466. Process-Focused Teaching

Given the widespread availability of generative AI tools, traditional assessments of learning conducted in an unproctored environment have become unreliable indicators of student learning. In this episode, Jason Gulya joins us to discuss the potential benefits of shifting our focus to the process of learning.

Jason is Professor of English and Media Communications at Berkeley College, where he also chairs the AI and Academic Integrity Committee. He is a co-author of Artificial Intelligence, Real Literacy: a practical guide to using AI for evidence-based literacy practices in education, and is currently writing a book on process-focused teaching in the age of AI, for Oklahoma University Press.

Show Notes

  • Matthews, Paul; Gulya, Jason (2025). Artificial Intelligence, Real Literacy: A Practical Guide To Using AI For 10 Evidence-Based Literacy Practices in Education. Independently published.
  • Jeanne Beatrix Law
  • Perkins, Furze, Roe and MacVaugh (2024). The AI Assesment Scale
  • PAIRR

Transcript

John: Given the widespread availability of generative AI tools, traditional assessments of learning conducted in an unproctored environment have become unreliable indicators of student learning. In this episode, we explore the potential benefits of shifting our focus to the process of learning.

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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 Jason Gulya. Jason is Professor of English and Media Communications at Berkeley College, where he also chairs the AI and Academic Integrity Committee. He is a co-author of Artificial Intelligence, Real Literacy: a practical guide to using AI for evidence-based literacy practices in education, and is currently writing a book on process-focused teaching in the age of AI, for Oklahoma University Press. Welcome, Jason.

Jason: Thank you so much. It’s such a pleasure to be here and talk to you both.

Rebecca: Today’s teas are:… Jason. Are you drinking some tea with us today?

Jason: I’m not. I usually drink coffee over tea. I have my own preferences when I do drink tea, but right now I don’t have any. But if I were drinking tea, it would either be English breakfast or Earl Grey.

Rebecca: All right, classics. You’re not a complete tea denier. [LAUGHTER] How about you, John?

John: And I am drinking Prince of Wales tea today.

Rebecca: I’m drinking English breakfast today.

Jason: In some ways, I prefer the taste of tea. I don’t know why I don’t drink it more. I probably should.

Rebecca: I wasn’t trying to make you feel guilty, Jason.

John: Yes, she was. .[LAUGHTER] We’ve invited you here today to discuss process-focused teaching, which is the subject of your new book. Can you tell us a little bit about the origin story of this book project?

Jason: Yeah, it really, in some ways, started way before generative AI. I think for a lot of us, generative AI was a push to really think about process over product. I’m more than happy to talk about what that is. But really, a long time ago, I felt like just looking at a final product, which typically… I’m a writing professor, so it’s typically a paper in front of me… I felt like it wasn’t really giving me enough insight into how a student was thinking, how they were thinking about their own thinking, how they were learning, what they were learning, and so a long time ago, I felt very disillusioned just looking at a final product. And I did a lot of the process-focused teaching that in writing we do, multiple drafts and things like that, but I started to get a sense, and this really hit a head probably three or four years ago, right around the time ChatGPT hit everyone. I started to think about how to move past that disillusionment and another way of teaching, and trying to get more of an access into what my students’ processes were like, because beyond a rough draft and a final draft, I didn’t really know. And so when ChatGPT came out for many of us, it put a lot of pressure on us. And I started to redesign. That’s where the book really starts, trying to think about what that push meant to me, and trying to figure out giving students agency over the process. One of the things that I think a lot about is that there are so many different kinds of processes, and now especially that process-focused teaching has kind of been picked up by so many people who’ve tried to redesign their assessments for an age of AI or whatever you want to call it. But as I dive into it more, there’s a lot to say about processes that I create versus ones that my students create versus ones that we co-create, and so when I started to do the research for this book and talking about generative AI and what it meant for college education, I just did more and more of a deep dive, and as is always the case, it just became more and more nuanced, more and more complicated as I went along, and that became sort of invigorating because it forced me to really start to flesh out what process actually is, when I think that many times we lose touch with just how much of a black box that term is, even though everyone uses it and it’s become very much a term for the moment.

Rebecca: I heard you say that generative AI was a little bit of a catalyst to kind of move you further in this direction, in this moment, but a lot of folks have been doing some of this work over time. So you mentioned a little bit of digging deep into this literature. Can you talk a little bit about some context prior to generative AI [LAUGHTER] that you might have been looking at?

Jason: This is something that I think is really important because if you look at the broader conversation about generative AI in education, it almost makes it seem like this is a new thing. But there’s this really long history going back 60, 70, years that has looked at teaching process, and so a lot of this comes out of writing studies. Like there are individuals who really, in the 1960s, early 1970s, already started to think about how to teach process, what that looks like. There’s all these different pieces of information, and there’s also a lot of research, even starting late-70s, early-80s, into something like think-aloud protocols. Now, this is not only in English; it’s big in sociology and other fields as well. But getting someone to talk about something as they do it, it’s kind of difficult to do. It takes a little bit of practice, but think-aloud protocols in the 1980s, people really looked at when a student is writing something, and they were forced to talk about what they were writing, what they were thinking as they did it, what do you learn? And we’re actually starting to see Jeanne Beatrix Law at Kennesaw State University also has done some research in the AI version of this. I think one of the best things we can do in terms of invigorating this conversation about AI and process-focused teaching is to go back to that. Look at how process was talked about in writing studies and sociology and in other fields, because there is this really, really long research into process in the abstract, that’s one kind of research, and then also like specific strategies. This is think-aloud protocols. This is revision practices, revision literacy, like all this is linked, and there’s this really, really long history of it. And I feel like the conversation about AI in education, especially higher education, tends to jump over that. It’s such a shame because I think it’s really, really rife with a lot of ideas. That no, we can’t transfer all of them, but I think it’s surprising how much you can actually use, because I’m a firm believer that generative AI broke some things, but more often than not, it showed us things that were broken for a while, maybe we shouldn’t have been as product-focused as many of us were in our disciplines, and we can go back, look at that literature, and kind of reinvigorate it and adapt it if we need to.

John: So while there have been many people who’ve been exploring and in many disciplines exploring process-focused teaching, it’s still not the norm, although there’s certainly been a lot of push for people to move in that direction in response to generative AI. When only the final product is evaluated, you can see where students ended up, but it’s hard to detect how much they’ve learned and their process for learning, and help them develop better learning skills. What aspects of learning become more visible when you’re engaged in process-focused teaching?

Jason: Yeah, I think that one of the big benefits is that teaching process is a way to make thinking visible. One of the things that’s happened, especially now, when we’re very product focused, we can look at something that looks like it has the skills in it. It used to be 5 to 10 years ago, I could read a paper from a student, and I could see well, there was a good argument. I’m pretty sure they could argue, or they use evidence and analyze quotes. Well, I’m pretty sure they can analyze quotes. And then one of the things that’s happened with ChatGPT, Claude, Gemini, all these programs that have just been given to students and thrown in institutions, is that it’s getting harder and harder to bridge that gap. So, the idea behind process-focused teaching is it gives you a way to bridge it, to kind of figure out what’s happening with that gap. What are they actually working through? And one of the things that I’ve learned over the last few years is, as I’ve done a deep dive into process-focused teaching, there are so many different ways of doing it, and I think we need to make distinctions. If you’re talking about one form of process-focused teaching, which is giving students an interactive oral assessment, so that students come in, they have a product, something they’ve created, and then in class you can do this online too. It’s a little bit harder, it takes some creativity, but you can do it. So the whole idea is, it puts a little bit of pressure on the students, so they need to explain things, and so that’s where process comes in, because it’s something they couldn’t fully rehearse for, and it forces them to pivot. And so here you’re testing something pretty specific. You’re trying to get a sense of whether the information stuck, whether they can pivot, they can move because they can’t fully plan for a conversation, and so that’s what you’re really taking a look at. Whereas other forms, it can be very different. So if you ask a student to, for example, do a think-aloud protocol, and I’ve done this with my students at Berkeley College, I’ll ask them: for this week what I want you to do, keep writing, keep going forward with your project. But I want you to take five minutes. I want to take five minutes, and as you are writing, I want you to talk about it. And so when I look at that, what I’m really looking for is how they’re processing things as they write. So this also focuses on process, but it’s a very, very different side of it. And then another way to get a process is to really allow students to create their own process. So this we can do, and I often do in a fully asynchronous learning environment. That instead of telling a student: write a five-page paper about blank, instead of doing that, I have them, if I’m able to, if I have the leeway, to design their own project, and we do it together. Some of them will say, “I know what I want to do.” Some will say, “I don’t,” and I work with them. They design a project. They design a process. So you want to create blank? What steps are going to get you there, do you think? Do you think generative AI can help with that? Why or why not? Do you think they’re going to help with the outline? Do you think they’re going to help with reformatting?… whatever it is. And some students will just say, “No, I don’t want to use generative AI. I’m just going to go through my process.” And others will say, “I think it’s going to help here and not here.” And that’s a part of the conversation. So for that, again, it’s process-focused teaching, but the skill set is a little bit different. It’s about design thinking. It’s about can a student create their own process and manage their own process, and sometimes even evaluate their own process. Halfway through, I might say, “How’s it going? Do you need to pivot? What do you need to do?” And those are three examples of process-focused teaching, but sort of splinter in terms of how they’re approaching process. And I think one of the things that’s happened in the conversation about AI in education is that process-focused teaching has become one umbrella term that’s trying to capture all these different things, and it’s just really hard to do. And I don’t think we should have to do that. It’s very, very nuanced. So those different strategies, they focus on different skills, even though they all focus on process.

Rebecca: I come from a field that focuses on process a lot, the design field, so we’ve, over time, required students to do things like process books, or we might do a case study at the end where they talk about how they came to their final product, which is similar to your oral exam, but maybe is in a written format or has audiovisual components to that. It makes me think a little bit more about what you were talking about earlier, in that there’s advantages and disadvantages when an instructor designs the process that’s being looked at, maybe a process that’s happening over time versus discussion of process in a fixed amount of time versus a student designing their process, and it ties, I think, to some scaffolded learning too. Those are some processes that faculty design. Can you talk a little bit about some of the strengths and differences between those different kinds of examples that you just mentioned.

Jason: I think the big question is: What is the intentionality? What are we trying to teach? And I can say things like teaching process makes things visible, makes thinking visible. But the question is: To whom? Who needs to see it? And once we have those questions, what is the intention here, and also who should the process be visible to, then that helps us start to design things. Sometimes I want to see the process out in the open so that I can give feedback on it. This is what we’re talking about when we ask the students to go through the design process. What did you do? Let’s talk about it. So it’s a form of collaboration. Sometimes I want to do that. Sometimes, really, the most important thing is for students to see it, to see that kind of process and see it documented. And so when I do that, the big benefit here is metacognition, making students aware of how they’re thinking through something, and sometimes it’s more for them than it is for me. And this is where we get to reflections and journals. Sometimes I read them. Sometimes I may even evaluate them. But more often than not, ideally that is for them. And I think that those are some of the big questions that allow us to start to design things because I think it’s about balance. I think it’s really all about balance. If we go all in on teaching process for every single assignment, we’re gonna lose it. You can’t do it. On the one hand, it’s not really ideal because it’s just going to balloon everyone’s work. Students have to do more documenting. I have to look at more assignments. It can very quickly become what I call product bloat, where instead of sending in one thing, which is what they might have done 5, 10, years ago, now they’re sending in eight things, and they’re doing that full scaffold. And so you can see how product bloat isn’t good for them, and it’s not good for me. And so I think it’s okay to sometimes say I just want to see the overall process here, or maybe I don’t. There are examples of what I call process-bearing products that you can take a look at. So, for a quick example, a student writes, say, a two pager. That’s a product, but if you ask them to go through and annotate it, now it has something about the process built into it. Annotate the process you went through. Do it by pen. Do it by Google Doc. And so I think it’s okay to try to balance it. This is based off of discipline. This is based off of how many students we have. I think that one of the mistakes we can sometimes make is thinking that something that might work for teaching process in a 20-person classroom might not work in 100-person classroom, and so we make that determination and we start to narrow it down from there. And I think it’s okay to just focus on product for a little bit, and then you get the process in there later. So I think it’s all about like balancing that. A lot of it is institution, what we’re teaching, asynchronous online versus in person can be very very different too in terms of how much leeway we have.

John: And going back to that issue you just raised of scale, I can see this working really nicely in small classes. But say, hypothetically you were teaching a class of between two and four hundred students in introductory economics. Are there any ways in which process-focused teaching could be introduced into that?

Jason: Yeah, I think there can be. You know more about the field than I do in terms of how this would work out pragmatically, and I think the big decision that needs to happen at that level is how assessment is going to work. You can have students walk through the process of something in the course, a project that you maybe have had for a while, and they can walk through the process of it. But then, where it becomes a problem is if everything has to be evaluated, everything has to be graded. That’s a big decision. So I know people who’ve experimented with self-assessment as a way to get around that. Now, depending on where you teach, depending on your discipline, you might have a different approach or maybe non-approach towards that, but self-assessment is one way. Alternative assessment is another way. Students assessing each other, depending on your course, if you feel like that’s going to work. So I think a lot of it is trying to figure out how to be creative with it and what we want grading to be. So one of the things that ends up happening when we talk about the scalability of process teaching, this is where we have the conversation about AI grading or AI assisted grading, and I know people have very different feelings about this. So one way that people have done this is yes, I have a 200 person class. I want to teach process, but I can’t do it, especially if it’s a 200 person online course, I can’t manage that, and so that is where some people have leaned into AI grading as a way to approach scale, and people might have different ideas about AI-generated grading versus AI-assisted grading, but I think it’s something that has helped a lot of people. And then again, it’s just a matter of like, is it worth the trade off? There’s always a trade-off. You’re going to move away from product and towards process. Try to figure out: is that trade-off worth it? Is there another way to do it? Now, one of my hopes is that in the next couple years, we will have a way to start approaching that scale in another way that isn’t AI grading. I’m not aware of too much yet, but my hope is that we’ll continue to be creative as a community and try to figure out how to do that in a way that doesn’t just hand off grading to an AI bot. I think that many of us would balk at that, myself included. But, there is a middle ground potentially here that helps us with the scalability issue.

Rebecca: I think in terms of scalability, those different kinds of process assignments that you were talking about have different kinds of scalability. So a student that’s designing their own process that’s an interactive process with the instructor to design that process-seems a lot more labor intensive and would probably only work in a small context. But even that, if you have 20 students and they’re all doing a different process, that can seem a little overwhelming as well. [LAUGHTER] Can you talk a little bit about how you might implement something like that in a class?

Jason: Yeah, and so this is where I think we need to really decide what we need to have access to. We don’t need to have access to everything. So, for example, if I were doing a think-aloud protocol for my students, so they film themselves for five minutes, and I take a look at it. Now, 10-person class, 20-person class, cool. 50-person class, even a 20-person class, that’s a lot. That’s a lot of work hours. And so I tell them, and this takes a little bit of trust building, that actually I’m not that interested in watching the video. Sometimes I don’t watch the video. I want them to take a look at it. It’s for them. The video is for them, and instead of getting a five-minute video, maybe I get a quick write-up that I can look at very, very quickly. Sometimes I can look at it in 30 seconds, and so I think we make that determination. And I think it’s okay too to have this ad hoc approach, so that if I go and I’m looking at those think-aloud protocols, and I read one, and I say, “Well, I’m not quite sure the learning is happening here. I’m not seeing that level of engagement.” Then I can, in an ad hoc way, go and look at that video, and that allows me to use my time a little bit more. And I think it’s okay to do that. I think it’s okay to have things that are just for them. And the other thing, and again, I know this is so discipline-based, but teaching self-assessment has saved me a ton of time. Having students go through and give their own grade for themselves, I obviously come in and take a look, and if something seems really, really off, then I can step in and intervene. But in general, giving them the ability to self-assess themselves really really does help, and I think it’s okay. I don’t think that’s even cutting corners. I think that’s allowing us to have a conversation about how they’re assessing themselves. If there is a gap between how they assess their work and how I’m assessing their work. If I have a student send in a project and their self-assessment, I might be able to review that in five minutes, maybe even shorter, depending on the project, and I can see: “Oh, I think their self-assessment is pretty good. I think it’s kind of on point here.” Or conversely, that maybe I think it’s really off. Maybe I would give a student a D, but they’re giving them an A, and I want access to that, and that allows me to have a conversation with the student in a way that also does guard my time. So I think, for me, what has really helped is those different strategies, and I think that we can pick and choose them and adapt them for our own discipline. That’s in my experience, anyway.

John: So one of the things you talk about is having students design their processes individually. Could you walk us through an example of that in terms of a particular assignment, let’s say, or to achieve a particular learning objective?

Jason: Yeah, so I’ve done this in my art of film class. I’ve also done this in our writing-intensive courses. So for the class I’m teaching right now, I’m teaching a foundational literature course, and so it’s all about just engaging with story and just how expansive that can be as a category. So for that one, as their midterm project, I want them to create a product, create a project, that shows how they’re working through the course material. I can give students more specific directions if they’re stuck with that. But what I really do is I ask them, let’s design this together and show how it connects. So, for example, I will have a whole range of projects in that literature class. Some students want to do a creative writing assignment. Some students want to do an analytical assignment. So, right now we’re reading Persepolis. So, I might have some students who say write a prequel to Persepolis. They want to do that sort of work, and then others they want to do more of a traditional essay. So I work with them, and I do this as complete and incomplete, or try again. As they’re going through, and they have that project, we have a back and forth. I give the okay. That’s something to review pretty quickly. If they’re connecting it to the course, it’s something that they’re interested in. I usually give them just a complete, and then they start to build from there. And so once they have that done, once they have that project, and again, some will be creative, some will be analytical. Then we have the conversation about what’s going to help you get there. And this is where it is 90% for them, 10% for me, that they’re going to go through and say, “This is what I think I’m going to do. I want to write a prequel to Persepolis.” Okay, cool. So I’m going to go and I’m going to write a rough draft on my own. Then I’m going to use AI if they want to. I’m going to create an outline or whatever it is, whatever the process is. And for that, again, thinking about scalability, it’s all about do you have a process that makes sense? I can usually review this in about 30 seconds. You get a sense very quickly some students who are really struggling with creating a process, and others who like this is fine. This is not bothering me at all. And so, even in that part in the process itself, I call a process folio. I get a sense of how students are doing with creating processes and thinking about processes. The course learning objective that this comes down to, and this is where I anchor everything. For me, managing a writing process is a foundational core skill of the course, what a lot of it is about. To give a sense of how I start to create that, so when I look at a class and I’m trying to think about a process-focused assignment, first thing I do, I look at the course goals. These have been established for a while. What are the course goals that I need to hit? Then I break it down into the core skills. I usually pick like four of them. How can I boil it down even more? And then I link this assignment to that. And so that’s a way for me to make sure I’m actually hitting the course objectives, the learning objectives that I need to hit, even as I’m taking a somewhat unconventional approach, and I think that’s the sort of balance, right? You want to do both. If you’re going to focus on process, you can be creative, you can push things a little bit, but you do want to make sure you’re hitting those course objectives because that student needs to have certain skills when they graduate, go on to the next course. So I think doing that sort of work, starting with the learning objectives and working back from there, has really helped me out a lot. It also prevents me from starting from just step zero or step one. It gives me something to work with and make sure that if a student gets through my class, they’re ready for the next writing class, even if they’re doing something a little bit different. That’s been my process anyway.

Rebecca: Can you talk a little bit about the difference between students experimenting with process in like a 100-level class, where they maybe don’t have [LAUGHTER] a general sense of the processes used in the field or discipline, or maybe one a little further along in their academic journey, where they might be more deeply rooted into a discipline and might have more exposure to different kinds of processes they might use for a project.

Jason: I’m a big fan of the gradual release model, so scaffolded appropriately. And AI can actually help a lot with this, and it can allow us to give more scaffolding to some students and less to others. So, for example, for a lot of my classes, for the first project, I give a lot of scaffolding. It walks them through. This is how you create a project. For me, it’s kind of it may seem self-evident, but for a student who’s just learning the discipline, not at all, right? If someone tells you, oh create a project that’s connected to the course. So, what does that look like? And so, my impulse is to always give a lot of scaffolding for the first project, and then gradually give a little bit less as we go along. The other big way that I do this is with self-assessment. If I ask the students to self-assess themselves, some of them will just be like, all right, I kind of know what you’re talking about. Others have no idea, and so I actually give my students a couple of ways to do it. First way is the AI-free way, so they think about this is what I want to create, these are the skills I’m working on, this I’m going to self-assess. And in any individual class, I probably have about 40 to 50% choose that one, and then the other thing I do is for students who need more scaffolding and need more support, and they just need it in the moment asynchronously. I give them a custom chatbot that walks them through the process. So it asks them, “What are you trying to create?” All right, cool. Build from there. “What are the skills?” And it actually can create a rubric with the chatbot. Now suddenly, this is an activity that is more scaffolded for the students who want that scaffolding, and it’s something they can do in five minutes. Whereas without that scaffolding, it might have taken them an hour, maybe more. And then I can see that, and then when they send me the overall chat, I can quickly scan through it, and I can see the process work itself out as they’re dialoguing with this, and so my rule of thumb is to always give them more and more agency over the process as they go along. So that means a lot of scaffolding early on, and if I have two projects or three projects, I let them create the process a little bit more. And now for foundational courses, I really lean into that. If I have a student in writing and research, like I really try to carefully scaffold it. If it’s say an upper-level elective course, very very different. You might not need a ton of scaffolding early on, so I do personalize that for level and discipline. A writing-intensive course versus an elective course might be a little bit different, and it’s different in terms of course learning objectives that you need to hit. And so I’m kind of informed by that as well as I design. And then, the other thing that’s going to be interesting for us is that my college this semester has taken on AI literacy as a college-wide objective that we need to hit, and so we’re going to start to see that work its way into the conversation too. If a student is taking, say, our writing and research course, we need to have a way to tie that course to that overall college-wide learning objective. So that affects the scaffolding, that affects what you do, that affects if a faculty member wants to create a custom chatbot and link it to that, and so that’s going to be another additional wrinkle, I think. And we’ll see it cutting across different departments because students in every department are going to have to show some evidence that they worked on that competency, that literacy, whatever you want to call it.

John: One concern that many faculty have is that students are using AI to offload their cognitive processing and strategies such as designing chatbots where students are interacting with that to help design a process can be really productive because the research is suggesting that when AI is used intentionally in a manner to support student learning, it can help students learn. But we don’t always see that. One of the things I know some faculty here have been doing is they had been using in asynchronous courses metacognitive reflection discussions and logs and so forth, and they’ve been seeing more and more students turn in reflections that appear to be generated by AI rather than the authentic voice of their students. What can we do to help ensure that students are using AI appropriately. Having students share their interactions is a really good way of doing that, so you can observe it as part of the process. But how do we deal with those cases where students turn in something that doesn’t appear to have been created by them individually?

Jason: I do think getting full transcripts when you can really helps. It gives you a sense of their process, how they’re dialoging with it. My approach has been this: I front load early on in a semester, demystifying it. So custom chatbots are a great way to do this. I also design for my students pressure bots, and I have my students doing this next week. So they did some of the reading. They got the page 70 or whatever it is in the book, and I’m giving them a pressure bot that is designed to put pressure on them. I told them it might frustrate them a little bit. It’s not going to give them answers. It’s going to ask them for clarification. Going to ask them to go back to the book. I want the book in front of them. They can do some of it from memory, but in the end, I want that student to go back to the book and take another look. And so I gave it instructions for doing that. And I’ve done this for a while. One of the things that really changed for me was… it seems so simple now… show them the prompt and so they come back and we have this conversation, I say, oh, this is how AI helped them learn, and I kind of say, well, AI did, but it’s because I did this to it, and you can like show them I had to change it. I had to basically, in these custom instructions, change it from a sycophantic chatbot that’s going to say you’re awesome and great and just keep going, and towards something that’s going to challenge you, and there’s all of this knowledge that needed to happen in the background. And showing them has been really, really helpful for demystifying how this works and making it clear. And some students, I think, already knew this, or it seemed very obvious, and some not so much. If you go and you open ChatGPT and try to do this, it will not work because it doesn’t have this background. It doesn’t have this push for it. So that has been very, very helpful in demystifying it, and then getting transcripts really help. And then also the other thing that’s changed in my approach is after it’s all said and done, a student has gone through the process, they’ve created the thing, asking for a transparency statement that really has them walking through what they did and why they did it. So I have students at the end of a paper. I ask them, “What are the steps you took? Did you do a draft? Did you do an outline? Did you draw something out? …whatever it is. And I have them go to the AI Assessment Scale. So this was created by Leon Furtze and Mike Perkins, and so very simply, for a step in their process, they give it a one if they didn’t use AI. I will have students who say, “I didn’t want to use AI. I didn’t work it into my process. One’s all the way down.” A one if they didn’t touch it. A five if it was full on AI. I rarely get those. Every once in a while, they just say I created an AI outline and went from there. So go through the process, give it a number from one to five, and think about your intellectual ownership. Did you feel like that actually served you as a learner? Were you handing something off? And so, it’s not foolproof by any means, but it tries to get at how, when we use this technology, there’s always a trade-off. What we might gain in efficiency, we might lose in intellectual ownership, or anything like that. And so that has sort of helped. And over the years, the other thing that has helped me is… and this just sounds so obvious, but I think it’s kind of hard to do… really leaning into asking questions. It seems so obvious, but say, “I want to talk to you about your process. What did you do?” I think for a lot of my students, it’s hard because that feels accusatorial, and I’m learning to lean into it a little bit more. I took a look at what you did, can you walk me through the process? Did you happen to use AI? Why or why not? And just trying to really make that conversation normal. It’s not even just that I’m policing it or accusing it, but try to say “I really want to talk about this. I think something happened. Can you work with me to try to figure out if that happened or that didn’t happen?” And I always felt like that was going to automatically feel like I was catching them, and all that. But I’ve actually found exactly the opposite. Depending on how we approach it, it is a way to collaborate with the students. And I try to make it clear, this is us working together because I want to talk about your process and figure it out. It takes some ironing over to do that, but having that transparency statement, having that demystifying conversation early on has helped me scaffold for that conversation because then I talk a lot with my students about how AI could be a learning tool, but only if you use it in very specific and very intentional ways.

Rebecca: I know you were calling showing the prompt that you wrote, demystifying a little bit, but I also think it’s modeling process. Your teaching process, your modeling process, you’re talking about process. So can you talk a little bit more about the role of modeling some of these skills for students?

Jason: I think modeling is one of the most important things we can do. So when I create a scaffold for my students, I walk them through it. Why did I create that scaffold? If I’m telling students for that first project, this is what I want you to do. That is a model process, and I think sometimes I myself I never leaned into just how that works. So if I ask them, all right, I want you to free write first. Cool. Why did I do that? Why did I feel like, oh, you can’t just free write with ChatGPT? I had you free write, then I had you create an outline. Whatever the scaffolding is, and that is a model process that the instructor has created. And I think that a lot of it is showing students that step back and being very honest when we learn something about our process. So one of the example I give to my students is after ChatGPT came out and other programs started to come out. There was a few months when I was generating my PowerPoints with AI. I’d have like notes, I’d have a document, I would generate it and then I would change it. I would revise it, all that sort of stuff. And I end up walking through my students, this is the process I’ve created, and then I junked it because I felt like generating things with the slide made it so that I couldn’t present on it. I had a hard time presenting, pivoting, doing that sort of work. And so talking to them about the processes we create, why we change them, how we go forward. I think it’s probably one of the most valuable things we can do in the classroom, and it helps them to see how important process creation actually is. I think that many of my students, when they come in, they’ve been taught by the education system that what really matters is that final product, and that final product does matter, but I try to use modeling as a way to get them to think about how does scaffolding or any sort of laying out of the process, how does it help us? Why are we doing things? I think that my impulse is always just to have the scaffold there and not really talk about why I designed it that way. And I’m trying to be better about that, just showcasing the intentionality because I think it helps them think about things a little bit differently.

Rebecca: I feel like one thing that I’ve also done in that same space that has been effective is pointing out parts of the process that maybe as a student I thought were a waste of time, or I didn’t fully understand why they were there, or I would skip over it or shortcut it in various ways, and why I don’t do that now. But I found those conversations to be really powerful conversations about what is actually the point of this step.

Jason: That was my experience in high school. I hated, I hated writing in high school because of how it was scaffolded. Because I was told do this, do this, do this, and do this. And even when I was a high school junior and high school senior, someone would come in and say, “All right, the first thing I want you to do is to create a thesis statement.” No, that doesn’t help me. I need to go through the actual writing process to figure out what it is. And then they would say, “Do a thesis statement, do an outline, do this.” And I started to realize at that point that, like, “Oh, this process does not work for me. It’s great that it works for someone else. Great that it works for several of my classmates. Does not work for me.” And this again is something that we can take from process studies. In the early 1990s, there was a whole post- process movement. So this is something that was almost like 35 years ago that people were thinking about, “Oh, we all have different processes. It doesn’t work for everyone.” There isn’t a linear process we can do that gets us from point A to point B to so on and so forth and final product. The processes that we use are all different, and they should be different. And I think that sometimes we lose how fragmented that can be. But again, there’s all this scholarship about how to teach in that context, and sometimes we just need to go back to it and look at how much of that carries over to the current moment. And my experience has been that quite a bit of it does carry over.

John: So, for those who are thinking about adopting process-focused teaching, you’d recommend that they not try to impose a process on all their students.

Jason: So yeah, find ways in which, if you’re teaching process, make it conversational if you can. Now there are certain limits to this if you’re teaching online or teaching a large number of classes, but find ways to make it as conversational as you can. And this actually can be a way to also manage your course load so that you’re not designing a process for everyone. You’re working with them as they create their processes. There are ways to manage that, and again, it’s about scaffolding. For that first project, I think it’s okay to control the process a little bit. You just want them to see it. You want them to see what that process looks like, and then gradually release more agency so they can think about their own process. Think about what works for them, and make those sort of selections. That also, for individual students, might help cut down those seven steps to three steps. If I do a scaffold for students, it might be like seven steps or so. I’ve never had a student who, when I ask them to create their own process, had a 10-step process. It’s always like two or three or four. It’s always on the lower end. I think it helps us in terms of scalability too.

Rebecca: One thing that has been helpful when I’ve thought about this and providing flexibility is, for example, we need to do something to come up with an idea. We need to do some sort of ideation, but there’s lots of ways to do that. [LAUGHTER] But you need like a component of a process that gets some ideas out, and maybe offering like a menu of options sometimes can be really helpful too.

Jason: Gives them that agency, and I think that is so key, and it’s one of the reasons too why I give students as much agency as I can while also hitting those objectives over the project they’re creating. This is one of the first principles of teaching process from the 1970s. If you’re going to teach students to own the process, they have to have some ownership over the product. That’s like principle number one or principle number two, when it was laid out. I think that’s just so key, and also it pushes against the incentive to overuse AI or misuse AI, to own the project you’re creating. No, it’s not going to make everyone be honorable and do all the work. But I think it helps when you are creating a project that you have very little buy-in, you didn’t help create, you didn’t help put that sort of work in, AI becomes an even more attractive option for bypassing the learning. So I think giving students agency, giving them ownership in the material is one of the best ways to push against that and get them to do the learning, which sometimes requires hard work.

John: You’ve suggested some strategies that can be used in any class, including asynchronous courses. But are there some aspects of process-focused assessment that works well with asynchronous courses when you don’t get to see the students individually on a regular basis.

Jason: Two things: one, really think about products that you can take a look at that have something about the process built into them. Those comments, some sort of combination that you can look at a product pretty quickly and see what actually was built into it, how was it designed, that sort of thing. And then the other is lean into asking questions. I think that if I ask for every process along with every assignment, especially in an online course, it blows up so fast it’s overwhelming for everyone. But if I’m looking at say 20 projects and I ask a question about the process with one or two of them, that’s doing my due diligence. And again, it can be conversational. I think there are ways to phrase it so that it becomes a part of a collaborative exercise to figure out what that process was, how it can be improved. And those have been ones that really, really helped me because if you’re teaching a pretty large online asynchronous class, you need to do it in a way that guards your own mental health, if you can. And those have been the two that really, really helped me. So that I’m not asking for a page-long process statement from 20 students for one week. I can’t do that, but I can do ad hoc questions, make them conversational, have a back and forth. That’s much more imaginable to me. And I make it very clear to students, I ask you for clarification on a comment on Canvas, the LMS that we use, that is a part of the assignment. Writing back to me is a part of the assignment, so we can have this back and forth, which they’re not usually used to early on. But if I do it a couple times, they become very used to it pretty quickly.

Rebecca: We talked a little bit earlier about your pressure bot, and then also a bot to help design a process. Can you talk a little bit about ways that we might use AI to do some critique of our work or challenging students to interrogate their work a little bit more before submission? [LAUGHTER]

Jason: The model that has been really, really helpful is the PAIRR model. So it’s P-A-I-R-R. It’s peer and AI review and reflection, I think i’s the acronym. So this is out of the University of California San Diego, and so what they found was the big thing was you use AI assistive feedback, and it’s very very helpful for students, and you sandwich it. Basically, you start with peer assessment. I also sometimes start with self-assessment. How do you think you did? Then you can get feedback from an AI program. You can ask for the transcript, however you want to do it, and then you have them review and reflect on it. And so it’s really about anchoring that feedback. They go and they take their paper and they put it into a feedback generator or an AI grader, which my students are increasingly doing. Do you agree with it? Would you change it? Do you think that grade is accurate? And that allows them to anchor it a little bit more. That’s the key to it. They can get that feedback, but I also want them to engage with it critically, because I think the impulse for my students is to just take all of the feedback from an AI bot and just implement it. And I don’t want them to do that. And I’ll tell them, if I even go through something like Grammarly, it’s on my own work. I’m constantly saying yes, no, yes, no, yes. You use your judgment, and so I think that’s the muscle that needs to be developed. And a lot of it is contextualizing the feedback rather than just letting it stand on its own. Yeah, and you compare it. What did the AI bot tell you? What did your peer tell you? If they’re different, why do you think they’re different? What am I telling you? And so it allows them to kind of see the link, which is exactly what a lot of times we’re being asked to do in the workforce. We go through, and we have a project. I do this all the time. You have a project, you send it out there, you get three sets of feedback, and you have to like judge. And they don’t complement each other a lot of times. They contradict each other. You can’t hit all those sets of feedback. So I think that there’s an argument to be said that this is part of workforce training. How do you implement that feedback? And AI just becomes one set of feedback among others, which I think is exactly where it should be, so that it’s not getting too much gravity and becoming the center of attention, and it contextualizes it a little bit, and also starts to demystify the feedback in a way that’s just one source among many.

John: Suppose someone wants to begin implementing process-based assessment. Can it be something done at a small scale before they completely revise the design of their courses, or is it something that should be done throughout the course as a complete change in structure?

Jason: Start small, please start small. Make it easier for yourself. Do it for an assignment. Do it for a mini assignment. So start small. Build from there. In my experience, if you try to make the entire course process based. It’s a lot to deal with at once, and especially because I do believe that a lot of teaching process is discipline-based or discipline-sensitive, I’ll say. And so if you have that assignment, you have that scaffold, that’s one way of teaching process. Take what you’ve already learned, move it towards something else. Try something a week. Maybe you try to think-out-loud. Maybe it works. Maybe it doesn’t work. You can sort of pivot from there. So I would say you definitely try small, iterate, figure out what you’ve learned from that, and then you can design from there. I don’t think you have to do everything all at once or do all of your classes. I say if you’re just getting started on that journey, start small in one course and then build as you feel like you learn more about it.

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

Jason: Yeah, so I think the big thing is trying to figure out how grading works in this conversation. This is an ongoing project for me. I have a lot of provisional ideas, and I’ve changed my grading over the last couple of years. But if the process-focused classroom, and I think it is, is about experimentation, it’s about you try something, you try that process, and it fails. How does grading fit into that? Because the students get to me, and they’ve had 12 plus years, usually in a formal education system where everything is made visible, everything is graded, everything is given a score, and sometimes, especially when students go on their phone now, they go into the LMS and they’re greeted by an AI bot that offers to do something for them. I think a lot about the incentive structure, and this is big-picture stuff. Trying to figure out if we’re going to teach process in this way, where generative AI is just going to be embedded in everything. Do we need to think about grading again? What sort of grading systems helps? Is there an incentive structure that students are surrounded by that we need to start to challenge and poke again? So that’s increasingly what I’m thinking about because it’s really hard to get students to experiment and play in a classroom when it’s like, oh, they’re gonna get a 70 instead of 100. So that’s the current part of my project that I’m always stuck on because grade reform is really hard, and we’d have to wait a really really long time for if it ever happens, and so trying to figure out how we can push against the incentive structures of transactional education, even within our very pretty limited spheres of influence. That’s where my mind is right now.

Rebecca: Well, thank you so much for joining us. It’s a great conversation and plenty of things for everyone to think about.

John: And we’re really looking forward to seeing your book.

Jason: Thank you so much.

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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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460. The Problem with Grades

Traditional grading systems encourage students to focus on final grades, sometimes at the expense of learning. In this episode, Jessamyn Neuhaus, Ashley Cambareri, and Cole Bailey discuss challenges associated with traditional and alternative grading systems.

