393. Culturally Responsive Teaching

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

Show Notes

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

 

Transcript

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

[MUSIC]

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

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

John: …and Rebecca Mushtare, a graphic designer…

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

[MUSIC]

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

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

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

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

Rebecca: Today I have London Strand, John.

John: Another newish one for you.

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

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

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

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

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

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

Courtney: Awesome.

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

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

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

Rebecca: Oh, that’s right.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

John: Well, thank you for joining us.

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

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

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

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392. Teacher by Teacher

During the past decade, public confidence in education has been declining. In this episode, SUNY Chancellor John B. King Jr. joins us to discuss his new book that provides a compelling narrative of the value of education in transforming lives.

Chancellor King  has a long history of involvement with education. After graduating from Harvard, he acquired a Master’s degree from Teacher’s College at Columbia University and taught high school social studies. He later co-founded Roxbury Preparatory Charter School and served as a co-Director for five years. Under his leadership, students in this school attained the highest scores of any urban middle school in the state and closed the racial achievement gap. After acquiring his doctoral degree from Columbia and a law degree from Yale, Dr. King served as New York State’s Education Commissioner from 2011 to 2014. He left NY for a while to work in the Obama administration as Deputy Secretary of Education from 2015 to 2016 and joined Obama’s Cabinet as Secretary of Education from 2016 to 2017. Following his work in the Obama Administration, Dr. King continued to advocate for increased educational equity and access as President and CEO of the Education Trust. He now serves as Chancellor of the State University of New York. We’re interviewing Dr. King in his role as the author of his new book and not in his role as the SUNY Chancellor.

Show Notes

Transcript

John: During the past decade, public confidence in education has been declining. In this episode, we discuss a new book that provides a compelling narrative of the value of education in transforming lives.

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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 the State University of New York Chancellor, John B. King Jr. He has a long history of involvement with education. After graduating from Harvard, Dr. King acquired a Master’s degree from Teacher’s College at Columbia University and taught high school social studies. He later co-founded Roxbury Preparatory Charter School and served as a co-Director for five years. Under his leadership, students in this school attained the highest scores of any urban middle school in the state and closed the racial achievement gap. After acquiring his doctoral degree from Columbia and a law degree from Yale, he served as New York State’s Education Commissioner from 2011 to 2014. Dr. King left NY for a while to work in the Obama administration as Deputy Secretary of Education from 2015 to 2016 and joined Obama’s Cabinet as Secretary of Education from 2016 to 2017. Following his work in the Obama Administration, Dr. King continued to advocate for increased educational equity and access as President and CEO of the Education Trust. He now serves as Chancellor of the State University of New York. We’re interviewing Dr. King in his role as the author of his new book and not in his role as the SUNY Chancellor. Welcome, Chancellor King.

Chancellor King: Thanks so much.

John: It’s great to talk to you again. Today’s teas are:… Chancellor King, are you drinking tea by any chance?

Chancellor King: No, I just have water today, unfortunately, I’m visiting SUNY Purchase, and I don’t have access to my usual supply of tea.

Rebecca: What a disappointment. [LAUGHTER]

Chancellor King: Sorry about that.

John: Next time.

Rebecca: John, I have constant comment today.

John: …which is appropriate for a podcaster, and I am drinking a pure peppermint tea today.

Rebecca: Always a good refresher at the end.

Chancellor King: I’m jealous. [LAUGHTER]

Rebecca: So we invited you here today to talk about your new book, Teacher by Teacher: The People who Change our Lives, which provides a powerful testimonial to the power of education to transform lives. In the introduction, you note that you are fortunate to have teachers and mentors who help guide you through critical turning points in your life. Can you talk about what led you to write this particular book?

Chancellor King: Sure, I’ve thought about it off and on over the years, and “you should write a book,” is the thing that people sometimes say to you, you know, but I hadn’t really committed to it until the Washington Post did a story about my family history, and that prompted a book agent to reach out to the journalist to ask if he wanted to do a book about our family history, and he was doing another book project and said, “No, I don’t really want to do it right now, but you should call John and see if he wants to do a book.” And that got me started on this journey, and I really saw it as an opportunity to talk about the role that teachers have played in my life, and to really take on this thing that we do in our culture, where if somebody has persevered through difficult circumstances, we make the story about them and not about the people who supported them. And I really wanted to shift that and say all the opportunities that I’ve had, the extraordinary opportunities I’ve had, all trace back to teachers who intervened at the right moment in my life. I was very, very lucky to have these amazing teachers, and I wanted to tell their story, and to tell the story of the many amazing teachers I’ve gotten to work with over my career.

John: And at a time when there’s so many public questions about the quality of education, I think this is extremely well timed. As your book illustrates, you’ve been involved with education all of your life, basically, and you note in your book that education helped to define your family and shape your family’s identity. Can you tell us a little bit about this?

Chancellor King: Sure. So on my mother’s side, my mother has a classic Nuyorican story. She was born in Ponce in Puerto Rico, came to New York City as a kid, maybe about five or so, with her brother and my grandmother, who was a single mom who decided to come to New York City to create opportunity for her kids. She went to work in a garment factory, and my mother learned English in the New York City public school, was the first in her family to go to college, went to Hunter in the CUNY system, and really got to live exactly the dream that my grandmother had, and because of my grandmother’s hard work and faith, I have the life that I have today. She made that investment, she made those sacrifices, so that my mother could go to college. My mother became a teacher and a guidance counselor, and it’s really an extraordinary story about what public higher education makes possible, what Hunter made possible in my mother’s life? My father grew up in a very segregated New York City just after the turn of the 20th century, the grandson of enslaved people, and he found a path through education, becoming a teacher and later the first black principal in Brooklyn and senior administrator in New York City Schools. And his life could have gone a lot of different directions, being born in 1908 in New York City, but school provided this path for him, and part of the reason he knew to take that path is that my grandmother, his mother, had been one of the first graduates of what is now the University of Maryland Eastern Shore, an HBCU on the eastern shore of Maryland, and she was very unique in being an African-American woman with a college degree in that early period. And that made her path possible, and that helped shape my father’s path, and so education has just been so central to my family’s whole story.

Rebecca: As I read your book, I really appreciated hearing your story, but also I think it reflects a lot of our students’ stories, and think it’s helpful to have these stories out there so that others can see themselves in the stories. One of the things that you talk about is your growing responsibility that you had to take on as your father slid into dementia. Can you talk a little bit about the role school played in your life during this period when you were taking over many of these adult roles, like paying bills, buying groceries at such a young age?

Chancellor King: So when I was little, my mom was really the main care provider in our home. My parents were very far apart in age. My father was 66 when I was born, my mother was 40, and my father was very distant, not very active with me. I don’t remember, for example, ever playing catch with my father. And so my mother was my anchor, and she passed away from a heart attack when I was eight, and there are no words to describe how devastating and painful that moment was. And then it was just me and my father, and he was distant then, but got more and more distant, and now I know it to have been Alzheimer’s, but at the time, I didn’t know why he was acting the way he was. But over the four years there was just the two of us, he got more and more erratic. Some nights he’d be sad, other nights angry, sometimes even violent, and I didn’t know why. I can remember one night, he woke me up two in the morning, told me it was time to go to school, and I was arguing with him, saying, “No, Dad, it’s not time to go to school.” And he was pulling me on the stairs. I was clinging to the banister, and I didn’t know why. Eventually he gave up and we both went back to sleep, but that was what home was like, just this incredibly unstable and scary place, but school was amazing. School was this place that was safe and consistent and nurturing. And I was very fortunate during that period to have Mr. Osterweil, who was my teacher in fourth, fifth, sixth grade, he looped with us, and then a number of teachers, but in particular Miss D, who was my seventh grade social studies teacher. And Mr. Osterweil and Ms D, really saved my life during that period. It gave me a sense of hope and purpose, and as my father got more and more sick, as you said, I had to figure out how to just keep our household going. Bills started to come, marked late, cancellation, those kinds of things, and I realized I needed to do something about that. So my father’s name is same as mine. John B. King, Sr. I’m John B. King, Jr. So I started signing checks and sending them in to try to make sure that the power stayed on. My father had stopped going to the store, but I knew where he had kept cash in the house for years, and so I snuck in and got some money there and started going to the store myself to get food in our house as a survival strategy, was just trying to figure out, like, how to keep things going with a deep sense of hopelessness about life at home, but school was the place where I could channel a sense of optimism.

John: And in this part of the book, you talk about some of the teachers that had that effect on you, of giving you that sense of optimism. And one of the things I thought of when we were reading this is that we had a reading group this semester on 10 to 25: The Science of Motivating Young People, by David Yeager, and one of the things he emphasizes is that a really effective way to motivate adolescents is to let them know that you have high expectations for them, that you believe that they’re capable of achieving those expectations, and to provide the support that they need while treating them with respect. Would it be fair to say that those teachers you mentioned, Mr. Osterweil and Miss D and some other teachers shared this approach to teaching?

Chancellor King: Oh, absolutely. When I think about Mr. Osterweil’s class, it was rigorous. We read The New York Times every day starting in the fourth grade. We learned the leader and capital of every country in the world. We did productions of A Midsummer Night’s Dream, Shakespeare, in elementary school, we did a production of Alice in Wonderland. I was the rose, a big red belt petal sticking out of my head. We went to the museum and the ballet and Mr. Osterweil was that kind of teacher who’s curious about you, you know, he’s curious about what you as an eight year old or a nine year old or a ten year old, what you think about the world. And he would have these very serious discussions with us, where he really was so interested in our take on things. And we talked about hard subjects. We were in the midst of the Cold War, he created this academically challenging, enriching, but also loving environment. You’d finish a book, he’d be there with the next, you’d finish a math problem, you’d have the next one that was a little bit harder. He was always pushing, but in a spirit of love and care, and he didn’t know what was going on for me at home. Maybe he had suspicions, but he didn’t know, but he knew to create an environment that was incredibly nurturing. And I’m still in touch with Mr. Osterweil. He’s just extraordinary human and Miss D was a different kind of teacher. She was my seventh grade social studies teacher. She was a former actress, or maybe she was still acting at the time, a huge personality, but again, sort of expected a lot of us. And at that point, my father was very sick, and I would often sit in class and worry about how he was doing, what was happening at home, how we’d be able to just keep going. But in Miss D’s class, I remember when we did a project where we had to do an Aztec newscast, and in that moment, the most important thing in the world to me was to be the best Aztec sportscaster there had ever been, and that was because of the environment she created. And so I think those points from Yeager are exactly right and are very consistent with findings about the research on retention, completion, some of the research even around how to combat stereotype threat, you know, it always comes back to that mix of high expectations and communicating the confidence that students can do it.

Rebecca: One of the things that you also talk about in your book is that you lived in Long Island with your brother after the death of your father, and then you applied and were accepted at Phillips Academy in Andover. Can you tell us a little bit about your experience there and how that affected your interest in racial and socioeconomic inequality?

Chancellor King: So when I went to live with my brother, I was 12, and he was 24. My dad had passed, and I was insistent that I wanted to go live with my brother, in part because when my dad was very sick, quite frequently, I would go spend a weekend with my brother, and it was super fun. We’d go to the movies, we’d go bowling, we’d eat out every meal. It was very exciting and fun. Turns out that it’s tough for a 24-year-old to raise a 12-year-old, and he was struggling himself with sort of who he was gonna be. And he drank a lot, and he partied a lot, and he was a little bit rudderless, and it was very unstable, and he had these different difficult relationships, and pretty quickly I realized living with him was not healthy. And so then I had to figure out what to do. And I had a friend from elementary school, from PS 276, who had gone to Groton with a scholarship through Prep for Prep or Oliver, one of those programs that helps kids from New York City go to New England boarding schools. And he was having a good experience. He told me about it, and I thought, “Okay, well, that’s what I’m going to do. I’m going to figure out how to get to one of these boarding schools.” So a cousin helped me with the application, and I ended up at Andover. And I could not have been more out of place. As context for folks, Andover is where George H.W. Bush went, where George W. Bush and Jeb Bush went. It is everything you imagi ne of a highly selective, very expensive, very fancy New England private school. And I was a kid from Brooklyn who hadn’t really had a stable home life since I was eight, and I just really struggled with the non-academic parts of campus life, and I really struggled with navigating the issues of race and class on campus, and it was just very clear that the campus wasn’t working very hard to create a sense of belonging for students of color like me and. And there were these multiple moments where I just felt so out of place and so conscious of the ways in which I was not… I don’t know if welcome is quite the right word… but not the priority for the institution. Students like me were not how the institution thought of itself. I describe in the book an argument in a history class with a teacher about the Rhodes Scholarship, and I was making a point about Cecil Rhodes and what he meant in the world, and the teacher was very dismissive of my argument, and it felt like this unwillingness on his part, to think about how race and history interconnect with our lives and our choices, and that was sort of emblematic of just the tension that I experienced there, and I got in a lot of trouble, I idn’t follow any of the rules, and I got kicked out. And I always say to people, “I’m the first US Secretary of Education to be kicked out of high school,” but it was not the right place for me at the time.

