Teacher’s Guide to Learning Students’ Names: Why You Should, Why It’s Hard, How You Can. That list keeps growing since we first interviewed you. And Michelle is also a frequent contributor of articles on teaching and learning in higher education to a variety of publications including The Chronicle of Higher Ed. Welcome back, Michelle.

Michelle: Oh, thank you. And yes, it’s really satisfying to see these books making their way out into the world. And if it weren’t for engaged faculty audiences, that wouldn’t happen. So I guess I’ll put that gratitude out to the audience as well.

Rebecca: Today’s teas are:… Michelle, are you drinking tea?

Michelle: I sure am, I’ve got a nice green tea from Hong Kong.

Rebecca: Nice. How about you, John?

John: I am drinking a pure peppermint tea today.

Rebecca: So far, we’ve got a good variety, and I’ll follow up with some black tea. [LAUGHTER] I have a Lady Grey today.

John: Very good. So we’ve invited you here to discuss the development of critical thinking skills. And let’s begin by talking about what critical thinking is and any misconceptions or missed opportunities that you’ve noted in your work around this issue.

Michelle: So this is something that I’ve really started engaging with myself back when I was writing the book Minds Online. And those who are familiar with its structure know that I try to use a really, really simple little heuristic for divvying up the cognitive demands and some of the relevant cognitive research and processes that are involved in the type of learning that we address in higher education, and one of those is thinking, and even within that is this topic of critical thinking skills. And so I had just kind of caught myself, year after year, monitoring what was going on in the development of research around this, of course, thinking about it in my own teaching, but also finding myself being really reticent when I was working with faculty audiences to say, well, this is a really kind of a, if not totally unique, a pretty specialized subset within thinking skills more generally, and then the bigger, broader umbrella of cognition in general. So it’s almost like the first missed opportunity is my opportunity to engage with faculty around this. So I love it, it’s this really deep topic. But that’s one reason why it’s hard to just say, oh, and in five minutes, sandwiched in between five other things, we’re gonna address this. And so that’s what I’ve kind of been reexamining myself. So when we talk about what is critical thinking, that is actually the first really big challenge and, or sometimes misconception around the topic. And no surprise, there’s differences of opinion in defining things, and of course, really getting into that challenge of how do we define a thing and pin it down, and let’s all kind of debate the definition. But critical thinking here really is a special case in that there have been quite a few attempts to make these very general sort of top level, kind of elaborations of what it is. Think about words like evaluate or analyze, reflect and so on. But I don’t think we have converged on one of these as really the best across disciplines, and I kind of fall in with some other thinkers in the sphere who’ve said maybe a discipline independent, context agnostic definition doesn’t exist, [LAUGHTER] because maybe the phenomenon itself doesn’t exist. So I’ve, myself, really been drawn towards the more, I guess you’d call them, situated or contextualized definitions of what it is. If you drill down a little bit further, you get, for example, Diane Halpern, psychologist, this towering figure in our field. So naturally, I would gravitate towards what she says, but she says things like evaluating and analyzing evidence in the service of making decisions, so thought processes that lead to a good outcome. So that’s a little bit more practical, but it still doesn’t really make it so a given faculty member teaching in a given course can say this is what it looks like when students came in without a critical thinking skill and they leave with it. [LAUGHTER] And as with anything, if we don’t have that, then no surprise that we’re maybe not going to get there, or not get there as completely as we had hoped to. And so that’s one kind of set of, if not misconceptions, challenges or things that people often don’t realize when they wade into this issue of teaching critical thinking. And it follows from that, unfortunately, that we can have the misconception, that we can describe it to students and they’ll get it. I know, for me, I would be embarrassed to say how many years I taught, for example, Introduction to Psychology, which we pride ourselves on being like this is the critical thinking class. And even if you never take another psychology course, you’re going to come away with these great reasoning skills. And gosh darn it, I had a whole half of one class period that we discussed it, maybe, and it was on the study guide somewhere. So we think, “Oh, okay, I’ll just tell students this is important.” Say, “think critically.” And of course, naturally, they don’t know what it is either. And I can really see, in my mind, at least, how students could come away with the idea that critical thinking means just sort of criticizing everything indiscriminately. It means nobody knows anything, a total relativism, that no, that’s not what we want, or in its worst forms, it can read too as just like, agree with me. Like I can go and say, Look, “I’m a psychologist, and I’m pretty critical of the idea of horoscopes.” And if you think that your horoscope is going to predict your future, you’re not engaging in critical thinking, you’re wrong. So that’s what we want to get away from. And where I think that it can be this really great fertile ground for faculty if they step back and say, “Okay, what does this really mean at that more actionable level,” and then start to align instruction to that, because it’s gonna take a lot more than half a day, I’ll tell you that much.

Rebecca: Seems like you’re suggesting that it would be helpful for students to be able to identify specific behaviors or specific practices that we would identify as critical thinking. But if they know what the beginning, middle and end of an action is, [LAUGHTER] they have a better idea of what that looks like and what that feels like.

Michelle: Yeah, absolutely. And that’s also a pretty psychological way of coming at it as well. Like, okay, of course, this is something that happens in your mind, out of view, between your ears, but I want to see what happens on the page or the decisions that you do make in the world that align with what I would consider to be evaluating and analyzing evidence in a powerful way. And yeah, when we get into a little bit more of the challenges, I mean what I’ve laid out for faculty, and again, really drawing on a lot of research that’s been out there for a while, even beyond that defining issue, which, yeah, that’s going to challenge faculty. It’s going to get in the way of designing the activities. It’s going to challenge students. They don’t know what they’re trying to aim for to meet this thing that’s on the syllabus. It is also what I would almost call a cueing problem, or someone’s just kind of off the cuff, called a “when to” versus a “how to” problem with a lot of the skills that we are helping students develop. It’s “Okay, here is how you break this down. Here is how you conduct the statistical test. Here is how you read an APA style research article.” But this is something that’s like, “Okay, here’s how to find, for example, issues with correlation versus causation in the interpretation of a study.” Great, we can do that. But are you going to know to do that when you’re writing your paper? And even a more far transfer of that as you’re scrolling through whatever social media feed of choice is, and you get the like, well, I drank a cup of lemon juice a day, and now I’m healthy as a horse. [LAUGHTER] It’s sort of the same problem. Am I going to have that sort of inclination or disposition to say, “Oh, right, this is when I need to do this.” So there’s that. A lot of folks have talked about effort as well, part of this running theme of cognitive miserliness, that our brains and our minds really seem to run in high-efficiency mode, where we save time and save energy over getting to a more idealized solution. And also, as a lot of folks have talked about, a motivation to maintain beliefs, whether it’s a very profound thing, like, “I don’t want to critique this belief because it’s really foundational for intellectually or emotionally or spiritually,” or even just dumb things like, “Oh wow, I really want to buy this thing I just saw an ad for. And maybe I just won’t take a look at all those negative reviews,” or “I’ll assume that the reviews that all have these wonderful five stars are perfectly reputable.” So all of those things form quite a steep set of challenges for students and for faculty alike, right?

John: Very much so. And what makes it more complex, and I think you alluded to this, is that each discipline has its own definition of what critical thinking skills are. I remember I spent about 10 years on faculty assembly one semester where they were coming up with a new Gen Ed curriculum, and one of the main issues was, how are we going to build critical thinking into our requirements? And ultimately, it was left up to the individual disciplines because there could not be a consensus formed. Each individual department had a very good definition of what they believed critical thinking was, but it differed quite a bit from what other departments thought were important skills. So it makes it somewhat challenging for students when they’re faced with this wide variety of definition of critical thinking in terms of being able to develop those skills.

Michelle: What you’re describing, what a perfect example. I mean, it sounds everybody went in good faith, had this really strong set of ideas going in. But I don’t see this as just like, “Oh, there go the academics again… consensus… they can’t reach it.” I think that they were probably running into a real issue. And again, there’s a couple things at work here. I think that there’s also this sort of flawed metaphor that I think it’s flawed, and I think it runs through a lot of cognitive aspects of learning, of the muscle metaphor, of like, “Oh, there’s a critical thinking muscle in your brain, and if you just build it up, then it’s gonna be strong for a really long time.” And most things in the mind actually don’t totally work like that. They again, are more situated or contextualized. But I always say to faculty, I’m like, if we go in, we can sort of say, “That’s okay, that’s all right.” And hopefully more institutions will do what it sounds like may have happened more or less by default in this particular example of like, well, okay, we’re gonna go back to our colleges social sciences and so on, or we’re gonna go back to our individual disciplines and try to operationalize it there. So I look at it, and I see that this is a very rich spectrum. It’s like in business, I’ve been trying to compile all these different examples, and if I’m a business major identifying pattern that suggests some kind of financial mismanagement, don’t take the company’s word for it. What does it look like? One hears that’s critical thinking there. If I’m in healthcare, being able to look at relevant research findings, and try to translate that into selecting the right kind of interventions. Engineering has its applied systems thinking and so on. And so if we come at it the right way, that can be a strength, not a weakness, I think, and I may be a little unusual in that, but that’s what I come away with.

Rebecca: One of the things that you mentioned earlier about knowing like when to do a thing really makes me think a lot about a move in some disciplines, and I know this was true in design and art a bit is to focus a bit more on process rather than always on outcomes, so that you can see some of the thinking and really build in when to do things and when to implement particular techniques to work towards a particular goal, and slowing things down a bit so that we could emphasize some of those things.