Jessamyn is the Director of the Center for Teaching and Learning Excellence and Professor in the School of Education at Syracuse University. She is an historian and editor of Teaching History: A Journal of Methods. Jessamyn has published extensively in scholarly publications in the areas of history, pedagogy, and cultural studies. She is a recipient of the SUNY Chancellor’s Award for Teaching. Jessamyn is the author of several books, including Geeky Pedagogy: A Guide for Intellectuals, Introverts, and Nerds Who Want to be Effective Teachers, Snafu Edu: Teaching and Learning When Things Go Wrong in the College Classroom and she is the editor of Picture a Professor: Interrupting Biases about Faculty and Increasing Student Learning. Ashley graduated in May as an honors student with a degree in Inclusive Elementary and Special Education from the School of Education at Syracuse University, and will begin her new job as a 5th-grade teacher this September. Cole is a student in the Renée Crown Honors Program at Syracuse University, studying International relations. Ashley and Cole were students in Jessamyn’s Honors class on “Problems with Grades.”

Show Notes

Transcript

John: Traditional grading systems encourage students to focus on final grades, sometimes at the expense of learning. In this episode, students share their reactions to and experiences with traditional and alternative grading systems.

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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 guests today are Jessamyn Neuhaus, Ashley Cambareri, and Cole Bailey. Jessamyn is the Director of the Center for Teaching and Learning Excellence and Professor in the School of Education at Syracuse University. She is an historian and editor of Teaching History: A Journal of Methods. Jessamyn has published extensively in scholarly publications in the areas of history, pedagogy, and cultural studies. She is a recipient of the SUNY Chancellor’s Award for Teaching. Jessamyn is the author of several books, including Geeky Pedagogy: A Guide for Intellectuals, Introverts, and Nerds Who Want to be Effective Teachers, Snafu Edu: Teaching and Learning When Things Go Wrong in the College Classroom and she is the editor of Picture a Professor: Interrupting Biases about Faculty and Increasing Student Learning. Ashley graduated in May as an honors student with a degree in Inclusive Elementary and Special Education from the School of Education at Syracuse University, and will begin her new job as a 5th-grade teacher this September. Cole is a student in the Renée Crown Honors Program at Syracuse University, studying International relations. Ashley and Cole were students in Jessamyn’s Honors class on “Problems with Grades.”
Welcome, Ashley and Cole, and welcome back, Jessamyn.

Jessamyn: Thank you for having us

Ashley: Yeah, thank you.

Cole: Happy to be here. Thank you.

John: Thank you all for joining us. Today’s teas are:… Jessamyn. Are you drinking any tea?

Jessamyn: No, I forgot, like a noob… [LAUGHTER]

Rebecca: What?

Jessamyn: You’d think this is my first time [LAUGHTER] I know. I totally forgot.

John: One of our most frequent guests… [LAUGHTER]

Jessamyn: [LAUGHTER] Nope, nothing.

John: Okay, Ashley?

Ashley: Yes, I’m not drinking tea currently, but with it being the summer, I’ve been drinking lots of iced tea, and my mom likes to make iced tea, and so I’ll use her iced tea and add like peach juice or some mint sprigs. So I’ve been drinking a lot of tea, but not right now.

Rebecca: So fancy iced tea.

Ashley: Yes, I like to make it a little bit fancy. [LAUGHTER] Yeah.

John: And Cole, are you drinking any tea?

Cole: Currently drinking coffee.

Rebecca: There’s one in every crowd, Cole. [LAUGHTER]

John: At least one.

Rebecca: Yeah. [LAUGHTER]

John: And Rebecca?

Rebecca: I have Zen today. I have Zen. [LAUGHTER]

John: That’s not like you. [LAUGHTER]

Rebecca: That’s not like me. [LAUGHTER]

John: Today I have a Darjeeling tea.

Rebecca: See, we’re both switching it up a little, John.

John: We are.

Rebecca: We’ve invited you all here today to discuss your honors class on “Problems with Grades.” Can you tell us a little bit about this one-credit SSAMYN: Sure. There were eight students total. We met once a week. It was a one credit class. The students came from a variety of profirst-yeara range of where they were in terms of their degree completion. Cole was a first year student, and we had some all through seniors, and like Ashley, who graduated. We had a primary text. We used Joshua Eyler’s book Failing Our Future: How Grades Harm Students and What We Can Do About It.

Rebecca: We know that book. It’s a great one. [LAUGHTER]

John: And you recently all presented on this at a conference. Where was that conference?

Jessamyn: That was the Grading Conference. It happens virtually every year, and we did a student panel reflections on the course, and I thought it went really, really well. I have been really pleased to facilitate more student voices in the conversations about grading, and I’ll pass the mic to Ashley and Cole if they have anything to add about the conference.

Ashley: Yeah, sure. I really enjoyed the conference. I think it was a great opportunity to talk about the class and really get more holistic thoughts on the class and kind of get to summarize my feelings, my thoughts, and share with people who are really interested in grading and grading reform. So I really enjoyed the experience of just kind of getting to chat with a couple of my classmates and with Professor Neuhaus and share our experience.

Cole: I agree with that. I really enjoyed the conference as well because I can confidently say that Professor Neuhau’s class was one of my favorites, or probably my favorite class I took my entire freshman year. Definitely a highlight. So being able to reflect on that with my peers was definitely a good experience.

John: And we saw reference to that, and we wish we were there, but we weren’t able to attend that conference this year.

Rebecca: I’m really curious, Cole and Ashley, how did you end up in this class? Is it one that you chose or one that you were required to take?

Ashley: Yeah, I can start with that. Yeah, so as honors students, we are required to take a certain number of honors credits. Being in my senior year, I had kind of saved some of my honors credits for my last year. I had a semester at the end where I kind of had some wiggle room. Throughout my other semesters, I was an education major, so studying to be a teacher. So I had a lot of field experience and stuff like that that I needed to get into my schedule. So I had a few credits left in that last semester that I needed to take care. So I was looking for little one-credit honors classes, and “Problems with Grades” was one of them. And as an education major, it felt almost like a no brainer to take that class. So I was really excited to be able to do that. So it’s kind of voluntary, but also we’re required to take certain honors classes, but we get to pick and choose which ones we do based off what fits in our schedule, so this is one that I definitely intentionally chose based off of the subject and my interest in it and its relevance to my future.

Rebecca: How about you, Cole?

Cole: This was a chosen class, not like required. Well, yeah, the honors college requires you to take some. I was looking for a class, and I just saw the description. I thought it was really interesting. I remember I was questioning whether I should do it or not because I really had a small window of time between this class and the following, like a 10-minute window to get across campus. But I made it work, and I’m really happy I made it work because this was a great experience.

John: What were the learning outcomes for the course? What was the primary focus of the class?

Jessamyn: We had three stated learning outcomes. First, the way I phrase it is: at the end of the course, students will be able to successfully: 1. summarize the historical origin of letter grades and describe several types of alternative grading systems; 2. explain some of the specific ways that traditional grades can create obstacles to learning in school settings; and 3. articulate the meaning of grades in defining and shaping your own education, including reflecting on your experiences with collaborative grading in this seminar.

REBECC: I know we’ve talked about this on the podcast previously, but can you remind us of that recent history of the traditional grading system? And then I’m really curious to hear how students responded to learning that history.

Jessamyn: Okay, so I didn’t know there was going to be a pop quiz [LAUGHTER] here on the… [LAUGHTER]

Rebecca: Sorry.

Jessamyn: historical. [LAUGHTER] The historical origin of letter grades actually ended up being… and this was on me… it ended up being the least kind of addressed one in the class. Joshua Eyler does discuss it in his book briefly, and because it turned out the basic takeaway and the one that really benefited our discussions the most was just the understanding that it had been fairly recent and tied very closely to standardization, rating, and ranking, and that there wasn’t something kind of inherently, like I always said, they weren’t inscribed on tablets of stone and handed down by God, this is the way we should do it. There is a history of it, and for me, it really struck me that it was like teaching history of popular culture in that something that all of us had taken for granted, all of us had experienced in one way or another, but had never really critically examined kind of the roots and causes of it. But I’ll pass the mic to Ashley and Cole and see what their perspectives are.

Ashley: Yeah, I think the thing that stood out to me the most while we were reading Joshua Eyler’s book was learning a little bit more about that history and learning that the history really came from a system that was originally used to rank students and figure out kind of where they were against each other. So rather than seeing, okay, how effectively are they learning the outcomes? How effectively are they accomplishing what we need them to accomplish? Or how on target are they with where they should be at this grade level? It was really to see like who’s number one and who’s at the bottom, type of thing. So I think it was fascinating to me to see that we’ve used this system that was used to rank students as the same system we’re using to determine how well students are learning the content. I think it’s interesting to really see that we’re kind of misusing it a little bit to figure out, like, okay, how well is the student learning the content? That’s not what it was originally about. So I think looking at the alternative grading systems, it really showed me how much our original system wasn’t made to actually understand where students are at academically.

Cole: Yeah, just like Ashley said, just through the book, I definitely learned a lot about alternative forms of grading. Well, I mean that’s what it was mainly about, but the whole concept how the current education system kind of pits students against one another, really just makes you wonder: like, is it truly for the student, or is it like for the number? And because of that, I definitely did enjoy this book, but I also enjoyed the discussions we had about it.

Jessamyn: What Cole just said was definitely something that came up repeatedly when we were discussing grading, and when students were discussing their own experiences with grading, and was something I hadn’t really expected, but was how frequently they talked about just like Cole said, for being pitted against each other and in competition when we know just as human beings, how much more we can learn when we feel safe and supported in the learning environment. So that was definitely an unexpected thing that I heard from students. Another unexpected and really heartening thing that I heard from students as they reflected on their experiences with grading, is that the potential harms of traditional grading really and truly can be mitigated, if not eliminated, at least reduced, by good course design and effective teaching practices. And conversely, the harms of traditional grading can be really exacerbated by poor course design, lack of communication, lack of trust with faculty members. The takeaway I really got about students’ grading experiences was that they can be very harmful, but that a lot of effective teaching practices really do reduce the harms that students experience.

John: You’ve mentioned a little bit about students’ reactions to the grading systems as being overly competitive. Could you tell us a little bit about how students reported their past experience with grading systems leading up to this course? Had they experienced alternative grading systems prior to this?

Jessamyn: So let me just frame it. These are very high-achieving honors students, so as a group, they had enjoyed a lot of success in academic settings, including earning very high grades. But they were readily able to identify ways that traditional grading had caused them and their peers and their friends a lot of stress, especially in terms of mental health and self-esteem, and created obstacles to a sense of classroom community and obstacles to their own learning. One thing I didn’t expect was how quickly students could identify how early grades start to have an impact on their experiences in school. Correct me if I’m wrong, Cole and Ashley, but I think everybody talked about becoming aware of grades very early in elementary school.

Ashley: Yeah, I think that’s definitely something that I spoke about a lot in the class. I talked a lot about my experiences in later elementary school. It really, for me, started in around fifth grade, I think. That was when I didn’t make the cutoff for advanced math, and I was really upset about it. And I saw a lot of my friends were in advanced math, and I was put in regular math, and I was constantly getting really good grades in regular math, and like really hoping that I would be in advanced math. And of course, now a little bit of a more grown age, I understand that I put a pressure on me that I didn’t need to have there, and really, as I grew into high school, I kind of realized that as long as I was learning and learning in a way that was efficient for me, I didn’t need to be stressing myself out over these extremely high-level courses. And I think with that was the stress of grades and making sure that I was getting grade in the ’90s and seeing that if I got a grade in the ’80s on my science test in sixth grade, I came home crying. Those are things that my mom would really try to say. Like, this is not about you. It might just be that your teacher needs to reframe the way that she’s teaching, or that there’s just maybe one concept that you’re having a little bit of a difficult time understanding. It’s not a reflection of who you are as a learner, or putting that pressure on myself, and then also in middle school I was really struggling with the competition aspect of it, and watching my friends get grades that were higher than mine, or having teachers who kind of pitted us against each other and made us feel like we had to compete for good grades. So I think the traditional grading system definitely put that weight onto me and onto many of my peers, of: “okay, you need to make this benchmark or else you’re not a good student type of thing.” So I think we talked a lot about alternative grading that kind of takes that stress off of getting a number grade that defined exactly how well you learned, and rather having it be a more formative process, more throughout the unit or throughout whatever you’re learning about. “Okay, let’s check in at this point, or check in at this point, or let’s use these standards and see how well you’re meeting each standard and how we can further your learning and get you to the place that you need to be.” Rather than “we’re at the end of the unit, here’s your grade. This shows how well you learned it or how well you didn’t.”

Cole: I agree with that. I’m pretty sure I mentioned this in class at some point, but up until third grade, I went to a school that specialized first with students with a dyslexia and ADHD. And it was after that summer I transitioned to a regular, I guess, public school in my local area. And I remember at a very young age having to do a bunch of extra work trying to keep up with my peers, especially in high school, it was very competitive because I started taking AP classes, and you could definitely see the difference –not just in the coursework, but also with the students taking the classes. Like some students were quite braggadocious about being in a higher-level class, but overall, I do think the current grading system definitely can be toxic.

Rebecca: It’s interesting when I’m listening to both of you talk because I have a daughter who’s just leaving third grade and headed into fourth grade, and I’m hearing some of these same kinds of things like bubble up in her world too because they’re receiving graded materials back, but interestingly, the school itself uses a four-point system, like exceeds, meets, approaches kind of a model for actual course grades that are submitted on a report card. But there’s still an understanding of this desire for like 100% It’s interesting, some of the same feelings that you’re talking about her in her life too.

Ashley: Yeah, absolutely. I also just want to add onto that a little bit of the feelings of your daughter. I think I felt that a lot in school too, as I said. And now going into a teaching career, I think understanding that it’s your job to meet students where they are and find the way of learning that works best for them. Because I think with this traditional grading system, it works great for some people. Some students are able to exceed expectations consistently, but then there’s other students who it’s not that they’re not smart or not capable of learning. It’s just that they might not learn in that way, and that evaluation doesn’t reflect all the learning that they have done along the way. So I think now going into a career of teaching and understanding that it’s my job to make sure that my students don’t feel like learning isn’t for them because learning is for everybody. So it’s the weird time to be in elementary school and kind of figuring out this whole grading situation and that you’re really being evaluated so heavily.

Jessamyn: Sorry, not sorry for that, Ashley… [LAUGHTER] putting all these thoughts in your head. And everybody talked about this at one point or another, the way that they experienced traditional grading as a system where it was wrong and bad to make mistakes, and that learning, which is so contrary to what learning actually requires, which is making mistakes, and as very high achieving students at a very high-achieving institution, that was pretty mind-blowing, and they identified very readily that making mistakes should be part and parcel of how you’re assessed. But with the traditional grading system, they often felt like they couldn’t make a mistake.

John: One of the things that seemed to come up in the comments there was that the traditional grading system led to a focus on getting the highest grades without as much concern for the learning. Is that the sort of perception that was common in the class?

Jessamyn: Yeah, I think so. And interfering with learning, and also I say interfering with being able to reflect on and even enjoy learning, that that got lost pretty quickly. I remember one student, we were talking in class, all of us together when we met for our midterm grading conference. He was a junior, and he said he couldn’t remember ever having had an opportunity to reflect and articulate exactly how successful he’d been in learning and what he wanted to keep learning and how he was doing in the class. And all of us agreed it was quite bizarre that you could become a junior in college and never remember having a chance to honestly articulate “Here’s how my learning is going. Here’s things I’m interested in. Here’s where I want to do a little better.” So, interfering in that way with the process of learning.

Ashley: I think Professor Neuhaus really summed it up pretty well. I think we did a lot of talking about how our learning processes were really reflective of just focusing on the end result and a grade, and just kind of making it through a lot of the time throughout elementary school, middle school, high school, and how that was really the emphasis placed often by just the grading system and what we were learning.

Rebecca: I’m curious whether or not the conversations that you were having around grading just even changed your perception of what was happening in your classes during that semester.

Ashley: Yeah, for sure. I can speak to this a little bit. I was in a lot of classes and my education classes were often based off of projects or watching our observations of us teaching, and more grading based off of what they were seeing of our learning, rather than an exam or more traditional grades. But I did have a couple classes that semester that were graded based off of here’s what we’re learning, here’s a lecture, here’s your homework assignment, here’s your test, and yeah, I think as I’ve gotten older, I think those types of classes I have more of an awareness of what works and what doesn’t for me, and if it’s a subject that I find comes easily to me, then those classes are totally fine. I can listen to the lecture, I can do the assignments, I can take the test, and I’m fine. But if it’s a subject that I’m not as interested in and doesn’t come as easily to me, then it’s detrimental to my mental state. Like in high school, I was taking math classes that were really hard and that just didn’t work for me. I was constantly struggling, and yeah. So I think throughout my college classes, I definitely saw like, okay, am I doing this for the end result of an A, or am I doing this and actually learning the material? So our “Problems with Grades” class definitely helped me reflect and see how much did I learn in this class versus how much did I not learn and just do the assignments and accomplish those tasks to get the end result grade.

Cole: Often I would reflect on what we discussed in class, like in my following course, which was like 10 minutes after. And this was a very traditional course. It was the slideshows and lectures, and I would look around the lecture hall and twice a week, constantly, people are just always just doing anything but taking notes, or maybe just jot down like two sentences every like 10 minutes. But it really had me thinking, like, is this really the most efficient way to teach this class? And I would always circle back to that thought. But yeah, this class definitely did allow me to like broaden my skill of thinking.

Jessamyn: Cole, you also had an interesting experience. You wrote about it on LinkedIn. You had an interesting experience where, towards the end of the semester, in another class, a grade had been entered incorrectly. Do you want to tell a little bit about that?

Cole: Yeah, [LAUGHTER] very frustrating. I’ll say that. So, we had three exams over like the whole semester, and my professor put in like the questions that I entered into a calculator for the exam three, and because like the questions like reoccur on the final exam, I got those questions right. But overall, I just like bombed it. I was like, how did I get this awful of a grade? I didn’t even remotely get close to passing this. But yeah, I sent an email within the week after getting it, and then he got back to me. The professor just said it was his mistake for answering this wrong, and explained how he did it. But at the end of the day, I was happy that I actually did get like a desirable score. But it did make me wonder: how do you just end up putting in like the wrong test into your grading rubric? Was there a lack of organization there? I don’t know. I just think about that sometimes.

Jessamyn: Well, how incredibly high stakes it was. So everybody makes mistakes sometimes, including professors, including on the learning management system. But it’s when it’s so high stakes and it means so much, o ne little wrong entry has this really devastating ripple effect, and I think that story really illustrates an important takeaway that I saw a lot of the students leave the class with is that I felt like a lot of them left more empowered in their academic setting, a little more cautious about measuring their own and others’ academic success and learning solely in terms of grades, but in Cole’s case, this is the system – it’s the grades. But being a little more empowered and understanding more about where grades came from hopefully will help the students like Cole who are still in college navigate those kinds of issues around grades with a little more agency.

Rebecca: It’s interesting, right? That sometimes grades can feel like they’re done to you. In the case of like an error, it’s like a grade done to you, and then you feel helpless or powerless, and like, how did this happen? Or you feel maybe like you’re unworthy or something like that, and don’t feel empowered to ask about it or to question it. We just kind of accept it because we treat it as like an authority. So, good for you for raising the question and not just accepting it. Hopefully, we can get more students to be empowered to ask a question if it’s unclear or unaware. Because I think these mistakes do happen sometimes, and it causes a lot of anxiety and stress, but also can cause inaction if students internalize that grade.

Jessamyn: Yeah, and from the faculty side, I mean, talk about stress. We’re so stressed out at the end of the term. If you’re grading a bunch of high-stakes exams, that’s stressful, not just for students, but for you. And I told them at the beginning of the semester, this is a class I’ve been dying to teach for a long time, because for years now I’ve been frustrated at the end of the semester entering final grades, and for a wide range of reasons. Sometimes I’d enter a final grade and be like, “Wow, this just doesn’t really reflect what I think happened for good and for ill. Like, no, I know this student learned and flourished and did a lot of important things. The grade doesn’t reflect that. I know this student was coasting through or was just jumping hoops. Did they really learn? Did I change anything about anything for them going forward? So there was a lot of frustration on my part, and then that high- stakes part. When a student comes to your office, when a student tells you that a bad grade is a huge flippin’ deal, they are not exaggerating. It defines who they are as students in so many ways for themselves and for others, and that is stressful not just for students but for us.

Ashley: Yeah, I also think coming, more from the student perspective, it is really jarring to not know where you’re at academically. Like I think for Cole receiving that grade. He was like, “Wait, this doesn’t make sense. But also, maybe it’s correct,” and the possibility that “okay, wait, maybe this is right,” and like maybe accepting that you didn’t know nearly as much about the subject or nearly as much about the class as you thought you did is a very jarring concept. I think finding out at the end, like, oh, according to whatever grading system my teacher is using. I didn’t meet the standards. I didn’t meet the expectations. It does take a toll on you mentally and makes you feel like, “man, what did I do wrong?” When in reality, if you use more of a system that evaluates students throughout the process and helps students understand where they’re at each step of the way, then you won’t end up at the end feeling like, “Whoa, wait! I thought I knew a lot about this topic, and I actually apparently don’t know anything.” [LAUGHTER]

Cole: I think Ashley summed it up tremendously. For that week, I think my professor was on vacation or something following the end of term, so it took like a few days for him to get back. And I remember those few days, I just couldn’t sleep. I was terrified because it dropped my GPA more than I’d want. And I will say this wasn’t one of my easier classes. I did have to put in a lot of extra work for this course, but to see like a grade that jarring just plummeted my hopes. And I remember I was visiting my brother in Canada at the time, and he would want to go out and do stuff. And I was like, I got to get this figured out before we do anything.

John: So, in this class, you explored a variety of alternative grading systems. What were some of the other grading systems that were discussed? How did students react to them, and had they ever experienced those in earlier classes?

Jessamyn: Yeah. So, in addition to Eyler’s book, students chose two scholarly articles to read. I gave them a huge long list because there’s been a lot of work published in the field on research on grading. In those articles, we looked specifically at specifications grading, standards-based grading, and what the authors termed ungrading. And then we also read some of Eyler’s discussions about some of those systems. I think that students were very interested, surprised that these existed. Most hadn’t experienced any type of alternative grading, although a few people had a few isolated instances. I will say though that in a way that really filled their professors’ heart with pride, they brought the same critical lens to alternative grading, and some of them could get so complicated so quickly, and some of the scholarly articles about alternative grading just get so complex. So students raised, like Jesse Stommel says, ungrading is raising a critical eyebrow at traditional grading practices, and students brought that same kind of raised eyebrow to alternative grading as well.

Ashley: Yeah, I think it was definitely a lot to take in with all the new grading systems that we looked at, and it’s kind of a mind warp when you’ve been graded the same way for your entire education to understand that there are other ways. But it was also interesting to see like where in my educational past I had these little hints of alternative grading. So, like, I had, in one of my college courses, a professor who did use a more standards-based grading approach, and we would do a task, and it was more like, “How well are you hitting these specific standards and stuff like that?” But ultimately, when you’re going to and attending a university that uses a GPA scale of 4.0, etc. you do have to eventually have a grade put in. So as much as we were learning about these grading systems, we were still graded traditionally. But I think I had little peeks of standards-based grading, and just really thinking about how these alternative grading practices focus on the process of learning and not the outcome. I think that was the main difference I saw was that our traditional grading system focuses on an outcome and penalizes the process of trying and failing. So we see failing as being a bad thing. You didn’t learn what you were supposed to learn when in reality to reach the specific outcome you need to try and fail sometimes. So I think my first reaction to the alternative grading was that it allowed for and encouraged the process of trying, even if you might have ended up failing and not accomplishing the goal. When you fail, you learn. So that’s a part of the learning process, which I think alternative grading really focuses on, and shows that transparency to students of, “Hey, you’re trying here. This is what you can learn from it. This is where we might not have hit where we wanted to, but I can now see as your teacher that you need extra support here. So let’s continue in that direction.”

John: A follow up for

Ashley: As you go into teaching, are any of those grading systems something that you might build into your own practice?

Ashley: Yeah, for sure. I think looking at the curriculums that I’m going to be using, I’m just kind of starting to dip my toe in and see what I’m going to be using this coming year. But I think an important part for me is even if I’m using a traditional grading system in my classroom, or that’s what the curriculum uses, there are still ways that I think I can make it a little bit more alternative. Like I think for me, an important part of my education and being in this class, one of the things that we did in this class was collaborative grading. So we would sit down with Professor Neuhaus and we would talk through kind of where we felt like what we learned, how we met the standards, and I think that just conversation of “Hey, where are we at?” or “Where do you feel like you’re thriving? Where do you feel like you need support?” or “How do you feel like you’re meeting these” was important. And I think in my classroom, I can definitely sit down with my students, even if it’s two minutes once a week with each kid, just say, “Hey, how are we feeling about math,” or “how are we feeling about the book you’re reading,” or having that kind of approach of “let’s talk through this,” or being transparent with them, especially as fifth graders, of “Hey, this is why I’m noticing, so this is why I’m providing you with the support.” I think a lot of the time we feel the need to hide that support from students and hide the fact that maybe they’re not where they should be, but I think that’s such an important part of using alternative grading and incorporating other elements is trying to say like, “Hey, this is where we can support you and making the student a part of the process.”

Rebecca: I think what I’m hearing you say, Ashley, is one of the things that’s often missing is that constant feedback and the ability to adjust, and that’s baked into some of these alternative grading systems. But we can also have those same features in other spaces. [LAUGHTER] So I find it interesting that you’re pulling out some features or things that really speak to you. So I’m curious, especially as Jessamyn had noted that there was some eyebrow raising [LAUGHTER] towards alternatives. So I’m wondering if there’s other features of alternative grading that bubbled up as features that students really leaned into or really enjoyed, but also features that maybe were really problematic or that they were challenging. For example, the level of complexity of some of these alternative methods.

Jessamyn: Yeah, I think the sometimes convoluted mechanisms of some of the alternative grading systems. Several students did point out that their experiences in some disciplines really did require some straight-up traditional exams and traditional grades… some STEM classes, and some other classes that students felt that way about… and I guess the other thing would be that, like Ashley said, that in most institutions, at the end of the day, there is a letter grade. So, how to live in that reality and provide those opportunities for mistakes and not pitting students against each other – that was some of the big takeaways.

Cole: As far as takeaways go, I think the biggest takeaway that I have is that students comes first. I mean, at the end of the day, it’s like educating the youth, the next generation. But this course really just allowed me to see while the student may come first, how does the system push against the priority of that? So I really do think, as Ashley said, being an educator now, teachers should able to sit down with each student and figure out their individual needs and stuff like that.

Jessamyn: Yeah, when it came to the actual grading of students for this class, it was an interesting problem putting together the syllabus. Like, how are we going to actually do that? And I will say I’ve never told anybody this, but my first draft of the syllabus was so overstuffed. I was going to try a whole bunch of different alternative grading. Like this assignment, we’re going to use this kind of grading. This assignment we’re going to use that kind of grading, and I knew it was too much content, too much stuff to cover, but I was still mulling it over when I went to the POD Network annual conference in November, and I went to a session facilitated by Jessica Tinklenberg and Jeremy Schneider about what they called negotiated grading. And Jeremy Schneider talked about the way he had used it in his first- year large writing classes, and I thought that really is the way. So I threw out everything I had already done, and I redesigned it to be a collaborative grading experience for students. So the requirement was the students over the first half of the semester and then the second half of the semester compiled into a portfolio evidence of their progress towards the learning outcomes, the documents and documentation that reflected their engagement or their reflection on the course material. They also did a field report where they came into class and talked about what kinds of grading systems they were experiencing that semester, and then I met with each student individually, and we collaborated on their grade. And I just have to say here too that I would never plant a flag and say this is the only way that you can do good grading. I know our embodied positionality, personality, teaching context – all those things shape what kinds of things we can try. But for this class, it worked really well, and it was very difficult, I will say. I have used aspects of collaborative grading before, but not for a whole class, and not for a whole class that was critiquing grading. [LAUGHTER] So I gave them a list of questions. They knew ahead of time, all semester, what questions I was going to ask at the midterm and then the final. And the final question was: “Show me the evidence of the learning in your portfolio and tell me what grade you think this has earned.” And so it was like we had spent all this time critiquing the limits of grades or the problems with grades, and then we had to say, “Well, but what’s the grade?” [LAUGHTER] So it was very new and different, that aspect of it. Like I said, I had done some types of this before, but not when we’d been talking about grading. And I just have to share this story about a class about the midterm grades and it stars Cole. So this is what happened. We had a class meeting right before our midterm grade conferences, and we were viewing the questions I was going to ask. And Cole asked me to tell the class… he was like, “But how specifically are you going to determine our grade from this meeting, like, should I be extra prepared? Would that earn me a better grade?” And I said “That’s such a good question. And no, really, you and I together are going to discuss this, and together we are going to decide what your grade should be.” And Cole was like, “Well, that sounds really radical.” [LAUGHTER] “I know. Yes, it is.” He’s absolutely right. It fundamentally upends a really basic power dynamic, a basic top-down power dynamic. And Cole’s authentic honesty was a constant throughout the seminar. He said, “Well, that sounds a little bit scary,” and I was pretty sure he didn’t mean I was scary, but I said, “So what do you mean?” And he said, “Well, that means it’s my responsibility. I have to take responsibility for this.” “I know, that’s right.” It was a huge light bulb moment for everyone, including me, because Cole was really pointing out how traditional grading, even with highly, highly capable, high-achieving students, it can reinforce passivity, this lack of agency, the sense that students are given grades, and they feel that way for a good reason. When the instructor wields that ultimate power over the grade, and the grade determines so much about students’ success,that can really undermine students’ sense of their own agency in learning, their own responsibility for learning. Cole, I hope it’s okay I shared that story.

Cole: It’s more than okay, and I can assure you when I said it’s scary, I wasn’t referring to you. [LAUGHTER]

John: And there were no FERPA violations involved in any of that, so we should be okay.

Jessamyn: Oh yeah, that’s good. [LAUGHTER] No, no, no.

John: For the last three and a half years or so, we haven’t really had many podcasts that did not at least bring AI into some form of the discussion. And one of the things that when we do workshops on campus about faculty addressing AI, one of the things I often suggest is that our traditional grading systems tend to have students focus just on getting the highest grade they can, without focusing as much on learning. What do you think about the possibility that using alternative grading systems, where more of the focus is on learning and reflecting on learning, might that affect students’ willingness or inclination to use AI as a substitute for learning, just to get that highest grade, since that seems to be the focus of so much of the current structure?

Ashley: Yeah. So this question actually reminds me a little bit of… I had one thing I wanted to add to a question that Rebecca had asked, which was about if we had any like hesitations or what our critical thoughts were about alternative grading, and if there was any downsides that we had seen. And one of them actually was that if there’s not that grade that you’re trying to achieve, what’s going to motivate students? Because a lot of the time we see that the grades are the motivation. And I think in terms of looking at these alternative grading systems and trying to figure out what’s going to motivate students to do their best and to actually learn, as opposed to either learning to get that highest grade, or if we’re using alternative grading, using AI or some sort of help to just get the process done. I think it really comes back to that intrinsic motivation and fostering a love for learning and the importance of learning in your classroom. I think that’s one of the things that I’m really aiming towards for my classroom is making sure that I’m instilling that love for learning in my students and showing them how learning and knowing all this information and understanding the world from a more critical lens can help them be a better person, help them be more knowledgeable and be able to really know things and go into situations feeling equipped to handle them. So I think it’s definitely a battle, especially in colleges and high schools, to not have students be using AI to get the assignments done. But I think for me, I found that when I was really interested in what I was learning, and I had a relationship with my teacher, and I wanted to show them too that I was interested in what they were teaching, and that I wanted to hold up my end of the bargain and learn and actually understand things. That that is really helpful in terms of kind of fighting back against this use of AI to help accomplish tasks in schools.

Rebecca: Sounds like we have a bright future in education. [LAUGHTER]

Jessamyn: I know. That school is super lucky that hired you.

Ashley: Oh, thank you.

Jessamyn: I would say also there’s a bigger picture issue, and it goes to what I was saying earlier about the power dynamic. And I have found over the course of my many many years of teaching that if I can collaborate and work with students to address things going wrong and problems that arise, it is always more effective than if I just try to implement what I think should happen. And again, a lot of that I was able to develop over a long career with employment security and certain positionality privileges, but this is probably going to be out of date by the time this podcast airs in a month, [LAUGHTER] but the problem of offloading certain tasks to AI is one that I would say if I was encountering in my class, I would say, students, what can we do about this problem, and then see what we can come up with. Everything is changing so quickly in that area. There’s so much fear and uncertainty that it seems to me that really working with students is not just the best option, it’s really the only option. And in my experience, and I have taught at a variety of institutions, the students rise to the occasion. So when I’ve encountered problems like everybody’s looking at their cell phone instead of engaging in class, what can we do about this? Let’s do an anonymous survey. Let me throw out some suggestions. Let’s brainstorm together and come up with some strategies, and then revisit that halfway through the class. And I think the same thing applies to this use of AI in the assignments. Is there an assignment that I think is particularly important, and I’d be really nervous, will students use their own brains to do this? Then I’m going to have to bring them, actually, like you were saying, into the conversation and to see well, what do they think about this? How can I make it seem more relevant? What can I do in terms of maybe offering a way to practice or make mistakes, but I need their ideas and their voices in that conversation, like this one we’re having right now.

Cole: Just a comment on it. I do think AI does reflect a sort of I don’t know if failure is right word, but ideally, if you could get by without using it, that’d be more ideal. Because at the end of the day, I do think AI is like a tool, and it should like stay a tool, not like an asset for you to pass. Because as soon as you’re relying on it for every assignment, for example, I think at that point you need to reevaluate if this is the course that you should be in. I remember I would use AI to make test reviews. I would copy paste my online notes into an AI engine, and I would be like make a 20-question test where you’re using the following format, save the answers for the end. But that’s how I would exclusively use AI. Other than that, I would go out and do my own research. I would use my own intellect for my assignments. But of course, I have seen my peers use AI in different ways that they use AI. And at the end of the day, it really I think does come down to the educator to make sure that their content and their teaching style is like engaging enough that your students really do leave the classroom or leave the lecture hall with a sense of understanding. I took some higher level courses this past semester where I did leave confused and I’d have to look at the textbook for an hour or two each night, just to try to catch myself up, and it’s situations like that where I do understand why a student would resort to using AI.

Ashley: Yeah, I think it’s definitely where we live in a day and age where there’s so many people who are turning to it for even small things, and I think definitely in school settings, I see a lot of my peers turning to it and using it for whether you know it can be argued either way of if it’s an appropriate use or an inappropriate use. And AI is so new in the grand scheme of our history that we’re still in the thick of figuring out what’s appropriate. And obviously, each person has their own opinions. But kind of going off of what Professor Neuhaus was saying, I think involving students in those conversations, is also, I agree so critically important. As a student, I always really appreciated when I felt like I was being involved in the conversation. There was one time during our class where Professor Neuhaus said, “I’m actually gonna leave the room. I want you guys to talk about this without me here, and then I’m gonna come back and you tell me what you came up with, or what you like.” We really felt like we had a lot of autonomy over what was happening in the class and the questions that were asked, the things that were talked about, and I think involving students in the conversation and showing them that you really do value their input can increase that motivation that I was talking about earlier. And I think with AI having conversation of, “Hey, this is something that I’ve noticed. What do you guys think about it? How do you feel?” And rather than it being like a “gotcha, you’re not allowed to use it.” Kind of involving in the conversation of this is something that we’re all working through together, all of us as a team against the problem, rather than a teacher versus their students type of thing.

Rebecca: What I’m hearing thematically is a lot about the role emotions play in grading, but also in whether or not you might feel like you need to resort to using AI in certain contexts. And so, as I was listening to Cole and Ashley today, I’m thinking about the times when you’ve highlighted the importance of feeling a sense of belonging, or a collaborative environment, or a good relationship with a faculty member, [LAUGHTER] and that you feel like you can achieve something, or that it’s possible. Those are all things that seem like a lot of different kinds of classroom settings can cultivate those positive emotions that might lead to a more positive experience.

Ashley: Absolutely.

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

Jessamyn: So I am currently completing a manuscript, a book-length project on teaching and learning with the Unessay that will be published in the Oklahoma University Press series “Teaching, Engaging, and Thriving in Higher Ed, and of course, I will continue here as the Director at the Syracuse Center for Teaching and Learning Excellence, and I hope to be able to teach this class again. I won’t be able to teach it this year. I’m hoping next year.

Rebecca: Awesome.

John: And when will that book be coming out?

Jessamyn: As soon as I finish the revisions that I just got from the readers, and I kill off all my darlings.

Rebecca: oh, oh…. [LAUGHTER] How about you, Ashley?

Ashley: I’m starting my new job as a fifth- grade teacher in this coming fall. So just a few more weeks when this podcast comes out, it’ll be right around my time where I’m doing my new teacher training. So I’m very excited for the year ahead. I think it’s going to come with lots and lots of learning. I think it’ll definitely be a rigorous year, but I think it will be a lot of fun, and I’m really excited to be able to accomplish what I’ve been dreaming about for the past many years. I’ve wanted to be a teacher since I was a wee young child, so even though I’m dealing with some stress about the school year and planning and all that stuff, I’m constantly reminding myself that this is what I’ve always wanted, so I’m very excited and very grateful.

Rebecca: We wish you the best in your new adventure.

Ashley: Thank you so much.

Rebecca: How about you, Cole?