John: And you recovered from that, though, and you moved on to Harvard after graduating. And there you’ve described working on a number of projects in the Mission Hill community. Can you talk a little bit about some of your experiences there?

Chancellor King: Yeah, I was fortunate that after I got kicked out, I went to live with my aunty and uncle, and they really helped me get my life on track. But when I got to Harvard, I felt out of place a little bit, and also definitely imposter syndrome, like I had to write two essays for my college application, the regular essay, and “Why’d you get kicked out” essay that you have to write if you’ve been expelled from a school. And so I remember as a freshman just feeling like, is somebody gonna tap me on the shoulder and say, we made a mistake, that other essay fell under the table. We didn’t see it. You’re not supposed to be here. And so I was struggling a little bit. And when I first got there to find my place, and I went to like, a volunteer fair, and they were recruiting people to teach civics in local elementary and middle schools. And I was like, “Oh, that’ll be fun. That’ll be interesting,” because I cared about civics and government and politics. I was interested in that, and I liked the idea of community service. So I signed up to do it, and it changed my whole trajectory. I ended up teaching civics and then teaching conflict resolution in schools. I ended up running a summer camp in a public housing development in Boston, where we lived for the summer, as well as worked with the students and families. Then that turned into helping to run the after-school program, and I spent probably more of my time, frankly, in Boston than in Cambridge, doing public service work and engaging with the community. And that led me to really conclude I wanted to be an educator, because I so love doing for other kids what teachers had done for me.

Rebecca: So when you graduated Harvard, then you went to Columbia University Teachers College, you decided then to begin your first year of teaching in Puerto Rico. Can you talk about being a first-time teacher?

Chancellor King: Yeah, so it’s really hard. I always say to people that I’ve had a lot of hard, complicated jobs, but the hardest job I have ever had was first-year teaching, because you don’t have files to fall back on. You don’t have the lived experience to fall back on. You want to do a good job. Every day is just very stressful. You’re planning. It’s the first time you’re teaching each lesson, and you’re planning every night, you’re doing grading every night. And like it’s overwhelming. First-year teaching is very, very hard. I just have a special place in my heart for first-year teachers. And I was doing it in a context where I’d moved to Puerto Rico, I was teaching at a school that was a private school, largely serving the students who were children of the elite. And my theory of going to Puerto Rico was I was going to have this cultural experience. I was going to really get to know the island more. Obviously, I visited as a little kid, and I wanted to have that experience. I wanted to work on my Spanish. I underestimated how overwhelming first-year teaching would be and how all-consuming it would be. I also underestimated how difficult I would find it to teach in a school where there was so little focus on social consciousness for the students. There were certainly some students who were there on scholarship, but the vast majority of students were there because their parents had tremendous resources, and they were largely going to college in the United States when they graduated, the mainland United States, and they were being prepared to be the next generation of leaders, but without a sense of consciousness about the complicated colonial relationship between Puerto Rico and the United States, without a deep awareness of issues of race and class and how they play out in Puerto Rico, and there definitely are color line issues in Puerto Rico, but that was not discussed. And I really struggled with, as a social studies teacher who would bring into my class a lot of complicated issues of the history of slavery and abolitionist movement and the Civil War and Reconstruction and the dismantling of Reconstruction, the emergence of the KKK. You know, we were having these intense conversations about race and American history, but yet not really engaging around the issues just under the surface in life in Puerto Rico. So that was very difficult, alongside the frustrations of just navigating first-year teaching and an environment where there really wasn’t much support. I don’t recall anyone ever observing my class and giving me any feedback, and so that’s a challenge, I think, for a lot of first-year teachers, they don’t get the kind of induction support they should. And it’s true for higher ed too, frankly, right? That oftentimes higher ed faculty do not get the experience of a lot of feedback and support around pedagogy early in their career. So it was very hard, and I decided that I wanted to be in a school that had a clearer civic mission, and I wanted to reconnect with a community of friends that had stayed in Boston. And so I decided to leave Puerto Rico and teach in Boston.

John: And you mentioned that higher ed may face similar problems. I think the problem may be even worse in higher ed, because at least when you begin working in secondary ed, you’ve had some teacher training courses. People in higher ed, when they go to teach, have generally had little or no training, with the exception of a few graduate programs that provide it, and there is gradually some progress there, but I think we still have quite a ways to go in higher ed. You mentioned coming back to Boston, and one of your next roles was to work with Roxbury Prep. Could you talk a little bit about your work there and what made this institution so very successful?

Chancellor King: Yeah. So as a high school teacher, one of the things that I saw in Boston was that many of my students were coming so poorly prepared, just behind, kids coming into ninth grade with fifth grade reading skills, fifth grade math skills, and really struggling to get caught up enough to be in a position to have real choices about what to do after high school. So starting a middle school, I hoped to be able to build a stronger foundation for students. I also had been frustrated in the schools where I’d worked as a teacher about the lack of support around teaching and learning, and so I really wanted to create a school that centered excellence in teaching and learning. So, Roxbury Prep, we did a few things that I think were really important structurally: we had three and a half weeks of teacher professional development before the school year would even begin, time for folks to plan to look at student work. Now there’s tradeoffs: less summer for everybody, but we built into the fabric of the school this idea that you would work very diligently as a community of teachers on the art and science of teaching, and that was very helpful. We had a longer school day that made a huge difference for our students, just more time for students who were coming to us in middle school, quite a bit behind, but we were able to have more time for academics, but also time for enrichment activities because of our longer day, but on Fridays, we ended at the same time as the district so that we could create a couple of hours for teacher development time. And so every week, we were watching videos of instruction. We were looking at student work together. We were meeting in grade-level teams to talk about students who were struggling and what supports they needed, or meeting in departments to talk about instructional practice. And that routine of careful attention to quality teaching, I think, helped us to get really strong academic results for students. We also were very focused on culture, and building a culture, as you described about the Yeager work, building a culture of high expectations with love and that communication of belief in students. And we were very small, we really spent a lot of time on picking the right teachers to be a part of the community, and then really invested in developing people, and it was amazing. It was incredibly satisfying work. I’m still in touch with a lot of our students and the teachers who worked with me then, and as you mentioned the intro, you know, we got really outstanding academic results and sent students on to really great opportunities afterwards, and that led me to think about policy, because there were a lot of questions where I was thinking, how do we scale some of what’s working well?

Rebecca: That’s such a great transition into the next thing we wanted to ask you about, [LAUGHTER] which is, how does one transition from being in a school into policy making? So can you talk a little bit about your experiences in the New York State Education Department, some of the challenges that you faced, and maybe some of the big successes as well?

Chancellor King: Yeah, so after five years of leading Roxbury Prep, I was thinking about what’s next, and how could I kind of have a bridge to policy, and I decided to go to law school. At that point, I was working on my dissertation, and I decided to go to law school with the thought that there’s [LAUGHTER] a lot of lawyers in public policy. And I had the experience when I was first-year teacher, the summer after my first year of teaching, I interned at the US Education Department in the Secretary’s office, and I worked for the person who was the advisor to the Secretary on teaching, who had been a teacher of the year, but she was often the only teacher in the room, everybody else was lawyers, and so I had this sense that law school could be a helpful set of skills and bridge to public policy. And that ended up happening. I ran a network of schools. I became Deputy Commissioner, and then Commissioner, and as Commissioner, you really are thinking about scale, 700 school districts in New York State. We had a huge infusion of funding from the U.S. Education Department early in the Obama Administration to do work on strengthening the standards for teaching and learning, helping struggling schools in high-needs communities, turn around their performance, building better data systems. So it was a great opportunity to have those resources and to think about scale work. One frustration was we had a very ambitious agenda in the state, and the Obama Administration had a very ambitious agenda for ways to accelerate progress in schools. And I think in some ways that ambition got out ahead of the capacity building and implementing something like the Common Core became very difficult because the work was focused on changing teaching practice, but simultaneously, there were changes to the assessment. Simultaneously there were changes to how teachers were going to be evaluated. It was a lot on the system, and I think I learned a lot about the need to build buy-in on major change initiatives, and to pace the work so that the people doing the work are full partners in it. And I don’t think we did that well enough at the federal level or in New York State. And so there were a lot of good things that we created: incredible curricular materials, the expeditionary learning, English language arts curriculum, which is still to this day, generating outstanding results in many schools around the country. So that was exciting. A number of really creative new schools were launched, like the P-Tech schools that were launched around New York State, where students graduate with a high school diploma, an associate’s degree, first in line for jobs with employer partners in technology and healthcare, in advanced manufacturing, such interesting work, but the politics were very intense, and there were ways in which, if we had sequenced the work differently, I think we could have managed those politics more effectively.

John: So one of the challenges, I suspect, is that when you’re working with a four-year administration, there’s an incentive to try to get things through quickly, which can result in those types of challenges, because, you know, if you don’t get them in the next administration may not share those values and beliefs, so it’s quite understandable. Your next move was to the U.S. Department of Education, where you had some really impactful programs that you had worked on. Could you talk a little bit about that?

Chancellor King: Yeah, so it’s funny, you know, I did a lot of work with the U.S. Education Department when I was Commissioner, and got to know Arne Duncan, who is my predecessor as Secretary, really well. And Arnie called me one day, and he said, Do you want to come down to DC and be my Deputy? I’d really like you to do that. And I said to him, “Look, I love what I’m doing in New York, but I’m a huge fan of President Obama and you and the work that you’re doing, and I’m very torn. Will you promise me that you will stay to the end of the Administration, because if I’m going to move my family to DC, I want to know that I’m going to be working with you?” And he said, “Oh, absolutely, 100% I’m going to be there to the very last day, turn out the lights at the end.” And I said, “Okay, alright.” So after I ultimately decided I would do it and I came down to be his deputy. And then a few months later, he comes into my office, and he says, “I need to talk to you about something.” And he said, “Yeah, I remember when I said I was going to stay till the end. Well, actually, I’m going back to Chicago.” And it was totally understandable. It was important for his family. So an incredible outcome in that the President asked me to be Secretary, and what a privilege to serve in President Obama’s Cabinet and to be a part of such an impactful administration, and to get to work on really critical education issues. A couple of things that I’m very proud of that I did a lot of work on: one is cracking down on predatory for-profit colleges that were stealing from students, stealing their Pell grant money, their GI Bill money, providing students, often, with a substandard education. Often students would not complete, and yet they were in debt to these institutions… just really awful. And we put in place very stringent rules. We shut down some of the worst actors, built a process to cancel the debt for the students who were taken advantage of by these institutions. Now, of course, a lot of that work was undermined, to your earlier point about what happens when administrations change, a lot of that work was undermined during the first Trump administration, where they brought in to oversee higher ed policy, literally, the people who we had been investigating days earlier. That’s who they put in charge from that predatory for-profit college industry. The Biden administration then had to go back and redo some of the work that we had done in the Obama administration, and we’ll see where things go next on that front. But I was proud that we were standing up for students and protecting students. We also had an initiative called My Brother’s Keeper, which was President Obama’s initiative focused on, particularly, boys and young men of color and the challenges they face. And as part of that work, we launched an effort to address really what had been a huge public policy mistake in the mid-90s, which was in ‘94 the federal government banned access to Pell grants for folks who are incarcerated. And this is incredibly dumb public policy, because people who get any educational programming while incarcerated are substantially less likely to return to prison. And for folks who graduate with a degree while incarcerated, the recidivism rate can be in the single digit. So it’s a terrible idea to take away educational programming in prison, but it was part of the period of tough on crime and policies of mass incarceration, and we knew that, but we needed to fix it. We didn’t think we could get Congress to do it. We just did not see a path in Congress. So we used our experimental authority under the Higher Education Act to create a program called Second Chance Pell that would allow 65 colleges and universities on a pilot basis to use Pell grants for students who are incarcerated. And what that did was create extraordinary opportunities for those campuses, but also a proof point where we could bring governors, members of Congress, state legislators, to see these programs, talk to students who are participating, and show that, in fact, these programs are transformational and ought to be how we think about criminal justice reform. And after I left the administration, I was leading a civil rights organization, and we continued with the civil rights community, the criminal justice reform community, to work on these issues, and ultimately we were able to persuade Congress to change the law to repeal that ban, and now Pell Grants are broadly available to students who are incarcerated. And I talk in the book about going to graduation in prisons are just so incredibly moving, because you see not only how people are changing their lives, but how they are changed by the experience of education, and they will describeseeing the world differently, the different relationships they’re able to have with their family members, their kids, and themselves because of what they’ve learned through their higher ed work. It’s incredibly inspiring work, and I’m really proud to have been a part of that movement, really.