Michelle: I think that that is also a really important and strong approach. And here, too, I’ve heard across lots of different disciplines as well, sitting with faculty and kind of grappling with lots of, to me, interesting teaching issues. They’ll say like, “Okay, yeah, I taught that how of how to work their problem,” or, like, “if I’m teaching students how to do statistical analyzes in their research projects,” like, “Okay, I can go through and conduct the steps for a t-test or an ANOVA and so on.” And I’m not dismissing that, that’s important stuff that is important to be able to do, but I’ve heard so many variations on “But they can’t set up the problem. Once it’s set up, we’re good to go.” And that’s where, instead of kind of saying, “Ah, our students can’t,” well, what are their opportunities to do that? So let’s build in more of those really messy this is more about watching you do it and having you explore different approaches then you have to check all the boxes exactly right. There’s a time for checking all the boxes exactly right. Again, not knocking that, but yeah, of putting our students more systematically in those situations, we might see some real growth there.

John: One of the challenges, I think, that we’re facing is that we’re seeing so much misinformation being shared on social media and AI tools provide increasingly realistic, deep-fake multimedia files with audio and video. And there’s a lot of politicians out there who seem to have little regard for centuries of science, for example, where they are questioning things like whether or not vaccines are useful, despite over a century of evidence on this. How can we help students develop their critical thinking skills they need to navigate this environment where there’s so many opportunities to be misled by all this information.

Michelle: Oh my gosh, yeah. You’ve really brought this together, and it’s such a powerful way. I mean that really says it, right? And as you’re describing this, absolutely. Talk about a perfect storm. Talk about an absolute perfect storm. So here we have something that runs off of low effort, and I don’t buy into it, like, “Oh, people these days are cognitively lazy.” I think that’s just an overriding feature [LAUGHTER] of human cognition that I feel like, if there have been changes, that’s been a drop in the bucket, but I do have access to something that is incredibly easy to use, click it open, start scrolling. And so it really biases us towards low effort. It biases us towards speed too. I mean, Instagram has never kind of been my thing, but those who really like it, it is amazing how that that’s what is sort of designed into that system, the ability to just whiz through and visual processing is so fast, and that’s great and all, very entertaining. But here I am in that fast, quick, low-effort mode, as you said, it’s now multimedia. That is also what makes it so compelling, is the visuals and the audio and “Oh, guess what just came along?” Really great ways to fake that. And is anybody else doing it? Is there that? Can I see anybody else who’s cueing me and saying, You know what? Maybe we should authenticate this video before we post it 48 million times? No one is. And last of all, you’ve thrown motivation to maintain our beliefs into the mix. Wow. And so if I am inclined, if I’ve always had a bad emotional feeling about vaccines. And I’ll just say that, as a psychologist, I kind of think that that’s where some of it comes from. Vaccines are weird. They’re not pleasant [LAUGHTER]. They’re okay to think about, and I haven’t liked it. I don’t want to get one. Last year’s flu vaccine made me sick and made my arm hurt. I mean, it does not take much to knock me straight off into. To okay, I’m posting it, I’m believing it, and that’s where we are. So that’s what I see when I kind of spin that scenario out. So there’s lots of things that we can look at as far, and we’ll probably delve into a little bit further, as far as kind of the instructional strategies for critical thinking. But in this one instance, let’s take that perspective of instead of starting from 50,000 feet with critical thinking of, let’s have a general definition and then try to figure out a way to have it filtered down. Let’s do bottom up. Let’s say, “You know what? If critical thinking looks like stopping the feed and before I hit post, if it means at least some proportion of the time I ask about authentication, if I’m applying what I should know about the potential for AI deep fakes. If that’s what it looks like, then that’s the practice that students will need.” And I would throw it out to the ever creative and always innovative faculty across disciplines to say, “All right, if this is something that is relevant to thinking in your discipline, or something that you just want to reinforce in your students, how can we have students exercising that and build that from the bottom up?” And then maybe that 50,000 foot view of critical thinking and that bottom up, “Okay, I learned to at least process my feed in a more critical way. Now I’m looking at how I read things. Now I’m really looking at media literacy and so on, and so maybe those things will meet in the middle.” This is an audio only podcast. I’m making all these gestures here, [LAUGHTER] my little hands getting closer and closer together, but that’s what I see when I look at that issue.

Rebecca: I hear a lot of scaffolding and backwards design in what you’re suggesting. Can you talk a little bit more about some of these practical strategies that we can use in the classroom to address critical thinking?

Michelle: Yeah, and it’s another really tough one to communicate with faculty maybe why I’ve been so like, squeamish in some of my work with them, just because you kind of have to start with a negative message. And that’s why I share of like, “Oh yeah, me and my whole one half of a whole day on critical thinking,” because that’s the thing. you first have to know, this is a big, long journey, and I’ll throw out a metaphor. Some of you know that I spent a lot of time here at the Grand Canyon in Arizona, and I’m always on forums discussing all the big hikes and so on and what we always see is like, “Oh my gosh, I’m gonna go to the river and back. I’m gonna hike from the north rim all the way to the south rim. What am I in for?” It’s like you need to know that this is gonna be no walk in the park. [LAUGHTER] Really wrap your brain around what’s involved with this. Worth it? Totally, absolutely, an incredible accomplishment if you get there. So hopefully I can infuse a little bit of that spirit in it. So first of all, go in forewarned, don’t walk to the bottom in 110 degrees with one bottle of water and figure it’s going to be okay. So with that, yeah. And then reflecting, we always want to do this with thinking skills. But again, backing up and saying, “all right, what does this look like?” Free yourself as much as you can from “Oh no, it has to look like somebody else’s definition.” Or is this general or all encompassing enough? Just really get concrete about that, and then focusing on the why. And that’s also been a running theme here. When you talked about process, that to the extent that things do work, and there are no silver bullets in this arena. We don’t have anything, [LAUGHTER] unfortunately, like that. But to the extent that there are things that we can say, yeah, that was really effective, it’s where the focus is on the why and not the answer. Whether it’s just a multiple-choice question of, “Hey, if you got a question wrong, come and explain it or discuss it and maybe recover some of your points,” or something very, very big, like we’re having a big debate in class about two approaches to an issue, and one of the big things I’m going to want to look at is your reasoning. And sometimes this is talked about in cognitive psychology as focusing on the deep structure of a problem. So all those kind of things that make similar problems link them together, like all those correlation versus causation problems that I can see as an expert, but the novice is just like, these are all totally unrelated [LAUGHTER] instances, but when you start to say, “Okay, but here’s the sort of working parts underneath that, the mechanism,” that can move the needle a little bit. And direct practice. Students almost always need more practice over time. And the research that’s out there that I’ve seen is showing like more like a couple of months of practice [LAUGHTER] instead of a couple of hours or a week or two. So if that’s what we mean. So practice, practice. And lastly, that motivation to maintain beliefs. That’s a really tricky one. Most of the folks in the field seem to say you got to take careful and indirect approach. If I come in again and be like, “How could you think that horoscopes [LAUGHTER] could possibly…?”, you know, if somebody asked me my sign on a first date, that would be the last date. [LAUGHTER] You come in with that kind of attitude, well, naturally, people shut down. So going with respect and sometimes asking the questions of, “why?” Okay, so explain to me how this works. That can be a better thing than just mowing it down. So be direct in the practice, and be indirect [LAUGHTER] and use a light touch when there’s a possibility of those kind of things that are maintained by motivations.

John: One of the things that’s been happening is that with the increasing use of ChatGPT and other AI tools, there’s a lot of concern that students are using it to offload some of the cognitive processing that they might normally do while they’re reading texts or analyzing materials. And there was a study by Michael Gerlich at this Swiss Business School earlier in January that found that students who used AI tools more, tended to do a bit more cognitive offloading of these tasks, and that there seems to be at least some correlation with the decline in students’ critical thinking skills when they rely, to a greater extent on AI. What types of learning activities can help students develop critical thinking skills so that they can more critically evaluate the types of output they’re receiving from generative AI tools?,