Cole: I guess begin sophomore year, [LAUGHTER] and see where that takes me.

Rebecca: It’s a good attitude.

Jessamyn: Cole, You’re doing the library advisory board next year, right? And you can follow Cole’s Adventures on LinkedIn, his professional adventures.

Rebecca: That’s great.

Ashley: I really appreciate you guys giving us the space to talk about it and asking such thoughtful questions and hearing about what we have to say about the class, especially for Cole and I. I think being a student and being involved in the conversations. Obviously, now that I’ve graduated, I guess I’m technically not a student anymore. But at heart, I still am, [LAUGHTER] and I think it was a great experience to get to talk so thoroughly about our experiences. So, thank you.

John: Thank you all for joining us. This is a really interesting topic, which I think more and more faculty are considering.

Rebecca: Yeah, and we appreciate you all.

Jessamyn: Thank you

Ashley: Thank you so much.

Jessamyn: Thanks for having us.

Cole: Thank you very much.

[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]

448. AI-Aware Teaching

While there is substantial debate over the appropriate role of generative AI in higher education, one area of agreement is that AI cannot be ignored. In this episode, Annette Vee, Marc Watkins, and Derek Bruff join us to discuss what faculty need to know to be AI-aware in their teaching.

Annette is an Associate Professor of English at the University of Pittsburgh where she has been actively involved with AI initiatives. She is the author of Coding Literacy: How Computer Programming is Changing Writing and is co-editor of TextGenEd: Teaching with Text Generation Technologies. Marc is a Lecturer in Writing and Rhetoric and an Assistant Director of Academic Innovation at the University of Mississippi, where he directs the AI Institute for Teachers. Derek Bruff is an Associate Director at the University of Virginia’s Center for Teaching Excellence, where he supports faculty in integrating generative AI in their teaching. He is the author of Intentional Tech: Principles to Guide the Use of Educational Technology in College Teaching and Teaching with Classroom Response Systems: Creating Active Learning Environments. He is the host and producer of the Intentional Teaching podcast. Annette, Marc, and Derek frequently serve as keynote speakers at academic conferences and write frequently about AI and higher education on their blogs. Annette, Marc, and Derek are the co-authors of The Norton Guide to AI-Aware Teaching.

Show Notes

Transcript

John: While there is substantial debate over the appropriate role of generative AI in higher education, one area of agreement is that AI cannot be ignored. In this episode, we discuss what faculty need to know to be AI-aware in their teaching.

[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 guests today are Annette Vee, Marc Watkins, and Derek Bruff. Annette is an Associate Professor of English at the University of Pittsburgh where she has been actively involved with AI initiatives. She is the author of Coding Literacy: How Computer Programming is Changing Writing and is co-editor of TextGenEd: Teaching with Text Generation Technologies. Marc is a Lecturer in Writing and Rhetoric and an Assistant Director of Academic Innovation at the University of Mississippi, where he directs the AI Institute for Teachers. Derek Bruff is an Associate Director at the University of Virginia’s Center for Teaching Excellence, where he supports faculty in integrating generative AI in their teaching. He is the author of Intentional Tech: Principles to Guide the Use of Educational Technology in College Teaching and Teaching with Classroom Response Systems: Creating Active Learning Environments. He is the host and producer of the Intentional Teaching podcast. Annette, Marc, and Derek frequently serve as keynote speakers at academic conferences and write frequently about AI and higher education on their blogs (which we’ll link to in the show notes). Our guests are the co-authors of The Norton Guide to AI-Aware Teaching. Welcome, Annette, and welcome back, Marc and Derek.

Annette: Thank you.

Derek: Thanks for having us.

Marc: Yeah, thank you, guys.

John: Thank you for joining us. It’s great to talk to all of you today. Today’s teas are:… Annette, what is your tea? [LAUGHTER]

Annette: I have to confess that we are out of tea season. For me, it is warm, and I’m on my third floor office, where it is not air conditioned, so I’m just drinking water. But I like tea. I like herbal tea… when it’s cold outside.

John: And Marc, are you drinking tea?

Marc: I wish I was. Our tea kettle in the office is broken today, so I have a very anti-tea Celsius that is a Kiwi Guava flavor, so it has caffeine and its liquid, [LAUGHTER] that’s the sort of the most related thing you can have with tea. But yeah, unfortunately, I’m like Annette, I don’t have access to good tea right now.

John: And Derek?

Derek: Well, I’m 0 for three. I am drinking coffee, [LAUGHTER] but I am drinking it out of my tea for teaching coffee mug.[LAUGHTER]

Rebecca: I think that might be blasphemous. [LAUGHTER]

Derek: I think I should get some points for having the on-brain coffee mug today.

John: Yes.

Rebecca: I think it’s good. It’s good.

Derek: Thank you, John, for gifting me a coffee mug when I saw you a couple of years ago.

Rebecca: It’s a tea mug. [LAUGHTER]

Derek: Not right now.

John: it’s a tea for teaching mug, and I think it was a coffee mug last time too.[LAUGHTER]

Rebecca: Yeah.

Annette: Get into some Wickenstinian conversations about definitions here. [LAUGHTER]

John: Well, I went to the POD conference with, I think, 48 tea for teaching mugs, and I think I came back with about two or three of them, because the whole place was filled with former guests from the podcast.

Marc: That’s great.

Annette: That’s lovely.

John: It was nice to be able to distribute them. And Rebecca, your tea?

Rebecca: I have British breakfast, nice and piping hot.

John: I have darjeeling tea today, which I picked up at the tea caddy at Epcot at the OLC conference last fall.

Rebecca: So we’ve invited me here today to discuss the Norton guide to AI-aware teaching, apparently, and not tea. [LAUGHTER]

Annette: It’s good because the conversation’s over otherwise. [LAUGHTER]

Rebecca: So, can you tell us a little bit about how this project came about?

Annette: Sure, I can start with that. So, this project was kind of a brainchild of Norton themselves, and I had been working with Erica Wnek, who is one of their fabulous editors there, and who works with composition, in particular. I’d been doing the Everyone Is an Author book. They wanted to add a chapter on AI for their next edition, which just came out, I think, in the fall, and from there we started talking about what else Norton might be able to do to support teachers with AI, and I started writing for a Substack, a newsletter that they launched, and worked with Erica primarily on that. It was the first time that Norton had done a Substack like that, and it ended up being reasonably popular, and then there seemed to be some demand for further guidance about AI teaching, but in particular teaching in the midst of AI that wasn’t just, “Hey, let’s lean into AI or here’s how we kind of route around AI,” but something a little bit more measured that was kind of the voice that I had been using in that blog, and so Erica asked me, “What would it look like if we did some sort of guide like that?” At first, I thought, “Well, there’s so many guides out there,” but ultimately I was interested, and even better was that they were really interested in recruiting some excellent co-authors, and so from there they brought on Marc and Derek, and so I can pass that off to them, which I think has really been wonderful for the project.

Marc: It has indeed. I really have learned a lot from both of you writing this, and it was kind of a sprint to go through this, and I think as we were writing it, we were both going through our own sort of basic just feelings about AI and seeing how other people were dealing with it too. We’ve been there for the. Last three and a half, four years, and asking ourselves some very deep questions about our own work with this technology, too, where this is coming to intersect, and trying to help faculty tred a path forward.

Derek: I’ll add that, as Rebecca mentioned, I’ve written a couple of other books on teaching with technology, and I think I have a writing voice that works well with Annette and with Marc, and with the goal of this project, a mix of what does the research tell us, to the extent that it tells us anything, what are the big ideas we need to be grappling with, and what does this look like in practice? I think that’s one of the things I really like about this book, is there’s lots of examples of how faculty are adapting and responding to AI in very concrete ways. That’s what I love to do, is to talk to faculty about what other faculty are doing, and help them see how they can adapt that to their own teaching. Yeah, so happy to be a part. And also, I would say I haven’t co-written before this project.

Rebecca: I didn’t know that, Derek. You reveal that now. [LAUGHTER]

Derek: I was a little skeptical. I kind of like to be in my own space when I’m writing, but this has been a really, really enjoyable process of drafting and getting feedback and revising and commenting and figuring out the structure together. I like the co-writing a lot more than I expected I would.

Annette: That’s really nice to hear. I want to say, too, that Norton brought us together, which I think is wonderful, because they just had like great vision of how we could each bring different expertise, which I think was like absolutely true. But the other thing is that I knew Derek and Marc’s work before this, and so I was really, really glad to be able to collaborate with them, and I do think, like BTS or other bands that the studio brings together, sometimes there’s just synergy, and it works. [LAUGHTER]

John: I really do like the title of AI-aware teaching, which I think fits nicely with Annette’s comment that it was somewhat in the middle, not at one of the poles, as many of the other books and approaches tend to be. Before we start talking about AI and teaching with AI, could you explain what you meant by AI-aware teaching?

Annette: So, I can start with that one. As Marc said, we were all in the process of writing this book, confronting our own feelings about AI in complex ways, and I think all of us had been wrestling with this, of course, before the book, because we’d all been working in this space for years, but the fact that I am absolutely an AI user, I find it really interesting. My work is in writing technologies, it’s the most exciting writing technology, certainly in my lifetime. So, there’s all these really interesting feelings, and then as a teacher, there’s these other feelings about students and shortcutting and the future of higher ed, and all these things, but the main thing is, as a technology, I think it’s just really important to be aware of what it is and what’s out there, and what that means is, for AI-aware teaching, it means understanding what the technology is and does, and not, you know, what it did three years ago, but what it’s doing now, and what are the possible future trajectories for it, and that includes all sorts of things about environmental impacts and politics, as well as the technology, and then also what students are actually doing with it, not what we would like them to be doing with it, or what they say they’re doing with it, but what they’re actually doing with it, so that involves a little bit of research and listening, and then figuring out what it is that we want students to get out of our classes, rethinking our learning goals, things like that, and then kind of recalibrating, given the current landscape, how we get to those learning goals that we have had, or revisiting those learning goals, maybe they need to be revised, and that is, I guess, my kind of sense of AI-aware teaching.

Derek: And I’ll add that I feel like there is a lot of discourse in higher ed that seems to indicate there are two camps: either you are refusing to use AI or resisting it, or you’re all in and you’re doing all these things with it, and I like the AI-aware framing, which is to say those could both be reasonable choices, but we need to understand what we’re dealing with, both the technologies and our students and our own teaching goals, and then make informed intentional choices. And I would argue that most faculty, once they’ve gone through that process, land on some mix of resisting AI in some parts of their teaching and engaging with AI in other parts of their teaching, and I think that’s okay, and I think we have a lot to offer in the book for faculty who are any mix of those two poles in how they actually practice AI-aware teaching.

Marc: Absolutely. I find myself sometimes in the middle of an assignment, designing assignment, being drawn into, let’s use AI, this aspect, let’s absolutely resist, refuse using AI in these different aspects, and then thinking about, from the student experiences, how they’re going to go through those same types of things to confront it. I think Annette’s point too is very apt for a moment too. The interface behind ChatGPT has not changed, but the models have underneath it, and the expectations I have from a lot of faculty is that they’ve tested these systems back in 2022/3, or 24 that they have a singular experience using them, and it was not very good or productive. Now things have changed pretty radically. These are not just language models, they’re, in theory, world models gainng the simulations of these different types of experiences, and so we have to be aware of what that is going to do for ourselves and for our students, and there are some, I think, very good benefits that can come out of this, but also be very cautious about it too, just trying to find that balanced pathway.

Rebecca: Can you talk a little bit about the structure of the book? There’s a couple parts to it. Can you reveal the underlying structure?

Derek: Yeah, I’ll take a stab at that. The book has two parts, and like these books, you can read any chapter in any order you want. I never do that. That’s not who I am. I read things from front to back. [LAUGHTER]

Annette: You’re revealing a lot of things today about yourself, Derek. [LAUGHTER]

Derek: People tell me they read books in other ways. [LAUGHTER]

Rebecca: All these exclusives…

Derek: But, I do think part one is meant to be moved through somewhat linearly, and that it walks you through the AI-aware teaching idea, so that we’ve have a chapter on what AI is and what it does. We have a chapter on how students are using AI, as best we can tell from the research and the surveys and the focus groups that have been done. And so the goal of part one is to help you do those aspects of AI-aware teaching, and then hopefully land on an approach to AI that really fits your course and your goals, and to start to shape how you might communicate that approach to your students through policies or guidance. Part two is very much more a random access part. We have a chapter on in-class activities that are AI aware and out of class activities that are AI aware. We have a chapter on AI and reading, a chapter on AI and writing, a chapter on AI for tutoring, and so it’s much more about where do you see AI showing up in the particular pieces of your courses and your teaching, and what ideas can you get to help you make again more informed intentional choices in those particular aspects. We also have a chapter on AI and academic integrity, because that’s kind of the elephant in the room. [LAUGHTER]

Annette: …that’s the first thing everybody asks us at workshops.

Derek: So we put it last.

Marc: It is, yeah. yeah, yeah. You got to get through the book if you want to get to the last chapter.

Derek: Well, I do at least.

Annette: Yeah, yeah.

Rebecca: I like how it was almost an afterthought there, In the way that you’re presenting it, [LAUGHTER]like it really was an elephant in the room.

Derek: Yeah, because I feel like it’s where so many conversations start, but I don’t know that those conversations are always super productive. I think it’s much more productive to get more grounding in who our students are, what the tools are doing, what our goals are, and then once we’ve got some of that infrastructure, that kind of mental infrastructure in place, we’re in a much better position to make good choices about how we respond to academic integrity concerns.

Marc: Imagine that, approaching this from not an emotional standpoint, but one that’s actually based on evidence of those types of things. I kid, of course. I mean, look, a lot of people are at that really gut-wrenching situation three, almost four, years since ChatGPT was launched. I do think one of the goals that I had personally writing this book, too, was to figure out ways to help faculty move past that initial gut reaction of just thinking about ChatGPT, generative AIs, as a cheating tool, and to start thinking about more broadly about when is it acceptable to use this, when it is not. How can we articulate that to our students through our learning outcomes? And what we did, I think, a really good job in the book, too, is looking out at the world of academia, too, and finding wonderful examples from faculty in how they’re actually incorporating a lot of these different types of experiences for their students, and how they’re sort of wrestling with these questions too.

Annette: Yeah, absolutely. I do think that that’s really the most exciting part about this book, is that we feature so many really concrete, tested examples from teachers at community colleges, at research universities, teaching colleges, just like everywhere, and for a long time I ran our graduate training in the English department for teachers, and now I run faculty development for AI, and this book sort of answers a lot of questions of sources that I would like when I’m teaching those kinds of things, like what do I want to assign that gives a kind of theoretical background, and also that kind of trust students, acknowledges student agency, trusts teachers and their expertise in whatever disciplines they’re teaching in, because it is meant to be something that moves across disciplines, and then gives them a whole bunch of examples, and there’s not answers in there, but there’s a whole lot of things to adapt, and so hopefully that’s useful for working teachers.

John: As you’ve noted, one of the concerns that many faculty have is that students may use it in ways that are not conducive or supportive of their learning. And actually, Derek had a recent podcast where he was talking with some people in math, how earlier on it was easy to detect the use of AI, because AI tools often got things wrong, but that’s much less true today, especially for the paid versions and the deep thinking versions of these tools. So, what are some strategies that faculty can use to assess student learning and their skill development in a world where they have access to these increasingly capable AI tools?

[AWKWARD PAUSE]

Marc: Let’s keep the awkward pause in here… [LAUGHTER]

Annette: I do feel that awkward pause. [LAUGHTER]

Marc: I do. Well, I can take the lead here on this one, if you guys don’t mind, then I’ll hand it off. I think strategies are evolving. I think that how we are seeing these tools being deployed and marketed to students, too, is part of our awareness to see this sort of version of it too. AI detection is also changing alongside all these other tools as well. I’ve really leaned in personally for myself, and also included examples too, about emphasizing disclosure when AI is being used, both from the student perspectives, but I think it’s also important for faculty to start having these conversations themselves, too. We are not only seeing students use AI, we’re starting to see faculty now really adopt these in all parts of the course, including in some cases grading. So, if you’re going to use AI in that sort of manner, too, you probably want to think about disclosing it as just sort of a baseline expectation and giving some great examples about what, as I said, in a recent talk, too, there’s performative disclosure, there’s exhaustive disclosure, we give them everything, but then there’s authentic disclosure, where you want to have a conversation, we want to have a dialog about how AI is being used, because in some ways you’re genuinely curious about how this is actually being used by students, and if it can be able to support them, and there’s lots of analytics you can use with the course management system, too, to track student behavior. That’s one thing to kind of be there to just make it visible, but the main strategy there is that you really want to have a situation where you can have conversations with them in some way, shape, or form. That’s very difficult for a high enrollment class, or if you’re teaching six sections, which some of our faculty are doing, and can’t actually have those types of relationships,

Derek: I’ll add that what I hear fairly consistently from students through surveys and panels that I’ve been a part of is that they want some clarity on what the boundary lines are around what’s appropriate use of AI and what’s not, and there’s lots of different ways to try to communicate those boundary lines. There’s the AI assessment scale, which says for this assessment, these are the types of uses that are okay. You can do it at a course level and say it’s okay to use AI for figuring out a hard concept or brainstorming ideas, but you can’t use it for drafting, or you can use it for editing. We’ve seen lots of different examples of how faculty are helping to define those boundary lines for students. In some cases, to Marc’s point about good conversations, they are figuring out those boundary lines with their students through conversation. They’re kind of coming together to come up with good policies around this kind of thing. And I think, though, an important piece of this is that most students want to know kind of what’s allowed and what’s not allowed, right? That’s a big piece of it. But I think students are also concerned about what’s going to help my learning and what’s not going to help my learning, and they are not always in a good position to know what uses of AI are going to be conducive to their best learning. They’re novices, they’re figuring out how to learn. We may have a better idea of that. We may be figuring it out too, in many cases, because AI is so new, but it’s not just about how can we secure our assessments. And from the student’s perspective, it’s not just about how can I stay out of trouble, but there’s a strong element of how can we actually help learning happen in the ways that are meaningful, and figuring out those boundary lines together is one way to get at that shared goal that we and our students both have.

Annette: I think that’s important, that shared goal, because one of the things that we know from what students tell us about their experiences of AI in classes is that they are really frustrated about a lot of what’s happening in that there is lack of clarity in policies, most of what they see in policies is do not do this, rather than here’s some good ways to use AI, and they find that sometimes infantilizing, I think, and unrealistic, and then they also don’t like it when their peers are overusing AI, and that kind of cheapens their own experience and degree and their effort, and so they have a lot of feelings about it. Marc started out by saying, talking to students, I think that’s really the crucial thing, and I think there’s ways you can do that and certainly we talk about that in the book, you can do that in large lecture classes and through asynchronous surveys, all sorts of ways. It’s possible to hear from students in a lot of different ways, but I think that’s super important, and also one of the reasons why I said in the answer to the last question about student agency is that we need to make sure that students are getting what their goals are out of our classes, we have external goals and things that we want them to get out of classes, but they have their own goals, and they have their own interests in learning, as Derek mentioned. So, can we help them align those goals that they have to what we’re doing in the class, and help them articulate how this class is going to help them in the future, because our students are also nervous about job prospects and all sorts of things, and I think the more that we can lean into the fact that we’re there to support their learning, we can help all of those conceptual things. The other thing that we talk about in the book some is the University of Sydney two-lane assessment, which I think is a helpful framework, thinking about, on the one hand, secured assessment, and that is like proctored exams or things where you have a really clear idea that the person who is represented here in this space is the same person you’re assessing learning of this particular person, and then you’ve got a lot of spaces of open assessment where students are doing homework, low key, et cetera, they may or may not be able to use AI. And so, I think that one of the reasons why we get that question all the time, about like, how do you stop students from cheating, or whatever, in workshops, is that the labor that teachers are going through is so significant right now, and nobody wants to do the surveillance and policing, zero teachers want to do that, and trying to figure out how do you actually assess what a student is doing is so much work, and so if we can narrow that space down, and then let students play around a little bit more with here’s possible positive ways of using AI to enhance your learning, in ways that they may not necessarily know already. As Derek said, they want to work on their learning, but it’s not always clear what that looks like, and that’s part of why we have teaching experts in the room, that is us, right? So we’re giving all very complicated answers to this, and that’s because there is no silver bullet. We keep coming back to that in the book. There are no easy answers, and we do not give easy answers in this book, because they’re just aren’t present.

Marc: That’s absolutely right. And she also hit on something that I think we were all really attuned to, is the labor of this going through the sort of response to AI. Doesn’t matter if you want to engage AI to or refuse it to, you’re still going to have to really focus on work, and part of what we’ve been doing too is trying to find different strategies to support faculty, so that’s not so overwhelming, trying to think about even taking some steps from, like, Jim Lang’s small teaching moments to bring up these types of conversations, because we realize that not all faculty are going to have support from wonderful teaching and learning centers. Some faculty are going to be contingent and sometimes not have much support at all, too, and they still are going to want to practice some type of AI awareness with their class and their actual day to day lives, so labor, I think, is a really big one we’ve been talking about as we go through it.

Rebecca: I think one of the spaces we get a lot of questions is on the asynchronous online environment, in particular, because it’s extra challenging to figure out ways to do assessments or to do quick checks for learning in that environment where it’s completely vulnerable to AI in the ways that maybe we have historically done these things. Those that teach in in- class settings have moved to using blue books and some other things occasionally. What advice do you have for some faculty that are specifically in this asynchronous environment that are hitting some slightly different challenges than you might encounter in a face-to-face class.

Marc: I think the best piece of advice I could offer, because I drafted, I think, a chapter that we try to talk about this, is to breathe and not take this personally. It’s not against you, and there’s certain things you can control. Sometimes you have options with your modality you pick as a teacher, sometimes that’s picked for you, but you can also really search for ways that you are more present inside of your online class that makes it more embodied for yourself and for your students. I’m doing that myself now too, with my hybrid and online classes too, trying to be more there with them, having more conversations, and just also making myself more available to them too, because one thing that I think we’ve all noticed is that if you are doing an asynchronous course on autopilot, not only is that very prone to AI misuse, but also there’s a debate too, if you’re not there as the teaching expert, that you’re not there as the person in the room, too, what is necessarily being lost if a student is going to use AI in that context? So that does really reveal a lot of our practice that we’ve gone through to start thinking about it. For the security aspect, too, there are layers of things that you can do in these courses. You can, if you’d like to engage a lockdown browser for some assessment types, secure it. That’s not going to work for everything, but you can also switch over and think about doing a mix of video assignments. I do a lot of work instead of the discussion board in my online classes with videos. I don’t do the talking head thing anymore, too, where they just read a script, which, because that script is generally generated by AI, I have them actually write something or do something else there with, if they’re doing a multimodal project, share their screen and work in real time on the screen too, or they do a recording of that asynchronously, so I want them actually working in practice, showing me that process, because even the AI is involved in that too. They’re still working through those decisions, they’re still thinking about those things. So, there are some strategies we can use. They are going to be complicated. I do think we need a little bit more support from our course management systems to work with us, especially now that agentic AI is here. How many students know about agentic AI, I think is a very good question. I think most of them will associate generative AI with ChatGPT, just like Google is synonymous with search. I don’t think they’ve risen to the point, too, of they’re all going out to use agents to go through and crash their courses. I would actually say that faculty are maybe more aware of that than students are, which is a good thing to start thinking about where this is headed, but it is something to be thoughtful about as we go forward too, because as these systems become more and more advanced and also more autonomous in what they can do with the different workflows, it’s not just gonna be students that are going to be adopting them, we have news that Canvas is going to have an AI teaching agent there as well, with certain limitations and guardrails, but this is just sort of the start of this new version of working with these tools, and we need to start thinking about what sort of boundaries we want to put in place, both for students and for ourselves with them.

Derek: I think for the online space, as you say, Rebecca, the online asynchronous is kind of the perfect storm of AI problems. I’ve been thinking that there’s an impulse to try to solve that problem through better course design. If we can have more transparent learning objectives, if our assignments are more authentic, if we can combine those, so students know here’s why I’m doing this project, and here’s what I’m going to get out of it, and it aligns with my personal and professional goals. Those are all things that are going to help students resist an unhelpful use of AI and lean into the hard work of learning. I don’t think that’s sufficient. [LAUGHTER] I do think that’s necessary. I think that’s good teaching to begin with. I do think we also need to have a cybersecurity mindset that says there’s going to be bad actors who are using tools that are problematic, and we’re going to need help from our IT infrastructure to figure out how we can block things and prevent things. I think there’s sometimes an impulse just to do that, right? Like somehow we can technology our way out of this problem. I really do think we need both. I think we need better curricula that better align with students’ goals in more transparent ways, and we also need to think about the technology tools that we’re going to use. So, one of the metaphors I think I shared with our author group was the notion of a locked door, so I have a locked door in the front of my house. It’s my understanding I haven’t tried this, it’s my understanding that with about an hour and a few simple tools and YouTube, any one of us could figure out how to pick the lock on the front of my door. The technology itself is not super secure, but it communicates to anyone coming by, you’re not supposed to just walk in my house, you need to ask first, and so sometimes it’s tempting to think about the kind of anti-cheating technologies as like a secure barrier, like we’re going to keep out all of the cheating, we’re not going to keep out all the cheating, we’re going to keep out some of the cheating, but we’re also going to communicate what those boundary lines to students are a lot more clearly to say these are signals we give to students to say don’t do this and please do this instead. The research on academic integrity says most students don’t cheat because they’re evil people, [LAUGHTER] mostly it’s because of the current environmental situation that they’re facing. And so if we can create those signals and boundary lines that help students make a better choice in the moment, I think that’s a lot of the good that we can do in this case.

Annette: I love that metaphor of Derek’s. I think it’s really helpful, but one of the things that signals is not only to the students who would be cheaters, who might, if it were just a little bit easier, make a different decision, but it’s also indicating to students that their fellow students are getting the same message, and so there is a “here in this space we respect academic integrity, and that means you should also feel comfortable doing the real work and leaning into the hard work of learning,” as Derek said, because they do feel like suckers if they’re doing that hard work and their peers are not, even if it’s not on a curve, you know, whatever, there’s like that deep inherent feeling of unfairness, so I think that’s really crucial. Marc brought up the point of agentic AI, and how that might be more of an issue in online teaching, and that maybe faculty are more aware of it now than students, which is maybe a good space for us to be thinking about that. One of the reasons why I feel like I’m not as worried about agentic AI is that it is so clearly an academic integrity violation. Something else is impersonating you and doing the work of you on a platform, which isn’t to say that it won’t happen, of course it’s happening even now, but that casual, like, is this or is this not against the policy? It’s really against the policy you survey students, and they’re like, “No, flat out, that is just absolutely wrong,” versus, “well, this policy says no AI, but it doesn’t go into details, and I did some brainstorming, but I didn’t use it for writing,” like that is “who knows, like maybe,” they weren’t really specific. So I think that’s more the space that when we talk to students, we can help them think through, “Okay, this is why I really don’t want you to use AI for brainstorming… for these specific reasons here, and maybe it’s good in other contexts, but not here.” And so this is why I think agentic AI, certainly we should be paying attention to it, but I just do not envision a future in which all college students are absolutely botting their way through their degrees.

John: You talk about a number of strategies that can be used in terms of getting student buy-in to reduce the excessive reliance on AI, but are there any other strategies that you can think of that might be able to deter students from using AI in ways that are harmful?

Derek: So, I can think of a couple more. We’ve talked about the big ones around having transparency with students about learning objectives and what they’re going to gain out of this learning experience, we’ve talked about more authentic assignments that kind of connect more with students’ interests. I think a lot of faculty are experimenting with alternative grading schemes that are changing the motivational landscape for students and giving them more opportunities to revise and resubmit and try again. That’s going to take some of the high stakes away that might lead students to take shortcuts. Again, not a silver bullet, but it’s part of those environmental factors. We talked about online courses, and it’s easy sometimes to forget that even in online courses our students are humans with bodies in real physical environments, and so I’m seeing some faculty start to think creatively, like Marc was saying, about how could we do some process tracking where they are doing some work, and it’s recorded, or are there assignments that are going to get them out of their laptop zone and into the real world to do something that’s connected to your course? Again, not a silver bullet, but adding that to our mix of engagements, I think, can help students shy away from shortcuts. And the other thing I would say is, I referred to this earlier, students are learning how to learn when we encounter them. We are probably better learners than they are, maybe not in all cases, but we’re experienced academics, we’re pretty good at learning. AI is changing how we approach learning in our own disciplines, but what I would argue for is giving students more opportunities to do some metacognitive work, reflecting on their own learning in our courses, and thinking about how they used AI. Was it helpful? Was it not helpful? They had to read a hard chapter this week. What were the strategies they used to make it through that hard chapter? Which strategies were more or less helpful for that? And some of those strategies may involve AI, and some may not. Our students are going to go, and they’re going to have access to AI tools when they leave us. Hopefully, we can equip them to use those tools with some level of discernment, and that involves some self knowledge and some metacognitive thinking, and so I think we should start to build those opportunities in our courses for students.

Rebecca: Well, you’ve teed this up nicely, Derek. Thinking about the workplace and how AI is used in the workplace, are there ways that we should be rethinking or adjusting our learning objectives for our courses to either cycle out some skills or particular things that maybe were in there before, and put in some new things. I think at the top, Annette, you talked a little bit about a moment to reflect on [LAUGHTER] learning objectives and potentially take it as an opportunity to revise.

Annette: Yeah, absolutely. Derek used the word discernment, and that’s a word we really hooked into in the book, is thinking about how students can exercise careful judgment about when to use AI, when not to use AI. We all know a dozen examples of contexts in which people have used AI in places that are absolutely inappropriate, either for human means, either for signing off on something that shouldn’t have been signed off on, hallucinations, inaccuracies, all sorts of things, and I feel like my goal is to have students [LAUGHTER] not do that, like don’t put us in the headlines, you know,[LAUGHTER] which I think is something that goes over well with administrators at any university. But, really it’s like, how do you make good judgment on what AI looks like when you go into the workplace, and there are so many workplaces that really are leaning in, and it is kind of unregulated in a lot of ways. It’s surreptitious, it’s tacit, it’s the secret cyborg that Ethan Mollick talks about, and so I think it is really important for students to not just like, “here’s how you do prompt engineering,” but something that’s much more sophisticated about how are you supplementing the knowledge that you have when you’re using these tools.

Marc: Yeah, the goal with discernment, too. I mean, I’ll just give you an example, too. I just spoke with our law school, and they are getting a lot of interesting signals from the legal industry about how they want AI to be used and not used. You can actually go on to the AI hallucination case database. Someone’s actually set this up. There’s 1300 hallucinated cases, along with the sanction that the judge, who, of course, was very upset, found out AI was used in a way that created fictitious case law. So there is that issue too, of using AI inappropriate.

Derek: And just to clarify, these are real lawyers who have submitted briefs to courts where there were hallucinated content in those briefs, and they were caught on it and called out and punishment. And there’s a website that tracks all this, and I think it’s just a weird, strange world we’re living in, where that continues to happen, and someone is tracking all of that.

Marc: Indeed, yeah. And to make it even stranger now, the opposite end of the spectrum is they’re hearing from a lot of corporate interests too, is that when they go to bill them for their hours, they want to have AI listed there, not as disclosure for hallucinations, but how much money did you save us by using AI, or did you use enough AI. So there are some really wild mixed signals, depending on what your discipline is, about what your industry is, as well, too. And helping students navigate that is a big challenge. Helping faculty now navigate those questions, too. It’s like, okay, do I need my students to learn about AI to avoid hallucinations? Oh, wait, you have to learn about AI because you’re being billed for it if you don’t use it enough. So, it’s really fascinating just to see this play out. That’s just one example. We have this in different industries too. I’ve talked with folks in hospitality management. AI is a massive tool in that industry right now, and they’re having some issues that they’re doing this with too much AI for the audience and upsetting them too, but also, having that same sort of situation too, where your company you’re working with, or you’re supposed to be working with, is demanding you use AI to cut overhead. So it is going to be a challenge to navigate, for sure.

Rebecca: So, are we revising our learning objectives?

Derek: I think, to Marc’s point, I think it depends a lot on the discipline that you’re in and how things are shaking out. So, like in computer science, the goal of learning how to write basic code is less important now. The goal of figuring out how to evaluate the quality of some other code that you’ve been given, whether it was written by a human or an AI or not, the kind of reading and evaluating code that’s more important now. Over in a writing class, though, writing the first draft is kind of the equivalent to drafting that code, right? Is writing the first draft not important because AI can do it? I don’t think so. I think the ideation and brainstorming that happens during that first draft is super important, and so similar moves with AI in different disciplines may be thought of very differently in those disciplines because of kind of what’s under the surface there, and so that’s why I think a lot of these conversations, around learning objectives in particular, need to happen within the disciplines and within the fields, particularly if those disciplines are having some conversations with how the workforce is changing.

Annette: One of the things that we talk about in the writing chapter, to kind of extend a little bit what Derek was talking about, is that there are different important aspects of the intellectual process across different aspects of writing, so I teach in an English department, and that means that that ideation, the brainstorming, the writing is kind of the argument, and that’s the work. I also spent eight years working in a neuroscience lab, and in that lab I did some of the writing. That was inconsequential, because, like, I didn’t design the experiments, I didn’t, I mean, sometimes I actually did sleep deprive [LAUGHTER] the rats, but I didn’t really do the work, the intellectual work of the lab, and so I didn’t get an authorship credit, rightly so. And so when we look across disciplines, it is really important. This is why we keep saying in the book, we trust you to figure this out, is like you have to think about like what is the intellectual work that’s happening in your class and in your discipline and for your students, so that you can pinpoint that intellectual work and make sure that it’s enhanced or at least not undermined by AI. And then maybe, such as what Marc is talking about with the legal profession, you need to integrate AI or help students think about how they might thoughtfully do that, because they’ll need to have that skill moving forward,

John: And by connecting to what people in the fields where students are likely to go into when they graduate, it can create more authentic learning opportunities where students are using AI in the same way they might be expecting to use it later, I think. We’ve talked a little bit about all the concerns that faculty have, but there’s lots of ways in which AI might be useful to assist with student learning. Can you talk a little bit about some ways in which AI tools can be helpful in increasing student learning?

Derek: So, I’ll jump in. I’ve had a journey on this, because I feel like when I started writing with these two, I was the like all in on AI, and let’s use it to augment our teaching and then create new learning experiences for students. The more I went through the writing process, the more I’ve talked with faculty this past year, the more mixed I am, and the more kind of avoiding AI piece has been a much more important to think about, like we do want to protect the space for students to learn in meaningful ways. That said, here’s my current metaphor for thinking about this. [LAUGHTER] You’ve probably heard of the forklift in the gym metaphor. If you want to move weights around in the gym, you don’t bring a forklift in and move them, you go in and you lift your weights. That’s the point of the exercise, is for you to do it and to let your muscles get that strength training. Yes, the forklift will move the weights, but that’s not the point. Some uses of AI are like that, they are doing the work for students, they are moving the weights for students, and the students aren’t getting anything out of that. But I would argue that there’s another machine that actually you do find in gyms, which is the treadmill. I’m a runner, when I want to run and it’s 35 degrees outside and raining, I don’t want to run outside, I want to go to the gym and run on a treadmill. The treadmill is not doing the work for me, but it is creating conditions under which I can do the work, and so those are the uses of AI that I was initially drawn to, and I continue to be drawn to. How can we use AI in ways that are going to create new learning opportunities for students without robbing them of the exercise themselves? And so that’s things like having students critique the output of some AI chatbot that’s doing some task associated with your course. It gives them a chance to practice the knowledge and skills they’re building. This can be a tricky assignment if the AI does too good of a job in whatever you’ve asked it to do. There may not be enough to critique, but lots of faculty are finding places or particular AI tools that still have kind of big flaws in them. We have one example in our book of a math faculty member who had an AI generate flawed proofs to mathematical statements, and the student’s job was to evaluate those proofs. That’s a great opportunity for practice. Other faculty are having AI give feedback to the students on their work, and I think you have to do that in a thoughtful way, so that students aren’t just kind of taking the AI feedback. As gospel, that they are in a position where they can question that, maybe compare that to feedback they’re getting from their peers on a particular assignment. You also don’t want to kind of abdicate your own role of giving students feedback, so thinking of AI-generated feedback as one step in a process that later involves you giving feedback to your students. But well-designed prompts to AI can generate really useful and actionable feedback for students, and so that’s a treadmill kind of thing. And I guess the third big category I would mention is custom AI chatbots that are designed to simulate certain types of interactions or conversations for students, so that they can practice talking to a client or talking to a patient, or what have you. That’s a treadmill kind of use of AI, and a lot of faculty are having a lot of success with that, in part, because the fuzziness and unpredictability of an AI chatbot becomes a feature, not a bug, of that type of activity. The fact that it’s unreliable and contradicts itself is okay, because that often happens in the types of professional settings that we’re preparing students to enter.