Rebecca: We’ve talked a bit about the impactful work that the federal government can do… has done… but there’s been a decline in public support for higher education over the last decade. What can we do to rebuild political support for higher education, especially in this time.

Chancellor King: We have to acknowledge that there’s less faith in institutions generally, and so higher ed has been caught up in what I think is a broader cultural phenomenon of less faith in institutions. That said I think we gotta do a better job of delivering and storytelling. Why I say we need to do a better job on delivering is if you went to one of those predatory for-profit colleges and you left there no degree, no job prospects, deeply in debt, you’re going to be pretty resentful of higher ed. And everybody you know is going to be pretty resentful of higher ed . If you went to a private nonprofit or a public college, and you didn’t finish, but you have debt, no degree, feel stuck, you’re not going to feel very good about higher ed institutions. And so one thing that we need to do is we need to make sure that the students who start have the support to finish, and that when folks finish, they see the economic benefit. That’s one of the reasons I’m committed to the idea of internships for all undergraduates, because I think it’s really important that students are able to, when they leave college, realize the intended economic benefit of college. Of course, we’re preparing citizens and we’re preparing folks to be well-rounded adults, to lead fulfilling lives, and we want to make sure they’re able to support themselves. And so delivering on the promise of higher education and getting better at delivering is a part of the work. But then the other is storytelling. I don’t think people realize how impactful higher education is in every aspect of American life, that I don’t think people realize that when they’re looking at their phone, that there are hundreds, if not thousands of things that are happening inside of their phone that were made possible by research that was done on higher ed campuses. Or when people go to the doctor and they’re getting their treatment. I’m not sure they realize that the reason that treatment is even available is because of research that was done on higher ed campuses. And so I think there’s some storytelling we need to do. I was struck that last week when Harvard decided to push back on the demands of the administration to really violate principles of academic freedom, one of the things they did was they changed their whole websites and that now when you go on the Harvard website, it really walks you through Alzheimer’s research, cancer research, research that helps our military members be safer. There are just so many things that research is making possible. And I thought that was really smart on their part, and I think that is something we as a sector need to do a much better job.

John: Yes, the change in the Harvard website is really impressive, and it’s a case, I think, that we all need to make in our own ways too. And your book actually helps in this way too, by showing the impact that education had on your life as well. You conclude the book with a discussion of tracing your ancestry to enslaved people owned by Thomas Griffith on a farm in Maryland that was still owned by Griffith’s direct descendants. Can you tell us a little bit about your experience of visiting that family?

Chancellor King: Yeah, well, I’d mentioned earlier that my grandmother graduated from University of Maryland Eastern Shore, 1894, and UMES reached out and asked me to give the commencement. And it took a while, different events for me to do the commencement, but during that period, as I was preparing for the commencement, I decided to do some family research to try to flesh out the speech. And I worked with a woman who did genealogy-type projects at the Schomburg, the part of the New York City Public Library that works on African-American history. And one night, she sends an email to me and my family. We’re sitting on the couch watching TV, and we get this email, and it says, “I’ve discovered the place where your great-grandfather was enslaved. And by the way, it’s less than 25 miles from where you live. Ir’s in Gaithersburg, Maryland.” I was living at the time in Silver Spring, Maryland. And “Oh, by the way, the property is still owned,” as you said, “by the direct line descendents of the family that enslaved your family. And, oh, by the way, the cabin that your great-grandfather lived in as an enslaved person with his family is still standing on the ground.” And you know, it took your breath away, right? Because, as an African American, you know that there’s this tie to the institution of slavery, but to think that you’d be able to be in the place, that was very jarring. And then this conversation followed like, so now, what do we do with this information and like, do you call ahead? Do you send a note? Like, how do you introduce yourself [LAUGHTER] to this family and you have this complicated history? And it happened that my cousin was in town, maybe the next weekend, to visit the new Smithsonian, the African-American History and Culture Museum, and they have a cabin in there exhibit that they brought there, that cabin for enslaved people. And that prompted my cousin to say, “You know, I got to go see this place.” So she literally went there with her husband. She knocked on the door and she said, “Our people were enslaved here,” and that opened up this whole relationship and journey that we’ve had with the Beckers, the family, two sisters, who are descended from the Griffith’s and it’s been a fascinating journey. One, it’s there’s something quite profound about standing inside that cabin and appreciating, really, the cruelty of the institution of slavery. The cabin is not 30 feet from the main house. So you have this profound sense that these were two families living together in the same physical space, one owning the other. Certainly in our family, we also have the profound sense of gratitude for the journey of our family, the fact that in my family, we went in three generations from enslaved in that cabin to serving the Cabinet of the first black President. Incredible story about what’s possible in America. We also have had a journey in just getting to know the Beckers and talking about this history and realizing that even though they grew up amongst the artifacts of the institution of slavery, called that cabin the quarters, they had not spent a lot of time thinking about what the institution of slavery was and meant, and we’ve had some really difficult conversations around that, but I think we’ve learned, they’ve learned, from those conversations, and it’s made me even more committed that our schools, higher ed institutions, have to grapple with the truth of our history, the complex truth, the pain and the progress and that, to me, is just essential to the health of our democracy.

John: And we’re seeing a lot of pushback on that right now, which is really, really troubling.

Chancellor King: Yes, horrifying. I mean, some of the things you’re reading of people taking down the Harriet Tubman poster, taking books out of the library, it’s chilling.

John: Changing the history curriculum in many states so that mentions of slavery are being removed and so much else.

Chancellor King: Yes, during the confirmation hearings for Secretary McMahon, Chris Murphy asked her, do you think teaching African-American history would violate the President’s executive order against diversity, equity, inclusion? And she couldn’t give an answer. She said, “I’d have to look back at it.” I mean, that was shocking to me. And to be clear, I think it’s 100% crystal clear that teaching African American history is 100% consistent with the law, so I was shocked by that exchange.

Rebecca: …and consistent with the history of our nation.

Chancellor King: Yeah, it has the benefit of being the truth, right? [LAUGHTER]

Rebecca: This has been really fascinating, and I think folks will really enjoy reading your book to really see the impact education can have through the many stories of teachers that you’ve shared and various aspects of our education system in the U.S., we always wrap up by asking, what’s next? The big, daunting question [LAUGHTER] of what’s next?

Chancellor King: Yes, yes. President Obama would always say, he’d always quote Dr. King, and the line that “the arc of the moral universe is long, but it bends towards justice.” And I truly believe that. And I know there are things happening today that can feel like sliding backwards, but I am nonetheless optimistic that in the long run, we will continue America’s history of progress toward expanding the circle of opportunity. And so these are setbacks, but they are temporary, and we have to continue to build, and educators have the opportunity to do that every day with their students, the opportunity to build towards a future that is more just, more sustainable, and we just can’t be deterred from that by the awful backsliding that we’re seeing. We have to just double down on our efforts to invest in a better future.

John: And it’s encouraging to see the proteststhroughout the country right now.

Chancellor King: Yes, people standing up for the rule of law, for due process, for academic freedom, for the important services that government provides. for our public servants. There are half as many people today working at the U.S. Education Department as there were on January 20. And my heart aches for colleagues who I know were so committed to being of service to the country, who many of whom are former teachers, principals, faculty members at higher ed institutions, student affairs people in higher ed institutions. they came to the department so that they could contribute, and they’ve been treated so horribly, and that’s true across so many areas of government where people have been tossed aside who only want to serve. I’m so glad people are standing up for them.

Rebecca: Well, we appreciate you spending time with us and sharing your story and sharing pieces of your book with us today. Thanks.

Chancellor King: Thanks for that opportunity, always great to talk with you.

John: Great talking to 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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389. Inclusive Math Instruction

Undergraduate math courses, as traditionally taught, often serve as barriers to entry into many STEM disciplines. In this episode, Aris Winger joins us to discuss strategies that can increase student success and reduce equity gaps in student outcomes in these classes.

Aris is an Associate Professor of Mathematics at Georgia Gwinnett College. His current areas of interest include equity in mathematics education, culturally responsive teaching, and social justice mathematics. He is a co-author of the book series Advocating for Students of Color in Mathematics and is the Executive Director of the National Association of Mathematicians.

Transcript

John: Undergraduate math courses, as traditionally taught, often serve as barriers to entry into many STEM disciplines. In this episode, we explore strategies that can increase student success and reduce equity gaps in student outcomes in these classes.

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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 Aris Winger. Aris is an Associate Professor of Mathematics at Georgia Gwinnett College. His current areas of interest include equity in mathematics education, culturally responsive teaching, and social justice mathematics. He is a co-author of the book series Advocating for Students of Color in Mathematics and is the Executive Director of the National Association of Mathematicians. Welcome Aris.

Aris: Thank you for having me.

John: It’s great to see you again. You were here not too long ago to do some workshops on our campus. Today’s teas are:… Aris, are you drinking any tea?

Aris: Oh, I am not drinking tea. I’m drinking water. Yeah, my family is a big tea drinking family, but I’m just a water drinker.

Rebecca: That’s okay, water is the foundation of tea.

Aris: Yeah, that’s right. [LAUGHTER]

Rebecca: I’m drinking Blue Sapphire today, John.

John: Back to an old favorite.

Rebecca: It is, yeah.

John: And I am drinking Lady Grey.

Rebecca: Oh, nice, I had that not too long ago.

Aris: Excellent.

Rebecca: So in most colleges and universities, passing rates in math classes are lower than most other disciplines, and we’ve invited you here today to discuss strategies that would allow more students to be successful in the study of math. First, though, can you tell us a little bit about your own educational journey?

Aris: So yes, I was valued in math from my earliest mathematical memory, and so my earliest mathematical memory was with my mother, who was showing me the future. I remember going up to her and, like, “Mom, look, two plus three is five.” She was like, “soon you’ll notice that two and she put an x 3 is six.” I was like, “What’s that?” She’s like, “You’ll see.” And then from there, like, early on, I was doing two-digit multiplications faster than other people. And then the teachers around me were like, “Oh, you’re good, you’re fast, you can do this.” And so I say, “Oh, I guess I can.” And so I started to develop sort of a math identity. That is to say that it became part of me to be, quote, good at math. And I kept that for a long time. And when life got rough for me, when I was younger, I could always go to math and be safe at math, because I felt an identity. I felt good there, I felt valuable in mathematics. And so it just became a deep part of my identity. So that meant that I was going to major in math. That meant that I was going to be a mathematics professor the whole nine. So I continue to go back and look at that story to see my through line. And I’ve had to change the story, by the way. It used to be, in this journey that I’ve had, I’ve had to change the story also, because the story used to be, “Oh, I’m just smarter than other people,” when, in fact, the story really was that I’ve been trained. And really making this understanding that not that drinking the Kool Aid, that somehow I’m ordained to have a mathematical brain, I’ve been trained, and I deserve to say that I was trained, because I put in a lot of work. And so if a surgeon can say they were trained, a mathematician can say that they were trained also, and so for 10 years, from 1995 to 2005 I got a bachelor’s, master’s and PhD in mathematics. That 10 years was training.