Michelle: Yeah and here too, that could further decompose into different multiple issues. There’s critiquing output you get. And I’ve heard some really clever assignment ideas where that’s part of it is like, “Okay, go ahead and generate this essay,” like I heard a professor, there was a very cliched topic [LAUGHTER] that her students were always coming back to, and instead of just forbidding it, she’s like, “Okay, have ChatGPT write that essay, and then you critique it.” And then there’s the more process oriented: “Here’s the process that I want you to engage in,” for example, reading and evaluating, say, research studies in psychology, the way we do a number of my classes. And the alternative is stick it and say, “ask ChatGPT to give you the [LAUGHTER] talking points from the article. So part of it is going to depend on what exactly do we mean, but I did want to really address too, or come back to, the study with the correlation between use of AI tools and cognitive offloading, in particular, and then critical thinking skills. This is a research area that absolutely I hope that we kind of build out on. But there’s some things that I have curiosity about and want to kind of at least have people pump the brakes a little bit, because this is one of these dynamics that can happen, maybe a little bit of motivated reasoning here. If I like, “Ah, AI, is this issue in my classes? I’m really wrestling with it. We’re wrestling with it on campus. Oh, AI, kills critical thinking.” And this is the dynamic that I feel like we’ve seen a little bit before, for example, with the flap over laptops and whether those degrade learning. And boy, people ran away with that in ways that were not supported by the original study, and then even with what the author [LAUGHTER] said about the study. So a couple of things that we should keep in mind with that research, which, again, I’m really glad they conducted it, and I hope there’s more research like that. This is not a laboratory study where we’re assigning people to groups, of course, and saying, “Here’s what happened to critical thinking abilities,” and this was a multi age study. Was also we want to be cognizant this wasn’t like in a class or educational setting, for what that’s worth. There’s a lot of self report here. I always have an issue with that in lots of research on technology. So if you ask people, how often do you use AI to, I think, it was answer questions or solve problems, which also a couple different things are covered there in the original study. If you just ask people that, I don’t know that people can track that, that’s different than actually measuring that. It’s a start. But know what you’re kind of getting there. And I mean cognitive offloading too. This is the thing I’ve really noticed this tilt towards interpreting cognitive offloading as a bad thing, and that I don’t think is in the spirit of how it was originally intended. It can sometimes be a good thing. It’s a neutral thing. And everything from using Post-It notes to GPS on your phone to using an abacus or counting on your fingers are all instances of cognitive offloading. So this is not something [LAUGHTER] that just started. So there’s a couple of things there. So does it predict a decrease in critical thinking skills? And again, here, this is self report using some good measures adapted from decent established instruments. But here, again, we weren’t watching to see okay, here’s students who are actually grappling with academic problems or making decisions in real life. So I would absolutely encourage folks get out there and read the study itself and make your own decision, also it’s very much in the spirit of what we’re talking about here. So there is that. But I do think that a lot of experts who are looking at the development of AI in higher education, they’re all saying some variations of the same things, like, you can’t send students home with something and say, here’s a really difficult effortful thing that I know is important for you to engage in. Maybe you know that, maybe you don’t. Here’s a trap door [LAUGHTER] that you can evade the entire thing with AI. You cannot assume that students are going to get what they need to get out of that assignment anymore. So that is a real question that we had. So let’s not run away with the idea that, “Oh, AI is there, and it’s going to destroy critical thinking by its very existence.” But let’s really be thinking through what we’re assigning students to do. And I’m hoping we’ll hear more from faculty, sort of in the field, say, “You know what? I was really transparent with students, and here’s how I got them on board with ‘Yeah, we’re actually going to read these articles, even though ChatGPT can summarize them for you.’“ Or here’s how I just closed that trap door up and actually made it work that way. So that’s a complicated take on a complicated issue.

Rebecca: The onset of AI in teaching and many other things have led to a lot of faculty overwhelm around a wide variety of topics, and AI is certainly just one of them. Have you seen this? And are there things that might help faculty as they navigate new technology, new policies, many new things in their work?

Michelle: Yeah, and the issue of overwhelm, I mean, this is one that just kept coming up into my mind again and again, as I’ve done at least my first little modest set of things that I’ve written about and shared with folks. A couple of things, and some of these are going to, no doubt, rub some people the wrong way, but I’m going to put them out there anyway, because I think they’re a really practical way to go. The first thing is, I think that a really important starting point is always going to be our own professional practice, and again, discipline independence, just like critical thinking, it’s really hard to say, “Okay, make sure you evaluate evidence and make that somehow stick across a curriculum.” I’ve really pushed against the like, “Well, there’s an AI future and AI workplace,” and I don’t know what that is, but I can prepare students for careers that are related to psychology and future lives that are very well informed by all the wonderful things that psychological science has revealed for us. That I can do, and I do that every day, and so really kind of narrowing, in a good way, the focus and the scope here. I hope our leaders are getting this message as well. We’ll put out fewer of these like, here’s “AI for everybody,” and more like, “Okay, I want to know how you’re going to be preparing students in social science for uses of AI that are appropriate to them in the future.” And part of that is getting in there and using the tools yourself. And I will tell you one really important thing, even more so, believe it or not, than all the other ed tech I’ve seen come and go [LAUGHTER] over the years, the level of hype and over claiming that seems to just get by is astonishing, and it falls apart very rapidly when you sit down with the tool yourself. And I think that’s where we faculty will actually really, really shine. I won’t name too many names right now, but like, “Oh, wow, AI can do that for me.” And that’s terrible. I’m not gonna recommend this to my students. And other ones where I am like,”Oh, okay,” and only a disciplinary expert knows this. And to give like, an example, I was working with a faculty member in a workshop. She was in pharmacology. Wow, talk about something that’s way out of my field, and so I’m a little odd. And she talks about “And I made this assignment, and part of it is to critique some AI output.” I’m like, “Oh, I know where this is going.” She’s gonna tell me that “Oh, AI is gonna tell me bizarre things about medications.” And now she’s like, “Oh no, no, no. I use it to generate some scenarios.” It was something involving, like rare toxins, a really cool assignment. She’s like,”Oh no, no. For this particular tool, it taps into this particular database. I happen to know that that’s really, really strong, and I haven’t seen a problem with it.” So that’s where we can really get in there and start to craft things. So you can start it at that level. And another really, probably unpopular piece of advice, but one that I think is important at this juncture, is, okay, we have these big questions of the ethics of AI use: How did this stuff get built? Who’s going to be regulating it? I think that’s incredibly important. And I would imagine that pretty much everybody listening to this podcast would agree with that, however, going and saying like, “I have to figure that out myself [LAUGHTER] before I start writing an AI policy for my syllabus” or trying some of the tools, so that I can talk intelligently to students about the pros and cons. That’s an issue. So I would say those kind of have to go on parallel tracks if we’re going to make some immediate progress. And I feel like, and I felt of myself initially, of like, “oh my gosh, all these big issues.” Well, that’s not my job to solve. It’s great if I can contribute to that and support solutions and approaches that I think are ethical, but I’m not the one who’s going to figure that out all by myself. So here’s some positive things I can do with my students in the meantime.

John: One of the things that Michael Gerlich suggested in that article is that in case there is some issue with a decline in critical thinking skills, we probably should assume that students are going to be experimenting with AI tools, and he suggests that maybe we should focus a bit more on training students to apply critical thinking to the output of AI, because if they’re going to use it anyway, we might as well use it as a tool to help develop these skills that we’d like to improve. Does that seem like a reasonable strategy at this point, with a lot of experimentation going on by a lot of faculty right now in trying to integrate this into their practices?

Michelle: Yeah, and I think higher education faculty are in a great position to do that, because from industry, we get this kind of kind of cutesy pooh, “Oh, it’s hallucinating.” It’s like, no, it’s wrong. It’s inaccurate. If this was a book, you would roast it in an Amazon review if it was just wrong. So we can get away from that. We can also not fall into the “Well, use it, but don’t use it, trust it, but maybe not so much.” And that starts to remind me of like all the terms of service. Like, well, read the terms of service when you click into something, but we know you do didn’t really. I have no patience for that. So really being able to nail down the limitations, and particularly, again, situated in these disciplines where we are incredibly skilled experts at knowing where it is likely to trip up and what sorts of mistakes are a problem and which are less of a problem and guiding students into that. So if we can design those ideas, and yeah, sometimes we can take it in another direction and use the power of the tools for our own purposes. And that’s also where I get a little nervous about the like, blanket, “Oh, AI will kill your critical thinking.” Well, I wouldn’t want a faculty member to say, “Well, then I’m not going to touch it, because if there’s any way that it’s sort of contaminated my assignment, that’s bad.” I don’t think we’d consciously think that, but it can start to imply that. So I’m looking back when I used to teach research methods, one of my assignments I was very proud of was their final exam was I wrote beginning to end a fake study with fake data that was full of all kinds of problems that spanned everything from study ethics to degrees of freedom in the statistics module. [LAUGHTER] So I had maybe two practices, and then, for their final example, they went in and spotted the problems. They didn’t have to spot all of them, but they had to justify and say what’s wrong with it. And students would go wild over this, even though they know that I made this thing up. They would go crazy with all these issues. And it was perfect, if not perfect, I loved it, because that’s what we want students to come away with, but the labor that went into that, and I find myself like reusing the same scenarios across semesters. Okay, we’re gonna have this one be practice, and it was just so hard. And today, every student in the class could have a new one every day, and so it could do that work. I come in and here we go. Here’s these rich scenarios with students grappling with the messy problems, focusing on the why, but in the middle of it has to be a faculty expert to make all that work.

Rebecca: There’s just some great points and great fun use of AI for sure. I know that I’ve used it for scenarios and other things in my teaching and in other contexts, as well as we work with leadership on our campuses, thinking about policies and other ways to approach AI and making sure that we’re not losing sight of critical thinking and any kind of deep thinking [LAUGHTER] what kinds of recommendations should we be making?