Annette: One additional thing I think teachers are doing, which is super exciting, and I saw evidence of this in the faculty development seminar that I teach at University of Pittsburgh, is teachers are starting to basically vibe code their own apps that are supporting learning, which is just amazing to see, actually, because here is this opportunity to create this nichey little thing that is not going to be served by some big platform and subscription blah blah blah, it’s like I teach this particular really difficult concept. It draws on these different databases and government websites, and blah blah blah. We always have trouble with it. Students struggle to put this all together. It’s really hard to visualize, etc. Or you can ask Claude to make up a cool interface where students can play around with it, and then actually really get a good sense of this complex thing that I try to teach. Or here’s this visualization thing in a science class of we’re looking at a sample on their microscope, and you can change it into a diagram, and that can make it a little more easy for students to tell what it is, label the parts, things like that, and those kinds of real-time transitions across modes, say from image to diagram, or the interfaces. I hope that we see an explosion of those kinds of teaching tools that teachers are able to innovate with using AI on the back end, then, so, like, students aren’t directly using AI, but they’re interacting with the results of AI.

Marc: Yeah, I think for me the easiest way to start is to define AI’s role in the sort of relationship you have with your own teaching, and also set that up for your students to give it a specific role, develop rapport with your students, that level of trust as you go through this to see if this is effective in their learning outcomes. I am a little bit concerned about the fact too that some students have very expensive subscriptions to certain AI tools and services, while others are using the free plan, and what that’s going to do for assessment, and also equity and accessibility issues too, going forward. But you only get to find that out if they’re talking to you about this, if they’re doing this openly, and so when you have that rapport set up there too, like I’m doing right now, my advanced class about AI and society, my students are now given free rein to design things that they like with AI, after knowing about it too, and showing me and teaching me how they’re using these tools to learn, which I think is really cool, and as Annette mentioned, too, a lot of them are vibe coding now with Claude, which is just wild. When we were doing this six months ago, too, Claude really wouldn’t do a very good job. You do some very simple sort of things. Now we have some students vibe coding entire simulations of video games that are pretty impressive, and actual apps too. And teachers can do the same. So, once you’re comfortable with it, once you have that rapport there too, you can really start going into the creative possibilities about what AI can do to help. The challenge there is that there isn’t kind of a limit to it. It’s very hard to basically say where this learning stops with the technology when you can design so many different things based off of your imagination, and that is something to just kind of be thoughtful about, too, because it is a lot to just kind of press faculty on as well, especially if there are just one or two different use cases. Well, it’s this technology’s like clay, throw it on a pot, you can really turn it into anything that you want. And my response from some people have been like, “that’s a lot to take in,” like, “yes, it is.”

Rebecca: Just don’t forget to ask for accessibility features when you’re vibe coding,

Marc: Exactly, exactly. It’s a big thing.

Rebecca: So, we’ve talked a little bit about, well we’ve talked a lot about ways that generative AI might be able to be used to enhance student learning. In some of those discussions, we’ve talked a little bit about how it might also support teaching. Do you have any additional examples on how AI might be used to enhance our teaching?

Marc: Yeah, I’ll give you one that I’ve been using personally, that, like many faculty, I think I was in a bit of a secondary sprint here to try to bring my courses up to Title II compliance, and we got a reprieve that was sort of last minute, but it’s only a year-long rep, so we are still going to have to make sure our additional materials are fully accessible to be compliant with federal law. And I actually used a version of Claude to go through some of my course materials, and set it up to look at the different accessibility guidelines. I thought I’d done a very good job six months ago, and it turns out that no, I missed quite a few things, and it was actually very good to have that sort of experience for an AI tool to go through and sort of check your work. So, I think having AI as a tool that could sort of audit certain things – accessibility is one of them too – but also going through some of my course learning outcomes and seeing the ways that an AI system might look at that and compare it to a different university’s course learning outcomes. How up to speed am I and my peer institutions, and give me some options. I really do think if we were using AI iteratively, we can kind of make sure that we are the ones that are staying in the driver seat, if you will, and really center both not only student agency but in this case, teacher agency, to make sure that they’re making the right choices, and giving yourself some good options with AI to go through that process can be very helpful, and in my case, very eye-opening to me about these types of situations. I will say, my course, I had really done is one of my summer courses that I had not run in about two years. [LAUGHTER] I was just like, “oh yeah, I did that,” and no, I did not actually revisit that for accessibility concerns from two years ago. So AI can do quite a bit.

Annette: Yeah, like Marc, I’m very excited about the possibilities of AI to augment all of the details of teaching that we do, not the kind of human connection and the grading and the assessment and the reading and that kind of thing, but I think Marc’s example about how to make a course more accessible is excellent. The other thing I’ve been using right now is we have an institutional subscription to Claude, and I’ve used the MS 365 connector now, which basically hooks Claude up to my Outlook on my email, and what I found is having semantic search on my email is like a game changer. It’s just like I can ask questions of 15 years of emails and folders and all sorts of things, but I can ask questions of it that help me summarize conversations that are revived. It helps me right now think about my year-end report, like reporting that we have to do. How much time did I spend and what did I forget about the things that I did? Inevitably, you always forget things, and Claude is helping me locate those things right now. I have colleagues who have used Claude to design things that help fix the somewhat broken scheduling system that they have to deal with. It’s all these things that are super essential to the infrastructure of how a university runs, but there’s a lot of technologies that are either too big, clunky, they aren’t specific to whatever things that we need to do, and I think that I absolutely agree with Marc that the more we’re practicing these things as faculty, the better we are at understanding their limitations, their possibilities, and these are things too, like if I had a secretary, then I guess it would be replacing my secretary, but I don’t. This isn’t like undermining the intellectual work that I do as a professor. It’s not putting somebody out of a job, but it is really making my reporting more accurate and better. And so I think it’s important to recognize those possibilities.

Rebecca: I think that gets back to something you guys were talking about earlier, and using it to do some of the tasks, but it’s not the intellectual work of being a faculty member.

Marc: It’s also not the relationship aspect, too. That’s the big thing that, to me, again, part of AI awareness is just where are you going to put some boundaries in place, too. I use these tools all the time, like Annette does, but there are certain things I don’t want to do with my students. I’ve told them I’m not going to do this to write letters of recommendation, I’m not going to use it to answer emails, I’m also not going to use it to grade. Those are my sort of boundaries. Other people are going to be very different what they set up, but to me the best thing to do is just put yourself in conversation with that and start considering where you are going to draw the line and why.

Annette: And the other thing to note, too, that what I love about the way that Marc is talking about this is he’s really open with his students about that, like I’m not going to use it to grade, I’m not going to use it to do this, and I do think that as we ask our students to be transparent with their uses, it’s really important for us to be transparent with them about the uses that we have of AI, and I think they have some suspicions, they are frustrated, they’re interested. The students have all sorts of feelings about faculty uses of AI, and we need to take that into account when we use them. But I don’t think the students would care about me using AI in my email, [LAUGHTER] not for the writing of emails. I don’t use it for the writing of emails, but like for searching, like what are all the things I did for this committee for my department.

Marc: Now they’re not going to care about that, they’re going to care about the writing of emails. I agree, and you know the big thing to think about too, and I know we’re kind of dragging on the question, but this fall it’s going to be four years that high school students have had complete access to ChatGPT to generative AI coming forward. They’re not just going to be Plato exiting the cave, they never were entering our classes. They’re going to have experience using these tools, resisting these tools, and having that. And having this sort of conversation with them too, I think, is really important to think about their own agency when it comes to using or not using AI.

John: And the things you’ve discussed are ways where we can free up some time, so that we can have more time to devote to students, but there might be also some ways in which we could use AI directly to perhaps improve our teaching. One of the things I’ve done with faculty is have them use AI tools to help put their assignments in a TILT framework to make it more transparent to students, because we know what we mean when we ask students to do an assignment, but they don’t always know that, and that can be a nice way of evaluating it, to have an AI tool read it from the perspective of a student and put it in terms that may be meaningful, or perhaps to evaluate a syllabus for inclusive language and things that might get past us without the use of an AI tool, or use it to suggest some active learning exercises if we were mostly doing lectures, for people who want to move away from that, but aren’t quite as comfortable.

Marc: Yeah, absolutely. And there is an element of humility in that, too. You’re asking a system to help you perform your job, and that is something that I’ve talked with a lot of faculty about, that for them, they’re like, “no, I’m not going to do this,” but like, try it. Here’s an exercise, see if it is. And generally, there is that sort of aha moment when we do this in a workshop. They’re like, “oh, wow, so yeah, this is actually kind of helpful for me.” This is something I might take back and show to my colleagues and help them understand what’s going on too.

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

Derek: I’m excited that the book is coming out this summer. That’s a big what’s next for me, I think, to help support that and to continue these conversations. I’ve been reaching out to a lot of the faculty whose work we mentioned in the book to have them on my Intentional Teaching podcast, and so I’m excited to continue some of these conversations in this audio format this summer.

Marc: Like Derek, I’m very excited about the book too, trying to plan what level of support that I can bring to faculty from a lot of these examples that we go out there to do lots of workshops and also lots of different engagements, both internally here at my university and also externally too. So happy to see that basically pop up and be out there in the world too, starting this summer for the ebook, and then the print book will be out at some point in time, early in the fall.

Annette: I’m excited, also like my co-authors, about the book being done. It’s always a big project, as Marc said at the beginning here, it’s a real sprint, it was a really intensive timeline. To take a commercial publisher and get something from conception to publication in less than a year is unbelievable, which is kind of the pace of AI, and it shows Norton’s priority for the book, too, which I was happy about. So, yeah, what’s next is, well, I’m working on an academic monograph about a long history of AI, and so I’m excited to do that. I feel like we learned so much in the process of writing the book, like all of the different worked examples from the teachers. I really am so grateful for the teachers that were happy to share those examples with us and with other teachers through this book. What I’d really like to do is I’ve been integrating some of those examples again with permission and workshops and things like that, and then to do that work at home too at Pitt and think more cutting edge about what we can do with the technologies that we have access to locally, and how I can work with the incredible colleagues that I have here at Pitt, and the students, how we might further student research too, which I’ve been working on here at Pitt too. So I’m excited about that next chapter, and I really am excited to learn more from other teachers, especially with the new innovations with vibe coding and all those kinds of experiments. I think we are on the precipice of some other hopefully interesting pivots in the ways that we approach education.

John: Well, thank you for joining us. We really enjoyed the conversation, and we’re really looking forward to seeing the book when it comes out. In fact, we’ve listed it as a reading group we’ll be running on campus in the fall, so we’re especially looking forward to seeing the final version.

Rebecca: Well, thanks. This was really great.

Annette: Thank you so much.

Marc: Thank you, guys. I appreciate it.

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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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425. Authentic Voice in the Age of AI

Student use of AI tools presents challenges for faculty teaching writing. In this episode, Anna Mills joins us to discuss when and how AI tools can be used to help students develop their writing skills.

Anna has been a leader in exploring effective strategies for integrating AI into higher education in a manner that fosters the development of student critical literacy. Anna serves on the MLA Task Force on Writing and AI and as a lead advisor on the instructional design for MyEssayFeedback.ai. She also has served as the only educational specialist recruited by Open AI to test GPT-4 pre-release. Anna is also an OER advocate who has released numerous OER resources including two OER textbooks, one on How Arguments Work: A Guide to Writing and Analyzing Texts in College, and the other on AI in College Writing: An Orientation. She is also one of the developers of the PAIRR process in which students develop writing skills through feedback from peers, AI, and individual reflection.

Show Notes

Transcript

John: Student use of AI tools presents challenges for faculty teaching writing. In this episode, we examine when and how AI tools can be used to help students develop their writing skills.

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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 Anna Mills. Anna has been teaching college writing courses for 18 years and currently teaches writing at the College of Marin. She has been a leader in exploring effective strategies for integrating AI into higher education in a manner that fosters the development of student critical literacy. Anna serves on the MLA Task Force on Writing and AI and as a lead advisor on the instructional design for MyEssayFeedback.ai. She also has served as the only educational specialist recruited by Open AI to test GPT-4 pre-release. Anna is also an OER advocate who has released numerous OER resources including two OER textbooks, one on How Arguments Work: A Guide to Writing and Analyzing Texts in College, and the other on AI in College Writing: An Orientation. She is also one of the developers of the PAIRR process in which students develop writing skills through feedback from peers, AI, and individual reflection. Welcome Anna.

Anna: Thank you. I’m excited to be here.

John: We’re very happy to talk to you.

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

Anna: Oh, yes, I am drinking Yorkshire Gold. It’s my standby.

Rebecca: A classic.

John: That’s long been a favorite of some of our British colleagues, and I am drinking ginger peach green tea.

Rebecca: Nice. I have switched on to Jasmine green tea.

John: Very good. So we’ve invited you to here today to discuss issues that you’ve been writing about and talking about quite a bit related to fostering academic integrity while helping students develop AI literacy skills. First, though, can you tell us a bit about how you became interested in the possibilities for using AI in education?

Anna: Sure, so I actually grew up in Silicon Valley, and my dad was a software engineer working with the dinosaur age AI of the time, and so when I kind of stumbled onto today’s large language models, before ChatGPT, I was playing around with how well it would do generating essays that fit my assignment criteria, and I realized that it had made a point that I hadn’t thought of in critiquing a sample essay that I had written. And I just thought, this can complement my thinking. This can stimulate my own thinking, this can stimulate and complement what I already do. And if it can do that for me, then it might also stimulate my students, so it might support their learning, depending on how it’s used. But I think I’ve always been interested, growing up in Silicon Valley, in the divergences and convergences between human experience, human thinking, and mechanical processes’ logic and early computing. So I’m always interested in those kinds of tensions and questions, and I just was electrified when I realized that systems that can simulate thought are here. The Turing test has been passed, and that’s the strange age we’re in. [LAUGHTER] So, I think it’s an exciting moment.

Rebecca: Not all faculty lean in [LAUGHTER] necessarily in the same ways that you do, given your past history and your curiosities. One of the major concerns that faculty have about student use of generative AI platforms is that students might use it to substitute learning, rather than complement it, like you had just kind of noted. Many faculty have reacted to the availability of generative AI by simply banning its use. Is that a productive strategy?

Anna: I actually think it’s a pretty reasonable strategy. I would just say it can’t be the end, right? It’s a beginning, it’s not the full answer. And certainly, if we’ve designed a learning activity for the student to do, then it makes sense to ask them to do it, right? and not to have a machine auto-complete it for them. So as a first step, I think banning it for a learning activity that’s not designed for it makes some sense. I just think it’s sort of similar to the dawn of the internet, in that we might ban it for some things, but we also will start to build AI literacy curriculum to guide students as to how to understand this phenomenon, how to think about it, how to consider whether to engage with it or not, and we start to develop some assessments that might involve it as we figure out how it actually could support learning rather than getting in the way. So not everything has to involve it, and certainly we need students to do something, right? So we have to ban it in some contexts and in some ways, even if we want to work with it. So I don’t think instructors who ban it should be demonized at all. I think they just need a little more support to think about those next steps, as far as, how can I continue to guide students in this evolving landscape? How should I start to consider applications, limited applications and pedagogy. I don’t want to demonize anybody for banning it. I think it’s a very reasonable first step.

John: Would limiting or prohibiting its use on lower-level tasks be appropriate so that students could develop some basic skills in the discipline that they could then use to evaluate AI output? Because AI can be really productive, as you’ve noted, but it does also hallucinate, and it does produce output sometimes, which is not very reliable, but in order for students to be able to evaluate that, they need to develop some skill in order to be able to distinguish between what is quality output and what is not. So might bans be more appropriate as students are beginning to develop the skills and then perhaps progressively allowing more use of AI?

Anna: Absolutely, yeah, I’m completely with you on that, and I think there are parallels to calculators and computer use. And I’m very concerned about setting some guardrails, some guidelines, so that students still have these formative experiences, so they can develop the kinds of skills that they need in order to do their own thinking, make their own decisions, to interact with AI productively, to be skeptical of what it gives them, to improve on what it gives them. So absolutely, I want to do that, and that’s kind of why I’ve gravitated toward not inviting my students to use it in hybrid ways in their writing, I want them to have those experiences in college of developing an essay from start to finish, with their own words, their own ideas, their own organization. They’re making the decisions and AI is used in my pedagogy mainly for feedback, that they then reflect on critically. So, absolutely and I think, unlike the calculator, I think you have to wait longer before you’re really ready to be learning with AI in these hybrid ways. I think we have to protect space for students to develop their own skills, making their own choices.

Rebecca: We talked a little bit about disciplinary skills, but we’ve also mentioned AI literacy. Can you define what that is? I think we like vaguely have an idea of what that is, and we’ve been using that term over a couple of episodes, but haven’t really defined it.

Anna: Yeah, I think it’s hotly contested. Sometimes people use it to mean sort of technical knowledge about AI systems, and that’s not usually what I mean. But I think that you have to know enough to be skeptical, as John said, to know that there are errors and hallucinations, that these are fundamentally sort of pattern-matching systems. And beyond that, I think a lot of the things that help you interact well with AI are not specific to AI. So there can be general information literacy skills, reading, writing, and critical thinking skills, expertise in a subject matter, but I think they also involve knowing what current systems are capable of and some of the ways that people use them strategically, so some familiarity with this landscape of what people are doing with these systems and how well they perform. And that’s, of course, a moving target, but I think it is important for educators and students to be keeping up, to some extent, with what’s possible, because that will be part of workplaces, certainly. And at the same time, it’s not about the technical details. It’s not about learning Python and being able to build these systems yourself. It’s not even about prompt, quote, unquote, engineering. What we’re hearing is that, with the current systems, as they improve, you really don’t need these specific technical approaches. You need expertise and thinking and reading and writing skills. So I think any look at AI literacy should really emphasize those. But I think that there is also a certain familiarity that we need to support teachers and students to develop with what can you do now with these systems? What are people doing with them, and what are the pitfalls? What are the dangers as you use them?

John: One of the things that’s happened over quite a period of time is that more and more assessments in classes have been shifted outside of the classroom. That is especially true with online work, and if you are trying to restrict student use of AI tools while they’re developing those basic skills, one of the things that many faculty have tried to do is rely on AI detectors. How reliable are these? When is it appropriate to use them? And in what ways might it be appropriate to use them?

Anna: So they’re definitely not reliable, even the companies will acknowledge that those detection systems sometimes label AI text as human written and sometimes they label human written text as likely AI. So any use of them has to take that into account and not rely on them. That said, I do think they have a limited place in my practice, I have a lot of colleagues who strongly disagree with me, and I recognize some of the concerns that we don’t have rigorous testing of these systems for things like bias against English language learners, and I would like to see more testing and regulation around them, but that said, we do need ways to deter misuse, to make it less tempting to students, and I think AI detection does quite a lot in that respect when you use it to complement other strategies that reduce misuse, and when you reassure students that you know it makes mistakes and that you will take that into account, that you will meet with them, you will use other approaches to determine whether they’ve used AI. In my case, I’m not using it punitively. I am offering students another chance to rewrite. I’m giving them the benefit of the doubt where that’s necessary. If I meet with them and they can explain the essay pretty well, I’m not going to penalize them, even if the writing was flagged as AI. So I think there is a judicious way to use them, but I would also like to see a lot of guardrails around their use.

John: And we have seen a lot of cases where faculty just universally will accuse students of AI use when the detectors flag a high probability. But as you noted, that probably is not appropriate without some additional evidence, is that the approach you’d take?

Anna: Definitely, so I’m using detection, but I let students know that if their work is flagged, that means that we’re going to meet and talk about the essay. And when I meet with them, I let them know that I’m not trusting it, but that I am concerned. I want them to be learning, to be developing their confidence, their voice, and we can work together on that. If there is something that was more AI than they intended or they should have done, then that means they haven’t done the learning yet, and there’s still space for that in the class. And then I’m using it in association with a lot of other things. First and foremost, I’m emphasizing what can I do so that they feel engaged with the class and intrinsically motivated. I’m giving them a lot of choices about essay assignments. We’re talking about how writing helps us develop our thinking skills and how that’s applicable to many other things in life. And I’m checking in with them a lot about their engagement with the assignment. I’m offering a lot of support for their process, a lot of formative assignments along the way that are credit/no credit, a lot of tutoring support, scaffolding for the skills to help them build that confidence in their own voice. And I’m also offering ways to use AI that support their learning, that are not cheating and so kind of trying to guide them into that other path, where it stimulates their thinking rather than replacing it. So I think it all goes together. There’s not one right approach and one wrong approach. There’s a lot of things that can help. And you can get around detection, also. There are tools that will, quote, unquote humanize AI text to get around detectors. You can get around process tracking. You can simulate typing into a Google Doc and make it look like you’ve spent an hour on that Google Doc. So these approaches, they’re not adequate gotchas, and they shouldn’t be used in that spirit. But that said, we need accountability in most areas of human life, even if we mean well, sometimes we need help sticking to that, and we need deterrence for those actions that deviate from the path. And I think AI detection can be that, it can help with that. And as you said, we’ve got quite a situation with online learning, and we may need some proctored assessment to complement it as well going forward. But I think this is a little bit like cybersecurity, so it’s never going to be perfect, and yet you can’t stop working on it. And I think some technical mechanisms to discourage misuse can support educators, can be an ethical tool. So I think we should keep asking for ethical tools that support academic integrity.

Rebecca: Both you and John have talked about online learning and the challenge of assessments [LAUGHTER] in the age of AI, so other than oral exams or in class blue book exams, proctored exams, what else can we do in the age of AI to make sure that we have good assessments for students when these other ones might be a bit vulnerable?

Anna: Well, I think that there’s a great literature on humanizing online learning. People like Michelle pacansky Brock have really shared a whole bunch of wonderful practices that are good pedagogy anyway, so things like collaborative annotation, where students are commenting on the readings for class in a social way and responding to each other. Video and audio assignments, using platforms like VoiceThread or Canvas Studio, so building courses so that they are social in a variety of ways, including discussions, but beyond discussions, I think those things can help. Online learning doesn’t have to be sort of one direction, content delivery and then performance. There’s a lot more possibilities than that. I’m interested in things like lockdown browsers for a little bit more of a guardrail around some online assessment. But I also recognize that’s not secure either. Even with a lockdown browser, you can have another device and have aI going on that device. So I do think we might need some complimentary sort of proctored assessments. There’s this two-lane approach coming out of Australia that says we can have formative assessments where students may or may not use AI, but then we need to validate that there has been learning with some form of secured assessment. And I think we need to keep looking at what that looks like for online courses, balancing things like validity with student access. We got to keep going with online learning, because so many students would not be able to access their education otherwise, and we have to find ways to validate that, and that might mean various forms of observing student learning, close observation, whether that’s proctored assessment in person or some form of online process observation.

John: One of the things that I found somewhat troubling recently is the number of browser extensions that have been developed to automatically detect questions on the screen and to offer to answer those questions. In fact, Chrome provided one for a short period before taking it down. Would a lockdown browser be a strategy to prevent that, or would they not recognize the fact that there is this AI agent hiding in there that is doing the data input, rather than the students themselves?

Anna: Yeah, I have been wanting to test that. I’m not sure if lockdown browsers can block agentic AI browsers like Perplexity Comet or ChatGPT Atlas that will just move around and click and fill out forms for you in the learning management system. I think they might help. But long term, I don’t think teachers should have the burden of trying to design around this. I really think we need the learning management companies and the AI companies to help, to say to these systems, don’t complete work for students. It’s a very simple step that the big AI companies could take to drastically reduce this kind of threat to learning. I think we’ve got to pressure them to do that. And I think there can be mounting public pressure from parents who want their kids to learn, and they want their kids learning to count for something and not be judged against somebody else’s cheating. So I think it’s sort of a common sense societal interest that we’ve really got to push. We’ve got to make space for learning online, and that means don’t let the AI systems jump in and take over. Make sure that it’s the students. And there’s not a whole lot that I think I can do as a teacher to block AI agents. I might be wrong. There are educators experimenting with this. Tim Mousel just released a video where he shows how he built this little system to try to detect if it’s an AI agent and not a student. And maybe that can inspire the learning management companies to do something similar. But I think for most educators, we’re not running the Canvas or the Blackboard, and there’s not too much we can do. Multimodal assignments might slow down an agentic browser, like it’s probably not going to be able to generate a video with my face too easily without a little help. So yes, those things might help a bit, but I don’t think it makes sense to ask teachers to redesign our entire pedagogy when we really don’t have a lot we can even do to block this, and the big companies do have things they can do to block it.

John: We’ll include a link to that video in the show notes. I saw it this morning on LinkedIn myself and I. He was able to block two of the three things he tested with his work. But it’s an escalating battle. We have better things to do with our time as educators than to fight that.

Anna: And why should we throw out pedagogy that works and that is research based? Why should we deprive students of those kinds of learning experiences that we know how to provide? So I really want to protect things that we know are valuable. I want my 14-year old son to have those learning experiences, and teachers shouldn’t have to throw them away. That doesn’t make any sense.

Rebecca: You talked a little bit earlier about ways to preserve academic integrity, but also to motivate students. And you hinted at a few things like process, scaffolding, and things like that. Can you dive a little bit more into what that looks like, maybe in one of your classes?

Anna: Sure. So in writing pedagogy, we’ve been teaching writing processes and strategies for years. So in my class, that starts with collaborative annotation of readings for the class, so students are speaking back to the text in the margins and talking to each other about it, and that starts to lay the foundation for what they want to say in their essays and for making space for their voices. Then there are a lot of low-stakes assignments where they’re brainstorming or they’re writing drafts where they have permission for them to be terrible. We’re reading about writing strategies that help us get past those difficult moments. We’re acknowledging that thinking is hard and sometimes painful or frustrating, and that’s okay, and there are lots of things we can do to seek support. I’m assigning tutor visits as homework. I’m giving lots of chances to review each other’s drafts, to revise, to reflect on AI feedback before there’s a final draft due, and even then, I’m saying, “You can rewrite to raise the grade.” So this is an ongoing process where there’s support all along the way. We’re going to get stuck, but there are a million moves we can make to feel better and to ultimately push our own thinking further in the writing process. And you get credit for all of those things that you do. So I’m hoping that that’s really an affirming and a hopeful orientation to writing that carries a lot of empathy for the moments [LAUGHTER] when it’s hard and onerous, but that ultimately offers a lot of options for every step.

John: Many of the guests we’ve had on the podcast in the past have advocated alternative grading systems as a way of shifting the focus from grades to learning. Have you experimented with that? Or have you talked to many people who have tried this, and has it had an impact on improving student motivation in shifting the focus from just trying to maximize grades to maximize learning?

Anna: Yeah, I think it definitely does help. A proportion of my class is sort of ungraded credit/no credit for process assignments, and then I do have a portion that’s graded. I think it can help. I think you still have to have a certain minimum standard for passing the class, but I think it’s something I’d like to explore further, because I think it does remove a lot of that anxiety for students. The sense of inadequacy is huge in first-year composition classes and the sense of imposter syndrome, and “maybe I don’t belong here, and I should be using big, fancy words.” So, there’s so much sense of inadequacy and fear and imposter syndrome in first-year composition in community colleges where I teach. So you can say to students, “I want to hear your voice and you don’t have to use fancy vocabulary and all of that,” but it’s hard for that to really sink in. I think that ungrading can be part of just affirming whatever it is that students bring to class. But I think also sharing examples with students of student voice, and celebrating that, can be powerful as well, so that it really becomes the students’ space and more on their own terms, and I think ungrading can be part of that.

Rebecca: One of the ways that you’ve talked a little bit about doing this is through the PAIRR process. Can you talk a little bit about this process for our listeners?

Anna: Sure. So PAIRR stands for peer and AI review plus reflection. This was actually developed first at University of California – Davis by Carl Whithaus, Lisa Sperber, and Marit MacArthur, principally, but I was doing something very similar on a parallel track as a volunteer advisor for MyEssayFeedback, which is this not-for-profit app, and then I joined forces with the UC-Davis PAIRR researchers, and we’re now working together because it’s an approach essentially to bringing AI into what we already know about good writing pedagogy and building AI literacy in the process. So basically, you keep what’s good, including peer review and instructor feedback and students drafting, putting together their own draft, and then you bring AI in for feedback that stimulates further revision, and you encourage students to question that feedback and compare it to what they got from their peers, and think about how they feel about that, and what was their actual purpose with the writing. Did the AI feedback get it right, or did it misinterpret what they want to do? So you’re building this habit of skepticism of AI and also building some prompting skills, helping students get the most out of that feedback by pushing back in various ways and asking for more from the system. So that’s the core of the approach. But we also start out with some AI literacy readings, so that students have some basic concepts about what these systems are and AI literacy, including questions around the ethics of AI and how those ethics should influence our decisions about AI use. That’s a big piece of it as well, but really the goal is to support students’ sense of agency around their own words, their own thinking, and their choices around using AI. So it’s a really simple method, and I think, very complementary to existing pedagogical practices. So it’s kind of something that people who are against or afraid of AI can use, and that people who are excited about AI can use. I think of it as kind of a meeting place, this approach.

John: How have students responded to this approach, or the approach that you’ve talked about with MyEssayFeedback?

Anna: So the UC Davis researchers, they have a piece out in Computers and Composition. They found that students overwhelmingly preferred having both peer and AI feedback. They found them the most useful in combination. They didn’t want one or the other. Often the AI feedback reinforced the peer feedback. Sometimes it provided a complementary perspective. They also noted flaws in it, that it wasn’t always right, and so that’s overwhelmingly what I’ve seen as well in student response to MyEssayFeedback. I’ve used it for I think this is the fifth semester, and that’s what we’ve seen in other teachers’ observations and student testimonials on MyEssayFeedback, that it’s sort of like, “Oh, this is a way that AI can support my writing and not interfere and not get in the way. I’m still in a driver’s seat, but I’m getting help.” So I think it’s a really powerful paradigm for students that they appreciate. There’s the concrete help, but there’s also that paradigm shift around what AI can be for them. And we hear that again and again in student comments, and we’re still doing further research, so we’re still looking to improve the process, to improve the prompts that we use, the ways we request AI feedback. We’ve done a lot of testing on those prompts, and we shared them publicly as well. So I think we can keep improving that model and sharing it and inviting others to improve on it as well.

Rebecca: One of the things that I can imagine as a student that would be interesting is when you have peer feedback and you also have AI feedback, there’s sometimes conflicts in that feedback, but there’s also places where that feedback converges, and that happens when you have feedback from multiple people anyways, it’s not always the same, so sometimes that helps, maybe, prioritize what to work on or to focus on.

Anna: Yeah, I think sometimes students don’t know whether to trust the peer feedback or the AI feedback, so it is helpful to see where they overlap with each other. We also designed one of our prompts so that it would try to nudge students to speculate on what the human readers will feel or think or want, to kind of remind them that the point is the human readers’ response, ultimately, not so much does it meet the criteria or the grade, although that’s also part of the feedback, but what are your human readers going to want out of this? And that the AI can help them think about that and remind them of that framework, so it really can complement this human-oriented writing process.

John: We have a lot of faculty, though, who are still a bit reluctant to try anything related to AI, and they just like to bury their heads in the sand, or who are just giving up on a role for faculty in affecting the evolution of how we do this in education, because they feel that it’s being dictated to us from the big tech companies out there, and we don’t have any sort of say. How would you respond to those faculty who are either just ignoring AI or who are perhaps giving up any hope of being involved in how we use these tools?

Anna: Yeah, I would say “I hear you.” That makes sense. It’s a lot of cognitive load and labor to engage with it, to learn about it, to try out new strategies, to understand how people are using it. Those of us who are on social media a lot learning about AI and education often liken it to a fire hose coming at us. There’s constant change, and this is labor. I think it is possible, though, to support faculty, to compensate the labor to develop programs that make space for faculty to learn and to shape and reshape our pedagogy, our AI policies, our own practice in an emergent way, in a collaborative way, that is not dictated by the AI companies or by for profit ed tech. And there have been some great examples of this that I’ve been able to be part of. One program at College of the Siskiyous that has participants get a stipend. They attend meetings, they learn certain things, but they’re developing their own project that they’re later going to share and showcase that builds on what they’ve learned, but that is very much their own. And that’s the kind of community of practice model that has some learning, some outside instruction, but also a lot of faculty making decisions based on their own experience and practice. And I think that’s the kind of model that shows respect for faculty, time, energy, and labor that I feel good about saying, if we do this, then we really can ask faculty to engage, and that will feel very different from the AI company saying, “Look at this cool thing we built. You should be using it in X, Y and Z ways. So do a whole bunch more work.” It’s understandable that people would want to say no to that kind of ask, but I think it is possible to support faculty to engage on our own terms, and that’s what we need to do. I just think faculty empowerment around AI is really something I want to see more of. Those of us who are afraid of or hate AI, those of us who are excited about it, all of the faculty voices are needed to shape what is our society going to look like? What is learning going to look like? We should be the ones shaping that. So I want to see more involvement, more people listening to us, in terms of how these systems are shaped, how the learning management systems are shaped, where the money goes. And I think we don’t need to be intimidated. These systems are very straightforward to interact with. We have the expertise to work well with AI. We have the expertise to give guidance on how it should and shouldn’t be used, and what the systems should do and not do. So really, they need us. Society needs us. Let’s step up to that. Let’s claim that, a more powerful place in shaping our future with AI.

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

Anna: Well, I want to improve on this AI orientation textbook that I’ve done and really share it, and I want to start making more student facing videos. I think one space where a lot of learning happens that both faculty and students haven’t yet tapped into as much as we could is social media, and so I do a lot of engagement with other faculty learning on social media, and I want to reach students on there as well, and be in dialog with students on platforms like YouTube and TikTok, because I think that this is a moment of great vulnerability, risk, possibility, overwhelm, change, and the only way to feel good [LAUGHTER] in those kinds of moments is to sort of turn toward each other, to support each other, and to keep talking through it, and to sort of make space for new practices to emerge. So that’s really where I get my energy and hope. And I think that my wish would be for more faculty and students to get to experience that with each other and find more spaces for that with each other.

John: Excellent. I’m not sure I’m ready to do any of the TikTok dances, but that would be a place to go to reach students. [LAUGHTER]

Anna: Right. And I’m all about like that vulnerable message to students of “I don’t have all the answers, and even I question sometimes whether I should use AI at all, given the ethical concerns, I don’t have the perfect prescription for ethical AI use, but, here’s what I’m learning, here’s what I’m doing now, and why and how you might critique that, but why I’m still doing it.” I think we can be honest and vulnerable with students, and it feels better to me when I do that. I think ultimately, as an educator, it is exciting that this is all changing so fast, and students want to talk about it, they want to learn about it, they want to develop their own opinions about it and responses to it. And that’s where we are, too, as teachers. So that’s the moment where we can really meet students in a really genuine way and be energized together. To be honest about this, I think that’s a good aspect about the moment. There are a lot of challenges, but that is a good thing about where we are today as teachers.

Rebecca: I really appreciate that idea of bringing people together to talk about the issues that are really bothering them or exciting them, or whatever emotion they’re [LAUGHTER] having about it, and that experts and the novices can be together in the same space and learn from each other.

Anna: Yes, AI keeps hijacking our department meetings in the English department. [LAUGHTER] Everybody wants to talk about it at every meeting, whether it’s on the agenda or not. So we need each other. We need those conversations. And there’s so much energy around it. We really can support each other and grow together given that great need.

John: And it’s hijacking pretty much every educational developer conference that I’ve been to in the last three years. [LAUGHTER]

Rebecca: Or podcasts for that matter, John.

Anna: Yeah. [LAUGHTER]

John: Well, thank you. It was great talking to you, and we’re looking forward to more conversations in the future.

Anna: Thank you for your wonderful questions and a wonderful conversation. I appreciate it.

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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345. New Era – New Urgency

Public confidence in the U.S. educational system has been declining while reports of student disengagement have been rising. In this episode, Deborah Pomeroy and F. Joseph Merlino join us to discuss the possibility of repurposing our educational system to better support the needs of our students and our society.

Deborah has over 50 years of education experience and is professor emeritus at Arcadia University. She has co-directed a Dewitt-Wallace grant, Students at the Center, for inner-city schools in Philadelphia and was actively engaged in the Bioko Biodiversity program in Equatorial Guinea. Joe Merlino has spent 39 years in education. He has been a principal or co-principal investigator and/or project director on numerous federal grants. He currently directs a seven-year USAID grant in Egypt where a team of US faculty are co-developing 180 new undergraduate STEM teacher-preparation courses for five large Egyptian universities.

Deborah and Joe are co-founders of The 21st Century Partnership for STEM Education where Joe has served as president since its founding in 2007. They are also the co-authors of New Era – New Urgency: The Case for Repurposing Education, which was recently released by Lexington Books.

Show Notes

Transcript

John: Public confidence in the U.S. educational system has been declining while reports of student disengagement have been rising. In this episode, we discuss the possibility of repurposing our educational system to better support the needs of our students and our society.

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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 Deborah Pomeroy and F. Joseph Merlino. Deborah has over 50 years of education experience and is professor emeritus at Arcadia University. She has co-directed a Dewitt-Wallace grant, Students at the Center, for inner-city schools in Philadelphia and was actively engaged in the Bioko Biodiversity program in Equatorial Guinea. Joe Merlino has spent 39 years in education. He has been a principal or co-principal investigator and/or project director on numerous federal grants. He currently directs a seven-year USAID grant in Egypt where a team of US faculty are co-developing 180 new undergraduate STEM teacher-preparation courses for five large Egyptian universities.

Deborah and Joe are co-founders of The 21st Century Partnership for STEM Education where Joe has served as president since its founding in 2007. They are also the co-authors of New Era – New Urgency: The Case for Repurposing Education, which was recently released by Lexington Books.

Welcome, Deborah and Joe.

Deborah: It’s great to be here. Thank you so much.

Joe: Thank you.

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

Deborah: I am. I have a cup of chai right in front of me.

Rebecca: Perfect. How about you, Joe?