John: A very large share of students that we see in college say “I’ve never been good at math”. Why do so many students come in struggling with math or believing that they’re not capable of being successful in math?

Aris: Yeah, well, it’s because they’ve had mathematical experiences that weren’t optimal for them. And so there’s a narrative that I want to interrogate, and I’m thankful for this opportunity to speak out, an interrogation of a narrative that we have to call into question. And so it is this notion that somehow math has done something to us and math has done nothing to us. So when someone says that they hate math, they’re not talking about the body of knowledge that’s the greatest body of knowledge in history of the human experience. They’re not talking about that. They’re talking about a human relational experience they’ve had in the culture of mathematics that humans have built about how we do math, particularly in the western context. And so whenever someone today says, “Oh, I hate math,” then I just say, lots of my colleagues say, “Oh, I’m sorry that happened to you.” I just say, “Who was it? What grade? Tell me what happened.” And then often they will say, “Oh, it’s this person, here’s what they said to me,” or “here’s why I didn’t like this class.” Lots of times they also say it was when the letter showed up. And so for me, what helps me is that I try to return to the innocence of the person that is talking to me. So when someone says that, I’m thinking about a kid sitting in the chair and then all of a sudden, they’ve been doing percentages, they’ve been doing proportions, and then all of a sudden someone writes an X up on the board and says, I want to know what X is. And for some reason, it blows this person away, like I have no idea what’s going on. And that person starts to, maybe for the first time, feel unsure, feel like they don’t belong. Now, there are all these feelings that are showing up that never got attended to. And we know in this discipline, the way that it is taught, that that cascades, because then this builds on the next thing, which builds on the next thing, and then all of a sudden you find yourself, “Whoa, I gotta get out of this thing.” Now, the tragedy that we have in our society is that we have lots and lots of our young people who are getting out of the discipline of mathematics, and it’s the most important, [LAUGHTER] right? And so that’s the tragedy, that’s the crisis, that we have so many people leaving our discipline. And so I want to be clear, that doesn’t mean that everyone needs to be a math major. That means that the world that I dream of is one in which we’re all connected and thriving quantitatively. What does that mean? That means that we are allowing ourselves, or we have the permission, to ask quantitative questions like, “Why does that cost that much?” and “is that the right percentage rate for my mortgage?” and “why don’t I want that payday loan?” Right now we have so many silent people quantitatively, because the predominant space in which we think quantitatively is in school, and so in school, school mathematics, systematically, is about some other narratives that we continue to uphold, like speed and correctness, and it doesn’t allow for the imagination to grow. So the answer to your question is that these experiences, when we see the people today in our colleges, they are, in terms of math, they are an extension of a past experience that is over a decade long. And so I want to return all of our kids back to that, in a sense, to “Wait, you know, you’ve had a math experience that has been difficult.” And for me, one of my goals is to create a new narrative for those people who come into my class, and not just for them. And so if I can get a young person or old person, whoever’s in my class, to think differently about math, then maybe they get their cousin to think differently about math and their little sister. And because, again, you never know who’s watching and who’s going to see how you interact and how that impacts them.

Rebecca: You’ve talked about our individual experiences with math and how much they vary, and they vary across elementary and secondary school districts as well. What can college math instructors do to help address these inequities in prior knowledge?

Aris: The first thing I would think of is that each college instructor needs to look at each of their people as an individual. And so for me, for so long, I would go to my pre-calculus class or college algebra and say, “Okay, I’m teaching that group,” and that was 11 years ago. And today I go in and I’m saying, “Oh, I’ve got Sammy, I’ve got Mark, I’ve got Jamal, I’ve got Lisa, I’ve got Tiana, right? I’ve got this group of people, and I’m teaching this subject today. Given who I have in my class, what should I be doing today? And how should I do it today?” And so there is a returning, or perhaps introducing, for the first time, a humanity of the people who are in my class. And so that’s the first thing. Just acknowledge that you’re teaching a group of human individuals Now, from there, there’s an acknowledgement that you yourself come from a culture, come from an experience, and that that’s going to impact the way that you teach. And so then, now, at this point, how is it that we can develop a good relationship between yourself and the people who you’re going to be engaging with for the next 14, 15, 16, weeks in this discipline, and then thinking about also this balance between your relationship with those people and the content, and which one comes first. And so for so long, it’s like, “Oh, I gotta get through this. I gotta get through this. I gotta get through this topic, this topic, this topic, this topic.” And the thing that keeps me up at night is that, in our discipline, there’s a crucial question that’s lacking in our discipline still, and it is the question I think we have to ask ourselves, is, “How do my students feel?” Somehow, the question of how my students feel when I give back assignment and it’s marked up with red, or if Pearson MyMathLab says that, “No, that’s incorrect,” and they’ve been working on it, or if they’re in ALEKS and they’ve been working on a topic for 35 minutes, and ALEKS says, “You know what, I think you should move on.” How that makes them feel? Or maybe a policy that I have of no late homework, even though they have two jobs, all of that. How is it that what I do in a space where I have all the control, how does it make my students feel? And then to rectify that with how I want them to feel learning the greatest discipline in the history. Now we know how I want them to feel. I want them to feel curious. I want them to feel empowered. I hold knowledge that I’m trying to convey and explore, for them to be super powerful, super engaged and literate quantitatively. And so I want all these positive emotions, and yet all these negative emotions are happening. And so part of my job as a professional, I see, is to try and ease that tension, to have them try and learn it, but also for them to feel joy, to feel curiosity, to feel great about themselves, right? And so I was at the joint math meetings, and I was giving a talk, and at the end, I was talking about feedback forms, that you’ve got to get feedback from your students in order to understand what’s going on with them, because you don’t understand what’s going down, that was the bold claim I was making as a teacher. A person in the audience at the end said “I wanted to push back.” Now I love pushback, because lots of great things come out of pushback, just like I want to push back. And I was like, “Okay, great.” And then he says, well, sometimes you shouldn’t listen to their feedback, because I had a student, and we were in class, it was a class of five, and we went through the whole semester, and I could tell they hated the entire experience, but then they came up to me a semester after this semester, came up to me and said, “I hated every moment of your class, but I learned all the material.” And then he said, “that’s the reason why we should ignore our students’ feedback.” And then I responded to him. But then afterwards, after the talk was over, I went out, and he pulled me aside. It’s like, “See I did my job.” And I said, “But wait, so this person got all the content from you, but this person hated every moment in this class, and you think you did your job,” and to anybody who’s listening, that if students got all the content but hated every moment of it, then we haven’t done our job. And that, I want to imagine us doing mathematics and them getting content in connection to the greatest discipline and being who they are, loving every moment. And that’s the dream, and that’s hard, because when you get back a C minus, how can we have someone have joy and get a C minus? And these are hard questions. I don’t claim to have the answers to these, but again, this is tension, but we have to continue to dream, because we have in our hands, we have in our expertise, this great discipline that we have to continue to pass on to people, but pass on to people in joyous ways.

John: Given the diversity in what students come into our class knowing, though, it’s hard to come up with a method of instruction that provides sufficient support for all students while still helping them learn more. How can you build that…

Aris: No, no, what you just said is false. Now, it might be true that we have not been able to do it yet. So what you just said, I respectfully disagree. I think that what you said is true if we continue to do what we’ve been doing, there’s no doubt about that. And so that’s what I mean about dreaming. And so I’ve come on to this podcast to dream with you. And so when you dream, you can’t say stuff like that, because then there’s no openness to be like, “Okay, wait, how can we do something else?” I agree with you that if we keep doing what we’re doing, then… and so let’s unpack that. That means that I go in front of somebody, I go in front of a class, and this happens to all of us. It’s a great problem. You go in front of the class and mathematics, the way it is built now, says that, “Oh, you must have prerequisite knowledge.” And so that means that we think of math in school as a body of knowledge, more than a natural human activity. And this tension, we have to make sure we elucidate and make clear that we can think of math as a body of knowledge, or we can think of it as a place where people get to play. Now, in one of those with the natural human activity, everybody just needs to come, explore, think about mathematic questions. This is the math circles space where you just play. You make it an introductory question, and it’s set up so that there are multiple entry points, and you just go after it, and then you have someone who’s facilitating, who’s valuing every single contribution. Notice I didn’t say answer, every single contribution. Or you can think of our discipline as this compendium of knowledge, where, over the last, however, many centuries since the dawn of humanity, we’ve been collecting all of these mathematical facts into one big thing that, again, is the biggest dossier of human knowledge that humans have. But if you think about it that way, exclusively, then when you come into pre-calculus, then when I look at you, then I’m thinking, “Do you know enough college algebra?” And if I do that, then I’m being exclusionary from the jump. The first day of class, we’re being exclusionary subconsciously, to all of our students, to some of them, right?

John: You interrupted me in the middle of the question. The next part I was going to ask, I think, would get to the points that you’re making, that we want all of our students to be successful in developing their knowledge, but given their differences in backgrounds, what are some strategies we can use, perhaps to leverage peers in class, or in other ways, to help provide that sort of support for all of our students, no matter where their starting point is?

Aris: I think that’s a great question, and it’s true that given if–then statement, if the if I call in the question, I will not hear the then. So yeah, that’s why I interrupted you. So what we have to do is, again, we have to change the narrative of what a teacher thinks. And so now, and I’m about to get into trouble, stepping all the way back, the challenge with our students in mathematics is really a challenge with our professors. And so this means that there are lots of us who are superbly comfortable, who have lifetime jobs with tenure, who have been successful in quotes. What does that mean? That the way they think about success has been, “Oh, I’ve had five to 10 students come back and say, ‘That was a great experience. I have students who are going to graduate school. I have students who are doing research.’” And so the revelation for me was, wait, I’ve had hundreds of students, and I’ve gotten dozens of feedback, [LAUGHTER] and I’m using the dozens of people… like you only hear from the people who are doing great, because the people who don’t like you aren’t going to tell you to your face, right? And so I’ve had biased feedback and like, “Well, wait, what happened to this person, this person, this person, the person I don’t even remember, was I really serving them?” And I actually don’t know the answer to that. And so there’s something about each of us as professors completely being rigorous about how we teach and critical of the way we teach, so that we continue to use new methods. And so this is happening in our discipline, where lots and lots of people are now doing active learning, lots and lots of people are doing less lecture. And so this is not a critique on lecture. It might be a critique on lecture with five people, or it might be a critique on lecture with 300 people. But again, like if you’re lecturing to 300 people for however long, how do our students feel? Later today, I’m doing some stuff with Math for America, and last year, when I did some stuff with them, I had a person and I’m gonna ask whether this is similar for them tonight, who has 35 students in 45 minutes, Monday, Wednesday, and Friday. And that person has said, “Well, I can’t do anything but lecture, I’ve got to get the content out.” And this is in the context, of course, in K through 12, where you might have your state forcing you to make sure you do well in the course tests. And so they’re under so much pressure. But again, as we imagine, I’ve seen people do active learning with 35 people in 45 minutes, and so that’s something that you just have to try. So the first thing I want to say is that, what have you been doing? Have you gotten the feedback that it’s working? What are the grades look like in this system and continue to try new things. And so you’re not going to do stuff overnight. The thing that I don’t want to see is that you’re doing the same thing you’ve been doing the last 25 years. That we can’t have. And so I am making a call of action to our professoriate to try something new, be bold, and what better time to do it is when you can’t be fired. We have a lot of anti-tenured, tenured people, in the sense that a big part of the point of getting tenure is to then explore, say what you feel, to not be put in a box. And then that’s sometimes when we become the most conservative. I do want to shout out, though, our lecturers and vital faculty, the visiting, the instructors, the tenure track, the assistant professors, and so forth, that are also thinking about these things, who don’t have the job security, who may not have the ability to be creative in the classroom also, because then they might be judged for it, or say, you know, “You can’t do it that way and don’t have that job security, also.”

Rebecca: As someone outside of mathematics, it seems to me like there’s a role for faculty in other disciplines to play here as well, because there’s a lot of fear mongering around math, I think, from other disciplines and things, maybe from their own mathematical experiences. But I know, as a designer, I’m constantly helping students try to find some relevance to the math so they’re not so scared of it, because I think it’s really important for their work in just about every discipline.