Michelle: Ah, for leadership, and I love it, the receptivity to new ideas that’s definitely going to be key? Well, I’m gonna probably rehash a few of those points of be very careful about convening, like, say, a big, expensive task force to find the one consensus, to converge on the one solution. There are probably situations where that is absolutely what needs to happen. But one of the things that I think we’ve seen, too, you don’t really like to talk about it that much, I don’t think, but higher education is spectacularly unprepared to deal with just the pace of change here. And yeah, partly, industry is sort of driving the bus and the pace of change, and we don’t always have to accept [LAUGHTER] their timelines. But the fact of the matter is, is that you go to sleep, you wake up, and there’s a new version of something, [LAUGHTER] and so I was really surprised. I shouldn’t have been, but I was pretty surprised by, like, how it unfolded in my local context, and just among what I could see of, like, “Okay, here’s a little PowerPoint that I can take around,” and then two weeks later, I’m like, “I can throw that away?” I’m not used to that. [LAUGHTER] So, yeah, higher education, our deliberative nature is not a bad thing, necessarily. That’s good. It’s kind of like that’s what you pay us for, is to take the long view that’s grounded in a lot of evidence. But in this o ne instance, it makes it really, really hard for us not to feel like we’re flat footed. So beware of those sorts of things, and it’s demoralizing for faculty who well meaning, they’re interested in this, they’re excited about it, they want to contribute, and they spend four months doing something they can’t see how it played out. So my gut tells me that going for that college level is going to be important. So maybe I don’t want to chase down every single department or every single course to say, “How is AI going to be involved here, especially around critical thinking issues,” but saying, “Okay, the School of Engineering, or the School of Earth Sciences, the School of Social Sciences, Literature and Humanities, however, it’s sort of organized.” I think that that’s a pretty powerful sort of organizational approach there. And that’s something where too, it’s enough to where we can get some multiple voices in there and get some buy in, but it’s specific enough to where I’m not trying to align what I’m doing in psychology with something that people are doing in art history, with what forestry is doing, which, again, I think is really gonna neutralize us if we try to take that approach. And also dividing it up. The last thing that makes this such a hard thing for us is that it’s just so inherently multifaceted, much more so than, for example, even when learning management systems came on the scene and we’re like, “Okay, do we require everybody use these? Which one do we want? How do we pick? How do we train people?” At the very bare minimum, we got to kind of separate out academic dishonesty is over here, and it’s got its own little set of policies, and let’s set a team working on that, and positive uses and preparing students for that workplace of the future, and so on. These are separate issues over there. So yeah, be prepared to go in and just say, “Okay, two separate things, we’re gonna deal with them two separate ways.” I can’t imagine trying to sit at home on a Saturday and craft some long email that is somehow going to bring clarity to all the different aspects of AI. And I’m wondering if there’s any sort of resonance or spark of recognition there, as leaders, that you might see.

John: Do you have any other suggestions on how we can help students develop their critical thinking skills.

Michelle: One little theme that pops up from time to time in all the great stuff that’s been written about critical thinking, and one that I think might be worth its own special mention, is an element of what you could call intellectual humility, or even, I guess, the flip side of that too, is curiosity. Think of me with kind of cutting down some student over horoscopes in my class, even though I find the basis for that in psychological sciences. If I do not care at all about why a student believes that, or what it might add to their lives to believe in, I mean, maybe it’s just something fun that is like a little Rorschach test that I wake up with every morning. If I have no interest in that, and then I’m also not demonstrating critical reflection, nor am I setting a good stage for a discussion that foregrounds critical thinking. So yeah, and that is our big challenge to faculty with our incredibly developed intellectual abilities to balance that. Yeah, evidence is important, and some facts can be right or wrong. There’s different ways of interpreting them, but here’s some areas where they have to support the analysis, balancing that with all right and I could be wrong. I could have a cognitive bias of my own that I’m not as aware of right now. I kind of have to be on the lookout for always checking myself as I’m scrolling through that feed or going through those reviews for the thing that I really do want to buy, no matter how many one star reviews that the company suppressed. I need myself to get in the habit of doing that, and then I can model that for my students, and again, set the stage for more productive discussion. So I’m hoping that more research also gets into that too. What is that wonderful, magical balance of really valuing evidence and reasoning and then realizing and I could be wrong?

Rebecca: Well, we always appreciate, Michelle, conversations with you. I know I always leave thinking a little more deeply about whatever we’ve talked about, but we always wrap up by asking, what’s next?

Michelle: Oh, thank you, and you all as well. Even just kind of looking forward to this conversation has been such a catalyst to revisit topics and say, “Yeah, this is something that I really want to be doing more in.” And so that’s going to be a bit of a what’s next. I have a sabbatical year right now, and I’m kind of trying to do what one ideally does, which is say, “Okay, what do I refocus on?” And so I’m really at that very early stage of continuing to design ways of studying, interventions that I could then share with faculty, and just getting an ever needed sense of the lay of the land in this area of critical thinking. So you can definitely look for more on that. And in fact, for folks who might be considering attending an in-person event, I am going to be speaking at a couple of upcoming events where I know that I’m going to be talking about this particular thing, again, Rocky Mountain Psychological Association for the psychologists out there, my people. If you want to come out, I think it’s in Denver this year, I have a featured session. So that’s coming up. I’ll also be speaking at the Teaching Professor Conference, which is in, I believe, Washington, DC, over the summer. Some of your listeners may be regulars, or maybe thinking about that. So that’s a big “what’s next” item? I continue to work on this big writing project on attention. It’s still at this kind of embryonic, or if not embryonic, partially formed stage, where I’m still working on it. But folks can watch this space for more on that, and that is actually related. I will tease a little bit, that attention, what do you know, gets involved in critical thinking, because it is involved in pretty much all other interesting cognitive processes that take place in the mind. So that’s my big what’s next?

John: Well, thank you. It’s always great talking to you, and again, as Rebecca said, it always spurs some new ideas and some new thoughts on these topics. So, thank you.

Michelle: Thank you. You as well.

Rebecca: I look forward to your upcoming work.

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John: If you’ve enjoyed this podcast, please subscribe and leave a review on iTunes or your favorite podcast service. To continue the conversation, join us on our Tea for Teaching Facebook page.

Rebecca: You can find show notes, transcripts and other materials on teaforteaching.com. Music by Michael Gary Brewer.

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385. More Than Words

Many students use generative AI tools to complete writing assignments. In this episode, John Warner joins us to discuss what may be lost when they do so. John has twenty years of experience teaching college writing at five different institutions and is the author of 8 books encompassing a wide variety of topics including political humor, short stories, and a novel, including Why They Can’t Write: Killing the Five-Paragraph Essay and Other Necessities. He writes a weekly column on books for the Chicago Tribune and an associated newsletter, The Biblioracle Recommends. John is also a contributing writer to Inside Higher Ed. His most recent book is More than Words: How to Think About Writing in the Age of AI.

Show Notes

Transcript

John: Many students use generative AI tools to complete writing assignments. In this episode, we explore what may be lost when they do so.

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John: Thanks for joining us for Tea for Teaching, an informal discussion of innovative and effective practices in teaching and learning.

Rebecca: This podcast series is hosted by John Kane, an economist…

John: …and Rebecca Mushtare, a graphic designer…

Rebecca: …and features guests doing important research and advocacy work to make higher education more inclusive and supportive of all learners.

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Rebecca: Our guest today is John Warner. He has twenty years of experience teaching college writing at five different institutions and is the author of 8 books encompassing a wide variety of topics including political humor, short stories, and a novel, including Why They Can’t Write: Killing the Five-Paragraph Essay and Other Necessities. John writes a weekly column on books for the Chicago Tribune and an associated newsletter, The Biblioracle Recommends. John is also a contributing writer to Inside Higher Ed. His most recent book is More than Words: How to Think About Writing in the Age of AI. Welcome, John.

John W.: Very glad to be here. I’m a longtime listener and fan.

John: Well, we’ve been a long time reader of your columns and your other work. So we’re very pleased to have you here.

John W.: That’s great.

John: Today’s teas are… are you drinking tea by any chance?

John W.: Not at the moment I was earlier, I have sort of a post-lunch tea to keep me going. And post lunch, it is green tea, breakfast, I’m a black tea guy, and I’m into tea because this is a strange true fact about me. I’ve never had a cup of coffee in my entire life. So I’m only a tea drinker as far as warm caffeinated beverages go.

Rebecca: There we go. A true fan, [LAUGHTER] a true fan, unlike all those pretend tea drinkers [LAUGHTER] who drink coffee all the time on our podcast.

John: …and Diet Coke. [LAUGHTER]

Rebecca: Yeah, and Diet Coke, right.

Rebecca: I have English Afternoon today, although I was drinking a Christmas blend earlier to match our winter blizzard that we’re recording in.

John: Yes, it’s mid February here, but it’s been snowing about a foot or so or more of snow every day for the last week, it seems. So, that is very fitting. And I have an Earl Grey today.

Rebecca: Classic.

John: Yes, from Tea Forte, so it’s in a nice little pyramid.

John W.: Oh, wow.

Rebecca: So John, we’ve invited you here today to discuss your most recent book, which focuses on writing in the age of AI. You begin the book by describing initial reactions to the potential impact of the introduction of ChatGPT on writing. What was your initial response to the release of ChatGPT?

John W.: This may sound strange coming from somebody who teaches writing and has taught writing for a long time. I was concerned, but I was simultaneously excited. I saw it as an opportunity rather than a pure threat, because for many years, and people can go back to my archives at Inside Higher Ed, I’ve been lamenting the way writing is taught, not just in college, but prior to college, as a sort of formulaic exercise in filling in prescribed templates. And my experience as a teacher mostly of first-year college writing was that my students came in not with deficient skills around writing, but cramped attitudes about writing, where it’s not that writing was hard, it’s more that it was boring. They’d done the same thing over and over again, and couldn’t find any sort of intellectual interest or stimulation in writing. And I saw writing as the opposite of this. And so the fact that ChatGPT can churn out a five-paragraph essay in seconds, and it’s highly proficient at these things, to me, was an opportunity for us to examine our priorities around the kind of writing we ask students to do in school, and maybe even more importantly, than the kind of writing they do, the way we assess that writing, the values we bring to how we assess that writing. Has that been borne out in the two plus years since? …not as much as one would like, but that’s one of the reasons why I wrote More than Words. And there actually are some encouraging signs around these conversations, that we recognize both the limits of asking students to write like algorithms, which is what a five-paragraph essay format does, and the limits of the syntax generated by a large language model like ChatGPT, that there is space for humans to still write. I’ll believe this until they drag me off the scene, [LAUGHTER] but I think more people are seeing this. They maybe don’t have the kind of background or experience that allows them to really think deeply about it, but they sense that there’s a problem associated with outsourcing all this stuff to ChatGPT.