Joe: Yes, this is English breakfast tea.

Rebecca: Oh, yum.

John: And I have a black raspberry green tea today.

Rebecca: Nice. We got green tea in the office today. I have a raspberry Jasmine green tea today.

John: We’ve invited you here today to talk about your new book. Could you tell us a little bit about the origin of New Era – New Urgency: The case for repurposing education?

Deborah: Well, that’s an interesting story. We actually started the book over 14 years ago when we were working on the math-science partnership for Greater Philadelphia. And it was the culmination of work that both Joe and I had been doing, both independently and collaboratively, in education reform. And we were beginning to develop our ideas about education reform. And we’ll go into those in more detail later. But we started the book, and we actually got quite a bit of the book written. And then we were interrupted by a meeting with the Minister of Education from Egypt, who came to Philadelphia with a group of colleagues to study STEM schools in the US. And as a result of that meeting, we ended up working on this USAID project in Egypt, helping the ministry develop a series of model STEM schools. And when we got into the work there, which was basically 24/7, 365 days, and we were joking around that many times, it felt like we were drinking water from a firehose, it was so intensive. And we were never able to go back and finish our book. But as we were doing the work, we sort of looked at each other a number of times, sort of laughing and saying, “This is the last chapter of our book,” because in the last chapter, we hit envisioned what real transformation could be in education, and we were actually doing it and it was so exciting. And so we decided that we needed to recast the first part of the book, and then add this whole latter part of it, because we actually have a case where our ideas have been able to be put into place and have worked just amazingly well. And so the book is actually a total of 14 years in the making.

Rebecca: So I’m really curious about the word choice of repurposing because you could have probably picked many, many titles. Can you talk a little bit about why repurposing is your word choice in the title?

Joe: We felt, through our reform efforts that were difficult to implement, that the single most durable element that prevented reform from happening was the inability of teachers and students to articulate why they were teaching what they were teaching, as opposed to all the other possibilities of what you could teach per subject. So why are you teaching algebra? Why not statistics or probability? Why are you teaching it the way you’re teaching? So the idea of purpose, which is answering the why, was what we found to be lacking. That’s why we felt purpose was the central idea of the book.

Rebecca: I knew there was a key reason.

Deborah: When we started work in Egypt, the first questions that we asked them were: What are your aspirations for the future? And for the outcome of these schools? In other words, what do you dream these graduates could do and become, and when they were able to start to articulate that, and we’ll go into that in more detail later, then we built the entire curriculum and assessment system around that purpose. And so we found that that, in fact, was the linchpin for this transformative reform.

Joe: After our meeting in August of 2011. This is like a year after the Arab Spring in Egypt, that’s when the Egyptian delegation came to Philadelphia. Four months later, we found ourselves in Cairo, I did, and two other colleagues of mine. And so we’re sitting in the first school, which is outside of Giza, and it’s in the middle of nowhere. I mean, it’s 30 miles, it’s just dirt and dust in this building. And we’re sitting in the principal’s office, and looking around wondering what’s happening and in bursts the first deputy minister of education in Egypt, and he says, “Welcome to the dream.” [LAUGHTER] And we’re looking around, and we’re saying “there’s nothing here.” So we had the opportunity to rethink things, and for them to rethink things. And I’ll just say one other thing real quick, is that the purposes of education derives from your aspirations for your country or for your community, and that defines what your purpose is. And that’s what we did in Egypt.

John: And you begin the book by talking about how the purpose of education has evolved over time with a little bit of lag, because educational systems tend to adjust slowly. Could you describe how educational systems have responded to changing societal needs?

Joe: Okay, I’ll try to do this in 60 seconds, if I can, the 400 years. [LAUGHTER] For me, it was a tremendous learning experience. We have, in our time, the ability to have the internet, to have digitized libraries, and search engines. So you can go back and actually look at primary sources. So it became a real learning experience for me as I went through it. But we started with the idea that we’ve been in this business for a while now, from the early 80s to now, and we could see the development of the Nation at Risk archetype that has defined our era here. And we wondered about, are there other archetypes? Have there been other paradigms? Have there been other purposes of education other than, right now, preparing kids for the global economy, which was the idea of the Nation at Risk? So we started by looking at the earliest instances of purposes, and we found it was the religious schools in New England, the Calvinist idea of preparing kids to be a part of a religious community, salvation was the key. And then we looked at, “Well, why did that happen? Why was it salvation?” So we looked at the English history and why people came to the United States was to form a new Israel. That was the vision of the Puritans. And then we looked at how this may have changed over a single lifetime. We talk about in our lifetime, how much change there has been if you think about yourselves and your grandparents. So we looked at history through the lens of five lifetimes, laid end to end. We said, “Well, what happened during these lifetimes?” And you see a tremendous amount of change that happened, that’s what we described in each lifetime, but along with those changes have been associated changes in the purposes of education. So I’ll just give you a quick example. So from this idea of the Commonwealth of Massachusetts, from this idea of a religious community, came the idea that as more immigrants came in, there was different religious sects. And there was conflict between these sects, so much so that when William Penn came to Philadelphia in 1682, he brought the Quaker ethos, the idea of the Quaker schools which was based on religious tolerance, and peace. And so it became another purpose of education. And he founded the first Quaker school here in Philadelphia. So that’s an example. Another example is the industrial revolution. There couldn’t be industrial education if there wasn’t an industrial revolution. So that’s what we did.

Rebecca: It’s really done a good job of setting the stage of how change has occurred over time. Can you talk a little bit about how the current system aligns or does not align with our current societal needs?

Deborah: Right now, the paradigm that is pretty much driving education in the US is college and career success. And many schools that I’ve worked in, for instance, have that plus perhaps lifelong learning as part of their school mission and vision. But how does that define the curriculum as such, and there’s really a mismatch, and what would a curriculum look like if we’re really focused on lifelong learning? And while the college and career success is driven so much by standards and by test scores that really are quite empty when it comes to looking at what we need as a society going forward. And going forward, we need people who can collaborate together, we need people who are very well versed in assessing the truthfulness of information and resources, we need people who can listen, we need people who are critical thinkers in terms of being able to deconstruct problems and analyze them and look at their resources and so forth. We need people who know how to recover from a failure and actually see failure as a source of learning and from which positive things can come. Those qualities are not served by high test scores in math and reading and by a curriculum which is so focused on teaching a course to prepare students for the next course. Where does life come in? …students who understand citizenship, who understand the civics of our country, and the government, and our system of checks and balances within our nation and what it really means to be a responsible voter. And on top of that, our students are in a culture in which they are dealing with the effects of pandemics, they’re in a media culture, they’re in a culture of diversity, because our kids below the age of 18 are more brown than white, that demographic is increasing in the country and we’re going to become more and more diverse. We’re dealing already with major effects of climate change. On a more personal level, the kids are dealing with bullying and Infowars, drugs, gun violence, immigration, you name it, and where on earth does the current curriculum prepare students to deal with the culture that they are facing in their own lives and what we need as a country going forward?

John: And I think everything you’ve said are things that everyone would agree need to be addressed. And there have been lots of attempts to bring these things into the school system in terms of an emphasis on lifelong learning, critical thinking, an ability to interpret information, and yet we still see the same basic curriculum being used. Why have previous efforts at reform failed?

Joe: That was the basis of the book. That’s why we wrote the book, because we’ve been doing reform efforts for decades. But we’ve been operating within this bubble of this Nation at Risk archetype, and it’s not relevant to where students are and where our country is. So the curriculum has been set, and then there’s justifications for it, rather than starting at a blank slate and saying: What’s our aspirations? What do you want to do? and then working backwards and deconstructing the subjects to fit that purpose? Like, I’m a math teacher, or I used to be a math teacher. I’m a recovering math teacher, [LAUGHTER] but I also was a philosopher and a cognitive developmental psychology, etc. There are so many different subjects and areas of interest that could be taught, not just in math, but in everything. So why this? Why this curriculum? So when we redesigned the STEM teacher preparation program in Egypt, we had to design an entirely new program. So I went to Cal Poly who was one of our partners, and we had a design session with them. And so it was a group of people at Cal Poly. And I said to them, “we’re going to design a new teacher preparation program.” And I said, “Imagine a teacher preparation program with no courses. What would it look like?” And they were stunned at the question, but eventually, they came around and after three hours, they started to think about it. And they actually did come up with courses, but it was a whole different program than they would have done otherwise. And so I would challenge people to say, what if in high school, there was no college as there was in the first half of the 20th century, it was mostly just high school, there was no college. So what would high school look like? Why would it be there? So the impediment to reform when you get right down to it is the lack of a coordinated coherent philosophy of a school that can inform the curriculum choices that are made. And that this curriculum, that biology talks to chemistry and math talks to each, the humanities are included as a central idea of a school because one of the big problems of people is getting along with each other. So you need history, you need literature, you need to understand human behavior and what triggers you. This is absent, you’re not going to get that from precalculus. And I’m not saying that precalculus isn’t important. But Latin teachers would argue that Latin is important for different reasons. So this is why it comes down to what’s your vision for the kind of life you want to live and the kind of world you want to live in? And then let’s package that in a way that relates and is integral to a child’s life.

Deborah: So, in schools today, many teachers do try to include projects and problem solving with their kids. And we know that that’s very much a part of the pedagogy in many schools today. But the problem solving and the projects are, may be related to the subject matter, and may be of interest to the kids, and maybe not. But the way we did it in Egypt is the schools were designed around the premise that the graduates would be prepared to address the grand challenges of Egypt. And we have grand challenges like climate change, alternative energy, population growth, urban congestion, disease prevention, and so forth and so on. And so all of the courses are designed to provide students with the concepts and skills necessary to address these grand challenges. And so the projects that the students do are projects that are directly related to these grand challenges. And these challenges are things that the kids see every single day when they look out the windows or on their way to school. There are problems that are so pervasive that everyone in Egypt [LAUGHTER] looks around and says “Can’t we solve these problems.” And so what we’re doing is we told the kids, this is what we’re preparing you to do. And so when the kids undertake a project, or work on problems, they’re real, and they’re urgent, and the kids are empowered to think about the fact that they could become agents of change in their country. And that is so different from the kind of projects that we do in our schools today. And when I talk about all the challenges that we face in our society, and the kids are facing in their lives every day, those could be some of the kinds of challenges and problems that a curriculum is trying to address. And those are things that are very, very real and meaningful to the kids. And it sort of takes the kids back to when they were five and six years old and wanted to make lemonade stands to meet the needs of somebody in the community who needs money or something. That altruism, that wonderful altruism of smaller children that somehow gets taught out of them, or many of them, not all of them, certainly. But anyway, I’m trying to take what Joe is saying here and putting it into some very, very specific kinds of things that are so different between a school which is purpose driven, with a purpose which is meaningful, as opposed to a purpose which is really meaningless.

Rebecca: You described in Egypt kind of a context that was ripe for change, and ready to re-envision, repurpose, what would need to happen here to better align our schools for today’s needs in the US?

Joe: I’m glad you asked that. So we brought the process that we used back here to Philadelphia, and we convened a group of 120 people in eight design studios. We had a small grant to do this. And we asked them that question, we said, “What’s your vision for the greater Philadelphia area? What kind of society would you like to live in in the next 10 years?” And we spent time articulating that and then out of that came different purposes of education. It was, you might say, a mission statement… or more than a mission, it was a purpose statement that came out of that vision. And there was like eight elements of that purpose. I’ll give you two of those elements. One had to do with diversity, “how do you live in a diverse society?” And then the second one was, “What are the unifying elements for that diversity?” So if that is your top line theme, you might say then if you’re in biology, how would you exemplify that theme? Well, you talk about biodiversity. And then you talk about evolution as being the unifying principle of biology as one of those things. For chemistry, the diversity of the material world through the elements. And well, what’s the unifying principles to that? So you look at the natural world diversity, which is immense, and then you look at the human world of diversity. What unites us? We have tremendous diversities, not just around race and religion, but personalities and cognitive abilities. So it gets to then how do we live together among all of this kind of human and natural diversity? What unifies us? Kids want to know that. They have to deal with all of us, otherwise, you just get gangs. So that theme of unity and diversity can cut through all of the subjects, look at music, my God, and yet there’s a unifying principle. So those are the two elements, and so when you then sit a group of experts in a room that have diverse subjects, and you say, “Alright, here’s your theme: diversity, unity, you’re a biologist, tell us how would you structure the subjects along those two themes?” And we did the same. And out of that, then we create a curriculum. So it’s like a rug, warp and woof, the threads of a rug becomes an integrated curriculum from that, so that when a student comes into that school, they understand what the school is about, and why they’re learning what they’re learning.

John: How has that worked? How have the changes been received?

Joe: The people who participated were really amazed by the process, and they got a lot out of it. The next step in that is then developing the curriculum, and then implementing it. So we attempted to do that with the School District of Philadelphia. And they were not interested, even though we had this process. But why we were so thrilled and still are thrilled with our work in Egypt is that we talked directly to the Minister of Education, we were in meetings with him, we had his first deputy minister, who is still directing the project. So at the very highest level we had buy in. President El-Sisi visited one of our schools in Minya, Egypt and said, “My God, these students are amazing. I want 100 More of these schools.” And more recently, the minister and the head of the Parliament said we want to have this idea throughout all of our schools,17 million in Egypt, the elements of that idea. So what the biggest change has been in this process is, and the students will tell you, not me, the students will tell you is that they came in as individuals in a competitive environment. They came out of it, they had a personal transformation of seeing something greater than themselves, cooperating with each other, and thinking of it as “we” rather than “me.” And boy, wouldn’t that be great in this country if we had that spirit of let’s just work on this together?

Rebecca: I think your story really attests to the importance of some of the grassroots kind of components of reform as well as real support from leadership.

Joe: Exactly.

Rebecca: You also ventured into Bosnia Herzegovina. Can you talk a little bit about what that project was like there?

Joe: So a lot of this stuff happens through serendipity. We didn’t go out and apply for Egypt, they came to us, quite by accident. So the same thing happened in Bosnia Herzegovina which, as you know, it was a terrible situation back in 1991 with the breakup of Yugoslavia and tremendous genocide there. Save the Children had been working there on a USAID grant to work on a STEM school. This is in 2017. And it wasn’t working out too well. So they called on us, based upon our work in Egypt, and we went over there. And we did the same process with a group of university people and other officials of this design studio. We said, “What’s your aspiration for your country?” And their aspiration was: we want peace, and we have tremendous unemployment, and also people are leaving the country. So we want to be able to have peace, have people work together and not fight each other and be employed. So for them, they came up with the idea that the purpose of education is to be equipped to participate in a knowledge-based economy (KBE). I said fine. Well, what are they? So they listed 10 sectors of a knowledge-based economy? I said, “Fine, alright, so we have design studios, where we list these sectors and the elements of the sectors and then across this matrix was the subjects. And from that they developed a K to 13 curriculum that was integrated around these KBE sectors. So our role there was not to develop the curriculum, but to consult on the process by which they could do it themselves. And so we worked there for a couple of years. And we developed the curriculum app, an application, that was a relational database that had all of this curriculum in four different languages. So, it was interesting.

John: In your book, you advocate moving towards a more purpose-driven curriculum, but we’re living in a country where there’s a tremendous amount of political polarization and a lot of divisions, where there is a already a lot of pressure on schools to move in different directions tied to the local politics of people in that community. What can be done to move towards a consensus on the goals of the educational system in the US.

Deborah: There are a couple of principles that we need to deal with. One is that conversations have to happen across the sectors of community, whether we’re talking a local community, as a community of as large as a state, or national. One of the things of course, we don’t have a national education system as such here. The closest we get to a system is at the state level, but really, decisions are made much more at a local level. And we have tremendous diversity, even within the state of New York, for instance. I mean, you have one of the largest urban areas in the world, and then you have extremely rural areas, and with levels of affluence and poverty at the greatest extremes of the continuum. But conversations need to happen, but they need to be carefully facilitated, because you just don’t get in and say, “Well, what are we going to do?” You have to have very careful guidance and structure in this kind of design studio with everybody buying into the idea that things need to change. And we need to be able to really discuss freely and openly. And I think one of our beliefs is that when you have these discussions, I believe personally, and I’m a bit of an optimist in this respect, that we’ll find that many people, even from very diverse sectors, whether it’s politically or demographically or whatever, really have the same aspirations. I think the key is to identify the shared aspirations, and maybe where they aren’t shared, maybe there’s a way to forge unity between those. So I’m going to stop at this point, and then let Joe continue on with that.

Joe: I think that’s true. I think the key is to have a diversity of voices, and not just the loudest voices. And it needs to be, as Deborah said, very well facilitated in a process that doesn’t allow just the loudest voices to dominate. So that’s part of the process of developing that. But I think you also see that if you do a design studio in Oswego, for example, and then you also did it in Rochester, New York, and you did it in Hazleton, Pennsylvania, I would bet a bag of bagels that you’re going to find a lot more commonality [LAUGHTER] than you would usually think of it, because a lot of people just want to live, they want to have a family or they want to have success. There’s common human aspirations. But we live in a different time period than we did 1800s. So those aspirations have got to reflect the technology and the culture and the context of the times. And why that’s necessary is that you just can’t come in and impose a curriculum, you have to have buy in and acceptance… not to go back to Egypt, what we did was, we had to make sure that it was accepted. So if you have these aspirations, then you design the curriculum, you get affirmation from the curriculum, and everybody knows what the goal is. And once you decide you want to do it, and you have the authorization, if you will, from the decision makers at the policy level, financially, you can do it within a couple of years.

Rebecca: I love that you have great stories about success, and that it’s possible, because I think a lot of times it feels impossible when there’s a lot of division. One of the things that we’ve focused a lot on is the K-12 arena. What role does higher ed have in these conversations? Or what part of the conversation should we contribute to? Most of our audience are faculty and staff, administrators and things in higher ed institutions?

Deborah: I think higher ed has a huge role in several respects. Number one is if you change the way you’re teaching students so that they come out of their high schools with different sets of skills, and a different knowledge base and these kids go into their traditional university classes, there’s going to be a major disconnect. And again, I don’t want to beat the drum about Egypt, but very quickly a story that our students every semester, do a major semester-long, what we call a capstone project. And these are evaluated by outside evaluators. The very first time we did this, among the outside evaluators was a dean of engineering at the University of Cairo. And afterwards, she said, “Oh, my goodness, these kids are at the level of my master’s students or even above, and here they are just sophomores.” She said, “This is just amazing.” And I turned to her and I said, “These kids are going to be coming to your university in a couple of years. What are you going to do?” And she looks stunned. She was absolutely silent. She recognized the disconnect. And so that’s what we would call sort of a ground-up push for change, but there have to be other changes as well. Faculty need to be provided with a kind of support to do their own transformations in their courses and their pedagogy. And that has to be a huge change. But that won’t happen unless they see the need for change. And so that’s why we think actually starting in the high school is a great place to do that. But it also has to come from the leadership of the universities themselves from the top down, so we have all three working together. And of course, the first change has to be on teacher preparation. But changes have to happen in other courses as well, and those will be slower and probably take longer to implement. But the teacher preparation implications for this kind of curriculum, this kind of way of pedagogy and his way of assessment… we haven’t talked about that yet… are really quite significant.

Joe: You’re not going to be able to redesign schools, like we’ve been talking about, without the participation of universities for a number of reasons. One is that people look to universities for permission to think differently, they trust the expertise of professors. So they want to make sure that if they do this, it’s not going to hurt their child’s chances of college. So you need a partnership, a very strong partnership with the University to make that happen. And you need leadership from the President and Provost to give it the heft to make it happen. And so universities have been and would be indispensable to making this thing happen.

John: And many of the discussions at universities are along the same lines, in terms of the purposes that you’ve mentioned at the start of this recording session, it just hasn’t quite made it into the curriculum to the extent which might be needed to truly affect that type of change.

Joe: So in part of my research, I came across the report on general education that was done at Harvard in 1945, after World War Two, and it was about what you needed to live in a free society. And it was a very strong statement about the need to prepare students both at the college and secondary levels to live in a free society and what that meant, and how central the humanities were in that process, but also, that you cannot just teach math or the sciences for their own sake, that there has to be a moral arrow to it as well, because we saw in Germany in World War Two, how engineers and scientists were used in nefarious purposes. And I think universities are caught in this dilemma that students want to come to universities because they want to get a better job. But universities have a social mission too, and it’s more than just private gain that you’re doing with a student, you really want to transform that student into something more than who they are already and to enculturate them with a grander sense of obligation and duty. That’s really the value of higher education and the institutions, as I see it. And I see them as indispensable. So we wrote this book in a way to give a history and a sense of permission and a way to begin talking about these issues with some common language. That’s why we wrote it, because we realize universities have the same problem. Your Gen Ed courses, what do you have in those? But also institutionally, where are you going? What are you about?

Rebecca: I definitely agree with all the things that you’re saying. And I’m appreciative that you’ve written this book. One thing that Deborah had mentioned was assessment. So I wanted to see if we could pick up on that thread very quickly. So when we’re thinking about a purpose-driven mission and curriculum, how does that change the way we assess things? Assessment has been a big subject on the podcast more recently. And so I think it ties nicely into a lot of the things that we’ve been exploring.

Deborah: Well, I’m really glad you picked up on that, because that was absolutely critical. But what we have to do is we first have to decide what is success? And we can’t answer that question until we know what the purpose is. And I was just in a group of educators last night, and they were talking about what are the challenges of grade inflation. I said, “Well, what happens if we change the way we grade so that there can’t be such a thing as grade inflation?” And so what we’re talking about is a way to so radically change things like through the kind of evaluation I was mentioning, where students do projects and they have outside evaluators, is it complicated? Yes. Is it challenging? Yes. Is it worth it? Absolutely. Can you have grade inflation when you use rubrics and do blind evaluation and so forth? Yeah, yeah, you can get rid of those things. But the bottom line question is: how do you define success? And that has to be driven by the purpose which has been, as we have mentioned, deconstructed into what are the skills and concepts necessary to achieve your aspirations?

Joe: In the book we talked about the tyranny of math scores, that and English language arts has been the sine qua non of achievement and value in schools, and if you look at New York’s test scores, for example, for grades three to grade eight, math and science scores, the gap between low income and non-low income people stays the same from third grade all the way to eighth. And that’s predominantly the black and brown, so the gap remains the same. And if you just focus on math, you’re always going to be in a situation where you see these kids as deficient in some way. Whereas if you have the idea that there’s many different things that you can measure, other than math scores, that are of value, you open up the possibility of trying to find assets within students. And you also, through your assessment, you have to allow students to fail, and then to recover from that failure by learning something new, and not feeling that they are labeled… you know, it’s the growth mindset idea. So there has to be assessments that do that. And I’ll just say one last thing, you know, whenever someone learns something, particularly if it’s a misconception they have, and then they come to a correct understanding, there is a moment of vulnerability, where they say, “If I’m going to learn, I have to open myself up to different ways of thinking.” That’s an extremely vulnerable state. So if you have an assessment system that is judgmental, kids are not going to be learning, that’s why it stays the same in terms of the achievement gap.

John: I think there’s growing recognition of that in higher ed, which is why there’s so much discussion of alternative grading systems that encourage students to recognize that making mistakes is part of learning, and not penalizing them by what they come in not knowing but evaluating them based on their achievement by the end of the term.

Joe: Well, we’ve submitted a proposal with UC Berkeley on elementary assessment schemes using learning progressions as a framework so that if you’re traveling from Oswego to Albany, for example, let’s say Erie, Pennsylvania, you have a roadmap of where you’re going. And if you’re not quite in Erie, you’re somewhere in the middle. Well, that’s where you are. It’s not that you’re a failure to go to Erie. That’s where you are. So having this sense of measuring progress, but not evaluating it in terms of whether you’re failing or not, but you’re informing the student, “Okay, you have achieved this much. Here’s where you need to go next.”

Rebecca: Well, I’ve loved our conversation today. There’s lots to think about at an individual level and a social level, institutional level, policy level, there’s a lot of levels. But we always wrap up by asking what’s next?

Deborah: Well, our book has just come out. And so we are really interested in trying to start these conversations, just as you have given us the opportunity to do today and get people to start to think about the ideas that we have. We wrote it with a general audience in mind. But although it’s an academic book, definitely in that respect, it’s being marketed by our publisher as an academic book, but we really want to try to reach a more general audience and get these conversations started. So we want to spread the word, we want people to start thinking about some of these ideas, and maybe talking amongst each other in small book groups or something as: “What do you think the purpose should be?” …and start it both as a grassroots and at all levels, get these conversations going?

Joe: Yeah, for me, it’s not about telling someone what their purpose should be, or giving them our idea of what the purpose should be. I mean, I have my private idea, but more it’s the process by which it’s arrived at in a sense that it can be done. So we look at this as a sharing of our ideas and opportunities. We’ve been struggling with this for many, many years. So when we’ve had this kind of success through this process, that we want to share it. We don’t want to own it, we’re giving it away. That’s what the whole idea of the academy is about. So we’re hoping that through these interviews that we’re doing here, that people will find value in these and will read our book and have discussions about the process and about how things are in their own places. And that there hopefully will be a critical mass developed. So that’s what we’re doing right now.

John: Well, thank you for joining us. You’ve raised so many interesting questions that need to be addressed for education to be more effective. Thank you.

Deborah: Thank you.

Joe: Thank you. You’ve been tremendous hosts.

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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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344. Failing Our Future

The traditional grading system that we are all used to is of relatively recent historical origin. In this episode, Josh Eyler joins us to discuss research on problems associated with traditional grading systems and possible solutions at different scales and in different educational contexts.

Josh is the Director of Faculty Development, the Director of the ThinkForward Quality Enhancement Plan, and a faculty member in the Department of Teacher Education at the University of Mississippi. He is the author of How Humans Learn: The Science and Stories behind Effective Teaching and a forthcoming  book, Failing Our Future: How Grades Harm Students, and What We Can Do About It.

Show Notes

  • Eyler, Joshua R. (2024, forthcoming). Failing Our FutureL: How Grades Harm Students, and What We Can Do about It. John Hopkins University Press (pre-order link)
  • Eyler, J. R. (2018). How humans learn: The science and stories behind effective college teaching. West Virginia University Press.
  • Brookhart, S. M., Guskey, T. R., Bowers, A. J., McMillan, J. H., Smith, J. K., Smith, L. F., … & Welsh, M. E. (2016). A century of grading research: Meaning and value in the most common educational measure. Review of educational research, 86(4), 803-848.

Transcript

John: The traditional grading system that we are all used to is of relatively recent historical origin. In this episode, we explore research on problems associated with traditional grading systems and possible solutions at different scales and in different educational contexts.

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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 Josh Eyler. Josh is the Director of Faculty Development, the Director of the ThinkForward Quality Enhancement Plan, and a faculty member in the Department of Teacher Education at the University of Mississippi. He is the author of How Humans Learn: The Science and Stories behind Effective Teaching and a forthcoming book, Failing Our Future: How Grades Harm Students, and What We Can Do About It. Welcome back, Josh.

Josh: Thank you. Thank you. Great to be here.

John: We’re happy to talk to you. And it’s been a while. Today’s teas are:… Josh, are you drinking tea with us today?

Josh: Well, you know how I roll, you guys, I don’t have tea, but I have some lovely water. [LAUGHTER]

Rebecca: So tasty. I have a Scottish afternoon today.

John: And I’m trying to cut back on caffeine, so I just have a peppermint tea today.

Rebecca: Well, if you wanted to cut back on caffeine, you could join Josh with water. [LAUGHTER]

Josh: That’s true. [LAUGHTER] Come join the club, John. [LAUGHTER]

John: I suppose that probably would not be an unhealthy thing to do. [LAUGHTER] And I have been drinking a lot more water recently.

Rebecca: So, we invited you here today to discuss Failing our Future. Could you tell us a little bit about how this book project came about?

Josh: Sure. Yes. So it has a couple of origin stories, actually. One is that when I was writing How Humans Learn a few years ago, I was working on the final chapter on failure. And I kept coming across research on grades and grading and the obstacles that they set up to learning. And certainly if you’re thinking about failure as a tool for learning, you immediately are confronted with the fact that in systems that prioritize grades, they push back on the natural cycle of learning, where we try something, we fail, we get feedback, we try it again. Grades are set up in the opposite direction, they arrest that process before it can really play out. And so that is what piqued my interest. And I don’t know that I could say honestly that I thought I was going to write a book about grades at that point. But I knew that it was an important element of what I was discussing. So I’d say a few years after that, I think what we were seeing was a lot of discussion about grades, a lot more experimentation with it. That led me to want to write a book for a broader audience, one that certainly included educators, but one that cut across the K-12, higher ed divide one that was also for parents and policymakers and students, one that really took a bird’s eye view of the larger conversation about grades, trying to pull all of what we know together so that we could move forward as a community to try and enact change. So that’s what got us here. And the process was certainly longer than I expected due to the pandemic, but it was also just a very illuminating process. And I heard some heartbreaking stories as I did interviews for this. But overall, I’m really proud of the work.

John: And you mentioned addressing this through the entire educational spectrum. And I think it’s important to address it through the whole system. Because by the time we see students in college, they’ve already been indoctrinated into a system of grades, and there’s a lot of resistance to change, and also a lot of damage, perhaps, may have been done by the use of grading systems early. Could you talk a little bit about how we ended up with this system of grading, which has been so much a part of the educational culture from kindergarten on up?

Josh: Sure, yeah. And you’re right about the fact that students are conditioned for at least 12 years before they get to us to think about grades as being the most important thing about education. So how did we end up here, we could have a podcast episode that would last five hours if we really wanted to dig into that. But I’ll focus really on the more recent history. And that is that the A through F letter grade scale that we have is really about 125 years old. Our first records of a full letter grading scale come from Mount Holyoke in the 1890s. So they were the first to implement it. Back then it was A through E. They later dropped the E because they were afraid that people would think that they were excellent when they were not, you know, God forbid that we allow people to think that they’re excellent. And so they dropped the E and added a letter where there could be no mistake about what it meant, and that was an F, for failure. So that’s when it began. But that system, the letter grade system, was not formalized, or standardized, really until the 1940s. That is when you see a majority, in fact, of school districts and colleges and universities adopt that system. And what I think is most important about that, actually two things. One is that none of this has ever been inevitable, that the 1940s is less than 100 years ago, so this is not something that was cast in stone at the minute the American educational system began; it has changed and can be changed. The second thing, though, is that all of these schools, districts, all of these colleges adopted that system, not because they thought it was the best way to document student learning, but simply because it was the easiest way to communicate across institutions. They felt that if they had a common system that they could communicate more effectively between themselves. So it was not about student learning. It was not about student progress or growth or development. It was simply about communicating. That’s how we got here. And now we’re trying to figure out where do we go next? How do we undo some of the damage that has happened since that time?

Rebecca: Speaking of damage, do you want to underscore what some of that damage is? [LAUGHTER]

Josh: Sure, and I know that there’s room for reasonable debate about the terms that we use here. But I honestly really do think we can use the framing of damage and harm when it comes to grades. And in the book, I have several categories. The first and most obvious category for that damage has to do with learning, that grades set up obstacles to learning. They inhibit curiosity, they inhibit creativity, they inhibit risk taking, they affect intrinsic motivation. This is painfully obvious, but grades are classic extrinsic motivators, which means that they are very good for getting people to do things that they would not otherwise want to do. Extrinsic motivators operate effectively, if your goal is compliance, you want to get people in seats, you want to get people to turn things in on time, you want to get people to say things in class, grades work for that. But if what you’re interested in is learning and quality, that’s what you need intrinsic motivation for. The grades can get people into learning spaces, but they in no way ever guarantee that a student will learn even though they are actually in the environment. So that’s really important. Environments that prioritize grades also incentivize cheating, and they just stand in the way of a lot of different things. But that’s just the academic part of it. Obviously, those are important, but to me, they’re less important than some of the effects of grades on students’ lives and wellbeing. Grades magnify and mirror inequities that have always been a part of the American educational system. For example, students who attend poorly resourced high schools have fewer educational opportunities, fewer textbooks, more teacher turnover, all the things that are tied to less-resourced schools. And what that means often when they get to college, they have experienced what we call opportunity gaps, which show up in their grades, especially in Gen Ed courses. So those grades that you see in the first couple of years of a student’s college experience, one who has experienced opportunity gaps, those are reflections of the past, they’re not indications of the student’s potential. They are indicators of systemic inequity. So that’s just one of many examples that we could rifle through. Grades are surveillance technologies. They’re often used for punishment, especially in high school, but kind of across the board. So that’s another category. inequities. And then the final one, the one that we’re getting more and more research on now, maybe than we’ve had in the past, and one that I personally care a lot about is that we have evidence now that grades are a contributing factor to the mental health crisis in teenagers and young adults, the academic stress caused by grades. We have a number of research studies pointing us toward the significant contribution of grades to that mental health crisis. So lots of areas here, I think, beyond the classroom. And that’s really our central idea of this book that grades have long afterlives, well beyond a semester, well beyond the classroom, that affect people’s lives, sometimes just in the short term, but often in the longer term as well.

Rebecca: Josh, you went from going from grades are no fun to grades are a super downer. [LAUGHTER]

Josh: Yeah, well, that’s the message. It’s a happy book, Rebecca. [LAUGHTER] It’s not going to win any awards for a happy smiley story, that’s for sure. [LAUGHTER]

John: One concern that some faculty have about moving to alternative grading systems is that, while intrinsic motivation is something we’d all really love to see in our students, there may be some tasks in our disciplines that students have to master which may not be as intrinsically rewarding as others, but they might still be foundational for students to be successful. If we move away from grading systems, what type of motivation can be provided to help students master those tasks that may seem tedious and may not be quite as intrinsically rewarding as other areas that students just find much more interesting?

Josh: Well, that’s a great question. There are a couple of things I’d like to address about this. So first of all, it’s not that we’re talking about either having traditional grades or having no grades, and nothing in between. What a lot of people are doing in the area of alternative grading practices is experimenting with a whole range of models. And so particularly for the types of courses and disciplines that you’re talking about in that question, John, I have found that many faculty gravitate toward a model called standards-based grading, where you can identify the skills, the content knowledge, the disciplinary norms and necessities that are important for students to develop. And the grade for the course is based, not on individual performance on exams, but how many standards they meet, over the course of the semester. And as a feature of that particular model, often students are given multiple attempts and multiple ways to meet the standards. So that’s part of releasing the pressure valve a little bit for students that gives them room to grow and honors the fact that individuals learn at different paces. So it doesn’t matter when in the semester that they hit the number of standards in order to get their A or B, because the process is a fundamental part of that grading model. So I think that’s really important. Another thing that often comes up in these conversations, though, is the fact that we do in fact, have gradeless colleges in America. The one I feature in the book is Evergreen State College in Washington. And they don’t have any grades at all. They have fully narrative transcripts. They give only feedback over the course of the semester. And they teach all the disciplines. So they have found ways to heighten the intrinsic motivation, and to use feedback to really help students navigate the path toward the goals that they have for themselves and for the class. So there are ways to do this. You don’t need grades to keep people in the seats or to have them do things that might draw on less intrinsic motivation. I think there are ways to structure our learning environments that allow us to do similar work without the pressure of traditional grades. And I think that’s the ultimate point here. I think what a lot of folks in this area who are interested in grading reform are trying to promote is not necessarily just ditching grades outright, although we could talk about that if you want, but reorienting students relationship with grades, the messages that grades send to students, so that it’s not necessarily an evaluation, but a tool helping them develop their skills and to push their learning forward.

Rebecca: It’s always been interesting to me that the A through F system was meant to provide some standardized ways of communicating between institutions yet, if you look at any single institutions’ body of syllabi, you can see that the grades mean entirely different things [LAUGHTER] depending on a class, like some might be about attendance, some might be about success on a test, some might be about achieving learning objectives. So it seems like if it was meant to communicate anything [LAUGHTER] across institutions, it certainly isn’t meeting that objective. I don’t know what my question is. [LAUGHTER]

Josh: I’m so glad this up, though.

Rebecca: I had a question, but I think I lost it. [LAUGHTER]

Josh: No, I’ll answer it. There’s a question in there, Rebecca.

Rebecca: Thanks for helping.

Josh: What you’re talking about there is what I call the measurement fallacy. And so there has been more and more work over the last few years, including one that I absolutely love, called A Century of Grading Research, where a team of experts dives into a massive amount of material. And the conclusion that they come up with is that a grade is nothing more than a subjective indicator by an individual instructor on a student’s progress toward that individual’s goals for a particular course. So I set the goals for my course, a grade that I would give is nothing more than an indicator of how much progress a student has made on my goals for my course. They call them learning intentions in this paper. It is not in any way, a kind of universal certification of learning in a particular course or discipline. Nor does it mean that the student who gets a certain grade in my course would get the same grade from my colleague down the hall teaching the same course. It is a truly subjective indicator of progress. And because of that, we cannot really say that grades measure what we have been told that they measure and what our educational systems have assumed that they measure, which is learning. They’re not universal measurements of learning, they’re subjective indicators of progress in the course.

Rebecca: And yet they’re used to make all kinds of decisions about students.

Josh: They are, and you’re absolutely right.

Rebecca: It’s very interesting. [LAUGHTER]

Josh: So I think there has been a lot of ill placed weight on grades without a subsequent amount of investigation into what grades have meant, and continue to mean. This is also what fuels the furor over supposed grade inflation. And there are lots of other tendrils of problems, when you begin to put so much emphasis on grades to do so much work in our educational system.