Aris: Yeah, I think there’s a big disconnect between mathematics and all the other disciplines. And again, to your point, I think it’s because everyone has their own walk with mathematics, and oftentimes it’s not a positive. So that means sometimes we get advisors outside of math who are saying, “Oh no, no, don’t take that. You don’t need that extra math class.” Or we get people who are just like, “Well, let’s just get you through math as quickly as possible,” or whatever. For me, that just means we need to be having more conversations like, “What does it look like?” I’m dreaming again. What does it look like for a designer to sit down with a math professor, or the two departments to sit and talk together and say, “Okay, well, what do you want mathematically for our students? What do you want design-wise, for our students? How do these things intersect?” And so we’ve been in a silo, mathematicians for a while. People just leave us alone. And now we see what’s happening. Math departments are closing. People are losing majors because now we thought that we could just do our own thing, serve, have our majors, but now people are really starting to ask the question, “Well, wait, the way that you’re teaching. It doesn’t feel like it’s so relevant.” For too long, we’ve asked, “Well, how am I supposed to use the quadratic equation in real life?” And actually, I don’t think we properly responded to that, because I think the proper response is that, “Oh, solving the quadratic equation is useful in cognitive agility in this way, this way, this way. And in addition to that, you’re right, [LAUGHTER] right?” Yeah, that like “Doing this exercise is helpful in these ways, and you probably won’t see it in the future.” And so that’s why we made quantitative reasoning, that’s why we have these other courses. But that took us a very long time to do that, to actually respond to people, like my school didn’t even have a quantitative reasoning class until finally, we looked at all the DFW rates and it was just like, “Well, we have to do something else.” Now, what happened there was this movement from college algebra to college algebra and quantitative reasoning didn’t have to happen, but it was a “Wait, we’re not moving on college algebra. At some point we think college algebra has to be this. And therefore, if you want these people to succeed, then we have to create this whole other space for them.” Again, as I dream, I would imagine that mathematicians as teachers would say, “Well, wait, maybe we could teach it differently,” but we didn’t do that. But I think lots of times, mathematicians and math faculty are movable objects like “No, it has to be taught this way.” And then very few people outside the discipline can come up to it and say, “Well, no, can’t you change?” And them saying, “You can’t change, because it has to be like this. We’re the experts.” But when I also think about other disciplines, I get jealous. Yeah. I mean, because, like, other disciplines get to talk about the great ideas and the systems that I’m in that I see we don’t get to talk about the great ideas. The notion of infinity is one of the great ideas that mathematics brings to the world. And so when I think about Calculus II and sequences and series, and people are going to start to groan when they listen to this, that we fail to see that we’re talking about how infinity operates, one of the many ways that infinity operates, and it’s an absolutely brilliant idea that very few people talk about because we’re too busy talking about ratio tests, and then you just get bogged down in what tests are we using, or does this have a limit? And you just forget that the notion of adding up an infinite list and getting a finite number is like so unbelievably profound. But political science gets to talk about justice, U.S. history gets to talk about the Constitution, and philosophy gets to talk about God, and over here, we have just as deep things, but we’re so tied up in procedures and making sure that you have the right minus sign. Do you see the difference that I’m bringing up? That in literature, people get to read Toni Morrison, and I’m not saying that I’m jealous that they have better things. I’m saying we have just as good things. But why is it that we are bogged down in this minutia, but they’re not critiquing Toni Morrison’s grammar. They’re just reading Toni Morrison and becoming better humans. Where is the becoming better humans in Calc I, where’s the becoming better humans in algebra? And that’s the open space that I dream of in our classes.

John: I’m hoping going forward, that we will still see students studying the Constitution in history classes. [LAUGHTER]

Aris: That’s right.

John: That may be changing in the current environment. [LAUGHTER]

Aris: I shouldn;t be laughing.. I don’t want to laugh, but I also don’t want to cry. That’s right. [LAUGHTER]

John: Sometimes we have to.

Aris: That’s right.

John: But as you’ve noted, students often come in with this fixed mindset, and they often have not had that much success in their experiences before they get to us. Should there be, perhaps, more effort in society to transform K-12 math instruction so that we don’t lose so many people from a discipline that’s so important?

Aris: I agree with that, and I think we also have to be careful. So I have no time for figure pointing, because what I’ve seen when I do professional developments all the way K through 50, whatever it is, right? As I just go, yeah, that I always see the pointing back. And so when you go to the ninth grade, it’s like, well, eighth grade, and then eighth grade it’s like, well, it’s Elementary, and then Elementary, it’s like, well, it’s the parents, and then it’s like, it’s the reverse induction, right? You just go back, well, then maybe we shouldn’t have kids at all, right? …if you want to just keep doing that. And so I think we’re all in this. And so there are two things, you come to a young person, you come to a student who’s had a bad math experience, and they’re a sophomore, and it’s the first day of class, and so you know they’ve had a bad math experience, and so you can’t send them back into K-12. They can’t go back. And so we can say, “Oh, this might be… and I have said this earlier, that this is a response of a bad math experience they had earlier.” And yes, we need to fix that. But this person’s in front of me today, and so I don’t want us to be confused that, “Oh, that this person is a lost cause.” The responsibilities on me now to create a better mathematical experience for this person and to help them as much as reasonable, and we can need to, as we were saying earlier, have conversations with K through 12. So what are real, fundamental conversations between math faculty and K through 12 faculty. And so what’s nice particularly about Oswego is that you all have the opportunity to make real connections to the K through 12 places, to schools that may feed into Oswego, and sit down with the faculty and say, “Oh, what’s happening?” I’ve seen this happen out west at Sonoma State, where they have relationships with K through 12 schools, and they’re having those types of conversations. Now, those conversations aren’t easy, because there’s status that you have to disrupt about in the space and that you just have to deal with, but once you break that stuff down, become one in community, then you can start to have real conversations about, “Oh, wait, you’re teaching this, but we’re teaching this. And so when did they end up learning this? And oh, do you really have to teach that?” Yeah, and you just have good conversations.

Rebecca: As we’ve been talking today, was thinking about an early experience I had in my teaching career where my previous institution I was invited as the non-math faculty member to join an assessment retreat and spent an entire week out of town with the math faculty, who I really didn’t know very well, and we had a great time, and found all kinds of connections between our disciplines. And for me, I think that was a really important opportunity. So I thought it was a really wonderful opportunity to collaborate across disciplines and to get a better understanding of what the faculty in that department were doing, what some of their objectives were, but also I shared what some of the art and design students, some of the struggles that they have, and I thought it was a really rewarding opportunity, and I actually had forgotten about it until this conversation. [LAUGHTER]

Aris: That is fantastic. That’s fantastic.

Rebecca: But it sounds right along the lines of what you’re advocating for as a way to share and disrupt and move things forward.

Aris: Absolutely, absolutely.

John: From society’s perspective, the rate of return to higher education, despite the popular perception, is pretty much at the highest we’ve ever seen, and that’s especially true in STEM fields. And yet, students of color, though, have been seriously underrepresented in STEM fields, perhaps partly because of underrepresentation in faculty and in their prior interactions. What strategies could be used to help reduce some of those inequities in terms of the mix of students who are entering into STEM fields?

Aris: Yeah, I mean, there are a couple of things. So this is an individual and a systemic issue. So individually, I think you have to go all the way back and say, “Well, what does it mean to be of color? What does it mean to be a student of color? What does it mean to be a person of color?” And again, the challenge is that people don’t even want to ask that question. Like, student of color or person of color, came into the vernacular at some point, and we just didn’t stop and say, “Well, wait, what does that mean?” And so when I say that I am black in the United States of America, people who are listening, what does that mean to you? If you’re listening to this five weeks from when we record and I say that I’m black, what does that mean to you? What do you think that means to me? Now I want to be clear. The reason why I ask is because when Lakeisha comes to your class, and Lakeisha is a young black woman, and you haven’t even thought about what it means to be black, then are you going to try and convince me that you’re prepared to teach Lakeisha? Do I want my daughter in your class? And the reason why I bring this up is because it means everything to me to be black, it means everything to me, and you haven’t even thought about what it is. So now I’m coming to your classroom, and there’s something fundamentally important to me, and I look at you and I already know the signs that it doesn’t mean anything to you. And so then you are already positioned to me as someone who doesn’t even care about me. And now let me step all the way back. Everybody’s nice, everybody’s a good person. Everybody’s loves their family, loves the country. Everybody’s nice, nice, nice, nice. I’m not talking about nice. I’m talking about love, actually. I’m talking about realizing the nature of the place in which we live, the United States of America, which is again a place of ultimate brilliance, but a place that also has had significant struggles, tragedy and terrorism amongst people of color and black people in particular, right? We can be both, brilliant and have terroristic backgrounds. And so for me, that’s the first thing on an individual level when we think about again, when I said earlier that we have to think about our students individually, that is tied to, “Wait, that person is black in America, that might mean A, B, C, D, and E.” Now it could mean that. It might not mean that, but sociology is a thing. Sociology is real, and the studies show that, about marginalization, how people feel. Stereotype threat, microaggressions, those things are real things. And so that means, again, we need to be educated about what that might mean. But let me take 17 seconds… that for me to be black means two things at least. It means that, again, I come from a miraculous people. I come from a group of people who have been terrorized and stigmatized for centuries in this country, and somehow, our most profound voices, our most powerful voices, are ones that are trying to teach love and justice for everybody. That’s a miracle, like somehow, like in the face of all of that ugliness, our leaders come out talking about love and justice for every single individual. Being black also means that I’m part of a social constructed category where I am not getting things that other people are getting because of skin color, and that’s personally, and that means systemically. And so both of those things are happening, are a part of who you see in me. But what that means is, when you look at someone else who is of color, then you might say, “Oh, that person’s walking around in this society, and they might be experiencing stuff just because of the color of their skin.” And again, coming back to that fundamental question, “How might that make them feel? How might they be struggling today to learn some of the stuff that I’m saying.” And most importantly, how is it that in these four walls for this hour and 15 minutes, in a space that I fully control, how is it that I can make this space different, different from what the rest of the world has told them their whole life? So that’s the personal one. Now, systemically, I’ve been thinking a lot about mentorship, and so if we have 17 students of color, 17 marginalized students in whatever category, whether it’s women in STEM also, 17 students at my institution who are part of a category, a social category, they might be black, they might be whatever, then the question for me becomes, how is it that we get them the right mentors, and that means that focused attention by someone who is ahead of them on the road for their goals, someone who is going to sit with them and look in their eyes and have them convinced that, at least for that hour of that meeting, that no one else in the world as important as they are to that person, someone who is going to awaken something within them, all potential that they didn’t even realize they had. And so when you have good mentors, then you provide pathways for people that they didn’t even think were possible. Now, of course, the challenge is, how is it that we need to train good mentors? We need to get them out there. Right now, we are not trained to be good mentors, particularly across identities, particularly across racial identities and cultural backgrounds. And so my immediate hope is that we would get mentors to people about what it means to be a STEM professional, because what mentorship also does is it gives people who are trying to get into STEM, STEM identities. It opens the doors for them to be like, “Oh, I can do this.” For 25 years, I’ve heard young people say, I saw this person, I interacted with this person, and I realized that I can do this, particularly when Ketanji became a Supreme Court justice. I just remember the very next day, a 16-year old black girl said, “Now that this has happened, a whole world has opened up for me.” I just want that to sit with the listener, that this person will never meet Ketanji. They simply need to just see her become a Supreme Court justice, and now a whole world is opened up for them. Now that’s just from 1000s of miles away. If we can somehow get mentors to each of our young people who are trying to do this, then it gives them, like this personal connection too. It makes it even powerful.

Rebecca: Some of the change that you’re talking about, the dreams that we’re dreaming together, definitely are some of the long game… [LAUGHTER]

Aris: Yes, absolutely, absolutely. Yes, yes, yes.

Rebecca: What are some of the short game moves that we can make to get to that longer game?