John: One of the things you write about in the beginning of your book is how Daniel Herman, in an Atlantic article, argued that ChatGPT would be the end of high school English. And as you’ve already indicated, that’s something that you welcome. Could you talk a little bit more about what’s wrong with writing in the K-12 system, this sort of mechanical system that’s become really standard for the last few decades, I think?

John W.: Yeah, it’s not that I want to not have high school English class. I think we should have more of those. But it would be great if high school English got back to helping students learn to think and relate to written texts, including literature, including whole texts, like books, as opposed to extracts that can be tested against quite easily. And really this is the sort of core of the problem. The standardization of instruction around something like a five-paragraph essay is driven by the standardization of curriculum around demands related to accountability measures that have been a long-term aspect of the so-called school reform movement. In my previous book, Why They Can’t Write, I sort of date it to the A Nation at Risk Report, which came out during the Reagan Administration when I was in middle school, where they were worried about a rising tide of mediocrity in the nation, of which apparently I was a member, because I was in eighth grade, and they were certain that Japan was going to eat our lunch because of the Sony Walkman, basically. We’re not making the Walkman, they are, and so we need to get on with this. This is the Sputnik moment of my generation, and it sort of began what is not ill meaning, right, like the idea that we should be able to measure what students are learning and be able to know where additional interventions should go in terms of schools or districts or students, is all very sound thinking, but it became, over time, an exercise in a concept known as Campbell’s Law, which is essentially a social science precept where once the measurement becomes the goal, it’s no longer a good measurement. And that has happened writ large in education in all kinds of different domains, and writing is one of the sort of most obvious manifestations of this, where we allow the creation of a five-paragraph essay to stand in for writing ability and writing experiences, and it just isn’t. Writing a five-paragraph essay is not the same process as writing something for an audience inside a full rhetorical situation. And so we now have a couple of generations of students who have really, in some cases, only experienced this, by their own testimony. They’ve written these forms over and over. And then they would arrive in my first-year writing class in college, and I would pull the rug out from under them and say, “none of this is useful.” They had been told explicitly, you have to do this so you can do it in college. And then I come in and say, “That’s all wrong.” These disconnects were what motivated Why They Can’t Write, and More than Words is motivated by my concern that now that we have this tool to which these forms can be outsourced, we’re going to forget to actually teach students to write.

Rebecca: So as you’re talking about the evaluation of writing, and earlier, you mentioned the values in writing and how they have changed, maybe need to change [LAUGHTER] again. Can you talk a little bit about what we should be valuing in student writing?

John W.: Yeah, I have long believed, long before ChatGPT showed up, that students should write in genuine rhetorical situations of message, audience and purpose. That audience should not be the teacher unless the teacher is an authentic audience for the thing they’re writing, which could be the case. We could be communicating something to a teacher as an audience, rather than teacher as assessor or grader. I think this is a good idea for a lot of reasons, one of which is students are much more engaged by these challenges than they are when writing for agrade, they’re much more authentic to the work they will do in other classes or outside of school once they graduate. The goal, as I put it in Why They Can’t Write and another book called The Writer’s Practice, is to develop their writing practices, the skills, knowledge, attitudes and habits of mind of writers. These writing practices, they’re then transportable to new and novel writing problems that they’re going to need to solve. It’s just much more flexible. It’s much more useful. And really, what I realized over the course of my teaching career that I wish somebody had told me before I started teaching, was that I had been lucky enough to develop this writing practice, sort of on an ad hoc basis, through the course of my education as an undergraduate, as a rhetoric major, my graduate studies in creative writing and English literature, and then a job at a market research firm where I had to learn how to write things like focus group reports and questionnaires, forms that I had no prior knowledge of, but which I realized were amenable to the same process I used to also write a form that I was not familiar with when I was in graduate school, which was a 20-page explication of a single poem. I didn’t know how to do this, but I could fall back on my writing practice that allowed me to do it, and I realized I had been given this great gift of a writing practice without anybody knowing it. And so my mission became to try to help students see that they could develop a writing practice. So those values are really just around the things writing is: the act of thinking, the act of feeling, the act of communicating. This is going to sound like I’m simultaneously tooting my own horn and of being a little coy about myself, but I did an interview recently where the interviewer called my work groundbreaking, and I laughed. And he asked why I laughed, and I said, there’s no groundbreaking. I’m doing what I was taught in grade school. It’s just that we have gotten away from these values around writing and so that it feels groundbreaking is really ironic to me, given that I think they’re fundamental, but we have to agree at the values level that these things are fundamental, otherwise we will be stuck in the same rut we’ve had, only now we’re letting ChatGPT solve these problems for us, rather than making students write these sorts of formulaic essays.

John: I also went through a school system where there had been no discussion of a five-paragraph essay. I didn’t run into that until some colleagues started talking about how students were not very good at writing these five-paragraph essays. And I wondered where that whole concept came from, because I remember when I was moving through, a little bit earlier than either of you were, but we had a wide variety of writing assignments, and we also did an awful lot of reading. And one thing that I think has been lost along with a decline in writing or with a shorter form more formulaic writing, is that students are not asked to read as much, and I think that’s also been affecting their ability to write, because engaging with multiple styles of text in reading can be really helpful in developing as a writer yourself.

John W.: It’s absolutely necessary. Reading and writing are inextricably related to each other, like the skill of interpreting reading across all kinds of different genres is the internalizing of the message. Like this is how this is delivered, and then we’re going to do this in turn. We are of a certain age. Those of us who are of a certain age did not encounter the five paragraph essay. My first encounter was in high school when I was taking AP classes, and I was coached to use this form to pass the AP assessment. And my first thought was, “Well, this is dumb, like this is the easiest thing I’m going to do all year is write these AP essays.” And indeed, they were. I dedicate Why They Can’t Write: Killing the Five-Paragraph Essay and Other Necessities to my actual grade school teachers, because in hindsight, I realized how fortunate I was by the accident of my birth and my parents to grow up in a Chicago suburb and go to my neighborhood grade school at a time where the teachers were given the freedom to engage their students, and I still have my fifth grade writing portfolio that my mom saved. If this was a visual podcast I would show it, but it’s called 12 stories, and it’s laminated construction paper cover tied together with hole punches, tied together with yarn binding. And if you look at those artifacts, none of them are a five-paragraph essay. They are all in some way asking me to solve a writing problem in a rhetorical situation. There’s the classic Thanksgiving assignment where you draw a picture of a turkey by tracing your hand and decorate it, and then for each letter of Thanksgiving, like T, H, A, et cetera, you have to give something you’re thankful about. There’s a limerick. There’s a haiku. There is a number of different genres of fiction, science fiction, historical fiction, which required us to read those forms, to understand them, and then produce them in the image of the original form. This one totally cracks me up. There is a classified ad that you would read in a newspaper for my skateboard. And so it’s like “Used skateboard, blue works good. $2 or best offer.” [LAUGHTER] Actually, it doesn’t say “or best offer.” It says “OBO,” which is the shorthand you would use in a classified ad at the time, because you paid by the word. That is rhetorical problem solving, that is internalizing how to think about audience as you write. This was fifth grade, and sometimes I can’t believe what we’ve done to students in the name of helping them try to prepare them for quote, unquote, college and career. We’ve really, in a lot of cases, done the opposite. And I know it doesn’t need to be this way, because I lived through a different time. I know something else used to be done. When I wrote Why They Can’t Write and went back and did all kinds of research, and I found articles dating back to when I was in grade school and middle school about some of the things I would later do that don’t help you learn to write, things like diagramming sentences, which is a valuable exercise in critical thinking, but doesn’t help you learn how to write or research papers. There’s a report from 1984 by this guy, Richard Larson, who wrote about how asking students to do research papers in high school is a fake genre, because you can’t actually ask high schoolers to do a research paper. Now, if the goal is to help us learn to use the library, or the card catalog at the time, that kind of stuff, that’s one thing. But if you think they’re doing research, you’re kidding yourself. And these are the things we need to know so we know what are students actually experiencing when we ask them to write in our classes. We have to think through that. It doesn’t mean that we should abandon whole genres or not have them do things ChatGPT can do, but if we’re going to ask them to do it, it has to be rooted in something meaningful. And to your point about reading, my superpower, which I don’t think of as a superpower, because it’s just been something I’ve been able to do since I was quite young, is reading texts for extended periods of time. It helps me with concentration, helps with my mood, [LAUGHTER] it helps me learn things. And the fact that we have allowed school to get away from that clearly important underlying skill, which is also a practice, which also has habits, which also has attitude, also has knowledge involved, is sort of tragic, and it’s a real heavy lift to get away from it. But it is, I think, like the thing honestly, to tackle if we’re going to help students become the kind of people they wish to be. Like, honestly, I think if we still read whole books, the distractions of cell phones and these things we argue about would be significantly less. Like, don’t get me wrong, I can be distracted by my cell phone like anybody, but I also know how to put my cell phone away and get lost in a writing or reading task for hours at a time, because I have that embedded in my practice. If students have never had that in their practice, and we’re asking them to suddenly engage in this behavior, we’re looking at trouble

Rebecca: Reflecting a little bit on your portfolio, John, and I’m thinking about the one that I also have from fifth grade, except at that time, I think I was also really exploring my design skills, because it’s hard bound…

John W.: Wow.