John: You mentioned Evergreen State College, but another college that had gone in that direction, very successfully was New College, and I teach in a program at Duke in the summer, and I had two TAs from New College, and they were two of the brightest people I had ever worked with, and their mastery of the subject matter was very much equivalent to that of other students I had who came from institutions with very traditional grading systems. So they certainly didn’t seem to be damaged by that. And yet, there seemed to have been a bit of a hostile takeover of New College. [LAUGHTER]

Josh: Yes, there has been but there is not evidence yet that the hostile takeover has affected that gradeless model. There was some discussion that I read in transcripts of board meetings about that grading system, but it has not changed yet. And I’m glad you brought up New College, John, because, and they have this on their website, as recently as last year, they were able to boast that they were producing students who went on to get the highest percentage of STEM PhDs in the country, relative to their size as an institution, which says a lot. If you are a gradeless institution, and your students are succeeding at that rate in STEM PhDs, it means that they’re learning not just content, but also the skills that are necessary to do that level of advanced work. So I think that that says a lot for what is possible, even within systems that do not have anything close to a traditional grading system.

John: And I should note that one of those students did go on to a PhD in economics. And the other student went on and picked up a master’s degree in data analytics. And they’ve succeeded very nicely, despite the absence of grades [LAUGHTER] in their college career. [LAUGHTER]

Josh: Imagine that.

John: When we began this discussion, one of the things you noted was that under traditional grading systems, the grades at the end of courses often reflect differences in the opportunities that students face before they enter our classes. Can you talk a little bit more about that?

Josh: Absolutely. So you have the reinforcing of those gaps, you have extensions of those gaps. So if you think about what happens to a student who comes into a college course with those opportunity gaps, and then is in a system, for example, where grades are curved, so not only then are they trying to bridge over those equity gaps, but their grades are really reflective of those gaps. But now they are also competing in a curved grade system with their other fellow students, many of whom have had more practice at the kinds of exams and the kinds of questions and the kinds of teaching strategies that they’ll see in those courses. So it just starts to pile on top of each other. And I think that this is something that we just don’t talk enough about, it’s just assumed, and many of these students are labeled unprepared or not ready for college, which places all the burden on them rather than this more systemic problem that I think we really need to face. Because we don’t talk enough about it, we assume that grades have to be a part of the landscape of education. And because of that, we, and I say we as the community in education, we’ve just been willing to tolerate all of the issues that grades have brought with them without really pulling back the curtain and looking at what the issues really are.

John: And we lose so many students in the first couple of years of college and many of the students we lose are those who come from low-income school districts, whose parents had less education, and who just come in with less preparation. And that’s not a very equitable way of providing an education.

Josh: Right, absolutely. And so this shows up on all kinds of metrics that colleges care about: retention, progress, graduation, all of which, by the way, are tied to grades and GPAs. That grades are the gatekeepers for keeping those students enrolled and moving through to graduation. So yes, that’s a major problem to address with respect to those students who are coming to us with fewer opportunities and from school districts with fewer resources. I think we need to really investigate the traditional ways of being In higher education, really look closely at them, reimagine them in order to create systems that have equity at the center and where we are actually, I think, invested in student success and helping those students from those different backgrounds to succeed.

Rebecca: I think the other thing to underscore related to equity issues is not only does an institution maybe have policies about grades and decisions are made at an institutional level, but at the federal level grades are used for financial aid. And so if you don’t hit a certain grade point average, and if you don’t have a certain number of classes that you complete successfully, so you’re not withdrawing from them, or having incompletes, etc, then you might not be eligible, you could lose financial aid. So whether or not a student has demonstrated growth in any kind of way doesn’t matter. It’s down to this idea of grades. And depending on the classes they’re enrolled in and the different things that grades mean, we’re essentially not allowing students to proceed because they can’t afford to.

Josh: That’s absolutely right. The more you really take the magnifying glass to this, the more you see how implanted grades are in all of these decisions, and all these key points in a student’s academic career, bringing in financial aid, I think, is a wonderful example of their gatekeeping function. And the idea that you’re raising there, that it doesn’t even give students a chance to try and bridge those equity gaps. It doesn’t honor their growth or development at all, it says you got less than a C average in your first year, therefore, we are not giving you any more money to move through the university, and so many leave, many dropout. And I think that there is a better way to do things.

John: And many of those students who leave end up with a fairly significant burden of student debt that they still have to pay, further increasing the inequity. What types of alternative grading systems do you discuss in your book, you mentioned standards based grading, but what are some of the other areas that you encourage faculty to consider?

Josh: Well, the book is divided into two parts. And the first half is all the problems and the second half is possible solutions. And so there’s a chapter for parents on what you can do in the home to help your children reorient their own approach to grades. And then the last chapter is about systemic change. But the one in between that is focused on what teachers in K-12 and faculty in higher ed are doing in their own individual classrooms to help with this. And so, there’s a whole range. There are the models that are related to standards-based grading, I call them the cousins: they’re standards-based grading, specifications grading, competency-based, mastery-based, proficiency-based, they’re all not very different from each other, they just have slightly different names, and maybe a few modestly different features to them. So that’s one bucket. Portfolio grading is one that I recommend for folks who just want to dip their toe in the world of alternative grading, because a portfolio model, you’re giving a lot of feedback throughout the semester, a lot of opportunity to revise and redo assignments. But ultimately, the portfolio that is turned in at the end of the semester gets a fairly traditional grade associated with it, it’s just that that grade honors the whole arc of the work for the semester. So that’s another one. Contract grading, and its various branches that we have recently seen. So classic contract model was developed in the middle of the 20th century. And it looks something like this: here’s a list of things to do for the course, if you do 15 of them at a satisfactory level… I’m just making up that number…if you do 15 at a satisfactory level, you get an A for the course, you do 12 you get a B, etc. That’s a contract model. More recently, there’s been a version of it called labor-based contract grading,…very prominent in writing studies… that tweaks it a little bit to emphasize more the amount of work, the amount of writing that students do over the course of the semester, and that is tied to fulfilling the particular contract. And then if we’re looking at a spectrum of grading models, with portfolio grading being one of the more conservative of the alternatives, on the other end of the spectrum you have what some people call ungrading and other people call collaborative grading where there are no grades throughout the semester, only feedback, lots of student self assessment, self evaluation, and then at the end of the semester, the students proposed their grade and the final grade is determined through a conference between the instructor and the student about that proposed grade. So there are lots of things that people are trying. I tried to send two messages about this, one is that my goal is hopefully to help faculty find models that will work best for them and their students, that it’s not a one-size-fits-all model. The same thing that works for me may not work for my colleague in the next classroom over. So that’s important. The other thing is that you do not need absolute fidelity to any one of these models. It’s not like Moses came down from the mountain, with tablets that you had to follow to the letter, lots of people are mixing and matching and taking elements from a host of different systems that they find works for them. So I’ve yet to find someone marching down the checklist for engraving or for contract grading, everyone’s kind of putting their own spin on it, and that’s good. Well, it’s actually not only good, it’s important since our contexts vary so significantly across higher ed.

Rebecca: As a lot of faculty start considering these different alternative models, collectively we can start to initiate culture change, kind of with a grassroots model. But systemic change requires policy change and other things as well. Can you talk a little bit about what role we might have in pushing forward some of those agendas as well?

Josh: Like I mentioned before, a major reason for writing this book was because my observation was that a lot of people are talking about grading reform, but they’re all coming at it, understandably, from their own perspective, the faculty perspective, the administrative perspective, the policymaker perspective, and the parent’s perspective. And I think that if we’re thinking seriously about systemic change, we need to have everyone on the same page collaborating to move change forward. All that is to say that I think about this question quite a lot. There’s certainly examples that we have of recent systemic change, some of the University of California schools have changed their grading systems in significant ways. Western Oregon just dropped the lowest grades on the scale, they’re no longer available to give. I just met someone a couple of weeks ago from Bryant University, they’re moving to collaborative grading at scale for their first-year seminar courses. So it is happening, what it requires is a network of people across an institution, all of whom believe that this is not only the right thing, but they understand how to use policy to make the reform happen, but also how to tell the story in a way that all the different constituencies can see themselves in it, and can agree that this is the direction that they need to head. So the networking is important, understanding how policy shapes grading habits and processes at a university. If you’re part of a public system, which I know you and I both are, you need to understand how the system policy and the state policy plays into this as well. So that requires having that network of different people at different positions in a university to really move that work forward. But what I really want folks to know is that you’re not alone in this, that there are lots of people thinking about this, and lots of people who are doing this work, sometimes under the radar, sometimes above the radar at institutions, and that one person taking a step is a step toward change. But multiple people taking the same step together begins to create a movement toward change. And so I want people to know that. I also want people to know that there are blueprints out there for how to do this work, that there are people who study grading reform, there are models out there for successful institutional reform. Given my work for the book, I think we have a lot to learn from K-12 school districts. There are so many of those each year that are transitioning to standards-based grading across the district. Last year, for example, the entire city of Santa Fe, New Mexico, all their school districts moved to standards-based grading. So this is happening. And the more we learn about process, the more we draw on our colleagues’ network and expertise in these areas, the more we work kind of as a collective in higher ed to push this forward, the more change you’re going to see.

John: We give a lot of workshops on campus and some of them are focused on alternative grading systems. We haven’t seen quite as much movement with that among faculty as I thought we perhaps might, because during the pandemic, a lot of people were open to trying some very different things. But there’s been some resistance. We’ve had a number of people trying it, but it hasn’t caught on quite as much as I had expected it to. Why are so many faculty resistant to moving away from traditional grading systems?

Josh: Well,I think this varies from place to place. But I will say that I think that a major thing that we all face as faculty is the pressures of time. Everyone wants to do their best for their students, I really do believe that, but when you’re faced with such a limited amount of time in which you can change elements of your course, you’re probably going to gravitate immediately toward the kinds of content that you’re teaching in the course in the assignments, the course design pieces of it, or you’re going to think about active learning strategy that John and Rebecca talked about a few months ago, rather than addressing the thing that is at the very foundation of our educational systems in America. That’s not going to be the place that you go first, [LAUGHTER] kind of an upheaval of everything that you have known about education. So I think some of it is just, in a system where we all have very limited time, and very few resources, where do you put your efforts, and I think that is driving some of that. I also think we’re kind of seeing this interesting bounce back that followed that period of innovation at the beginning of the pandemic. I think what you see is almost a defensive response to that period of innovation, that what we really need to do to bring students back and re-engage them in the coursework is to try and somehow recapture what our image was a traditional education pre-2020, that we need to move backward toward that rather than capitalize and extend the innovations that we were doing in the early stages of the pandemic. I don’t want to paint with too broad a brush on that, but I have seen some of that elasticity, that rubberband effect, in talking with folks across the country about some of these issues. So I think those two things are at the forefront of why some folks might resist that. And none of those really has to do yet with really trying to unpack people’s own philosophies of education, or how their grades and their grading models tie into their values that they have with respect to education. So that’s even kind of a deeper level that you can’t even get to until you address some of these other concerns.

Rebecca: And when we’re crunched on time, things that we’ve done before are easier to implement. And it’s also hard to find time to reflect on our practices and to do some of the things that you’re talking about, in thinking about how our values align with what we’re doing. We’re really good as institutions of talking about equity, but we don’t always fully analyze how our practices impact actual equity.

John: And we were all the products of a graded system. And we were somehow successful in that, or we wouldn’t be in these positions. And so I think there may be a little bit of psychological resistance to changing something that has been so fundamental to our own experience.

Josh: Yes. I think a huge capital Y-E-S [LAUGHTER] to both of what you’re saying, that Rebecca, your point, we are not very good at really interrogating how our practices may or may not be aiding our equity goals or advancing our equity goals. And John, yes, we have succeeded in graded systems. And I do think the psychological is a part of it. If we were able to do it, why shouldn’t other people be able to manage this? I think that is what some people think. And more than that, I often see a kind of defensive fallback. Part of this is natural, in that we love our disciplines and devoted our lives to our disciplines, but a fallback toward if I get rid of grades or if I change my grading system, what does that mean for the standards of my discipline, for how people will engage with my discipline? And so I think that’s a psychological element of this as well. And it comes out in arguments about rigor and standards, but what it’s really about is the individual psychology, I think, of the person making the argument.

John: Are there other topics from your book that you’d like to discuss that we haven’t?

Josh: I think the reform efforts that I have seen succeed, and those that have failed, always have hinged on communication, at every level. Why are we doing this? What is the purpose of it? How do we bring people into the process very early on at all levels. At the K-12. level, that means parents, teachers and administrators working together. I think at higher ed, it means utilizing the expertise of faculty right out of the gate, allowing them to shape the narrative and the conversation and the direction and draw on administrative and staff resources to help enact that vision, rather than having a top-down mandate that you had to change your grading. That’s never gonna work in higher ed. But I will say that the communication is what drives all of that work. And it is the hinge that either allows one of these efforts to succeed or fail.

Rebecca: Well, we have a lot to think about, but what’s next, Josh?

Josh: So, what’s next? Well, the book comes out at the end of August and so I’m really excited to launch that and to finally have it in people’s hands and have lots of conversations about what’s in there, hopefully, So, that’s what’s immediately next. I am thinking about the next project that has something to do with the students who are coming to college now are the students who their entire K-12 experience has been shaped by the Common Core, and the obsession with standardization in America, and so what does that mean for higher ed? And what does that mean for those students and their learning? So, I’m in the very early stages of trying to think about that a little bit, but that might be what the next project is.

Rebecca: You always have great projects, Josh, and get us thinking about really important topics. So thanks for your work. I’m looking forward to sharing your new book.

Josh: Well, thank you both very much. It’s always a pleasure to be on this podcast, one of my favorites, and I’d love talking to you both about all these issues, so hanks very much.

John: It’s great talking to you again, and I’m looking forward to receiving my copy of this book in the summer. I ordered it as soon as I saw the notification that pre-orders were available.

Josh: I appreciate that, John, 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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339. Industry to Faculty

Some faculty begin teaching as a second career, after working in industry. In this episode, Kevin McCullen and Michael Walters join us to discuss how their prior careers in industry helped prepare them to design authentic learning experiences for their students.

Kevin is an Associate Professor of Computer Science at SUNY Plattsburgh. Prior to joining the computer science department at Plattsburgh, Kevin worked for several years at IBM. Michael is an Associate Professor and Chair of the Physics Department at SUNY Plattsburgh. Prior to joining the Physics faculty, Michael was the CEO of EISWorks Technologies and a metrology engineer for Corning Inc.

Show Notes

  • Design Automation Conference (DAC)
  • Consortium for Computing Sciences in Colleges (CCSCNE)
  • Clark, D., & Talbert, R. (2023). Grading for growth: A guide to alternative grading practices that promote authentic learning and student engagement in higher education. Taylor & Francis.
  • Lang, J. M. (2008). On course: A week-by-week guide to your first semester of college teaching. Harvard University Press.
  • CircuitPython
  • R.P. Colwell, At random – Employee Performance Reviews, IEEE Computer, 35(9), 12-15, Sept 2002

Transcript

John: Some faculty begin teaching as a second career, after working in industry. In this episode, we discuss how prior careers can prepare faculty to design authentic learning experiences for their students.

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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 Kevin McCullen and Michael Walters. Kevin is an Associate Professor of Computer Science at SUNY Plattsburgh. Prior to joining the computer science department at Plattsburgh, Kevin worked for several years at IBM. Michael is an Associate Professor and Chair of the Physics Department at SUNY Plattsburgh. Prior to joining the Physics faculty, Michael was the CEO of EISWorks Technologies and a metrology engineer for Corning Inc. Welcome Kevin and Mike.

Mike: Thank you.

Kevin: Hello. I will just say 32 years is several.

John: It is. [LAUGHTER]

Rebecca: I think that’s the official definition. Well, today’s teas are:… Kevin, are you drinking any tea?

Kevin: I have Harney and Son’s Hot Cinnamon Sunset.

Rebecca: Oh, that’s a good one.

Kevin: It’s my go to tea.

Mike: And I accidentally left my tea in the car, but I do have a cinnamon tea that is by Tazo.

Rebecca: Yum..

John: Very nice.

Rebecca: Cinnamon’s are a favorite at my house.

John: I have that too, and I enjoy that one. Today, though, I have a spring cherry green tea.

Rebecca: And today I have Hunan Noir, which is very tasty.

John: Each of you received a PhD and worked in industry for a number of years before joining the professoriate. We’ve invited you here to discuss the transition from industry to academia. Many of us just went to school and never left. And we thought it would be interesting to hear the perspective of people who’ve been out there working and returned to academia. Could you tell us a little bit about your initial careers in industry?

Kevin: Well, actually, I took the roundabout path in that I joined IBM after my bachelor’s degree and IBM paid for my graduate work through programs that they don’t have so much anymore. And I always wanted to teach. And when I graduated as an undergraduate many years ago, I was kind of burned out on school. And then it gets hard to leave after a while because it becomes very comfortable. But eventually I kind of felt like it was time. I was becoming I would say more uncomfortable in the situation I was in in industry and opportunity presented itself. I had actually been looking for a number of years for a good local opportunity because I didn’t want to relocate. My wife still works for IBM. And Plattsburgh had an opening and I applied for it. And there’s a very funny story in there with the conversations with my management over that. But I applied for it, and they accepted me, and it’s been a lot of fun.

John: You mentioned a funny story, I think [LAUGHTER] that requires a follow up.

Kevin: Oh, it was just that I had submitted a presentation to an industry conference. So I’d gone through all the clearance work to get it approved, patent clearance and all those things, and it was not accepted. And then when the position opened up, and I applied for it, and Plattsburgh invited me to come over and give a presentation, I went to my manager, and I said, “So do you remember that presentation that we got approved for DAC? Can I go give it at SUNY Plattsburgh?” And she said, “Why?” And I said, “Well, they have an opening, and I’d like to apply for it.” And I said, “Don’t worry too much about it, because my guess is that they can’t afford me, even if they do give me an offer.” And she said, “Sure, go ahead and do it.” So I came back to her about a month later. And I said, “Good news or bad news. The bad news is they can’t afford me. The good news is I’m going to take the job anyway.” And we parted on good terms.

Mike: So I did get my PhD before starting in industry. And I sort of backed my way into industry. I was thinking about staying in teaching, but I was worried I wasn’t a good enough physicist to actually go for it. I have impostor syndrome very badly. And so I looked at going into industry because I was worried I was going to only teach freshman physics for the rest of my life, because that’s the only thing anybody would trust me to do. I went into industry for nine years, I did not have to approach anybody to see if it was time to leave, because they approached me and said, “Congratulations, you work your way into a research position at a production facility. That’s a pretty awesome job. And now we’re in a recession. So we don’t need you. Goodbye.” [LAUGHTER] I applied to a couple places in industry, had a position semi-offered to me at a solar panel facility in Oregon. And I could not say to the person who’s trying to hire, “Do you want this job?” He asked me three times. And after the third time, his shoulders just slumped and said, “You can just tell, okay, that was done.” And on my way home, my wife asked me, “Well, how did it go?” I’m like, “ah, I didn’t get that job.” I told her what happened. She’s like, “That’s lovely, dear. You have to figure out what you want to be when you grow up because we need a paycheck.” And at that time, I said, “Do you mind if I tried to go back into teaching? I think I really want to go back to it. Maybe I can not teach just freshman physics.” And so I adjuncted for a year at two institutions near my parents’ house. And SUNY Plattsburgh was looking for somebody who had a physics background but had engineering experience for their engineering three plus two program. I was a visiting professor for a year and then worked my way into a regular position.

Rebecca: I think there’s a lot of folks that are considering moving around and shifting careers at different points in their career. Can you talk a little bit about what that actual transition felt like that first year, maybe, back in academia?

Mike:Well, I can say three things that strike me when I was moving back into academia. Number one, I surprised myself finding out I can teach something besides freshman physics, so that was a great thing to figure out in getting some confidence there. The second thing was, and Kevin and I have joked around about this before, the pressures of academia in general, compared to the pressures in industry are at different scales. [LAUGHTER] And so we used to have fun when people would come up and talk about the pressures of doing stuff, we’d sort of chuckle a little bit, and go,”Yeah, this is pressure,” and I respect it, because there is definitely pressures in academia. But we can also talk about the times when you’re sitting around the office going, “Am I on the cutting block this time around?” …because you know, layoffs are coming this month, or even if you’re not on the cutting block, looking around at your friends and going, “Who’s not going to be here next month?” …is not a pleasant feeling. So being in academia made me feel more relaxed. I didn’t have tenure yet, but just the idea of knowing you belong, and you would know, hopefully, coming up if something was going to happen that way. And lastly, the camaraderie of the department … I am blessed to be in a department that was a very close-knit department. They were very supporting, they felt bad that initially, my office was in the middle of nowhere in a closet, basically, because that’s all the space they had. Kevin, I was on the fourth floor in one of those little side cubby holes. I only could see the sky from a skylight, literally everything else was cement.

Kevin: I thought you were talking about the office I first saw you in which also resembled a closet.

Mike: Yes, well, that was a different closet, [LAUGHTER] but it was a better closet. But anyhow, it was great having that camaraderie and having that trust, and that trust grew into a new major, because they trusted me to go ahead and take out the robotics major, and kick the wheels and let it go out for a spin.

Kevin: For me, it’s autonomy. I see a lot of people, I read the Chronicle and such, and it’s like making the transition to industry, and I’m thinking they’re going to have an interesting end of the year when they sit down with their manager to talk about how they did against their goals for that year, because it can be a little head spinning. My first year, I kind of felt a little lost, because it’s like if you had a guide, if everything you do is coming down from above, even if we get to a relatively high level in an organization like IBM, you’re driven by strategies that are sent to you and you are a piece of that strategy. And now you’re kind of an independent agent. And it took me a little while to get comfortable with that. But Mike and I both know people who really, really are struggling with the pressures of academia and all the things. I feel like I have a lot more ability to say “JNo,” and to say, “No, this is my limit of how much I am willing to take on and so I’m just going to steady on here.

John: I was talking to one of my advisees, who’s planning to go into a PhD program. And he said he was researching the market for a PhD economist, and he noted that jobs in industry paid a lot more than jobs in academia, and jobs in the government was somewhere in between academic jobs, and that, and he asked why there was such a big difference. And I used basically the argument that you just used, that you get a lot more autonomy when you’re in an academic setting, in terms of research, in terms of what you teach, in terms of what you focus on. And that’s something that I think we all value quite a bit. Was there anything that was surprising when you made the transition to an academic environment full time?

Mike: I’ll go with the autonomy. I mean, that was really surprising. Where all of a sudden nobody was breathing down my back. Where are the deliverables that you were supposed to get here? Other than getting classes together and doing your best that way? Yeah.

Kevin: I’m gonna go back to actually, it was a funny question I asked the Dean when I was hired, because I have kind of a long commute, as does Mike. And I was a little concerned about doing a commute from Vermont to New York five days a week on the ferry. And I asked the Dean, what are the expectations in terms of like, where you work, because even at IBM into the 2000s, we did a lot of working from home, pretty flexible work environment. And he said, one of the biggest changes when he moved out of teaching into administration was an expectation that he was in his office. And it’s the freedom and the flexibility. I’ll say one other thing, that was kind of weird, though. It’s the summers, and I’m a volunteer with several organizations. And immediately there was an assumption that I had nothing to do during the summer, and that I would immediately become available to them. And what I’ve taken to telling people is, the way that summers work is, I have a lot of things to do, but nowhere I have to be. And by the way, biggest surprise is that from what I have observed, we have the whole summer and everyone still does their syllabus three days before the semester starts.

Rebecca: We’re deadline driven, [LAUGHTER] just like our students. We are no different and that’s for sure. Can you talk a little bit about how your prior work experience has shaped your teaching practices.

Mike: So when I first came back into teaching, I taught in a very traditional sense. I would have the PowerPoint slides, I would have the graded homework, I would have the tests and exams in class so we can make sure everything is all above board and all that other fun stuff. And then as I go through, I think more and more back on what was important when I was working, and how that work environment operated. I now have moved as far away from trying to test as minimally as possible, if not never, and do much more project-based learning because that’s what I did. And even when I give a test, I would give a two-fold piece of the test. The first bullet piece is the closed book portion, which never ever had a calculation in it. And I told my students, when I was at a meeting, I was there as a knowledge source. And so I’d have to know somethings off the top of my head. That’s what they paid me the money for . And then if they asked me a question about X, Y, or Z, that had to have some calculations based into it, we’ve never had to do it right there on the table. That was not something you did. You could go back to your office, you could use all your resources, you could pull together the things you needed for that project. And so I tried now to model my classroom along those points, I will tell them, these are the things you need to know off the top of your head, this is the stuff that they’re going to pay you for that boom, boom, boom, you need to know. But everything else, Google is your friend, having your textbook there is your friend. And so on any of that stuff it’s open book, open notes. It’s a little harder with AI now. I’m not going to lie. But still, in general, if I was in industry, that would probably be where I would start as well. Oh, I need to do this. Okay, “Hey Google blah, blah, blah, blah, blah.” There’s my starting point. Now let’s move on forward.

Kevin: I think two things. So I spent the 32 years that I was at IBM, I spent one year doing microprocessor design and the other 31 years, I was in software development. And I’m a big believer in soft skills. And some of that comes from also being an ex-Scoutmaster, and heavily involved in scouting. But I tell my students, I try to instill in them the idea that your communication skills are vital to your advancement in your career. Everybody can code, but as you advance in your career, as you go further up the ladder, you’ll have larger responsibilities and you have more communication responsibilities, till you reach a certain point in which you live from being as technical toward being more in terms of communication. But one of the last things I worked on was I was basically project managing the, what they call the enablement for a test site, which is to say, just getting all the pieces together to build an experimental chip and a new technology. And that was primarily a communication job, it was a project management kind of thing. The other thing is the importance of group work and project work. And being able to work with other people that those, I think, as well as for my computer science students, algorithms really do matter. And anybody can write code that slow. But it’s important that you understand enough of the algorithms. And that’s because I entered industry as an electrical engineer, I had no background in any of those things. And I wrote some spectacularly bad code, when I was back in my 20s, before I started taking some graduate courses and going, “Oh, wow, there’s a better way to do this.” And so those are kind of the things that I think are important.

Mike: I want to piggyback on the group work part, I do a lot of group work as well. And one of the things I tell my students because I will always get the “Well, I’m the strongest person on this team, I’m doing all the work.” And I go to a “Yeah, congratulations. I said there was never a project that was less than $20,000 I worked on by myself. You’re always part of a team, you’re never a loan problem solver, if there’s money involved, because they want the others to be part of it and keep track of it and make sure it happens as fast as possible.” So group work where sometimes we let them off because of the whole stigma of “I’m going to be the only person working on it. Everybody is going to be a hanger on.” Well, when you get paid, that’s going to happen too and all you have to do is smile and say, “Yay, thank you,” and keep going [LAUGHTER] because you’re getting paid to do the thing.

Kevin: But I’ll just add that there’s no industry group I’ve ever worked on, where there weren’t checkpoints and communication of where things were. And so I know Mike does a lot of these kinds of things as well, which is the idea that what happened when we were undergrads where they basically say, “alright, you’re in a group, go do this, and then deliver the product.” So even in student groups, the importance of having checkpoints, and I basically have them write progress reports like you would do in industry along the way. It’s not “Here’s the project, go do it. Now here’s an end result.” It’s more like “Okay, you’ve gone for a week. What has each person done? What’s your next step?” Those kinds of things.

Mike: And while we’re trying to develop these skills for students going into industry, we think that there… well, I say, and probably Kevin will agree, they’re important no matter where you’re going to go into, including academia or any of the other spots. So I don’t want to make it sound like we’re trying to educate students just to go into a particular engineering job. But this is more of a realistic facet of life in general.

Rebecca: Do you think you both would have found this same path in teaching had you not had the industry experience and kind of underscoring and value some of the same things that you do now?

Mike: Absolutely not. You like what you’ve seen, and so we would have seen “sage on the stage,” and that is what we’d do. And to a point, that’s where we all start, right? I mean, there’s that sage on the stage piece, and then you start saying, “Okay, there’s got to be something better, because I’m not reaching all my students.” So how can I do that with the knowledge that you never will reach all of your students, but you got to give it the best bet you can.

Kevin: I think when I started, one of the big differences was the deference that people showed, it’s like, “Oh, you’re a faculty member, oh…”, and I worry, actually, if I had been 28, and started teaching at that point, that that would have gone to my head, and I would have started to believe my own PR. I don’t see people around me with that problem, but kind of a stereotype of academia. And you do read stories about actual faculty who are like that. But working in industry can give you a good strong sense of humility, because you have successes, and you have failures along the way.

Mike: So I will say in industry, there was still some of that out there. I mean, I used to get emails from my PhD colleagues down in Painted post, who would talk down to me because I was at a plant saying, “Oh, let me explain this to you in very simple terms.” In the very next email, I would just respond. “Well, thank you so much for your guided steps. Dr. Michael Walters, PhD da da da da da.” it was amazing. The next email was much more as an equal instead of I will talk down to you because you are way out there in the hinterlands. Do you know how to rub two sticks together to get fired, because you might need that you’re in the cold part of the country.

John: That reminds me of a time when I was coaching soccer for my sons’ teams. And there was another child who was on the same team three or four times over a space of four or five years. And there was an article that mentioned me in a local newspaper, and this mother came up to me and said, “Well, I knew you worked at the college, but I assumed you were a janitor there.” It was an interesting experience, because she always saw me out there in sweatpants and t-shirts and just assumed “Well, that’s not how a professor looks.” I think maybe that attitude is more common in elite private institutions, Ivy League, and so forth. I don’t think I’ve seen it at Oswego, which is very much like Plattsburgh, in terms of being a four-year comprehensive college.

Kevin: Well, if you wanted to, you could have coached in the tweed jacket with the elbow patches, and then they’d have all known.

Mike: And a pipe, you gotta have the pipe. You don’t have to put anything in the pipe, because that’s bad. But just the pipe itself.

John: I actually had one of those sports jackets. And it was a running joke with some of my students back in the 1980s, [LAUGHTER] because I just had that one sports jacket, and I wore it whenever there were honors, awards, and so forth. And they still ask me about it 35 years later. [LAUGHTER] But you know, one of the things I’m hearing from both of you is that you’re both doing some authentic assessments, which is something that we’re trying to encourage faculty to do in general, to move beyond the traditional types of teaching. How do you find that students react to these types of group projects or the teamwork or other things that you’re having them do?

Kevin: I’ve had, I think, a lot of success with it. I can’t think of any really bad experiences. Mike’s nodding his head. But I have a poster actually coming up at CCSCNE on our tech startup class, that actually, Dr. Del Hart, our department chair, the person who kind of came up with this idea, and then he came to me and he said, “So you’ve worked in industry, and you’ve been a Scoutmaster, how would you like to try leading this class, and it’s a multi-level multi-semester class where students basically can take on different roles based on whether they’re 400, 300, or 200 level in the class, and projects can run for multiple semesters?” And it’s probably one of the most fun classes I’ve ever taught. Because a lot of times I found myself, I don’t teach it now, but I found myself actually telling them “Slow down a little bit. Let’s establish some realistic goals. I know you’re very excited about what you want to do here.” But I think generally, I find the project work goes really well. But I do try really hard to make sure that I’m aware of what they think is going on with their team through various assignments that I collect that are like reflections or statuses.

Mike: I’ve had overall success. There have been times where there’s been failures, one or two semi spectacularly. We do a intermediate robotics lab, which is a project-based group class and at the beginning of the semester I give them what I call a 90% google-able project and say “Okay, from here on out, your group is now doing this for the rest of the semester. If you get done with part A, there is a part B you can have as a stretch goal if you want, but this is what you need to do.” And I try to emphasize that failure still means you can get an A, it just means that you failed at trying to get the project to work. The 10% is the hardest part of the whole project for any of these projects. Working for Corning, I was working on the bleeding edge of technology. And so I was always a horrible person till then in saying how long it’s gonna take to do something because I’ll say “it takes two weeks,” because it looks simple. And at the end of the two weeks, my boss would come back to me, “How’s that going?”” I got the first step kind of done.”” What do you mean kind of done?” “We’re still inventing something brand new, it didn’t happen as fast as I was hoping.” So when the project does work, this 90% thing, it’s great to see the students get excited, they see progress, they keep moving. And then what’s funny is then the cockiness will come out and say we can get this done in that three weeks, I’m like, “Yep, you’re just like me, we’ll see you at the end of the semester.” And sure enough, [LAUGHTER] that’s when it’ll happen, because they’ll run into wall after wall after wall because that last 10% is hard. But I do get sometimes, like this past semester, where the project I picked ended up being a failure. By the end of the semester, it did not work the way it was supposed to work, they could not get the robot to do the thing. And you can tell that towards the end, they were getting really down. I mean, really, really down. And at our final session where we basically talked about what worked and what didn’t work for the project, basically, I told them, “This is what happens probably 25 to 50% of the time in industry. You’re going to work on a project, work on a project, and it’s not going to work.” And there’s times when you got to sit down and say why doesn’t this work? And then go to your boss and say, “Well, you either a didn’t give us enough information, or enough resources or a combination of the two.” And I told them, “I didn’t give them enough resources to make it happen.” But we got to this point. So I pumped them up like, “Here’s the teamwork that you did, this is all great.” And they all got their “A” because every single person contributed and worked towards it. But those failures can sometimes be problematic. On the flip side of it, doing so much non-assessing means I go ahead and give them a lot of homework assignments that once again, are graded basically, “did you hand it in?” Did it kind of do the thing was supposed to do? Yay, you get all the points. And what’s funny is I thought this semester where I cut up all my tests. I have no test this semester whatsoever. Everything is you have homework, classwork, and a project. That’s it. And the beginning of semester, I was nervous. I was like, how am I going to differentiate? Not that I care. If all the students get As I’m happy. But I just want to know if I had to differentiate, how am I going to do the differentiation based on the system? Well, my students have proven to me that they can self select, because they stopped doing assignments. So they stopped doing whatever. And it’s like, “okay, this is how self selection will work.” It’s not that I don’t even come to them, say, “by the way, you haven’t handled this in…” “yeah, I’ll get to it.” We’re human, they’re not going to get to it. And that’s fine, too. But it ends up being almost more psychological of “You didn’t prove to me, not only that you didn’t know the material, but you also showed that you didn’t have the discipline to get that piece done.” And whether that is the focus of my class or not, I don’t know. That’s the negative to this type of assessment. I can’t tell if it’s because they didn’t know the material. So therefore, they didn’t feel comfortable trying to finish the assignment, or whether life happened. And that’s the only negative I’ve seen so far about using this assessment, because you see them not be so stressed, because there’s a test coming up and not be so focused “I’ve got to cram this thing together,” then five minutes later don’t know a single thing when you go talk to me in the hallway about what I put on the piece of paper.

Kevin: It’s funny in that class that I started by actually did something that would be called ungrading. And I used something I’d found in an article years ago, I could find the reference if I had to, but it was how Intel assessed people is managers would come in initially with a sheaf of overhead slides, then they’d have “this person should be promoted.” And you look at it’s here slide 1 of 60 kind of thing. And they went to this thing, I think they call it three up, three down, where you had to give three positive and three negative for the person and then summarize. And I actually had my students in that class for their midterm and their final grade, they had to do those. They had to do a self assessment, they had to tell me three things they were proud of, three things they could have done better or they didn’t do well, what they thought their final grade shouldn’t be and why. That class, though, that was a pretty much a highly selective class, that it was very, very seldom that a student checked out. And part of that was because the person in charge of their project was the 400 level student who they had agreed to work on that project with. And so there was a lot of peer interaction that led to just generally, I think, really good outcomes. Dr. Lecky’s teaching the class now, and from what I hear, he’s having a very similar experience with that course sequence.

John: One of the things we’re doing right now, and I know Kevin, you’ve already been participating in this, is a reading group on Grading for Growth by Robert Talbert and David Clark. And one of the points they make in their book is that, while we’re so used to traditional grading because we grew up with it, and that’s what we’ve always done in some way, one issue is the only time people tend to be graded this way is in academia, when they’re working in industry, they’re reviewed, but they don’t get grades, they either meet the requirements or they don’t, or if they exceed them, there are chances of promotion and so forth. But in pretty much everything else, including our own careers, we get renewed, we get tenure at some point, and there may be some other additional pay increases based on how well you’ve done. But we don’t get letter grades. And we don’t get numeric grades every year. And one of the things I’m noticing is you’re both doing some types of grading that are closer to the types of experience that you’d find in industry. Do you think that made you perhaps more willing to try these types of things that a lot of faculty have been really reluctant to experiment with?