Aris: Yeah, so then I think it depends on who I’m talking to. So then if I’m talking to someone who’s seasoned, who’s comfortable, who is going about their life, and it’s easy, again, as we said before, I want you to say, “Well, I want to do something bold and different.” And again, I guess the first thing I would say to you is, “I want you to send your students the feedback.” We can do this in multiple ways. I want you to have some real conversations with and get some real feedback from your students about how things are going with you and whether you are doing your due diligence and uplifting people in the discipline of math. If you are new or you have little power or you’re just moving up the ranks, there’s something about also looking at your practices, but being able to get a critical mass, like just joining other people. I think this is true for the older faculty too, but just joining communities and listening to how other people teach and how other people operate in their craft, they continue to just be educated. So again, that’s on the individual level. On the systemic level, I’m looking at our leaders. So then I’m talking to department heads. I’m talking to deans and to presidents and provosts about doing more than just not rocking the boat. And so when we have young people, when we have these disparities in STEM across racial lines, that’s on you, leader. So I’m really trying to push leaders to just say, “Okay, wait, not under my watch.” 17 years from now, I want you to be able to say, “Maybe things have not change, but here are the three things that I tried and they failed, and even in the failure here the 15 things we learned,” that the too many leaders who would just come into position and just try to keep things still and when in fact, your job may be to shake things up so that more people can thrive. So I just met so many leaders that have just been like, “Let me just come and steer the boat,” when, in fact, you may need a whole new boat. You may need to be on a new river. Yeah, so I’ll say that, in that delineation, I mean on the individual level, you’ve got younger faculty, older faculty, and then they might be doing things, but then at the systemic level, our leaders need more courage. They just need more courage. And so the challenge that I have, and it goes back to what we said earlier, is that in order to get courage, you have to be compelled. There has to be a compelling reason for a leader to say, “You know what, I’m going to do the thing, and y’all are not going to like me. We’re going to make classes unified at the 1000 level for math, because this is what our students deserve. And I don’t care what you think about, because the data says that having classes that are completely different from professor to professor makes students suffer, and therefore we must unify. Let’s get to work on it together. And if you don’t like it, okay, we can talk about that too, but this is what we’re doing.” And so that person who does that is compelled by the suffering of our students. The lack of access for our students is the driving factor. There must be something that compels leaders to change, otherwise they won’t.

Rebecca: I wanted to follow up on the feedback forms because you’ve mentioned that throughout our conversation today, and for someone who’s like, “Yes, I will do this,” what would be in said feedback form?

Aris: Oh, thank you for saying that. It would be questions that if they got the answers to, it would shake them and make them really uncomfortable. The thing that I want to say, that I should have said from the beginning, is that it’s comfortable or outstanding, you only get to be one. It’s comfortable or outstanding, you only get to be one of those. And so when I created my feedback forms, and I started filling them, and I started putting in the questions, like, oh, wait, if I actually heard the real answer to this, I’m not going to feel good. And then part of me said, Well, that means it needs to go on there. And so what does that look like? That means like, “Am I doing a good job? Am I giving you everything you need? What do you want me to change?” That one’s not so bad, but it’s just like, “Did I say anything that bothered you? How is my language?” It’s just stuff that like, are you having good time, right? So that’s about me, and so how can I just be better? But then the thing that was transformational for me is when you ask anonymously, people about their lives, and just say, “What’s your biggest challenge today? What are you going through right now? What excites you the most? What do you do when you’re not in school?” So feedback forms do so much if you are authentically digging into them and asking questions that might push you out of your comfort zone, because it’ll change you forever. Because when someone says that all your math problems are binary in terms of gender, and it leaves me out, then it changes the way that I teach forever. Forever. One sentence changes the way I teach forever. That’s just the tip of the iceberg. There’s tons of feedback forms out there, so you can go and investigate those. But for me, it’s “Okay. How am I doing?” And “Who are you as a person?” I have colleagues who give them out after tests also who have, like, logistical and utilitarian reasons for giving them out. But for me, as you might imagine from what I’ve said so far, I’m trying to figure out, am I doing a good job in humanizing you, and who are you as a human.

John: Is this something perhaps that people should do at the start of the semester, just to gather some information about who the students are in the class as well as during the class?

Aris: Yeah, you’re giving them out a lot. Yeah.

John: And you mentioned anonymity. I’ve gone back and forth on that in terms of gathering information about students. Students are likely to be more open when the forms are anonymous. On the other hand, if there’s specific concerns for specific students, there’s some benefit of knowing who the students are. And I’ve sometimes done a mix of those things, where I’ve had some things which were just anonymous and others where students let me know at the beginning of the term, in particular, if they have any special concerns or needs or any challenges they faced in classes in the past.

Aris: I appreciate that, yeah. And so I definitel moved the anonymous route. And then I will say that some of you wrote some things that I think you and I need to talk about personally, and I hope you know who you are, and say, yeah. And then I don’t know if I get any more specific than that, because of anonymity reasons, but yeah, so I try to open the door that way. But yeah, I like your idea of mixing them for sure.

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

Aris: Oh, just the same old, same old. And that’s enough, [LAUGHTER] right? So, yeah, I wake up every morning with a mission, and I’m thankful for that. I’m overwhelmed by that, that I am trying to serve people. And first, it starts with my own daughter, my wife, and then I get to then interact with people who are trying to change their lives forever. When you’re in college, when you’re in the educational process, when I’m teaching in K through 12, those young people in particular don’t have the vision yet to understand the path that they’re on. But in particular college, even though some of those people have been forced to go to college, they are there and they’re trying to change the trajectory of their whole life, and to play a role in that is a gift, and I have to treat that with care. And so I wake up every morning just trying to figure out how in the world can I help that person on their educational journey. And that’s all I want to do. And so I’m in a sweet spot where I can do that every day and make a living. So I’m superbly thankful for that. So for me, in general, I’m always trying to make quantitative spaces better for everybody, because better quantitative spaces lead to better quality of lives. And so across so many different levels, if you see me, I’m either with my family, or I’m playing pickleball, or I’m trying to make quantitative spaces better for people for better quality of lives.

Rebecca: …sounds like a good balance.

Aris: Yeah, that’s right. [LAUGHTER] That’s right.

John: Well, thank you. It’s great talking to you again. And again, we really enjoyed your work here back in January during your visit.

Aris: It’s a pleasure. Thank you.

Rebecca: Thank you so much for your thought-provoking ideas.

Aris: Oh, you’re welcome. Thank you for having me.

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

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

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382. The Demographic Cliff

The number of high school graduates in the U.S. is expected to decline for several years. In this episode, Peter Ghazarian joins us to discuss the experiences of higher ed institutions in Korea and Japan, which have recently experienced similar reductions in college enrollments. Peter is an Associate Professor of Higher Education Leadership in the School of Education at SUNY Oswego. He has worked in international education in the US, UK, Germany, and Korea. Peter’s work focuses on higher education, leadership, public policy, multiculturalism, and human migration. He is the author of a very recent article on higher education and an aging population in the U.S.

Show Notes

  • Ghazarian, P. G., Bhandari, B., & Chen, S. (2023). ” It can be chaos here”: International Student Experiences of US Higher Education during the COVID-19 Pandemic. Journal of Comparative & International Higher Education, 15(1). 33-34.
  • Ghazarian, P. G. (2025). Higher education and an aging population in the USA: learning from the experiences of Korea and Japan. Perspectives: Policy and Practice in Higher Education, 1-7.
  • Grawe, N. D. (2018). Demographics and the Demand for Higher Education. United States: Johns Hopkins University Press.
  • School of Ocean Futures, Arizona State University

Transcript

John: The number of high school graduates in the U.S. is expected to decline for several years. In this episode, we discuss the experiences of higher ed institutions in Korea and Japan, which have recently experienced similar reductions in college enrollments.

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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 Peter Ghazarian. Peter is an Associate Professor of Higher Education Leadership in the School of Education at SUNY Oswego. He has worked in international education in the US, UK, Germany, and Korea. Peter’s work focuses on higher education, leadership, public policy, multiculturalism, and human migration. He is the author of a very recent article on higher education and an aging population in the U.S. Welcome back, Peter.

Peter: I’m very glad to be here. Thank you.

John: Today’s teas are… Peter? Are you drinking tea?

Peter: I am drinking tea. I’ve got a spearmint tea here

Rebecca: That sounds nice and refreshing. I have a Lady Grey today, John.

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

Peter: I love a good ginger tea. I’m always in favor of that.

Rebecca: We invited you here today, Peter, to discuss your article, “Higher education and an aging population in the USA: learning from the experiences of Korea and Japan,” which was first published on January 5 of this year. Fertility rates have been declining in all the industrialized nations, and the number of high school graduates is expected to reach a peak in 2025 followed by a gradual decline. Have some US regions already been experiencing this decline in college-age populations in response to internal migration patterns?

Peter: Yes. So we hear all the time about this demographic cliff that’s coming, that’s going to have a profound impact on higher education in the United States. And for quite a bit of time, I just felt like it may just be scare mongering, because I hadn’t really looked at the data directly myself, and it almost seemed as though it might just be an excuse for structural change in higher education, a way to justify changes people already wanted. But then I decided to dig a little bit deeper, and I saw that there is some pretty profound change coming, especially in particular regions of the US. So in the northeast and in the midwest in particular, we’re seeing a lot of internal migration to the south and to the west, and a lot of urbanization that is kind of hollowing out rural areas that play host to a lot of these smaller, tuition-dependent higher education institutions that really put them in a vulnerable position.

John: So, in this study, you’re comparing the US experience with that of Korea and Japan. Could you talk about why you selected Korea and Japan as a basis for comparison?

Peter: Sure, absolutely. So there were really two major reasons why I decided to go with Korea and Japan. One is that they’ve already experienced this phenomenon. It’s been going on there already, and so it’s an opportunity to kind of peek into the future of what it might look like further down along the line, and the types of things we might want to prepare for before this is upon us. And then the other reason is just because I spent so much time there, a good 7, 8, 9 years in Korea working in higher education, and I realized that a lot of the things I was hearing here kind of echoed what I was hearing at faculty meetings and in press releases at my former institutions, since it kind of tickled something inside me like, wait a minute, I’ve heard this before, and it inspired me to go and look back at exactly what had been going on.

Rebecca: You kind of mentioned that Korea and Japan have been dealing with these issues for a bit of time. What was their experience like? Were those institutions closing? merging?

Peter: Well, I mean, they’re still dealing with it now. They haven’t really solved the issue of a very low birth rate, and the impact that it’s had on higher education has primarily been a push towards mergers, and that, I think, has been facilitated by a number of environmental characteristics in those places that is helpful and conducive to the merger of higher education institutions, just because they’re much more dense in terms of the population distribution. There isn’t nearly as much land as there is here, and very large populations, and so even with population decline or population aging in certain areas, there’s still a relatively large number of people within a certain range around particular institutions. And so mergers become much more feasible, because if there isn’t enough to support two institutions, if we bring them together and make one, we should be able to get by. And so, yeah, I would say mergers by far have been the most common response in both Korea and Japan. Though Korea has had its fair share of closures as well.

John: In your paper, you talk a little bit about the types of mergers that were occurring in Korea and Japan. Can you talk a little bit about that?

Peter: Yeah, so I mentioned earlier that there were some characteristics that help to allow these mergers to go forward, and one of them is some of the patterns that we see in ownership of the higher education institutions in Korea and Japan, because there was such a boom in higher education not so long ago, like in the past 50 years, a lot of these institutions are actually owned by similar groups or similar individuals or families, and so they would successfully establish a four-year institution and then want to open a polytechnic or a trade school of some kind, or what we would call a community college, but there would be called a junior college, and that made it very easy. If the same group of people own both institutions and they realize both are struggling, well, we’ll cut out some of the overhead costs by merging these together. And there was also some policies in place from the government that sort of pushed these institutions to do this as well, because the governments in both Korea and Japan wanted to preserve a certain amount of stability in their higher education systems to prevent what people might perceive as collapse, and so there was a kind of gradual, gentle pressure to merge institutions over time that seemed to be helpful towards getting this done.

Rebecca: So what are some of the factors that affected the likelihood of institutions in Korea or Japan to survive these demographic shifts?