Rebecca: …and I made a full cover and bound the edges with thread, and all the things,.

John W.: That’s awesome, I mean my fifth grade portfolio is shameful because I had horrible handwriting. I always got “needs improvement on my handwriting” in my report cards and my artistic abilities are non existent, so that part is awful. But to your point, the opportunity to engage in even that relatively small instance of self expression in the context of something you did in school just strikes me as vanishingly rare in today’s culture of schooling, and not for the better in any way.

Rebecca: I was also reflecting on your mention of reading to change your mood, and I’m realizing how much I’ve really read since the beginning of this year, probably for the same reason. You argue in your book that ChatGPT just does text generation and not writing, because writing involves thinking and feelings. How do we convey this to our students and maybe to our colleagues?

John W.: Yeah, the only way to do this is to experience it for yourself. And my hope is somebody teaching in higher education, regardless of discipline, has had the experience of writing as thinking, which I like to talk about as the simultaneous expression of an idea. You’re trying to capture something that’s in your head and put on the page, but it is also the exploration of an idea. So as we are writing, we have this notion that we’re trying to capture, and often that notion shifts as we are writing. That’s the exploration of the idea, and that is by itself, the best and clearest manifestation of critical thinking that I can imagine. In fact, as the way I assessed writing evolved, I would have assignments where that was the only criteria. It was have a thought [LAUGHTER] while you’re writing. So the thing students were writing, it wasn’t that it was unimportant, but what they were actually assessed on was the later reflection about the thought they had while they were writing. Could they articulate to me the experience of thinking they had while they were writing this particular artifact, because I knew once that had happened and they had had that experience, it was something they could return to again and again and again, recognizing that there’s a difference between I’m just sort of going through the motions to get words on a page to satisfy a grade, and writing as an act of thinking and development and not only capturing our thoughts, but developing those thoughts as we go. So that’s the only way it can be done. But if we’re going to do it in school, we have to prioritize it, and in terms of feeling, it’s kind of the same thing. And I write about some of the stuff in my book, where I write about my own instances of being like, as weird as this sounds, emotionally moved by my own writing, because I’m conjuring something for myself and my memories or my life that is meaningful to me, but it can even be something small that upon reflection, we realized this writing was meaningful. I think I have this anecdote in the book; if not, I should have put it in there. But it was during the pandemic, I was grocery shopping and on the floor, and we’re supposed to keep our distance and only go one way in the aisles, it was that period, and on the floor, I saw a yellow post it note that clearly had somebody’s shopping list on it. And I picked it up. It had a bunch of items, but one of them was “cherry Pop Tarts” in all caps with three exclamation points, underlined, and I just had this sort of moment to myself. I said, “those cherry pop tarts are very, very, very important.” And reflecting on it later, I thought of the person who’d sort of put that notion in the list writer’s mind. But I also thought of the list writer, sort of, particularly at that time… we can remember how fraught everything felt… going to the grocery store knowing that the central importance of that mission was to come home with these Cherry Pop Tarts to help soothe the spirit of the person in their household who needed them. Writing a grocery list can be an emotional experience if we attend to it, if we’re aware of it. Now, it’s not like we can go around 24/7 having emotions over everything we write. That would be disturbing and inefficient, but everything we write has that potential, and I think we should be cognizant of it, and every so often we should pause and reflect on it. And to the extent that school does not allow room for that, again, is to wall students off from some important aspect of their intellectual, emotional, social, let’s say even economic development, all these things matter, I think, long term, and so we should give students a chance to experience them in their education. Because why not? What else are we doing with our time? If not that?

John: Along those lines, you’d suggest that pretty much everything that ChatGPT does is essentially like hallucinations. There’s a lot of discussion of hallucinations in getting things wrong, but you suggest that essentially everything it does is just predictive text which is devoid of meaning to the system itself, that it’s missing the human context. One of the things I was thinking about is you also had that example where you mentioned cinnamon rolls, and that ChatGPT could write about cinnamon rolls, but it wouldn’t bring up the same sort of connotations that people would have with that. What are students missing when they rely on generative AI to generate writing or to summarize readings that they’ve been asked to do, which is an increasingly common use of AI tools.

John W.: Yeah, the reading, quote, unquote, I’m going to put air quotes around reading when you talk about ChatGPT or large language models “reading,” but that is a burgeoning and worrisome application of this technology. Now it’s not like we should never ask a large language model to summarize a source for us. That may be useful to us, but we have to be very, very cognizant of the difference between what a large language model does and what humans do. When humans read and humans write, we’re having an experience, and that experience is encoded in memory, it involves our senses, it involves sort of a metacognitive process. Large language models do none of that. They are syntax generators. They can’t think, they can’t feel, they can’t communicate with intention. So if we’re going to outsource that to a syntax generator operating on probabilities, we have to be aware of what is being compromised in the exchange. Now, in some cases, that’s fine. If I’m going to go to Wikipedia for something, because I need some kind of background about a source or an idea or a concept, maybe I’m going to go to ChatGPT instead, although the risk of hallucination can make that fraught, because Wikipedia, while it is the product of flawed human beings, has been checked and edited in ways that make it significantly more reliable than a large language model. You guys know this, reading is fodder for writing. So if we’re going to need to write, ultimately write about something, failing to read it leaves me ill equipped to write about it, because the reading itself is where my ideas, my thoughts are generated. It’s sort of ironic that we call this stuff generative AI, because it really is like reading is truly generative, like it creates the conditions under which our thoughts can occur. And so I’m disturbed by some of it. Like, the deep research release that can supposedly put together a PhD level dissertation is BS. I mean, it really is, the only way you believe that is if you ignore what it means to write a dissertation. No offense, I’ve never done a dissertation. I don’t have a PhD. No offense to the dissertation producers out there, we don’t write dissertations solely to be read. In fact, if somebody wants to publish their dissertation outside of an academic artifact, they have to turn it into a book. Dissertations are fundamentally used to demonstrate an extended engagement with a type of thinking and knowledge creation. And so when I see somebody on social media saying, use this to generate your dissertation’s literature review, my top of my head lifts off and my brain orbits around the sun and comes back, because I cannot believe that this is something anybody would tolerate for a knowledge producing exercise and industry, and yet, I have seen real academics recommend these behaviors and the imperatives of speed and efficiency and productivity override our good sense around what is the meaning behind what we’re trying to actually do. And this is my concern, that speed, efficiency, productivity, these are not educational values, yet, they are the things that are often valued inside of higher education institutional frameworks. So all this stuff needs to be examined if we’re going to make truly productive use of this. If it isn’t just going to be like I can now churn out six articles are necessary. I’m going to turn out 600 now, because I’ve got my large language model cranking this up. I just ask folks, “What is the point of all of that extra stuff?” It’s just slop. We don’t need more slop. We need good, reliable, thoughtful human products. And I said this at the top, this is the gift of this technology to help us understand what humans should be doing, but only if we take advantage of the gift. We could squander it. And in a lot of ways, I think we are squandering it, unfortunately.

Rebecca: So along the lines of productivity and efficiency, you do note in your book about automating parts of the writing process, like moving from cursive writing to typing and word processing are beneficial, including other things in different processes, like calculators, GPS systems, et cetera. There’s ways that technology has certainly made our lives more efficient. Can you talk a little bit about how ChatGPT is essentially, fundamentally different than those other kinds of automations?

John W.: I have to admit from the outset that even those quote, unquote good automations have trade offs. I’ve hugely benefited from these automations in my life and career. Talking earlier about my lousy handwriting, I really could not begin to write until I learned to type on a manual typewriter in quote, unquote, summer school in fifth grade, when my parents needed me out of the house and do something and I took a typing class at the junior high, typing island photography in fifth grade. It was great. I loved it, but I really loved typing because that I could do, and I could type so much faster and with more clarity than I could hand write that I now had a way to capture my thoughts roughly at the speed with which they occurred. So it was a great boon, and the noise the manual typewriter made was just a bonus, because it was super fun [LAUGHTER] to hammer away on that thing and then throw the carriage return across. Nobody’s done it. They should. Go find a manual typewriter somewhere and spend some time doing that. It is a good time. That said, like, I can’t handwrite. I can’t write cursive anymore. I recently had to write a paper check for the first time in months, and had to rewrite it three times in order to get it legible so somebody could actually cash my check. So automation is not unalloyed good without trade offs. That said something like automating the creation of human writing on a page from cursive to typewriting, doesn’t really alter the underlying labor of what’s happening. Now we do know that the typewriter and the word processor have changed the nature of writing. The existence of cut and paste as a technology that didn’t involve actually cutting paper and pasting paper changed the type of writing that we produce. So all this stuff is pretty fascinating, if you start to look at it. The analogy that people have drawn between the calculator and ChatGPT, it’s not that it’s entirely unlike that, it’s different from it in some very important ways. The most important difference is that when a calculator does its mechanical calculations versus a human doing the calculations, that underlying act is identical. Now a calculator does it differently. It uses sort of these binary calculation tools to do it while humans are using our brain, but the end result is identical through those different mechanisms, and the calculator has the benefit of ,unless we wrongly input a number, of being more accurate. Now, it doesn’t mean we shouldn’t still teach addition, subtraction and long division and this kind of stuff. We still have to be able to think about numbers in a way that makes them sensible to us. The difference though, is that a calculator is a labor-saving device for something that we would do not as well through our own calculation. ChatGPT, as a syntax generator, is not doing the same thing as human writing. Human writing is thinking, feeling, communicating. So when we outsource the production of text to a syntax generator, we are doing something fundamentally different in the production of that text, and that difference sands away the most interesting features of writing, which is the demonstration of a sort of spiky human unique intelligence, which is the thing that ultimately gets us interested in reading, particular writers write their unique intelligence. The misfortune of school is that we forgot this in how we assign and assess student writing, we’ve asked them to take away their unique intelligence, what they present to us, so the large language model output looks a lot like what gets good grades in school or has gotten good grades in school. But this is just the opportunity of resetting those values and keeping in mind these differences in the underlying labor is important, because again, if we want students to learn certain things, like writing, like critical thinking, like active reading, we have to have them do it. If they don’t do it, they can’t learn it. We learn through experiences, and if we outsource some critical part of that experience to a large language model, we are denying students the experiences to learn it. One of the early applications of large language models, people enthused about it, so I’m going to use it to do a first draft, and then I will edit the draft. This is ass backwards. [LAUGHTER] The first draft is where all the thinking happens. That’s the stuff. And so you can’t edit something using your thoughts that was not produced through thinking. We need to keep all this stuff in mind as we do it. Otherwise, we’re really going to spin our wheels around how this technology can be genuinely useful, rather than simply as a substitute for the stuff that we should be doing for ourselves, particularly in learning contexts. I can’t say this enough, like people write me like, “I’ll use this for the marketing copy I write for my business, and it’s fine.” I’m like, “Great, great. That’s fine, and that’s a great labor-saving device, but you have to remember all of the stuff you, the adult employed human, had to experience and learn, the skills, knowledge, attitudes and habits of mind in order to look at that output and say, ‘This is good,’ that can only be done through writing that cannot be done through becoming a prompt engineer with large language models.” I get heated up about this stuff, I’m sorry. [LAUGHTER]