Mike: I think so. When we talk about the industry thing it brought back a story, I one time was in a review, and I was rather well paid at this plant. And so they had high expectations for the salary they were paying me. I remember, I was talking to the plant managing engineer and they even brought the plant manager in during my review. So either this was gonna be a really good thing or a really bad thing. When I walk into the room. It’s like, okay, which way is this gonna go? I thought it was a bad thing. But what’s funny was they gave me a “met expectations.” But the plant manager turned to me he and he goes “I expected you to “exceed expectations.” I’m like, “Well, how am I supposed to exceed expectations? By default, you’re saying that is your expectation. So therefore, I either met the expectation or I didn’t.” And we got into a heated verbal argument for a little while. And eventually, I said, “Look, you either give me met expectations, or I didn’t meet expectations, I don’t care. But what you just said makes no sense.” And she threw up her hands and left, and I got “met expectations.” But it was just one of those things. It’s like even using these types of methodologies, sometimes you get conflicting viewpoints that goes forward. As to what your question asks, yeah, I think with the industry, this is why I’m gravitated towards that. I teach a class called fundamentals of engineering design. And when I tell the students why this class is there, I said, it’s everything I wish I knew as an engineer, before I became one. I was a physicist, I didn’t go through any of these preparatory courses, and then boom, here’s an engineering role, go run with it. And so being able to help my students be in a better situation when they go out into industry, which I assume most of my students are going to do, is a good thing. And any of the skills they pick up because of this isn’t bad if they stay in academia. Maybe this helps break the cycle of, we only can test and do homework for grades. By the way, I’m just gonna throw out my pet peeve for all of you out there listening. My biggest pet peeve is if you grade homework like a test, and count it, where are the students supposed to make the mistakes? That’s the thing that always used to tick me off. Where do I practice and get legitimate feedback on my practice, to know where I’m making a mistake such that when I go ahead and then perform, I know I’m performing at a higher level. That part always bothered me when I was an undergraduate. That was from day one, when I started adjuncting, I said, I’m not going to do that. Homework is going to be: did you try it or did you not try it, period, That’s it.

Kevin: I’m gonna make just one little thing. IBM really, really tried very hard for a long time to just grade people. We had a system where you had an appraisal or a personal business commitment. And at the end of the year, your manager basically gave you a score from one to five. The system changed many times over my years, but: one was, you’re on track, we’re going to promote you, you’re doing awesome, and a five was it was nice knowing you, but you generally knew where you were going to fall. And I won’t get into all of the arguments over the years as to whether there were ratios or stacked ranking, and at what level in the organization, there was a quota on how many could be at each thing. Actually, those kinds of systems caused a lot of the negativity that made me think that maybe I wanted to go to teach. I think, for me, one of the really big things has been, as soon as I started teaching, I started trying to learn how to teach, because I walked in the door, I adjuncted for one class at the University of Vermont, it was a graduate-level course and I really enjoyed it, and it was great. But I realized how much I didn’t know about teaching. I had my teaching statement when I applied for the job, actually leaned really, really heavily on stuff I’d learned as a boy scout leader, and then like a leadership course called wood badge, a six day leadership program. And I had learned a lot of what was basically active learning as part of that program, something called the edge method: Explain, Demonstrate, Guide, Enable sort of thing. And so I had kind of this foundation that came from a very non-traditional place in terms of pedagogy. And I came in and I started out doing exactly what I had experienced, which was you stand up, you lecture, you use PowerPoint, it’s really cool, you give homeworks but at the same time I started reading stuff and a lot of it was James Lang’s books. I think I’ve read all of his books, because the first one I read was On Course, and I think that they should give every new faculty member a copy of that book during orientation, because it got me through my first year. I have a copy in my office that I think has got a thousand post it notes stuck in it. And then I started reading his other books. And then I started reading the books he was talking about. And these days, I love to teach my classes in our programming lab, because when I can, it takes more prep time, but it makes actually the class easier for me in a lot of ways to do a little bit of lecturing and then say, “Okay, now you get the computer in front of you, go make JavaScript to do this.” And I’m going to walk around the room and help you do it. And so you’re kind of turning even lecture sections into labs, in that sense. And I find that’s a lot of fun for me. And I think the students find it more interesting, because some of them kind of struggle. But the thing is, there’s me, and there’s the other students around them. Like when I give quizzes, now I hand out a quiz, I say, “Take about 10 minutes and work on this.” And I say, “Okay, now compare your notes with your neighbors.” And then I say, “alright, let’s discuss it.” And at the end, I collect it, and basically say, “There you go, you get credit for being here, because you did this.” And I have a couple of students and Mike would know their names, I won’t mention them, they sit there, and when I give him one of these things, they’re way beyond anything I’ve even envisioned, they’ve gone off. But other students, I have to sit with them and help them. And I just find that’s a lot more satisfying for me as a teacher than to stand at a whiteboard and scribble on it for 50 minutes, or mine are all an hour and 15 minutes this way I set my schedule up.

Mike: I’ll agree with that, and I’m actually moving more and more of my courses over to, I will give you the bare minimum that you need to do what I’m about to ask you to do, and then go do this thing. And practice it there. And I’ll walk around, I’ll help out, we’ll talk to everybody, make it much more of a laboratory class, even though it’s not a laboratory class, just because the interaction between their peers, their interaction with me, becomes more of a one on one instead of one on many. Way back when, I used to start off my class, when I would teach introductory physics with saying, “You could learn from the book everything I’m about to show you, and that’d be great. And if you never show up and just show up for the test, you could do that. Awesome, congratulations, we’ll see these dates and have a great time. I know. But if you come here and just listen to me, that gives you the book and me. But here’s the more important thing, look around the room, there’s 40 other people here. So that’s me, 39 other people and you. All of a sudden you have lots of teachers that could work with you. And as long as I help facilitate you being able to use that resource, you have many, many more options, because I might not have the analogy you need. But your friend next to you or the one over two rows from you might have that analogy you need to make that connection.”

John: Could you each share some of your favorite teaching activities that you use in your classes?

Mike: I’m trying to teach them brainstorming methods, especially technical brainstorming. I have 1 2 3 4 5 6 whiteboards in my room. And I’m going to ask in front of each whiteboard, “I want three technologies, just random three technologies.” I’ll keep writing them down without telling them what’s happening, three technologies on every whiteboard. And then I break them up into groups and give them each one color markers. They always use their color marker and say, “Okay, now the six groups go to each of your boards, you now have two minutes to write every single technology product you can come up with, that’s a combination of some sort, matter, or form of those three technologies.” And sometimes like it could be weird stuff like ice cream, rocketry, and such and such, and I’m like, “Yep, now you got to figure out how you’re going to combine those three.” And I tell them, “Okay, so if you’re the first person on the board, you’re gonna put a one next to your thing, you only get one point for every one you come up with. Then you’re gonna draw a line and the next group comes up, they get two points per thing they come up with, they can’t come up with something that you already have, all the way up to that final group, where now five of the groups that brainstormed, but everything you come up with now is worth six points.” So it’s like you get one or two things you just made up for your first board and second board without a problem. But it really shows them, sometimes those six pointers at the end, when you’re really just grasping at straws, become the things that you want to move forward on. It goes to writing even. So I know when I do my writing, it’s like that first draft, you did all the easy stuff. Now throw out all the easy stuff, and I’ll start putting the second and third order stuff that might make it much more interesting.

Rebecca: That’s a great exercise. It’s really hard to get students to get to that further step. They want to stop at step one or two.

Mike: Oh exactly, and making it a competition of which team can get the most points, get some of them, their juices flowing. And it’ll be funny because at the end, we go through everybody’s stuff like “is this a legitimate idea?” No, cross it off. Then it doesn’t count. That’s a group response of rating, basically, of the thing. And it’s funny because at the end, most of the time, I can’t get through all six boards by the end, and they’ll be sitting there going: “We got to finish this. I want to know who won.”

Kevin: …favorite teaching activities. I really do like and I do it a lot now, which is to give the students little coding challenges in C++ or JavaScript class, which is to basically hand out something that looks like a quiz, but it’s basically: here’s some coding, let’s do do this simple coding thing in class, because if I handed out as a homework, well, they could try using ChatGPT. Although I have to at some point talk with Mike about the fact that one of my students tried that and ChatGPT hallucinated a library for circuit Python that doesn’t exist. And as I said, on social media to my friends, I’m happy to set up a PayPal account, if ChatGPT wants to hire me as a consultant to debug their program’s mistakes, because the poor student had no idea what to do, because the code he was given was incomprehensible. But I really like giving the students an exercise to do in class. The second place I would say, was, when I taught our ethics course, I did a lot of debates in class. And sometimes I would let them self select what side they wanted to be on the issue like drone warfare things, other times, I would kind of assign them. And when they balk at that, I’d kind of lean hard into my own experience and say, “Well, you know, I debated in high school, and you didn’t get to choose what side you were on. And it helps sharpen your brain to argue something that you don’t necessarily agree with, to try to logically follow it.” I would say for in classroom, those would be for out of classroom, like project kind of things, the posters, having students do a poster session, at the end of the semester, actually printing the posters, and putting them up in the lobby of our building. And then having kind of a little session where people can walk around, just like a conference poster session.

Rebecca: it’s really great to hear the different ways that both of you have incorporated your industry experience into the classroom from changing grading systems to thinking about consistent feedback throughout the semester so that students can learn and always being on that verge of not quite knowing what’s coming next, like you are often when you’re in a tech field and having to constantly learn or have professional development or try things that are brand new to you. But we always wrap up by asking: “what’s next?”

Kevin: I am, as the phrase goes, playing with house money. I was at IBM for 32 years, my wife still works there. I continue to do this because I really enjoy it. And I love all three aspects of the job in academia, I love the research, which we do research, I think I would say with a small r,, not like R1 with a capital R. I love the research, I really liked the service. All that time I did at IBM, I can do committees like you wouldn’t believe. I know how to do that kind of stuff. And I know how to be helpful in that way. And I love the teaching. I mean, I’m teaching an honors seminar on algorithmic bias this fall that I’ve taught once before. I really enjoy teaching a new class every once in a while or creating a class. It’s a very intellectually stimulating field. And I’ll just do it until my wife and I decide it’s time to be able to go to Disney World in September or something. And my guess is that a few years down the road, I’ll probably retire. And I will continue to adjunct because the great thing about adjuncting is you can keep an email address and you can also still get discounts on software. [LAUGHTER] I kid you not. It’s kind of like “Hey, I’ve got all of the Adobe tools and I was playing with Dreamweaver for my JavaScript class and generative AI creating images the other day.” I’m so curiosity driven that continuing to teach as long as I’m enjoying it.

Mike: My “what’s next” is to try to become a better evangelizer for the robotics major here at Plattsburgh. We’ve been growing it slowly, and I firmly believe in what opportunities it allows people to have it going towards the future. I run a not for profit here in Plattsburgh that works with middle schoolers and high schoolers to give them robotics opportunities on Saturdays. I do this major, I’m chair just so I can make sure I have the time to devote to doing things. It is fun, starting something and watching it grow up. And I’m just having a ball with it. All the stresses and anxiety that come with that as well. But yeah, that’s my what’s next.

John: And going back to Kevin’s comment, before you make the decision to go to Disney World in September. If you start teaching online or doing some more work teaching online, there is the Online Learning Consortium, which has a conference at Disney World in November, which is a really great time to leave the Northeast. And it’s a four-day conference, but you get the special conference rates at the hotel for a couple of days before and a couple of days after. So you might be able to combine those things.

Kevin: I will have to look into that because the best conference I ever went to is Design Automation Conference, it was held at the San Diego Convention Center and I went to that a couple times for IBM for CAD software and it’s one of those 6000-person trade show conferences, top end technical conference and on the trade show floor, everybody’s collecting polo shirts and desk-y gadgets, that kind of thing. It can be a lot of fun. And I have stories about that that are actually very funny as well, because when you’re at one of those and the part of the company you work for actually competes with many of the companies you’re visiting, eventually they kind of figure out that you’re asking questions that an ordinary customer would not ask. [LAUGHTER] And they’re kind of like, what exactly do you do for them?

Rebecca: Well, thank you so much for joining us. It was great to get a chance to talk to you in more depth.

Kevin: This was fun.

Mike: 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.

Ganesh: Editing assistance by Ganesh.

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325. Looking Forward to 2024

As we enter this spring semester, we take a break from our usual format to discuss what we are looking forward to in 2024.

Show Notes

Transcript

Rebecca: As we enter this spring semester, we thought we’d take a break from our usual format to discuss what we’re looking forward to in 2024.

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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: So what tea are you drinking now, Rebecca?

Rebecca: I’m drinking Ceylon tea.

John: And I have ginger peach black tea from the Republic of Tea.

Rebecca: So it’s a new year, John, and we’re gonna have a nice positive episode. So what are you grateful for?

John: I’m grateful that we survived another year. I’m grateful for the continued return to face-to-face instruction and a continuing return to a more normal classroom environment and college environment after all the disruptions from COVID that lasted for a while. And I’m also grateful for the initiatives that we’re using on our campus, and most campuses, to provide more focus on equity and trying to reduce some of the equity gaps that we’ve been seeing. And I’m seeing a general interest in that across a wide range of faculty and the administration. And we’re just in the process of running some workshops, and we’re getting some really good attendance at workshops that focus on techniques that faculty can use to improve equity and reduce some of those gaps. And I’m looking forward to seeing continued expansion of more equitable practices. And also, we’ve had quite a few people trying to implement the TILT approach that Mary-Ann Winklemes has talked about on a past podcast episode, and we’re hoping that that, combined with the increased structure that many people are trying to use in their classes, will help provide all students with more equitable outcomes.

Rebecca: I’m really glad that you have brought up equity, John, because I was just reflecting on a couple meetings that I was in just this week, and thinking about how equity oriented many of our colleagues are. And it’s really exciting to see them really advocating for policies, instructional practices, and many other things that are really equity oriented, and thinking about inclusion, and access, and all the things that you and I have talked about for a long time and have cared about and tried to implement in our classes. I’m also really grateful for, and I know you are too, for the many guests that we’ve had who’ve shared their expertise with us and with our audience. When we do these weekly episodes, it’s so great to have the opportunity to talk to such experts, to learn from them, to stay fresh with what’s going on, and to be able to share it with everyone else. It’s an experience that I didn’t know that I wanted, and I’m glad that we get to continue doing it.

John: And one other thing I’m grateful for from last fall is I attended my first POD conference, and I got to meet dozens of guests that we’ve talked to before. And we’ve talked to them, we’ve seen them on camera, but it was so nice to meet them and talk to them in more detail and in more depth in person.

Rebecca: I felt that way when I went to EDUCAUSE for the first time this year and connected with a number of colleagues focused on accessibility and growing that network and really connecting beyond just names and emails and other ways that we’ve communicated.

John: What are some of the major things you’re watching in the higher ed landscape? We’ve seen a lot of changes going on in the last few years, what are things that you’re going to be focusing more of your attention on in the next year?

Rebecca: I know that some of the things that we’re working on in grad studies and that I’m personally really involved in are kind of some increased accessibility resources for our colleagues at Oswego as well as SUNY. I’m looking forward to building out some of those resources, sharing those resources, and wrapping up a couple of research projects related to accessibility and getting to share those out. And I’m really excited that the higher ed landscape generally is having a lot more focus in this space because students with disabilities have been often overlooked in our diversity, equity, and inclusion initiatives. And there definitely is a push to be a little more inclusive, and to have that population represented in these efforts and initiatives. We’re also really focused on ideas of belonging for a wide range of students, thinking about how do we get our online students connected to each other and to the larger population of students and to see them as members of our community, extending some of those features and opportunities for international students and really thinking about what some of their needs are to be successful at our institution, especially with our kind of rural location, and what can make things really excited. So I’m really looking forward to finding ways to support our students not just in the courses that I’m teaching or in my instructional role, but also in policies and procedures that we’re implementing at the institution,in grad studies, but more broadly as well. How about you?

John: One of the things that I’m really following closely is the development of AI. This came about a little over a year ago and it’s been a really disruptive influence. It offers a lot of tremendous possibilities, but it also provides some challenges to traditional assessment, particularly in asynchronous online courses. So I’m looking forward to continued development, it seems like there’s new tools coming out almost every week. And it offers some really nice capabilities to narrow some of the equity gaps that we have by providing low-cost assistance for students who may not have come into our institutions quite as well prepared. It offers a possibility of students doing a little bit more retrieval practice for those classes where instructors are not providing those opportunities. It offers students who, again have a somewhat weaker background, to take more complex readings that they may have been assigned and simplifying it and creating a more accessible format to help students get up to the level they need in their classes. And so it provides tools that can help students improve their writing, and so forth. The challenge, of course, is that it can also be used as a substitute for learning in some classes unless assignments are designed in a way, and assessment techniques are designed in a way, that reduces the likelihood of that and that’s one of the things we’ll be working on a lot this year, ways of coming up with more authentic assessment and ways of providing more intrinsic motivation for the work that students are doing, so that students can see the value of the learning rather than focusing entirely on grades. And one of the things we’re doing is we have a reading group coming up early this semester on Grading for Growth by Robert Talbert and David Clark. And we’re, in general, encouraging faculty to at least consider the adoption of alternative grading systems, which shift the focus away from students trying to maximize grades to maximizing their learning. And there’s a wide variety of tools that could be used for that, ranging from mastery learning quizzing systems, which many faculty have already been doing through specifications grading, contract grading, labor-based grading, and also ungrading.

Rebecca: Yeah, it’s really exciting that we’re going to focus on that semester, something that I’ve been interested in for a long time and have been using in my classes as well. I’m glad you mentioned AI, there’s certainly a lot of promise, and I’ve been really excited by how many faculty, staff, administrators who’ve actually really been engaged in the conversation around AI. I think sometimes there are new innovations and things and people kind of brush it aside and don’t always think it applies to them or isn’t relevant to them. But I think this is something that’s relevant to everybody. And most people are seeing that and engaging in the conversation, struggling in the conversation, but at least we’re doing that in community. And I think there’s some power in that as we think through policy, in assignments and all the things that we need to think about to provide an enriching experience for our students, but also engage and use the tools and the power that they offer.

John: One other thing I’m following is the development of a wide variety of new edtech tools. We saw an explosive growth in the development of tools and expansion of their capabilities in response to the COVID pandemic, but that growth and expansion hasn’t dropped. And we’re seeing more and more tools that have often been designed based on research about how students learn. And I think we’re going to see expanded use of many of these tools in the coming year.

Rebecca: And I think a lot of faculty got used to experimenting with these tools during remote education and are continuing to use them in physical and virtual classrooms, which I think is really exciting, maybe even more exciting to me was attending big conferences like Middle States and actually having a presenter use some of these edtech tools as part of a plenary. So rather than having more of a lecture style session, it was more of an interactive session, which doesn’t always happen at conferences of such scale, or these more leadership conferences. So it’s exciting to see that we’re modeling some of these practices at the highest level so that the wide variety of individuals involved in higher ed are experiencing learning and engaging with these kinds of tools. Along the same lines, I’m also excited that many of these tools are starting to actually attend to accessibility, in part because higher ed institutions are really pushing back to third-party providers and requesting them provide information about accessibility, and even refusing to adopt tools if they aren’t meeting basic accessibility principles, which I think is really excited and really important.

John: And I saw something very similar both at the POD conference where you might expect to see people creating more interactive workshops, but I’ve also been seeing it in the workshops that we’ve had in the last couple of weeks here. We have a record number of faculty presenting in workshops, they’re using polling, they’re using tools like Mentimeter and they’re doing many more interactive activities than in past years. If we go back a few years, many of the sessions that were presented were essentially straight walkthroughs through PowerPoint slideshows with not a lot of interaction with the participants. And our workshops here have been both in person and remote over zoom. And people have been working really effectively to bring all the participants into the discussion and into the activities, regardless of whether they are in person in the room or remote. And it’s been nice to see that. Much of that I think did grow out of the experiences of COVID, and people just getting more comfortable trying new tools.

Rebecca: Come to find out, practice helps us learn things.

John: Also, our campus enabled the AI Companion in Zoom, which will provide meeting summaries for people who arrive late or people who come in at the end of a discussion. And I think that’s going to offer some nice opportunities for people who may have missed part of the discussion early on in a session, or in a workshop, or in a meeting, because so many of our meetings now take place over Zoom.

Rebecca: And there’s lots to be watching that are also highly concerning, but John and I resolved that we weren’t going to focus on those today.

John: So this will be a relatively short episode. [LAUGHTER]

Rebecca: So continuing on this theme of gratefulness and positivity, John, what are you looking forward to trying this year, or focusing on in your own work this year, or committing to this year?

John: One thing, and this partly follows up a couple of podcasts we’ve had in the last year or so. In our campus, many departments are working to build in some of the NACE competencies into their classroom. And there’s some really significant advantages for that. If it’s done well, it will help students recognize the intrinsic value of the things they’re learning in class and recognize that these are skills that they’re going to need later, which again, helps provide much more motivation for students to learn than if they just see a series of activities that instructors ask them to do, and they don’t see the value of that. So by making the connections between what we’re doing in the classroom in terms of the development of critical thinking skills, teamwork, and all those other NACE competencies, it offers some really serious benefits for students and for faculty. Because if students are more engaged in the activities and understand the purpose of them, I think they’re going to be much more likely to focus on the learning rather than again, trying just to get the highest grade. And that’s also very consistent with the TILT approach that we mentioned earlier. If students understand why you’re doing things, they’re going to receive the techniques and engage in them more productively than if they didn’t see the value of those tasks.

Rebecca: Yeah, I’m glad that you mentioned TILT as well. We mentioned it earlier, but I was just remembering that one of the things I wanted to mention while we were talking today is a commitment to thinking about TILT, not just in a classroom context, but all the other places that touch a student experience. So thinking about policies and procedures and ways that we can use a TILT approach to really improve transparency and clarity for our students and provide some equity and access by doing so. The other thing that I’m committed to trying to do is get back to more play, we’ve had some episodes on Tea for Teaching focused on play. And they always get me really excited about some of the things that I’ve done in the past in some of my classes and that I’ve done with some of my colleagues… and that the burden of transitioning during COVID to remote learning, some of these things have taken time and maybe attention away from play. And I’m hoping to take some time in 2024 to put some more attention back on being a little more playful.

John: So, you think education could be fun?

Rebecca: Maybe.

John: Okay. [LAUGHTER]

Rebecca: I’ve moved to doing some exercises and activities again a little more recently that get to some of these more playful ways of creating and making and thinking through complex problems. And every time I do that the students appreciate it. I have more fun, they have more fun, and I think a lot more learning gets done.

John: Since we want to focus on the positive, we’ll leave challenges for future episodes.

Rebecca: We’ve got all of 2024 to do that, John.

John: And we really appreciate, as Rebecca said, all of the wonderful guests that we’ve had since the beginning of this podcast, and we appreciate our audience too. So thank you for hanging in there with us.

Rebecca: Have a great 2024.

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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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324. Unmaking the Grade

A growing number of faculty have been experimenting with ungrading. In this episode, Emily Pitts Donahoe joins us to discuss her ungrading approach and the documentation of this process on her blog. Emily is the Associate Director of Instructional Support at the Center for Excellence in Teaching and Learning and Lecturer in the Department of Writing and Rhetoric at the University of Mississippi.

Show Notes

Transcript

John: A growing number of faculty have been experimenting with ungrading. In this episode, we discuss one instructor’s ungrading approach and her documentation of the 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.

[MUSIC]

Rebecca: Our guest today is Emily Pitts Donahoe. Emily is the Associate Director of Instructional Support at the Center for Excellence in Teaching and Learning and Lecturer in the Department of Writing and Rhetoric at the University of Mississippi. She experimented with ungrading and chronicled her experiences in her Unmaking the Grade blog. Welcome, Emily.

Emily: Thanks. I’m really excited to be here.

John: We’re very pleased to be talking to you. We talked recently at the POD conference, and I’m looking forward to this additional conversation.

Emily: Yes, where I got this lovely tea for teaching mug from John, which I’m so excited about and drinking from right now.

John: And since this is only audio, Emily was holding the mug [LAUGHTER]…

Emily: I’m showing it off.

John: So our teas today are:… Emily, are you drinking tea in that mug?

Emily: I am. [LAUGHTER] I am drinking tea out of my tea for teaching mug. I’m a big tea drinker. And so today I’m drinking my favorite tea, which is a strong black tea called Scottish morn. And I got this tea from a tea shop called Apothica in Niles, Michigan, which I used to go to when I lived in South Bend, so highly recommended if you’re in that area.

Rebecca: Sounds wonderful. I was ready for you to say that you had coffee or something in the tea for teaching mug so it’d be completely blasphemous… [LAUGHTER]

Emily: Never.

Rebecca: …because coffee is one of the most frequent flavors. [LAUGHTER] Emily, you’re doing it right. [LAUGHTER] I have blue sapphire tea today.

John: And I have Irish Breakfast tea today.

Rebecca: So, we invited you here today, Emily, to discuss your experiences with ungrading. Your blog is based on your spring 2023 course experiences but your ungrading experience predates this course. Can you tell us a little bit about your initial experience with ungrading?

Emily: Sure. So I have a background in Writing and Rhetoric and English literature, and so a lot of what we do in Writing and Rhetoric, I think, is already pretty aligned with some ungrading goals and practices. So in my courses, students have always had the opportunity to revise their work based on feedback, and include it in a final portfolio, and most of their grade is based on their revised work. So it’s not just that they get graded and then that’s the end of it, they always have a chance to improve based on feedback. The first time that I stopped putting letter grades and percentages on student work was in spring of 2022, when I was teaching a general education literature course at Notre Dame, and so the course was on pre-modern and early modern literature, but with a focus on how the texts that we were studying might help us examine or wrangle with some of the questions that we’re preoccupied with as a culture and society today, and thinking about how those texts might relate to student lives. So it was a course for kind of all levels and all majors, which I think made it a good course to experiment with. So I had first-year students all the way up through senior-level students from engineering and business and English and psychology and all kinds of different majors. So like all teaching experiments, I think there were definitely some kinks to work out after that first course; they never go exactly right the first time. [LAUGHTER] But I would say that, overall, it was a huge success. And that’s not because I did it perfectly, or even because I did it particularly well, but because I think ungrading really helped some of my students move beyond this idea of the school as a points game, to help find their interest and their motivations to study the material that we were studying for their own purposes, and to focus on developing the skills and knowledge that they wanted to develop rather than on attaining a specific grade.

John: And the second time you did this, you created a blog describing the process. What prompted you to create the blog?

Emily: So, I was inspired by a post written by Robert Talbert, who’s the co-author of a recent book, Grading for Growth, which I really highly recommend on alternative grading, and he and David Clark, his co author, also had a blog and substack newsletter on Grading for Growth. And so in December of 2022, Robert posted a stop, start, continue for the ungrading community. And if you’re not familiar with stop, start, continue, it’s an evaluation exercise used for mid-semester reflection, very often in classrooms where the instructor or another facilitator will ask students: “What kinds of teaching practices or classroom practices would you like to stop, start, or continue in the class?” And so Robert’s post was a stop, start, continue for the ungrading community. And one of the things that he recommended that the ungrading community start doing was getting into the weeds and writing in detail about the daily experiences and specifics of upgrading, so: what we’re doing, what kind of successes we’re having, what challenges we’re encountering, how we’re adjusting in real time, and he recommended keeping this as the kind of blog or like a captain’s log of weekly reflections. So when I read his post, I thought, “Well, I could do that. It didn’t sound that hard, and it sounded like a lot of fun.” So that was what prompted me to start writing weekly reflections to share some of the methods that I was using, successes and challenges that I had, and even some of my doubts or misgivings about some of the things that I was doing in the class.

John: And just as an aside, we were so impressed by Grading for Growth, that we’ll be using it in the spring reading group here, both at SUNY Oswego and at Plattsburgh with Jessmyn Neuhaus. So we’re very much looking forward to that. And Robert and David will be giving a keynote address at the start of our workshop series in just a few weeks in early January. So we’re very interested in doing more of this on our campus as well.

Rebecca: Can you talk a little bit about your decision to delay posting the blog until after the semester ended?

Emily: Sure. So the selfish reason is that it’s supposed to be an unfiltered look at the ungraded classroom. And part of me thought, what if I messed this up so badly that I’ll be embarrassed to talk about it. So it was partly that, but I would say the more important reason is that I thought it might be weird for students if I was talking in public about what was happening in the classroom in real time. And I was concerned that it would damage the relationship of trust that I wanted to build with my students if they knew that I was reporting on our conversations to a larger audience about the class. So I offered to hold things for that reason. But the other thing that I wanted to do was make it clear to students that I was writing these reflections that might later be published, and then to get their input on them. So some of what I shared on the blog, I didn’t really want to share without getting students consent to do that. But I also wanted to get their input on some of the things that I was talking about. So I believe really strongly in taking a students as partners approach to higher education and learning experiences. And I try to employ that in my educational development work in the classroom. So that means bringing students into conversations about teaching and learning and asking for their experiences and their expertise as students really and then using that to inform our practice. So delaying the posting allowed me also to get some input from students and to be able to share some of their thoughts and opinions on the blog whenever I could.

John: In reading through your blog, your spring 2023 class seemed really interesting. Could you describe that for our listeners?

Emily: Yeah. So this is the second course in our sequence of first-year writing courses here at the University of Mississippi, but it’s a little bit different. So for the second course in the sequence, students have the opportunity to take either Writing 102 or Liberal Arts 102, and I was teaching Liberal Arts 102. And so the goals of each course are really the same. But Liberal 102, as we call it, is conducted within the context of a research area in a specific discipline. So that means that it can have a very specific theme. So some of my really excellent colleagues in the department and in other departments have taught courses like writing about true crime, or the rhetoric of sports, or I believe there’s a course on fashion. So because one of my areas of expertise is teaching and learning, the course that I taught was called Examining Higher Ed Teaching and Learning in a College Classroom. And so I think this is a great course for first-year students as they’re entering this next phase of their education to reflect on where they’ve been and where they want to go. And so what we did was looked at questions like: What’s the purpose of a college education? Why are we all here? What kind of benefits does it provide to individuals or to society? What kind of collective benefits does it provide? And then how are those benefits enacted or engendered in the classroom. And so we explored a lot of debates around higher ed in the US and students have an opportunity to reflect on and draw on their own experiences as students and their expertise as students, and then integrate that with larger areas of research on education or current events in education. And then they communicated their ideas about education to audiences outside of our classroom. And so it was really, I think, an ideal course for ungrading because we could talk about grades, not only as a matter of course policy, but also as a core subject matter. So in the beginning of the semester, we read Alfie Kohn’s piece “The Case Against Grades” and talked about it both as a way to introduce the course grading system and as a kind of larger prompt for reflection about grades as an issue of concern in higher education right now.

John: And it sounds like a great opportunity to have students reflect on what you’re doing as you’re doing it. How did students respond to this?

Emily: So I think every time I’ve ungraded a class now, and I’m currently on my third ungraded class, students have responded a little bit differently every time and of course, every individual student is also different. I think there are three broad categories of response that I see. One is just enthusiasm; some students are really excited about ungrading, and usually that’s students who feel that, for one reason or another, their grades in the past haven’t been representative of their learning or who feel that some of their creativity or their risk taking has been stifled by their desire to get a good grade. So I wouldn’t say this is a lot of students, this is probably a smaller group of students, but some students are really excited about it. I would say another group of students are really hesitant because ungrading is a big unknown for them, especially for students who are dead set on getting that “A” grade. It can be really nerve racking not to know kind of where you’re at in the middle of the semester. When I get negative feedback on ungrading, it’s almost always students who say,”This is really interesting, but I never know where I’m at.” And so they’re really concerned about how they’re going to measure their progress. But they’re not thinking about their progress in learning, they’re thinking about their progress toward a specific grade, which is really understandable because grades are important. And so that’s also a smaller group of students. But I would say, by far, the biggest reaction I get from students is something like cautious optimism. So I always start ungraded courses with a conversation about grades and learning, and I ask students to share with me their experiences of grades and share with each other. And very often, they have a lot of negative experiences to share, and sometimes positive experiences as well. But we talk about the relationship between grades and motivation and grades and learning and they have a chance to reflect on that. And so I use these conversations as a jumping off point to explain why I use the system that I do and how I think it will benefit them as learners. And I think students find it really helpful to be able to talk about their experiences with grading openly and to be heard by a teacher. And I think that that alone makes them more willing to buy into the system. So once it’s explained fully, and once students start to see the potential benefits, I would say that most of them are cautiously optimistic.

Rebecca: I think that largely aligns with my experiences and explorations when ungrading as well. In your class, you included five different assessments and opportunities for revision. Can you talk about and describe these assessments?

Emily: Sure. So the first thing that students had the opportunity to do were weekly writing practice assignments. So these are what you might think of as formative assessments, they’re preparation for class discussion and major assignments that mostly involve reading or short writing prompts. And these students weren’t able to revise, they either kind of did it or they didn’t. But then students had an opportunity to do more longer major assignments, which are more typical assessments for the writing class, a series of papers and a multimodal kind of project or two, with an imagined audience kind of outside our classroom. And so these students could revise up to three times if they wanted to do that. And so I had to, for this class, adjust a little bit and do slightly fewer assignments than I might have done in a traditionally graded class, because the expectation is that students would be doing more intense work on each assignment in their revision. I also asked students to do self assessments periodically throughout the semester. So students would answer a series of questions about their progress toward the learning goals, about their goals for the remainder of the semester. And they would also propose a current grade for themselves based on evidence that they provided. And this is a similar activity to what we did at the end of the semester to determine their course grades. They were also assessed on their final portfolio, which had revised versions of their major assignments. So their work… basically as good as they could make it… their best version of their major assignments, plus another final self assessment of their work in the class. And then they were also assessed on class engagement, so their class attendance, their preparation for and participation in class discussion, the timeliness of their work, their support for the learning community and fellow students and things like that.

Rebecca: Can you talk a little bit about how you provided your feedback on those assessments?

Emily: Sure. So for the writing practice assignments, usually I just wrote a sentence or two in response to students work to let them know if they were on the right track, or they may be needed to adjust slightly as they prepare for their major assignments. For the major assignments, I did do a lot of longer written feedback, and a lot of this looked like feedback that I would give in a traditionally graded class. But I think it was a little bit more oriented toward future growth, rather than reflecting on past work. It was giving them a lot of direction on how they might want to revise to make their work better in the future, not just for future papers, but for this particular paper. And with that feedback, I also gave them a rubric, where I marked kind of where I thought they were at along the specific assessment categories and criteria that we were using for that assignment. So for example, we might have a category for audience and purpose. Students could see whether I think their work on that category was still developing, whether it was at the level of proficient or whether it reached the level of excellent, so I had these different categories and these different kind of progress metrics, where I would indicate this is a skill that I think you’re still working on, or this is a skill that you’re doing really well in. And I also provided feedback to students through our individual conferences. So we met once at midterm, I met with each individual student, and then once at the end of the semester, to have a face-to-face conversation about how students were doing and if they needed to make any adjustments to reach their goals for the rest of the semester. And I didn’t give any feedback through letter grades or points. Those are not really great forms of feedback. They don’t actually give us a lot of information about our progress. So most of the feedback that I provided was kind of qualitative feedback.

Rebecca: You just talked a little bit about rubrics as part of a feedback that we were providing students, can you talk a little bit about how those rubrics were developed?

Emily: Yeah, so I’ve tried several different methods of creating rubrics. And one of the things that I like to do is co-create them with students or get students input on rubrics. And I attempted to co-create rubrics with students in two different classes and have done it a few times. And sometimes it’s a huge success, and sometimes it really does not work very well at all. And in my spring class, it didn’t work very well at all. [LAUGHTER] So basically, what I’ve done previously is ask students what they think makes a good argument or a good piece of public writing, or whatever it is that we’re working on. Or I ask them what kinds of things they believe their writing should be assessed on, and how we would determine whether or not their writing is successful. And then we have a conversation about that. I make notes on the board as we’re talking. And then I go away and distill those notes down into a rubric with about five categories in which student work is assessed. And then there’s the three metrics, so developing, proficient, and excellent. And sometimes this works really well. But in my spring class, I think the students were really at a loss when I asked them about assessment, and even when I asked them what good writing looks like. And I think that’s because that no one has ever asked them to think about that before. They’re used to being told what their work should look like by someone else, and then trying to conform their work to those expectations, or to someone else’s standards. And obviously, we need to have standards and expectations for student work. But one of the things that that does is get the students only thinking about what the teacher wants and not what they want. They’re not thinking about what they want their work to look like, or what their standards are or what they’re trying to accomplish. And so I think, ultimately, if we’re preparing students for the real world, whatever that is, this is what we want them to be able to do, not just to blindly follow somebody else’s standards, but to create and work independently in a self motivated way, and then assess their work independently. So I think we have to kind of start with baby steps in that process. So in the spring course, the rubric activity really turned into a conversation about how students have been assessed in the past and why they’ve been assessed that way. So when I ask them about their experiences, how their writing had been assessed, they would say things like, we were graded on the word count, or we were graded on whether or not we included two sources in every paragraph. And then we use that as a jumping off point to talk about the principle behind those what they viewed as arbitrary rules. And so if your teacher is concerned about word count, it’s because they want you to make a substantive argument. And what does a substantive argument look like? If your teacher is concerned about including sources, it’s because they want you to make an argument based on strong evidence. And so what would strong evidence look like? And so we use that conversation to think about the assessment criteria for their college level work, and how that might be similar or different from what they experienced in the past. So in that way, I do think that conversation was helpful. And I do think based on my few experiences, that it helps to have students extrapolate criteria from some examples, rather than from thin air, kind of as I was asking them to do, but either way, having a transparent conversation about what students are being assessed on and why and a purpose behind the criteria is key to their success.

John: In one of your blog posts, you describe some of the writing assignments that you used in your class, and they seem quite interesting. Could you describe some of the writing prompts that you gave to students?