Peter: I would say that the major sort of elements that played into whether or not an institution could survive were: their location, rural institutions were particularly vulnerable; their size, smaller institutions struggled more; and then their focus, comprehensive four-year institutions tended to fare better unless they were both rural and very small, those institutions were very vulnerable. It was like a combination of those things. If you were rural and remote, you’re in trouble. If you’re rural and very small, you’re in trouble. The other was the focus, four-year institutions tended to be all right. They tended to do okay, because what we started to see in Korea and Japan is that as there were fewer and fewer people applying for admission, it was easier to get a position at a four-year institution, and that a lot of these two-year institutions were almost overflow in the past, where they would take on students who had wanted to go to a four-year institution but weren’t able to get admission, and so they settled for a two-year option before moving into the workforce. But now, because there weren’t as many students applying, institutions were more willing to take on these students who otherwise may have gone to a two-year institution, which left two-year institutions really struggling to get a sufficient number of students to be able to support themselves.

John: And as you noted with internal migration decisions in the US, with people moving to the south and west and moving away from rural areas, we’re already seeing some colleges being hit. What are some of the ways in which US colleges have dealt with this, or perhaps failed to deal with this?

Peter: I would say that the institutions tend to take three different sort of outlooks to this issue or this problem of demographic cliff that they see coming. Some institutions are trying to really cut back to reduce costs, and they use it to justify changes they make at their institutions, which can be unsettling to faculty. I’ve seen, for example, programs merge or programs close where even tenured faculty have lost their positions as a result of this sort of hard-nosed approach that’s being adopted by some administrations, and then it’s justified through the need for cost cutting in anticipation of these changes that are going to be coming to the institution. Another approach is a sort of like plug your ears and whistle. Some institutions have just really been kind of hoping for the best in the long run, and this might have an impact on others, but it’s not going to have an impact on us, and they’re just kind of going forward with business as usual. And if the reputation of the institution is strong enough, then they are likely to come out all right in the end, because while there might be some displacement in terms of who had gone there before and who goes there now, in the end, their situation isn’t going to change that much from what they’ve experienced in the past. And so it’s understandable why they would kind of take this sort of rose colored glasses approach to the situation. And then finally, we’re starting to see some institutions who realize that they’re going to need to change, but they’re not exactly sure how. And so they’re kind of preparing themselves to be able to change. They’re communicating out to faculty, to staff, and to administrators, that there are challenges coming at us, and we’re going to need to be able to make some changes to how we do things. And so they’re starting to instigate, for example, new thinking about how programs should change and how the structure of the institution might need to change, and really encouraging, internally, people to prepare themselves for doing something different so that they can survive in a new environment. And so I would say that’s sort of the third approach, the getting ready approach. The first is really all about cutting, the second is, “Just forget about it. It’ll be okay,” and the third kind of priming the pump, if you will, for future change that is going to need to happen in higher education institutions.

Rebecca: You noted there are some landscape differences between the US and Korea and Japan in terms of population density and literally the amount of land in different spaces. But can you talk about what we can learn from the experiences in Korea and Japan and ways that we might move forward here?

Peter: So I came into this thinking that there would be clear takeaways, but instead it left me feeling a little nervous about the situation in the United States, because in Korea and Japan, you had a highly interested government that was pretty deeply involved in maintaining the stability of higher education, whereas in the United States, the government is much more remotely involved. They’re not really directly getting into the nitty gritty of the provision of higher education within the country, they’re only really indirectly a part of what’s going on. And the good will that we see between higher education in Korea and Japan and the government doesn’t really exist here to that same extent. And so we don’t have someone looking after us…

Rebecca: …like a safety net…. [LAUGHTER]

Peter: …yeah, a safety net. And so the government in Korea and Japan, they created policies to make mergers more smooth, and they would use Ministry of Education reviews of higher education institutions to make adjustments to quotas for students at institutions to reduce the impact of demographic decline across the board, so that was more shared, but also so that institutions that scored lower on ministry reviews of their institution, or institutions they believed to have a lower quality were kind of cut off over time from this pool of students, so that there was a gradual change as time went on. But we don’t really have that here. It’s much more… it’s a free market, and people go where they want to go, and that can be really destructive, and it can bring a lot of change from one year to the next year, where institutions expect something, and then all of a sudden they just don’t have enough students to keep going on. And so the other sort of element of it is that there’s a positive public opinion of higher education in Korea and Japan, the sense that it’s a public good that we need, that we can’t live without, and I feel like people are questioning that here in the United States, and so we don’t have that same level of public goodwill to rely on as well. The one exception to that that I have is that there’s a strong connection between alumni and the institutions that come from here in the United States. So we do see some cases where alumni are sort of riding into the rescue, like Sweet Briar College, where alumni came together and donated to keep the institution open, to prevent it from closing. And so we do see some of that grassroots support coming from people who have a personal connection to the institutions. But I would say that that’s going to be the exception, rather than the rule. It’s just, I mean, alumni, you can only ask so much.

Rebecca: Yeah, that’s great news. When I was reading your article, I was like, “Oh, yeah, okay…”

John: One way of addressing this, and many institutions have been, is that we’ve had a lot of underserved populations in the US, people from low income communities, people who are first-generation college students and students from historically underrepresented groups have much lower college attendance rates, and this is a period of time when the rate of return to higher education is the highest we’ve ever seen in the US. But there may also be some political issues there, because in order to bring in some groups from lower income households, it does require larger amounts of subsidies, and we’re not seeing that same sort of increase. In this political climate, do you see that as being very likely as perhaps a way of expanding the reach of higher education and perhaps improving our rates of intergenerational income mobility?

Peter: Yeah, I would say one of the unique sort of opportunities available to us here in the United States is the fact that we have these large pools of people who maybe traditionally haven’t taken part in higher education, and as a result of which we can kind of cater to bringing in new people into higher ed, bringing in first-generation students, and it’s good for institutions because they can better respond to the fact that they don’t have as many applicants as they had in the past, or they don’t have as many students as they had in the past, and it allows them to support themselves. And it’s good for the students, because, as you mentioned, it opens doors economically to new sort of opportunities available within the US economy and different lifestyles within different social classes. And so I would say that, yeah, absolutely, that there is this unique opportunity here in the United States, but there are certainly challenges. The programs that are designed to help us with retention and to making adjustments to the way that we do things in higher education to be more responsive to the needs of students who are coming from a first-generation background are the very programs that are under threat now with the change that we’ve seen politically within the United States. And so this lifeline that we had is at real risk now because all of the effort that we’ve put into making higher education a more open and welcoming place to people coming from backgrounds that traditionally didn’t take part in higher education may feel less welcome as a result of a lot of these programs being shut down. In fact, I’m working on a study now on the impact of DEI programs having been made illegal in the state of Texas, and how that’s impacted the student experience there. And so I’m very interested to see what sort of results we get from that study. But I have a feeling that it’s not going to be all good news.

Rebecca: One of the other areas for potential enrollment growth that’s been discussed quite a bit in the US is the admission of more international students. There’s a lot of desire for international students to get US education, but you note that the political climate has become less welcoming. What’s the future of this looking like right now?

Peter: And this wasn’t true, not just in the US, but also Korea and Japan sought to attract more international students. They saw it as a potential way to respond to declining numbers of domestic students and provide support to institutions, and some institutions were quite successful in being able to draw international students. I wouldn’t say that higher education across the board really succeeded in Korea and Japan, but there were some key institutions that really excelled at this, and it became a niche for them that allowed them to sort of weather the storm. Here in the United States, I would say that we’ve always been a top choice destination for international students around the world. And so it’s pretty clear that we could rely on this, or it was pretty clear we could rely on this in the past, but what we’ve seen is that there was kind of an unfortunate mix of developments that occurred within the country that have made us less attractive as a destination. The first of which that comes to mind would be just COVID-19 really tarnished the image of the United States, just in the response and in a sense of sort of chaos that students felt while they were here in the United States. That they communicated back home, a sense of lawlessness, almost in the country, that this is a place where people don’t follow the rules and where there isn’t sort of a clear, organized response to issues or problems as they emerge, and that was very bad [LAUGHTER] for U.S. higher education, just because that type of damage to a country’s image is very difficult to come back from. It lingers. It’s almost generational change when people shift in their view of a particular country, and so that plays into decisions around where to go to study. And then the other you sort of alluded to is political change, and I don’t think it’s as simple as just a shift in administration, but we’ve witnessed in the public discourse a real change in how people talk and think about people who are coming to the United States from other countries, and people feel that, they feel that they hear it in the discourse. And you know when you’re not welcome, you know you’re visiting someone’s house, and you hear them talking about you in the kitchen, and they’re not saying nice things, unless you really, really want to be there, you’re just less likely to stick around. And I think that that has really contributed as well to this decline we’re seeing in the numbers of international students who have come to the United States. And so again, there’s always going to be institutions that because due to their reputation or due to their location, are still going to draw on a large number of students. But it’s not going to be a safety net for institutions who are most vulnerable to this decline, places that are located in rural areas or who are specialized in a particular academic area, or institutions that are very small, these are the places that are the least likely to attract international students, and so it’s just not a good solution, or it’s not the solution that many had hoped that it would be, at least at this time.

John: One other thing you talk about in your paper a little bit is shifting the focus of the course offerings and the focus of the programs offered by institutions. Can you talk a little bit about how that’s been done in Korea and Japan, and whether institutions here are already starting to do this a bit, and perhaps, might that be a way of maintaining the relevance and the strength of a larger proportion of higher ed institutions?

Peter: I think institutions are still trying to figure out how they can change the curriculum to make them fit into the society that we live in. And we see pressure on institutions coming from the labor market and then from this new discourse around accountability for institutions in terms of student outcomes in the labor market. And it makes me a little nervous, to be honest. I’m not sure that it’s necessarily a good thing, and in Korea, at least, I don’t know about this as much in Japan, but in Korea, we saw things like funding for our departments being tied to the percentage of students who were full-time employed with benefits a certain amount of time after graduation, and that funding levels for departments would shift to the point that even positions could go away. If you cannot provide successful employment outcomes for students, then the justification for that program or for those positions might go away. And so that created a lot of discomfort among faculty and among administrators who really felt the squeeze in terms of everything we do has to be targeted in some way to a particular job, and we need to be preparing students in some way for work. Everything we do has to be focused on getting students ready for work. And I think that that’s disruptive and not helpful for higher education. I think that those things are absolutely very important, but that they fly in the face of the mission of a lot of higher education institutions, and that there’s a real danger of losing touch with the original purpose of these institutions. And so I would say that I think I much more appreciate the efforts to just prepare people for change without necessarily knowing which direction we’re going to be headed, because otherwise, some of this is [LAUGHTER] quite disruptive and it’s destructive as well. It makes me a little bit nervous.

Rebecca: Given your experience, what role do you see faculty playing in shaping the future change that needs to come?

Peter: Well, in some places, we are seeing faculty taking a more proactive role in creating new programs and to creating even new schools. So I don’t know if you’ve heard much about, I believe it’s Arizona State University, they have, like a School of Ocean Futures and some pretty new sort of ways of organizing what the programs that are available at the institution with a clear focus on the future. So that they’re hopeful that students that come out of these programs are able to find a place in the future world, at least as they envision it. And so I think faculty members who sort of take the lead in this work and help to sort of reorganize higher education around what might be needed in the future, they have a role to play there if they’re able to do that. But in a lot of cases, faculty members are very resistant to any sort of change, and so, in fact, they’ve kind of become antagonists to any of this work. And I understand that. Higher education looked a certain way for a very long time, and that’s what people sort of envision it’s going to continue to look like in the future, and they are cynical about any sort of changes that others are trying to impose on higher education, and maybe rightly so.

John: And one of the ways, I think that we’ve seen that in the wider universe of colleges and universities is gutting some of the traditional liberal arts departments and majors. We’ve seen some schools give up music departments or give up art departments, or art history, or sometimes seriously cutting back on history or math and other areas. I gather that that’s something you probably would not advocate for as part of this transition to the future.