Rebecca: You’re talking about the sound of the typewriter. Just recently, last week, my mom sent me a little letter that I had written to Santa when I was little, and I had asked for a typewriter. [LAUGHTER]

John W.: We’re gonna sound like a bunch of fogies here, but my work set up at my home office, I have a laptop and I have a large monitor, and because I like two screens, and I actually ordered a special Bluetooth keyboard for my laptop that was designed to purposely make noise, more like an electric than a manual, because a manual that really would be something, it was just a noisy mechanical keyboard. It was very satisfying to use it. I actually broke it because I worked it too hard, and the company went out of business. Maybe it wasn’t a great product, but I loved it. And loved it, and I had it while I was writing the book, and my wife would know when I had a good day by the sounds that had been coming from my office, [LAUGHTER] because it was like, clack, clack, clack, clack, clack and know if I had a bad day if it was mostly silent. I mean, this is real, like the experiences of our lives are our lives, and to the extent that we’ve sanded those experiences out of learning in education contexts is just kind of tragic and unnecessary, has no relationship to how much students learn or the value of their learning. In fact, it’s the opposite. And so I’m a true believer in this stuff.

John: Going back along the same line, I also, throughout my elementary school, got comments about my handwriting, and in fact, that continued into the next generation, because when my son’s teacher, and I think it was fourth or fifth grade, was complaining about his handwriting being illegible, apparently, he brought in something that he found that I had written at some point, and he said, “See, it’s genetic…” [LAUGHTER] but I benefit a lot, too, from those early automations. Getting a typewriter was a tremendous improvement in the ability to express myself more clearly. But then when word processing came out, it changed the way in which I wrote. Before that, I used to have very elaborate outlines and organized things very carefully, because there’s just so much you can do with Wite-Out and with correction tape. And my writing was much more efficient when I had the ability to move things around and to rephrase things and edit it before it finally was produced as a more final version. And I was at Stony Brook at the time, where dissertations had to be done on a typewriter, and I wasn’t about to do this was like 180 pages or so with all these math symbols. So I had a typewriter with a daisy wheel and an RS 232 interface from my computer, and I connected that to my computer to print that on a typewriter. It took 12 hours because I had to keep swapping the daisy wheel every time there were Greek symbols, but I certainly wasn’t going to go through and having to type it page by page, and the ability to edit using Word Processing made it so much more efficient. But as you note, students are not getting the same sort of efficiencies when they rely on ChatGPT and effective writing takes a lot of time and effort and thought and critical thinking, and we’re living in a time where there’s so much fake news out there, or distortions of reality, and so many conspiracy theories and critical thinking skills, I think, are perhaps more important than they have been in the more recent past. How can we help students develop those critical thinking skills when they do rely to such a large extent on generative AI to get summaries of content.

John W.: It’s a challenge. It’s an interesting challenge, and I’m gonna turn listeners on to some fascinating experiments being done by a guy named Mike Caulfield, who is training large language models to become essentially fact checkers, particularly around images, because they’re very good at this, because it can compare image features in ways that humans can’t. But the reason Mike can do this is because he has a career of thinking about the problem of fact checking, of how we think about information and how we check these things. I really recommend people checking out his newsletter, because his experiments are fascinating. Still, the only way to become critical thinkers is to require students to do a lot of thinking. The absence of thinking from large language model outputs should be sufficient warning for us to be wary of letting students use them to bypass parts of the process that may require thinking. Ferreting out misinformation is a practice. In fact, Mike Caulfield has a previous book called Verified, where he talks about a SIFT method for helping assess the veracity of online information. Once you get this method, you can employ it to help you understand the world, and this is sort of my pitch to students around writing, is that if they can develop the writing practices, if they can develop their powers of observation, drawing inferences from observations, and then drawing analytical conclusions from those inferences, they have a significantly increased ability to just go through the world, seeing, reading encountering things, and having that detector that allows them to say this thing doesn’t make sense. But it is something that has to be practiced and experienced to get good at. And writing is a kind of unique way of being able to do this, because it should require students to turn all of those senses on, but again, we have to make them do it when the assignment comes. And then we have to assess the assignment according to criteria that values those experiences. More and more as I wrote the book and as I think about the problems, it’s not so much the assignments themselves, although there are some assignments that are just sort of like we’re gonna have to put those away. Those are too vulnerable to the technology, and they’re too uninteresting to students to ask them to do these things, and so we have to do something else. But if the assignment is intrinsically interesting and engaging and gets students thinking deeply about these things, we then have to use assessment criteria that values that, as opposed to surface level features that so much of student writing is attended to. And some of this also involves convincing students that this is what we’re going to do. The first part of my first-year writing courses was always sort of fraught, because students would want to give me what they’d done before, and they were very conditioned to producing what I called pseudo-academic BS, which was a sort of high falutin fancy-languaged version of what they thought a smart student who had sort of read the assignment would sound like on paper, and they had been conditioned to this performance of good, smart studentness. And one of my rubric criteria was absence of pseudo-academic BS. And as soon as I saw it, I would just turn it back to the student and say, this is pseudo-academic BS, you need to revise, and they hated me for it, absolutely hated me for it, at least at the start. Some at the end also, but at the end, some would come around. But this is a reorienting around the values that we attach to learning, and if students have not been exposed to those values, or if those things had not been valued in their school context before, we have to help them reorient to them and not get overly frustrated, as I sometimes would when they’re not there already. When they enter my class and they’re not doing the stuff I need them to do, I have to remember that in a lot of cases, this was like new, it was unfamiliar. I think I used this analogy in my book, I don’t know if I did or not, but it was like the beagles that had only been raised in a lab and had only experienced like a cage, and then they took them to a park, and they opened the cage doors and say, “Run, be free, beagles,” and the beagles are afraid of the grass because it’s foreign. Maybe I’m going to regret reducing students to beagles. It’s an analogy, people. But the idea that we know the grass is the great thing, and that the beagles who are in the cages are going to love this grass as soon as they just get to experience it, but they might be afraid of it because it’s unfamiliar, and because the system within which they’ve been working has been rewarding these non-grass-like behaviors, they’ve been rewarding staying in the cage. They’ve been rewarding hitting the prescriptions. And so part of my work was always that reorientation, like “It’s okay, come out of the cage. There’s good stuff out here. You might get muddy, you might step in dog crap. There might be something that doesn’t go well, but we’re going to be okay, because ultimately on the other side of this is a genuine experience of learning in life, and you will appreciate this.” Again, no teacher bats 1000 with their students in the course of the semester. And I think, like a lot of instructors, I can remember every horrible end of semester comment a student ever wrote about me. But overall, the batting average was pretty good because students are thirsty with us. They’ve been really wishing for it, and as soon as they’re invited to do it, most students will embrace it pretty thoroughly.

Rebecca: We spent most of our time today talking a lot about students and learning, related to ChatGPT, the ethics around that, but you’ve also discussed several other ethical concerns related to the training and operation of generative AI, including copyright, exploitation of precarious workers, environmental issues, etc. Can you talk a little bit more about these concerns?