Emily: Yes, I was really excited about some of the assignments that I developed for this class. And I think I’m going to keep using them or versions of them in future classes. So for this class, I had a menu of assignment options. So the students could, for each major assignment, choose the kinds of projects that they found most compelling, or they would really draw on your strengths. And I thought this was important, partially because we were working some with generative AI in the class. And I’m sure everyone is aware by now some very serious data privacy concerns, ethical concerns around the use of generative AI. So I didn’t want to mandate that students work with AI if they didn’t want to, and some really didn’t want to. So I tried to offer them several options. And I was really happy about some of the options that I came up with. So obviously, one of the things that I was thinking about going into this semester was how to deal with generative AI and I have a lot of thoughts about that. But one big way to think about how to discourage inappropriate use of AI or encourage appropriate use of it is to think really carefully about assignment design. So one of the things that I did to help students navigate AI was lean into some multimodal work, think about argumentation in media other than writing or that kind of worked alongside writing. So we didn’t abandon writing entirely, but I did include a photo essay as one possible assignment in a menu of options. And for this course, I asked students to take a look at a book of photographs by Cassandra Horii and Martin Springborg that’s called What Teaching Looks Like. It’s a really, really cool book with candid photos of college teaching. And so we use this book to talk about visual rhetoric and also to use the photos as a launchpad for this discussion about college teaching practices and students’ experiences in the classroom. And so the assignment that students did based on their work with this book was to create their own photo essay called “What Learning Looks Like.” So instead of what teaching looks like, what learning looks like, with a specific audience and purpose in mind. So that was one of the assignments that I liked. Another one that I thought was really promising was something called “share your story,” which asks students to tell a personal narrative about their educational experience, and then connect that to a larger issue of concern or a body of research in higher education. So of course, this is not totally AI proof. ChatGPT can make up a story, but it can’t tell my students’ own stories. And I think most of us really like to tell our stories to other people. So I think that provided a little more motivation for students to do their own work. And then the last assignment that I really liked was an assignment that actually asked students to work with ChatGPT. So they created a prompt based on a template that I provided for an argumentative piece that they then fed to ChatGPT, so they gave ChatGBT the prompt. And then they took the ChatGPT output and critiqued it. So they annotated it, noting what pieces they thought were strong, whether or not the piece had weaknesses, and what those weaknesses were, where it might need revision or overhaul. And then they had to totally rewrite the piece that ChatGPT produced and make it their own. So they had to do a substantial revision. And then they had to annotate their own work and tell me why they made the revision decisions that they did. And so I want to clarify that I do think it’s important that students learn to generate first drafts on their own, because drafting is an essential part of the writing process, and it’s where a lot of the thinking happens. But I like this assignment as just one assignment in the sequence, because it does help students learn about generative AI and develop some AI literacy. And it also helps students get over that terror of the blank page. So a lot of students procrastinate because they don’t know how to get started. They’ll open their laptop to begin a paper and stare at the blank screen. And I find it really difficult to get over that first hump of starting work, and just close their laptop and go away and try it again later, usually the night before it’s due. So I think starting in this way, with a ChatGPT prompt and an essay gives them a jumping off point, and it’s an easy way to help them start building the confidence they need to do their own first draft.

John: We should mention that we did talk to the authors of What Teaching Looks Like, and we’ll include a link to that discussion in the show notes. One of the things you described in your blog is that having this ungraded environment encourages students to be perhaps a little more open and honest with their instructors, but that could lead to some challenges in terms of additional emotional labor. Could you describe the challenges that you faced in this class with that?

Emily: I think one of the big themes in the spring class in particular was that I asked students to share with the class and for audiences beyond the class about their previous experiences in school, or their current experiences, and I think this also happens in a lot of ungraded classes. One common method of introducing an unfamiliar grading system is getting students to think about their previous experiences with grades. And so one thing that happened in this particular class is that students’ related a lot of past educational trauma to me, and usually that involves bad experiences with previous teachers. And I’m really glad that they were able to speak honestly about that sort of thing. And I think it helped them to have a teacher take them seriously when they related those stories. At the same time, it was pretty difficult to navigate those conversations, because I was managing their emotions, my emotions, and also doing that when sometimes I only knew one side of the story. And so that was a little bit difficult. Another thing is that students in this class didn’t seem to feel that their grade depended on telling me what I wanted to hear. So I think they were a lot more honest about their views than in other courses that I’ve taught. So in my traditionally graded classes, or I think, in any class where students are discussing hot button issues, they tend to think that they’ll be graded more harshly if they express views that the instructor disagrees with. So very often, I think, they try to say what they think you want to hear rather than what they really think. And that didn’t seem to happen as much in my spring course. I had several students endorse viewpoints that I definitely disagreed with whether they knew that or not. And I think that’s good, because students have to sort through their own views and values. But it also required me to do a lot of thinking about how I would approach and address students not just whose views I disagreed with, but whose expression of those views might be damaging to others or to themselves. And so, we need to do some work around community building and relationship building in the class. And then of course, when you build relationships with trust with students, they’re more likely to tell you about the personal problems that they’re facing, whether that’s their mental or physical health or their personal relationships or family emergencies or grieving. And it’s really just a lot. And I do sometimes lay awake at night worried about my students. And there’s a lot of care work happens, I think, in all classes and also especially ungraded classes. And so there’s a lot of work in referring students to other resources and helping them navigate campus resources, and also just a lot of kind of management of your own emotional state [LAUGHTER] that has to happen. So I did want to be honest on the blog about some of the emotional toll of the work of teaching in general and of ungrading too.

Rebecca: You’ve described the care work, you’ve described individual conferences with students, you’ve described students’ anxiety over not knowing where they are sometimes and allowing substantial revision. Can you talk a little bit about how all of those things play into workload and how you’ve managed things?

Emily: Yes, this is a good question. And I feel like I have a very complicated answer to whether or not ungrading has increased my workload, because I get asked this question a lot. In my traditionally graded classes, giving all that feedback felt like a waste of time for a few reasons. First, because I had the sense that students weren’t really reading the feedback. So we know from research that when students receive a letter grade and also feedback on their work, they tend to see the grade and then ignore the feedback, or at least receive the feedback as a justification for a grade, rather than something that’s going to help them improve their work in the future. So I also spend a lot of time in traditionally graded classes worrying about how students would receive my feedback if they got a low grade on their paper. So how could I write feedback that would be appropriately honest, but also appropriately encouraging, so that students didn’t just see a C-minus or a D on their paper, and then give up and throw it in the trash. So I don’t really worry about those things since I’ve adopted ungrading. I provide feedback honestly, and with the mindset of a coach rather than a judge. And I provide it with at least some confidence that students will read it and use it. So they have plenty of opportunity to revise. And in fact, their ultimate achievement of the course is measured by their growth in specific areas and their demonstration of learning that arises from taking a piece of writing from not so good to much better. And so the expectation is that what they turn in the first time is not their best work and they’ll only get to their best work after they incorporate feedback. So I do spend a lot of time responding to student work now that I’m ungrading. But the process is more efficient because it accomplishes my goals rather than wasting my time. And it’s more enjoyable, because it causes me less angst. So I guess it is more work to provide feedback, but it’s also more efficient and enjoyable work. I think I feel kind of the same way about individual conferences with students, that it does take quite a bit of time to do those and it would be, I want to acknowledge, so much more difficult, it may be impossible to do if I was teaching more classes and more students. I’m very lucky that I teach small class sizes. And because I work in educational developments and work in a teaching center for most of the time, I only teach one course at a time. So I think there are ways to do this with larger courses, but I’m very fortunate in my course to be able to conference individually with each student twice in the semester. And those conferences are incredibly time consuming, and they can be really draining, but they are also really joyful. And I think it’s really important that students are able to have those one-on-one conversations with me. And they are much more, I think, effective in accomplishing a lot of the goals that I have for student learning than just simply doing written feedback or peer review or things like that. Having that face-to-face time to give students some individual attention is a really both enjoyable and effective part of the learning process.

John: A question that often comes up from people who have not tried ungrading is how well do students’ perceptions of their learning align with your perceptions of the learning when you do have to assign those midterm or final grades in the class?

Emily: Yeah, this is a really good question. And I would say I’ve had to do a little bit of work on my process to make sure that our expectations are aligning well. Sometimes, there are cases where students don’t automatically start off knowing what I expect from their work and what good work looks like, even when I thought that I was clear about that. So that is an issue that I’m working on. I would say for the majority of students, they do understand what good work looks like. And when they’re asked to provide evidence for their course grade, most of the time they know what good evidence looks like and are able to demonstrate to me in really, sometimes ways that I hadn’t anticipated, that they really had learned in the class and progressed and improved their work. For those students who struggle, and I think it’s more frequent for first-year students to struggle with this than more advanced students, for students who do struggle, I think it is important to be able to show them models of student work early in the semester so that they can get a sense of what a successful assignment looks like or what’s kind of level of expectations we have for what student work counts as really excellent work. So that’s been really helpful. And I’ve also made some changes to my class this semester to help clarify for students a little bit what kind of evidence might be good evidence for specific grade proposals in the course. So if they are really shooting for an A or B in the course, what kinds of actions or behaviors or demonstrations of quality work do they need to be able to show in order to attain that grade?

Rebecca: I know one of the things that I struggled with in some of the classes where I’ve done ungrading is that sometimes the midterm conference feels like it comes too late. So I experimented, I think once with like a one-third, two-thirds, three thirds approach, but then that was so much more conferencing.

Emily: Yeah.

Rebecca: So I’m curious about your timing and how the midterm time works in the classes that you’ve been teaching.

Emily: Yeah, I think that’s where the self-assessment assignments come in. So I do think midterm is quite late for students to be getting the first level of feedback. And so I have students do a self-assessment form, I guess, a quarter way into the semester. So we start that process really early of having them look back at the work that they’ve done, and propose a grade for themselves based on that work. And when they do those self assessments, I don’t conference with students every time they do a self assessment, but I do look at where their grade proposals are. And I’m able to say if our expectations are very, very different, or assessments of that students work is very, very different, I’m able to reach out and say, “Hey, I don’t think we’re aligned here, and here’s why.” And being able to intervene early on that I think is really important.

John: We’re recording this near the end of the fall semester of 2023. And you’re currently teaching another ungraded class, could you tell us a little bit about what types of changes you made from the spring class to the fall class?

Emily: Sure, there are a few changes that I’ve made, because there were some things that I think did not go very well in the spring and I wanted to try to improve that. So what didn’t go well was that I had a real problem with attendance, there were quite a few students who struggled with their attendance, especially in the latter half of the semester, and quite a few students who struggled to submit their work on time kind of throughout the semester. And that made it difficult for me, but I think more importantly, it made it really difficult for the students who once they missed an assignment, they found it really difficult to get back on track. So my challenge is really to figure out how to motivate students to attend class regularly and submit work on time without penalizing them for absences or late work or without a kind of point system to encourage them to show up to class and to submit their work on time. So that was one thing I wanted to address. And then the other thing is that students’ anxiety about not knowing where they stand in the midst of the semester at any given point. So what I developed to address all of those challenges was a course progress tracker. And so this is a document, a pretty comprehensive document, inspired by David Clark’s Grading for Growth post about grade trackers that I read during the summer while I was designing this course. And so the document is really a series of tracking worksheets in three different categories. So the first category is readings and assignments, students can see each week at a glance what work they have to complete, and then they can check off boxes as they complete that work, and then note, if there are assignments they’re submitting late, they can record those late submissions. There’s a category for attendance and engagement where students can check off the classes that they attend, and then make notes about their in or out of class engagement during each week of the semester. And then there’s a section… the most important section… for learning and growth where students can remind themselves of what the course goals are, and then track their progress along those goals, so they can see and make notes about where they’re still developing, where they’re doing excellent work, and how they’re improving their writing as the semester goes along. So, so far, it’s been going really well. And I’ve had fewer challenges with attendance and late work this semester than last semester, though, I can’t say to what extent that’s just a result of a different population of students or the fact that it’s fall instead of spring. So I will add that caveat, but I have surveyed students about their use of the progress tracker last week, and I’m really looking forward to diving into that next week. So the last thing that I think the progress tracker does, which I didn’t totally intend, but which has been really excellent, is that I think it helps students a lot with their self-assessment work, which they also struggled with, to some extent last semester, or I should say, maybe I struggled to teach really well. So I had a realization at the end of last semester, that when I sat down to think about a student’s work over the course of this semester, I was really thinking about three things. And so the first thing is quantity. How much work did students do? How much labor did they put in? How many assignments did they submit at a satisfactory level? How many class days did they attend? How much time did they spend on their major assignments? So that was one category. The second was quality. So how good was the work that they were doing according to the standards that we laid out? Was it still kind of developing work? Or was it excellent work? And then the third thing was growth. So how and how much did student work improve over the course of this semester? And can they demonstrate that they’ve gained knowledge and skills that they didn’t have before? Or can they demonstrate that they’re better off from having taken the course. And so while we’ve had conversations about those things in the spring, I never articulated to myself or to my students, that particular model; I never kind of said it in quite this way. So the last section of the progress tracker includes a guide to determining final letter grades for students. And it gives them space to think about quantity, quality and growth, and how that might contribute to the grade that they propose for themselves, if they’re interested in the specific letter grade. And it gives them a sense of what kinds of evidence they could provide if they want to show good evidence for a specific letter grade. So you can provide good evidence for an A if your work rises to the level of excellent on multiple assessment categories. Or if you attended class every time that you were able and submitted the vast majority of your writing practice assignments. So all of these things are good pieces of evidence if you want to propose an A grade for yourself. So there’s some flexibility there, I don’t prescribe exactly what students have to do for a specific grade, but I do make suggestions and say, here’s a guideline for you. If you’re confused about what kinds of work you need to be doing, or what you need to do to demonstrate that you’ve attained a certain letter grade, you can take a look at this guide, and learn a little bit more about what the expectations are. Currently, it’s just something for the students to use for themselves. I have provided time in class for students to fill out sections of it, because I think that if I did not ask them to do it in class, they might struggle to keep up with it outside of class. But I think maybe in the future, I will consider asking them to keep up with it. And then periodically checking in on those progress trackers throughout the semester so that I can intervene early, if there are any issues and maybe leave comments on the documents to let students know if I think they’re struggling in a specific area, or if they’re doing really well in a specific area. I am playing around with that idea for my next version of the class.

John: So we always end with the question: “What’s next?”

Emily: So this spring, I won’t be teaching an undergraduate course, but I will be working with graduate students who are preparing to teach their own Writing and Rhetoric courses. And I’m really looking forward to talking with them about teaching. And I’ll also be continuing to write about ungrading on the blog. So specifically, I’m hoping to share a bit more about what I learned from my experiences this semester. And I’ve been collecting data from my current students about their use of the progress tracker, about their use of AI in their writing this semester, and about their feelings and impressions of ungrading. And what I’m planning to do throughout the spring is share some of those student thoughts with the readers of the blog, and I’m really excited to be able to share students’ ideas about ungrading and other topics as well.

Rebecca: Sounds great. We’ll look forward to reading that for sure.

John: Thank you, Emily. It’s great talking to you and we look forward to future conversations.

Emily: Thanks, this has been fantastic.

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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.

Ganesh: Editing assistance by Ganesh.

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318. Reducing Equity Gaps

Gender and racial equity gaps exist in economics and other STEM fields. In this episode, Tisha Emerson joins us to discuss research on strategies to reduce these inequities. Tisha is the chair of the economics department and the James E. and Constance Paul Distinguished Professor at East Carolina University and is the incoming Chair of the American Economic Association’s Committee on Economic Education.

Show Notes

Transcript

John: Gender and racial equity gaps exist in economics and other STEM fields. In this episode, we discuss research on strategies to reduce these inequities.

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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 Tisha Emerson. Tisha is the chair of the economics department and the James E. and Constance Paul Distinguished Professor at East Carolina University and is the incoming Chair of the American Economic Association’s Committee on Economic Education. Welcome, Tisha.

Tisha: Thanks for having me. I’m so glad to be here.

John: I’m very happy to be talking to you. And our teas today are:… Tisha, are you drinking any tea?

Tisha: Yes, my favorite tea, I found a couple years ago, it’s a Golden Moon brand of Tippy Earl Grey.

Rebecca: That sounds nice.

Tisha: It’s delicious.

Rebecca:I have Harvest Memories today.

John: I don’t remember that one.

Rebecca: Well, it is from my little favorite tea shop in Canandaigua, New York, and it’s autumn flavors.

John: Autumn flavor?

Rebecca: Autumn flavors.

John: Do they have leaves dumped in there?

Rebecca: I mean, it almost looks like that. [LAUGHTER]

John: Ok. [LAUGHTER] Well, that’s one way of getting rid of all the leaves that have been falling. And I have English breakfast tea today. So we’ve invited you here today to talk about some of the research you’ve done, and also your new role and your past role with the AEA’s Committee on Economic Education. One of the things that we’ve observed is that there’s some significant equity gaps in economics and in STEM disciplines in general in terms of race and gender. And in one of the studies that you’ve done with this, in a 2023 paper in the Southern Economic Journal, you and KimMarie McGoldrick examined retake behavior for students who are not successful in their initial attempt at completing an introductory microeconomics class. Could you give us just a general overview of this study?

Tisha: First, let me say that this started a long time ago. And we got access to this great data, the MIDFIELD dataset, that was actually originally funded by the NSF to study the gap in engineering education, but it’s student transcript data. So we said, well, you could use that for economics too. And we have. And so this particular study looked at almost 180,000 students who take Principles of Microeconomics for the first time. And what we ultimately wanted to do is to think about the likelihood of success, and actually more so, failure, because a lot of papers already look at success and they stop there, because you have too small of a sample, fortunately, of the failures to continue on to look at them. But when you start with 180,000, you have enough to continue. So we find, as many others do, that, of course, aptitude matters, but that, unfortunately, females tend to be much more likely to be unsuccessful in their Principles of Microeconomics class, as are underrepresented minorities, or URM. And then we follow those students and we say, okay, so if you were, in fact, unsuccessful, and we define that as a grade of a D or an F, so grades that wouldn’t really let you continue in your study of economics, or you withdraw. And we say, if you’re in that category, what do students tend to do?… or first of all, for those students that are unsuccessful, what helps predict that? So given that you are in the unsuccessful category, what is more likely to cause that? And we saw that students who were carrying more concurrent credit hours were more likely to withdraw. Which makes sense, because if you have constraints that lead you to want to be full time, if you start with 12 hours, and the course is not going well… any of them… and you were to drop, then you would not be full time anymore. And so it gives them sort of this flexibility, they have more concurrent credit hours. But we found that students who got D or Fs, given that they were unsuccessful, they tended to have taken more related courses. So things like accounting (financial accounting in particular), calculus, and macro principles. And so we didn’t actually see a lot of gender or racial differences there. But then those students who were unsuccessful (D, F, or W), on retake decisions, we found that women were much less likely to retake if they were unsuccessful. But we did find that women who were of higher aptitude, who were unsuccessful initially, they were more likely to retake. So that was a positive. And we did find that underrepresented minorities were more likely to retake the course, but then more likely to be unsuccessful again, on their second attempt. So there’s some good news, but also, a lot of not so good news.

John: So you were able to follow students over time, how long a time period was there in the data set that you were analyzing?

Tisha: We had over 20 year period of data, but that doesn’t mean we followed any particular student for that length of time. Once we saw that they were unsuccessful, we made sure that they had at least one more semester at the institution so they did in fact have a chance to choose to retake the course or not and then we gave them three years post their initial unsuccessful attempt. And if they didn’t retake it in that period, then we said they chose not to retake.

Rebecca: In a 2019 study in the Journal of Economic Education, you and KimMarie McGoldrick use the same dataset to examine the decision to switch into an out of the economic major. In this study, you find that very few students selected economics as a major when entering college and that 83% of economics majors actually selected the major after taking their first economics course. What did you find in terms of the gender and racial composition of those that selected the economic major?

Tisha: So what we found was that, for the few students who started out as economics majors, so going into their principles class they already had said they were majoring in economics, we found that females were as likely to persist or not. That’s good. And we found something similar for underrepresented minorities, that is the females and URM students who went into the principles class planning to major in economics, they were as likely to persist as not.

John: What happened to those students who were not majoring in economics.

Tisha: Well, unfortunately, females were not as likely to persist and decide to major in economics. There was a larger proportion of females who opted to remain in their original major. So, they come into the principles class, they have some major other than economics, they were much more likely to stay in their other major and not switch to economics. Men were considerably more likely to switch, on average, than females were. But on a more positive note, we did find that students from traditionally underrepresented racial and ethnic minorities and Asian students were more likely to switch to economics.

John: And one thing we should note, and you mentioned this in your study, is that because this datset was focused on engineering, the schools in this sample have relatively large engineering programs and some students switched to economics because economics was perceived as being easier than their original major. So some of this may not apply as broadly to liberal arts institutions that do not have engineering programs.

Tisha: That’s possibly true. And in fact, business majors were even more likely to switch to econ. So it was about 10% of those switching in were switching from engineering and 27% were switching from business. So at the liberal arts schools, to the extent that they don’t have business or engineering, there wouldn’t be that source of majors coming in.

Rebecca: Both of these studies are really interesting. But, how do we think about some strategies to create a more inclusive environment in economics and STEM classes? So what did these studies tell us? What should we be doing?

Tisha: Well, I don’t know that they tell us what we should be doing. They tell us that what we’re doing is not really working.

Rebecca: Fair.

Tisha: …which is unfortunate, because that’s what we’ve been doing for a really long time and we’ve been really unsuccessful at attracting women and underrepresented minorities. So there’s a new sort of strain in the literature that’s really trying to address some of this. And there’s a study, for example, by Porter and Serra, and that was published in 2020. They did a randomized control trial at Southern Methodist University, where they, just by happenstance, picked a couple of very charismatic female alums and they randomly selected which principles classes they would speak to. And this was just like a 15- or 20-minute exposure, where they talked about majoring in economics, and how that helped them in their career. And they found that this significantly increased the number of women from those courses who decided to major in economics and additionally, not necessarily just major, but take more economics courses. And I thought it was really fascinating that there was no effect on men in those treated classes, it was just the women. So that suggests possibly that there’s some room for role models. Other work that looks at role models from other directions, like some of my own work with KimMarie and John Siegfried, didn’t find any evidence that supports the idea of role models. So I think, still mixed, and the exact sort of interaction that students may or may not have with these people I think is going to be important.

John: You’ve done a number of studies on these types of issues, and one of them was looking at the effect of classroom experiments. Could you talk a little bit about what types of classroom experiments have you looked at and what’s the impact of those on students?

Tisha: Sure, I talk about that a lot, because I really love the classroom experiments. I think that they’re a great pedagogical technique. And so since your audience is more general, maybe I’ll explain just what we mean by classroom experiments. And that’s basically the idea that we’re going, in some cases, simulate markets or other decision environments for the students that will mirror the types of environments that we’re talking about in class. So for example, if we’re talking about a market, then we will have students participate in an experiment where some are buyers and some are sellers and they negotiate and trade. In my classes, we always do the experiment first, I don’t talk about any of the concepts. And then we collect the data as we’re going through the experiment on the decisions that they’re making: prices, quantities that are traded, then I’m able to talk to the students about “Well, look, this is what actually happened, this is your actual data that you generated, and now let’s talk about the theory.” And this is what the theory would predict the outcome to be. And they can see how well they match up. And they are able to discuss in class, this is why I chose to behave in this way. And they see how it fits in to the economic theory. And I did a study back in 2001, which was published in ‘04 in the Southern Economic Journal, where we were looking just at the effect of experiments and we looked to see if there was a differential gender effect. And in fact, there was. So you often see that women underperform men in these principles classes. But what the experiment did is it closed that gender performance gap. So it raised sort of everybody’s performance, but it raised the females disproportionately, so that they were closer to the same outcome as the men if they were in a classroom with experiments. So I do think that there is definitely room through pedagogy to improve women’s outcomes, and make them more attracted to economics, but also make economics more attractive to them. There’s a large literature that suggests that women are much more grade sensitive than are men, various people have gone about showing this in different ways. And if you can bring up their performance so that it’s on par with men. And it’s not really even that comparison, but you’re bringing up the females’ performance, then they’re getting better grades, and they’re going to be less likely to want to leave the study of economics.

John: And we’ll throw in a reference to an earlier podcast we did with Peter Arcidiacono, who had looked at that very impact in STEM fields in terms of the decisions of people to move from one major to another. And in particular, in that study, they found that women did better on many of the tests but still left because the grades were relatively lower than in other classes. So one issue I think might be worth addressing is the issue of grade differentials, that if we’re going to continue to assign grades that are lower than most other departments, there’s a good chance we’re going to lose majors in general, but disproportionately more female majors, based on what the research literature tells us.

Tisha: There’s this really cool study, McEwan, Rogers, and Weerapana, 2021. They’re at Wellesley, and so it’s all females, but they were trying to address grade inflation. And what that meant was, of course, there are some disciplines that have higher grades, they had to bring their average grades down, and economics is treated in the opposite direction, and that it actually drew more students into these harder grading disciplines, like economics and the other STEM fields. And so yeah, that’s certainly an issue. I don’t think we’re gonna across the board be trying to treat grade inflation. I don’t think this is published yet. But I was reading another study out of Wellesley, where they were allowing students… I think it was maybe for their gen ed classes… to take them all pass fail. And again, you saw students flowing into these harder grading disciplines.

John: I know a number of schools during a pandemic made all of their first-year classes pass fail, which is a good way of letting students get into a discipline without worrying so much about the grades so they can explore things without worrying about the impact on their GPAs. That might be another useful strategy.

Tisha: Yes, I agree, and then this is really anecdotal, but I’ve heard other people observe the same thing, that women, they’ll be in your principles class, and they’re doing well, but maybe they’re going to get a B plus. And they say, “Oh, either I’m not gonna take another economics class,” or I’ve even had students withdraw at that point, and I’m like, “but you’re getting a B plus, I don’t understand,” but they’re so sensitive to grades. And then there will be male students who are getting a C, barely, and they’ll say, “I’m going to major in economics.” and I say, “Okay, are you sure?” It’s hard to understand sometimes.

Rebecca: It’s interesting to think about withdrawal policies that have really kind of loosened up due to COVID. So our institution changed the policy more recently so that students can withdraw through the last day of classes without documentation. And so students who are doing really poorly might take that option, but as you’re discussing students with higher grades withdrawing, that sounds really concerning that policies like that could be kind of counterintuitive, or really have some other negative impacts. Classes all cost money, [LAUGHTER] and there’s financial impacts to withdrawing.

Tisha: It’s hard to really predict how this is all going to play out. And I have to say, I’ve never heard of such a generous withdrawal policy. At my previous institution, I think they could withdraw up to sort of two weeks out and not even have a W necessarily on their transcript. So this all seems like a lot. There’s a lot of moving parts. But on the positive side, so let me just say, first of all, part of me feels like it’s a little bit too generous. But part of me also thinks back to the work that KimMarie and I did. And if you don’t have that D or F, that you have to overcome, it’s a lot easier to persist, not just in your major, but towards graduation, whether you switch majors or stay. And part of me feels like that’s helpful to the student. So in some ways, I like a generous withdrawal policy, I definitely want students to know what the withdrawal policy is, what the deadlines are, so that they can make a good decision.

John: Yeah, the only concern I have with the policy is that it can lead to students making slow progress towards a degree and they could run out of funding before they complete their degrees. But on the other hand, it does provide a bit of a safety net for students who are adjusting. And as our student body has become more diverse, and we have more first-gen students, and we have more students coming from schools that did not prepare people particularly well for a college environment, it provides a safety net, which has allowed students to take some chances early on and not be harmed. And I’ve seen some students struggle in their first year or so, drop classes, and come back and be very successful, when before they might have been deterred from further study in the discipline.

Tisha: I agree, I can see that.

Rebecca: So, definitely one of the things that I’m always thinking about when students are talking about withdrawing is making sure that they know all of the ramifications. So what does it do to your GPA? What does it look like on a transcript? What are the financial implications? …so they can make a well informed decision. And depending on who they’re talking to, they are not necessarily always getting all of the information, and that can be problematic, too.

Tisha: Yes. So I think that points us to the issue of how important advising is, so that there are well informed advisors and that students have access to them, not just at the end when it’s time to register for next semester, but they have a relationship with their advisor, and feel that they can go in and ask those questions, because as John said, a lot of those students can’t go to their parents, they’re first gen, their parents don’t have advice for them. And even if your parents went to college, they don’t necessarily know all of the rules and regulations of the institution that you’re at. It’s really hard, I think, for students to have all the information that’s necessary.

John: I’ve had trouble keeping up to all the changing information [LAUGHTER] over the last few years. In terms of those requirements. You’ve done some work with cooperative learning. Could you talk a little bit about that?

Tisha: Sure. So that really came out of the fact that I had done a lot of efficacy work around classroom experiments. And KimMarie and I are really good friends. She is a cooperative learning expert. So I should say that she is the expert on CL. And she wanted to do an efficacy study, so we decided to team up and do that. So what we did is unlike a lot of some of the other work in efficacy, is that a lot of the work is comparing lecture. So you don’t do anything to this active learning technique. And with cooperative learning, the students are working on exercises. And when we talked about it, we said you know, it’s really not fair, and not even interesting to compare a student who is in a lecture-based class where they don’t get to see any of these problems to students in a cooperative learning class that are working on these problems in class in teams. So we thought a lot about the collaborative learning approach. And we’re trying to isolate what we thought could be the mechanism that might be driving different outcomes. And what we decided was we were going to compare the active team-based learning to individual learning, working on problems. So in our control, the students were exposed to the same problems, they had the same amount of time in class to work the problems as in the treatment, which was the collaborative learning. It’s just that in the treatment, they were working in teams in this think-pair-share share framework, and we didn’t find a significant difference. So at the end, we said that the cooperative component didn’t seem to be driving any difference. Although there are other people who’ve done work comparing collaborative learning to lecture based and they did find significant positive effects from cooperative learning.

John: One type of thing that I’ve done that seems to have been fairly successful is using clicker questions. Following the methodology of Eric Mazur, students are given a challenging question where typically half or so them will get it right the first time when they’re asked individually. But then they get to talk it over with the people around them, preferably someone with a different answer, they get to debate and argue it and I normally see between a 10 and 20 percentage point increase in the correct answer. And the really absurd answers tend to disappear down to about nothing. So that’s not a very formal study, but that second stage of that process where students are engaged in some peer instruction seems to have had a pretty significant impact. And I point that out to students, that when they talk to each other about it and explain it to each other, they do much better than when they’re working on their own. And I encourage them to try doing that outside of class, to work with other students, because there are a variety of studies… I haven’t seen too many in economics, but there are quite a few studies that find that that type of peer instruction, either in the classroom or outside, can be fairly effective.

Tisha: Yeah, so I’ve observed that too. I haven’t used clicker questions, but just going in and observing my colleagues when they teach, and they are using clicker questions. And I have to say, I’m stunned, because I don’t know how the right answer bubbles up as opposed to the person who had the wrong answer convincing the other of the wrong answer. I don’t know how that doesn’t happen. It’s like magic to me, almost. So part of me wants to think a bit more about what is the mechanism and how is that working? That’d be really cool to do a study on that.

Rebecca: One of the things that’s always curious to me about that particular dynamic is sometimes students discover, as they try to explain something to someone else, [LAUGHTER] that they really don’t know what they’re talking about. [LAUGHTER] They realize, huh, I can’t actually explain this concept, so maybe I’m the one that’s not correct. [LAUGHTER]

Tisha: Maybe that is what’s happening. Because everyone always says, “You have to really know your stuff to teach it,” and so if you are trying to explain it to your partner, you do have to know the material.

John: And when they’re raising objections and you don’t have a counter argument, that can help break down your misconceptions, because getting rid of those incorrect perceptions can be as important as trying to build new ones.

Tisha: Yeah, I could see that and maybe the people who are initially giving the wrong answe are just guessing. So maybe they’re not trying to explain and convince their partner of their answer, I guess. I don’t know. So maybe it’s not magic.

Rebecca: [LAUGHTER] Feels like magic.

John: It does. And it works.

Tisha: When I see it happen, it does seem like magic. In general, I think that active learning is helpful, because I think that women are going to be more interested when you show them the applications, and that when you have active learning, there’s some community building that happens. So you’re illustrating relevance, you’re building this community, giving them a sense of belonging in the classroom, which is a lot of what I think actually happens with the experiments. And then actually also with the experiments, they’re kind of discovering some of the theory for themselves, which is a growth mindset. And there is research that shows that if you can show relevance, belonging, and growth mindset, and develop these in your classroom, that students are going to do better, but that it also is more appealing to females and underrepresented minorities.

Rebecca: There’s lots of things for all of us to think about, even if we’re not necessarily in economics classrooms. Definitely good food for thought. Switching gears a little bit. Can you tell us a little bit about your work on the Committee on Economic Education?

Tisha: So I’m not officially on it at the moment, I’m the incoming chair. But I have served on it in the past. And I’ve been shadowing KimMarie McGoldrick, who is the current chair for the last year. So the committee is doing a lot of really great work. I think. When I first served on the committee, we basically just organized sessions for the American Economic Association meetings. And when I say “just” I don’t mean “just…” Compared to now, it’s just but we have, I think, seven sessions that we organize for the meetings every January. But while I was first on the committee, then chair Mike Watts, who was at Purdue, he said,”I have an idea. We should have a conference, so an all economic education conference,” and we started it while he was chair, and it’s CTREE, so the Conference on Teaching and Research in Economic Education. So the committee is in charge of that. It’s every end of May, beginning of June, depending how the calendar falls. So our next CTREE will be in Atlanta, not that far. It’s on the East Coast, maybe you can join us. And it will be May 29 through the 31st of 2024. We have many other things that we also are overseeing: an educate program, which is professional development for college faculty, and that includes two-year college faculty, in course design, different active learning pedagogies, and we talk about how to bring diversity and inclusion into the classroom. KimMarie actually started this this year, we have a newsletter called EconEdNews. And that features different pedagogies, it features the winner of the AEA Distinguished Economic Educator Award, which the committee also oversees, and some centers that we have for Econ Ed across the country… just a lot of information that’s in there, we have two issues a year. So we’ve had our first two, and our next one will come out in March of ‘24. So just a lot of great work, I think, that the committee is doing and I think really thanks to Mike who started us with our own conference. And then Sam Allgood succeeded Mike and added and then KimMarie is an overachiever. And she added a lot more in her six years as the chair.

John: And going back earlier, early surveys of economic instruction suggested that economists were using much more chalk and talk than many other disciplines were using. So these efforts have been fairly important in shifting people away from that. It’s a somewhat overdue change, but it’s nice to see that happening. And I would love to go to CTREE. But there’s two barriers that I’ve run into one is we run a series of workshops here, right around the same time, and the other is I teach at Duke in the summers. So I either am doing workshops here, or I am in North Carolina teaching econometrics now down there, so I haven’t been able to get there. I would love to go to a CTREE meeting.

Rebecca: I think I would have no clue what’s going on if I went. [LAUGHTER]

John: Oh I think you would.

Tisha: I think you would, I think you’d have a nice time. Everyone there is just so lovely and very engaged in teaching, and just really cares about the enterprise.

Rebecca: It’s nice to see education groups out of these professional organizations to really formulate communities of practice around teaching.

Tisha: Yes, I agree. I think economics, unfortunately, was late to the game. But we’re increasingly appreciating the importance and the importance not just of focusing on four-year colleges, but two-year colleges. So going back to the point of diversity, and the lack thereof in the discipline, the students in four-year colleges that I’ve worked with have predominantly still been very much what economists already looked like. And if we really want to improve the diversity in economics, I think we need to reach down to the high schools to the two-year colleges, and make economics more interesting and accessible.

Rebecca: We always wrap up by asking: “What’s next?”

Tisha: There’s lots of things. I guess, with regard to the committee, I’m hoping to just kind of not start anything new in my first term, and keep everything running as well as KimMarie has it now. But then for my own research, I am really interested now in looking at comparing pedagogies. So it’s been a lot of efficacy work looking at a particular pedagogy compared to sort of the standard chalk and talk. But now, how do they compare to each other? Is there a better pedagogy for students? And my first study, and I have the data, so I just have to start working on it will compare experiments to cooperative learning. And I told KimMarie, if experiments lose, then she won’t hear any more about this. I won’t write it up. I won’t talk about it. Because I don’t want to say that experiments lose, but no, I mean, seriously, that’s the next thing that’s first on the agenda. But also, I have a deep interest in diversity questions. KimMarie and I with Scott Simkins have a paper looking at HBCUs compared to PWIs and the study of economics there. And that was inspired by some work that showed that HBCUs contributed disproportionately to the STEM pipeline. And since economics is part of STEM, we thought, “Well, that should be true for economics as well.” So we did some work in that area. And we show that there are some positive contributions from HBCUs to the economic pipeline. But I think there’s a lot more to do there. So I would like to dig down in that. I’ve heard a lot of people at HBCUs talk about secret sauce, and I want to learn what that is. And not just at HBCUs but look at MSIs as well, more generally. And I do want to look at some questions at two-year colleges, so that’s for the next five to 10 years…

Rebecca: You’re going to be busy. [LAUGHTER]

John: For those who aren’t familiar with the terms PWI are predominantly white institutions and MSI are minority serving institutions.

Tisha: That’s correct.

John: Those terms are becoming more and more common, but just to make sure all of our listeners are familiar. Okay, well, thank you. It’s great talking to you, and it’s nice meeting you. And we will keep trying to get KimMarie McGoldrick on the podcast. I’ve been asking her for about four years. She’s been a little resistant, but we’ll see if we can get her here in the future. Well, thank you.

Tisha: Thank you so much. I hope you have a good afternoon.

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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.

Ganesh: Editing assistance by Ganesh.

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