John W.: Yeah, it’s important to recall that these models are trained significantly on stolen merchandise, including things I’m willing to bet all of us in this virtual podcast room have had our work sucked into these models and is being regurgitated back to us without notice, without permission, without compensation. It is not impossible to create a system where the origins of these models is compensated. It’s not impossible. It’s incredibly unlikely to happen, though. So it’s not that I think we should sit around being sort of “Ah, whatever that ship has sailed.” I think we actually should keep it in mind every time we use it, that this stuff basically exists because of the use of material without permission and without compensation. Now our judicial system is going to work through this in terms of our actual copyright law, and I think it’s probably going to turn out in favor of tech companies. But I think this is primarily because our copyright law was written at a time where the thought of this sort of technology was not even in science fiction. So we can’t confuse the strict outlines of copyright law with justice and what is right. The environmental impacts of this technology is unknown. It could be incredibly severe. We already know that it’s using a lot of extra energy and a lot of extra water in the data centers that are online in order to train and deploy this technology. There’s a lot of arguments subsequent to me writing the book around like, well, it’s not as much as like watching a single series on Netflix or something like that. These comparisons I find interesting. But again, anytime we’re going to do this sort of stuff, we have to think, what is the cost to this benefit? If ChatGPT really is just kind of a novelty, then should we be using energy and draining aquifers in order to power these servers? And the exploited labor, the labor in third world countries that is used to train this is again, it’s the story of our Westerners’ use of tech over and over again. It’s nothing new, but it’s an intensified version of it, and it’s something we should be mindful of. We should be thinking about the ethical concerns of all technology we use. Like I have an iPhone. It has minerals that were mined under unconscionable conditions. I have Netflix that is using power that is cooling a server that allows that sort of stuff to happen. I still do these things. I also know that one of the biggest contributions to global warming is the beef industry. I still eat. I have to be able to recognize these harms even while I do these things. I don’t require anyone to like put on the hairshirt and repent for existing in modern society. We are where we are, but I think we do have an obligation to understand the truth behind these potential harms around our actions, just to be reasonable human beings in the world, like I’m about to go get on a plane to do some various events, to talk at institutions and promote the book. None of that is necessary. I could do everything over Zoom. I’m going to do it anyway, because I think it actually has a little better impact than it does over Zoom. And it’s an enjoyable part of my life. Being able to visit an institution and talk about these things, or work with faculty around how we adjust to this technology is fulfilling. And so I have to be aware of the balance between the life I want to live and the trade-offs and the costs to society. So it’s really just a matter of being thoughtful about in the same way we have to be thoughtful around student learning when we’re deploying this technology, we have to be thoughtful about these impacts. Otherwise, I think, as the technology develops, as greater demands are made around this technology, both funding, the money these tech companies want to develop something like artificial general intelligence or to deploy this technology in our institutions, often without our permission, without asking. We should be aware of these things so that we can use them as frames for thinking about how we want to use this technology in our lives, as individuals and as educators, and as educational institutions. We should never forget them.

John: So we’ve talked a lot about the challenges and the potential concerns associated with the use of generative AI, are there some uses that may actually benefit students’ learning and maybe even benefit students’ writing, perhaps doing some proofreading using AI tools, or perhaps evaluating a text that the students created to find some weaknesses in their arguments. Might there be some benefit for those types of activities?

John W.: Anything is possible, and there’s a lot of people doing some very interesting experimenting around the intersection of learning using these tools and writing, and I encourage all of that experimenting, even as I am not the person who is going to do it, because I don’t like to think of myself as a fundamentalist, but I do believe that this technology is primarily useful to people with well developed professional practices and to introduce it at times before those things are there, I’m dubious. That said, I’m encouraging of class contexts that are transparent and open… allow students to experiment with the technology as part of developing their practices. I think that’s all good, as long as it’s done mindfully and with important end goals around learning in mind. This is not my practice. I found this stuff increasingly less useful as I worked on the book. I set out to use it as I was working on it as a sort of demonstration to myself and to see what would happen. Over time, it was less and less interesting, because I realized that the predictive outputs of a large language model were not generative to me. I needed that unique intelligence in order to help me do my work. I do have some what I think are hard and fast lines around the use of this technology. If a student wants to sort of curiously and voluntarily engage with this technology for their writing, I think that’s great. I would never personally have a student write a piece for my course that was only going to be assessed and evaluated by a large language model, and that’s a betrayal of the relationship we should be establishing with our students. I don’t know why I would do it. If I’m teaching writing, the most important input I have for my teaching is my students’ writing. So the idea that I’m going to let a large language model grade that instead of me is sort of nonsensical. But even to ask students to use it to get feedback on their writing by my own urging, I don’t know. I mean, this is a probability machine giving feedback on writing. If I’m going to do that, I need to prove to myself that that output is more useful to learning, not to the outcome, not to the grade, but to learning, than, say, peer review or asking a student to read the work out loud to themselves, or do something that I call a reverse outline, which is just a technique for looking at something you’ve written, write a question based outline for each paragraph. What audience question is being answered by this paragraph, and does that reverse outline make sense? I’ve got a million things that students could and should do with their writing that are not interacting with a large language model in order to improve their writing. So personally, I would have to exhaust those before I would turn to them. But I’m not against experimentation. I know folks who are doing that. It’s not for me, as long as the experiment is predicated on learning, not just improving a student’s output for the purpose of a surface-level criteria grade, I’m for it, and I’m eager to see them, and people share them with me, and sometimes I’m taken aback, and I’ll have to eat some of my words and think, “Okay, maybe I still wouldn’t do this, but I get why this person is doing it.” But again, that’s just a mindful teaching practice; that is using technology that’s available to enhance the experiences of their students around learning. That’s the work. So I can’t criticize or gainsay that. When it is a substitute for what teachers should be doing, when it allows for an end run around our own labor, I think it’s dangerous. And I would just say, since instructional faculty are overwhelmingly your audience, I assume, we should be very, very, very, very, very, 12 more verys in there, careful about outsourcing our instructional labor to automation, because it is a encouragement for those who would like to automate faculty labor to do so, and for those of us who have worked at less than fully resourced institutions, we know what this sort of pressure is like. It’s constant, and the decisions that are made often have nothing to do with the quality of learning or instruction. And so if we’re going to allow these things to, like write our syllabi or grade our assignments or give peer student feedback or something like that, I would just say, be careful, because what you may be demonstrating is, for the purposes of the institution, to collect tuition and convey credits and credentials, you may be proving you’re not necessary. Now there’s no way that that process is the same as a good teacher, human interacting with other students, but that’s not a requirement for an institution to give grades and confer credentials, and so we have to be aware of these things. I’m not saying we have to be Luddites ready to destroy the looms owned by the factory, but we should understand the lessons of the Luddites and respect the actions of the Luddites, which were not just to protect their labor, but protect the quality of the goods that were produced for the public. The mass-produced cloths were not as good as what they did. The public ultimately decided mass production was more desirable than employing hand weavers, but we’re talking about education here, and when is mass produced education proved superior to individual, bespoke relationships?

Rebecca: Seems like a good note to move to our last question, [LAUGHTER] which is we always end by asking, what’s next?

John W.: That’s a good question. So whenever I write a book, I promise my wife to not write another book for a year, because, as much as I love writing a book, and I love writing books, because of what we’ve been talking about, like the depth of immersion that I have to do to write a book is just steeply, deeply pleasurable, but it also makes me checked out of my life in other ways. Now, fortunately, this book was written quite quickly relative to my other books, so that was good. But to answer your question, I’ve become increasingly interested in the idea of apprenticeship and how we learn to do what we do. I’m gonna guess both you guys either had formal apprenticeship programs to l earn to teach you had, like, literal mentors, or I, unfortunately didn’t have that. But what I did have was a lot of other people who are teaching around me who I would go bug and say, “This isn’t working. What do you do? [LAUGHTER] What can I do differently? Because here’s what’s happening, and it is very, very unsatisfactory for everybody involved in the equation, what else can we do?” And so I cobbled together a sort of apprenticeship model to help me learn how to teach and reading. I read a bunch of books. I’ll still never forget reading Ken Bain’s book What the Best College Teachers Do, where it was literally like the scales falling from my eyes. I’m like, “Oh my God, there’s people who care about this stuff out there, and I can read about it, and I’m going to start thinking about it too.” It was literally life changing. That book was a form of apprenticeship to better learn how to do the work of teaching. And the reality is, huge swaths of our society and work are based on an apprenticeship model without us recognizing it. And my concern over this technology is we’re going to lose it, either because we decide to outsource the work of the apprentice to the technology in the interests of increased efficiency and lowered cost, or when we ask apprentice workers to do the work, we will not be requiring them to have the kinds of experiences that allow them to become the mentor. If an associate lawyer is writing a brief using large language models, they will be missing out on the kinds of thinking that will make them the mentor lawyer one day. My older brother’s a lawyer, and he’s concerned about this stuff, like “How do I make me?” And what makes him is all the thinking he’s done over the course of his career to do this. So I’m fascinated by that. So I’m thinking of some kind of project around that, maybe not a book, maybe a podcast, so I can tell my wife I’m not writing a book, I’m doing a podcast.[LAUGHTER] But that’s what’s interesting me right now. That’s sort of, how do we learn to be what we are, and what does that entail, and how does this technology threaten those things, and what will happen if we allow it to dissolve those relationships in our workplace?

John: Well, this conversation and your book has provoked an awful lot of thought, and I’ve really enjoyed both listening to you and reading your book, and I’d strongly encourage anyone who is thinking about using generative AI tools to read through your book.

John W.: Oh, it’s my pleasure. I have been a long time listener, and so getting on Tea for Teaching is a career honor that I’ll always be glad for.

Rebecca: Thank you so much.

John W.: Thank you.

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John: If you’ve enjoyed this podcast, please subscribe and leave a review on iTunes or your favorite podcast service. To continue the conversation, join us on our Tea for Teaching Facebook page.

Rebecca: You can find show notes, transcripts and other materials on teaforteaching.com. Music by Michael Gary Brewer.

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