Peter: Liberal arts institutions are the greatest threat is the reality of it. So the institutions that we’ve seen closing in the Northeast in particular have been small liberal arts institutions, and so I am very much in favor of the mission of these liberal arts institutions, personally. But if people aren’t going because that’s not what they’re looking for in higher education, then the problem we have isn’t with the programs we’re offering. There’s a program with what people perceive as being valuable in the society and how social values have changed over time, that people aren’t interested in learning about music and they’re not interested in learning art, and that’s, to me, is terrifying, [LAUGHTER] but it’s the reality of what we’re seeing in terms of demand is that people want this very clear economic benefit as a result of attending higher education, and if they don’t see a clear one-to-one correlation, that they tend to be more dismissive of it as something that’s not necessary or something that they don’t need, which creates a lot of this pressure, and it’s used to justify things like gutting out some of these programs like you mentioned. I think higher education has grown dangerously sort of disconnected from public life, and that people see higher education institutions as something that’s very removed and something that’s stuck in the past and something that isn’t really tied to sort of public opinion and the public discourse, and that puts us in such a dangerous position, and so that really, really makes me worry about the future for higher education, because there isn’t a clear vision about where do we fit in the society of the future, what role do we play? And we’re becoming increasingly vestigial, almost, in the way that people talk about and think about higher education, in a way that leaves me very worried.

Rebecca: That seems like the critical difference too, that you identified in your study, really between the differences between Korea and Japan too, right? Is that really how it played out?

Peter: And even at a personal level, I could feel the difference working in higher education as a faculty member in South Korea. In society, I was awarded a certain amount of respect from anybody who learned that I was a professor or a faculty member, and people would seek out my opinion or seek out my participation in programs in a way that I just don’t see here in the United States. In a way, when people learn I’m a professor in the United States, their response is very different from in Korea, and that was sort of a warning bell for me in terms of, this is how they see higher education here. It’s very different from what I had experienced in other settings.

John: And on that cheery note… [LAUGHTER] you had mentioned the shift out of the Midwest and the Northeast into other regions of the country. So what types of differences do you see between the experience of the Midwest and the New England region in terms of the response to these shifts?

Peter: So I would say that the sort of the major difference that we see between the Northeast and the Midwest is that in the northeast, there were more successful mergers, and that has to do with the fact that there is less distance between institutions in the northeast, it is a little bit more densely populated, and so oftentimes the institutions that were having trouble were able to reach out to neighboring institutions, especially smaller institutions, would reach out to larger neighboring institutions, and they were able to come to some sort of agreement where they would merge. There’s one exception to this in the Northeast, where two similarly sized institutions, neither of which were struggling, this was Berklee College of Music and then the Boston Conservatory, they just spoke with each other and decided we should share these overhead costs that we’re dealing with, and we’ll become one music institution within Boston, and otherwise, it tended to be smaller institutions that were struggling reaching out to larger neighbors and getting some help and becoming a part of that larger neighbor. And oftentimes they would fill in sort of an area of relative weakness within that larger institution. Something that comes to mind, for example, is Wheelock College joining Boston University and becoming sort of the specialized college in education and human services within Boston University. And so there were some pretty happy stories there about mergers working out. It was more remote, small liberal arts institutions in the Northeast that were the most likely to close, and that contrasted a little with the eastern Midwest, where a lot of the times we saw religious affiliated institutions were the ones that were struggling. There were quite a few Christian colleges that weren’t able to find a way forward. And in terms of the mergers that we saw, they tended to be highly specialized institutions that were sort of gobbled up by neighbors that didn’t have a program or any offerings in that area, and saw it as an opportunity to expand out what they offered at their institutions. So the stories were pretty similar, but there were some differences in terms of the success rate of mergers and the types of institutions that were struggling in those different regions.

Rebecca: Well, with all that good news today, we always end by asking, what’s next?

Peter: This was a very, sort of a zoomed out look at what’s going on here in the United States. And I think that there’s some real value in taking a closer look at the stories of these institutions, those that do end up closing and then those that are able to make it through. And so I’m hoping to do a series of comparative case studies looking at institutions around the Northeast. There’s even one that’s quite close to us here in Aurora, New York. I think it’s Well’s and so I’m hoping to take a closer look at some of these institutions and their stories but haven’t decided the exact sort of focus I want to take. But part of me wants to look at the impact on the local economies of places that do close. What’s the sort of impact that we’re seeing on the people that live around the places where these institutions used to be located, and the places that do succeed, what role did their relationships to their local community play in their ability to kind of make it through and so I’m still in the brainstorming phase there, but this is something I’ve been thinking about doing.

John: Well, thank you. This has been such a cheery conversation, but it’s one that all institutions have to address, because we are going to be coming up to some really challenging times, and if higher ed institutions are to survive, they’re going to have to be a little bit creative and maybe more flexible in terms of addressing the changing environment in which we’re living.
But studies such as this, though, can perhaps give us more information about what paths have been successful. So thank you, and we’re looking forward to hearing your future studies.

Peter: Thank you, and thanks for having me on.

Rebecca: Yeah, thanks for the zoomed out look. I think that’s helpful for everyone to get a good grasp on what the landscape really looks like and how it does compare to some other places.

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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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380. Chatbots to Support Learning

Generative AI tools have made it easy to create custom chatbots. In this episode, JeVaughn Lancaster joins us to discuss the process of creating chatbots and some potential uses in higher education. JeVaughn is the Manager of Instructional Design at Lynn University. JeVaughn’s work using generative AI to support effective course design resulted in a Best in Track award at the 2024 OLC Innovate Conference. Some of her more recent work on this topic was presented at the OLC Accelerate Conference in November 2024.

Show Notes

Transcript

John: Generative AI tools have made it easy to create custom chatbots. In this episode, we discuss the process of creating chatbots and some potential uses in higher education.

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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 JeVaughn Lancaster. She is the Manager of Instructional Design at Lynn University. JeVaughn’s work using generative AI to support effective course design resulted in a Best in Track award at the 2024 OLC Innovate Conference. Some of her more recent work on this topic was presented at the OLC Accelerate Conference in November 2024.
Welcome, JeVaughn.

Jevaughn: Hi. Thank you for having me. I’m so excited to be here.

John: It’s good to see you. I saw you at your session, which is what resulted in this invitation. So we’re really glad to have you join us. Today’s teas are:… JeVaughn, are you drinking any tea?

Jevaughn: I actually do have tea. It’s been my heart and soul for the past couple weeks, I should say. It is a ginger honey tea, but I added a splash of soursop. I don’t know how to explain what a soursop is. So you can drink just that one. [LAUGHTER]

Rebecca: …sounds good. I have a London Strand breakfast.

John: And today I have a Darjeeling tea.

Rebecca: So, today we invited you here to discuss your work developing GPTs to serve as chatbots that support faculty. Can you start first by describing what a custom GPT is, or maybe even what a GPT is? [LAUGHTER]

Jevaughn: Oh, yes, that is, I feel, the perfect way to start before we talk a little bit deeper in what a custom GPT is. GPT really stands for generative pre-trained transformers, and a lot of people really get that confused. But when we say generative, that’s exactly what it does. It generates content based on a multiple of things, like patterns, responses to questions. A lot of people know ChatGPT as the essay writer, [LAUGHTER] lo and behold, but that’s really generative. So it generates things. Then when it gets into the pre-trained aspect of it, it is trained by a huge data set of information that people feed into the GPT. So every time somebody enters a prompt, it continuously trains it and builds that data set to be a little bit bigger. And then the transformer part. I like to always say that the transformer part is like a multitasker, so it puts all those little data bytes and pieces together to analyze it. So it’s almost like using a learned language. It identifies a variety of patterns, and again, like I said, it’s a multitasker. So it brings in all of these bits and pieces of information and then generates the response to your prompt, making it a GPT. So with that said, a custom GPT is really dedicated to a specific task of something that you do often on a daily basis, that you just want to make your life a little bit easier so you want to customize something for your immediate needs. So I really think that’s what a custom GPT could be, in a nutshell.

John: So in order to create one of these custom GPTs, you do need a paid chatGPT account, and initially to use one, you needed a paid GPT account, but that’s changed. Are there any restrictions on the use of GPTs that others create for free users?

Jevaughn: Yeah, you’re right. So before, when someone created a GPT, in order to share that, the end user would also have to have that paid subscription. But now with the updates, it’s so easy, because what happens is that the paid user can create a GPT and then share that and as long as you have an account set up, a username and password, it doesn’t necessarily have to be paid, you’re able to then use that customized GPT.

John: So that means that instructors can create GPTs for their students, and people in professional development roles can create GPTs to share with their faculty, which is what you were presenting on there.

Jevaughn: Exactly, and I feel that it makes everything so much easier, because you have those that are really into it, and they’re creating all different types of customized GPTs on so many different topics. And then those that may not be as great with technology that they’re not really able to put these things together. However, it’s so easy to use by adding in those prompts, it’s already built and customized for whatever it is that they need, so it really makes life a little bit easier. Now, there are a couple things that a free subscription might struggle with, even when using a custom GPT, and there are a few restrictions that they have. So, for example, tokens, they won’t be able to submit as many prompts as someone else with a paid subscription. Or if there are bandwidth issues, if there’s a lot of people using ChatGPT in one instance, someone with a free account may struggle. They may have a lot of slow responses to their GPT.

Rebecca: At OLC Accelerate, you provided a presentation on creating GPTs? Could you describe the process of creating a GPT?

Jevaughn: Absolutely. Oh, my goodness, that’s the fun part. And I think a lot of people feel that it’s a lot more difficult than it really is to do. It’s so simple. So when you’re logged into your ChatGPT account, there’s a little button on the left side that says, “Explore GPTs.” Once you click on that, it’ll open up this toolbar, and on the right side, you click on it, and it says “Create.” And it has a list of prompts that you can follow along to really help you build your GPT. It’s going to ask a description. So there’s where you say this is what this custom GPT is going to do. You can keep it short, sweet and to the point, because it is what it is, it’s the description. And then after that, it’s going to ask you some instructions. So what are you going to instruct that GPT to do? And this part is really important, because it’s almost like guiding the GPT on what to do. You’re training it. And just like any other GPT model, you have to train it and you have to fine tune it and customize it to fulfill your needs. So because of that, you want to add in things like, if you’re building rubrics, what are those specific criteria that you want if you ask it for a rubric, if you’re using it for grading, you’re going to want to have to put in those specific details: “Well, I don’t want my feedback to be more than 100 words,” or “I want it to be in a nice tone.” You really have to give it these specific instructions so that your GPT will give you the output that you’re really looking for. So after you do the instructions, there’s a section called knowledge, and that part is really important, because there’s where you can do things like upload specific documentations that you want your GPT to pull from, and that’ll give you more straightforward responses. So rather than ChatGPT searching random articles or information that it finds on the internet, it’s going to first go by the knowledge you provided. It’s all part of the GPT training. So for example, at OLC, we created a GPT that was almost like a teacher’s assistant. And it was important because we found that a lot of faculty members struggle with learning objectives and how to create it and align it. So with that, we took the Bloom’s Taxonomy chart, and there’s some people that still like the old Bloom, some folks like the new Bloom’s. Then there’s the digital Blooms. So to make everyone happy, we uploaded all three [LAUGHTER], so there’s no discrepancy at all. And then there’s many specific things that you can also add in. So if you’re looking for things that have to do with universal design for learning, you can link to the UDL page from CAST. There’s so many things that you can do so it can give you that information that you want when you ask it as a prompt. So all of that is going to be built out into the knowledge section. So you’re building something that you can utilize to help you with your information. If you are conducting research, or if you’re using it to help you with research, you can link specific databases that you would use so you find those peer- reviewed articles. There’s so many things that you can do to train it, and then, hey, if you find out something’s not working, you can edit it and fix it and go back. [LAUGHTER] So after you finish adding your description and giving it your instructions, you can then also give it some talking points. You know, when you log on to ChatGPT, sometimes it’ll give you four different options. You can add in question prompts. You can do that, and then you can say, “Okay, now that we’re done, what are we going to name you?” And it’ll offer you suggestions for a name, it’ll offer you suggestions for an icon image, and you can generate it, save it, and you have your custom GPT. [LAUGHTER] Again, it’s a lot easier to accomplish than it seems.

Rebecca: I know it sounds so intimidating at first, like, make a custom GPT is like,” Ah, I’m not qualified.”

Jevaughn: Yeah, it does. It does. And then when you get into it, it’s just like, “Wow, I really just did that all by myself,” [LAUGHTER] and you can customize it down to how it’s responding to you. I have a friend and a colleague that has it sound like a Southern belle every time it responds to them. It’s amazing, the things that you can do with your GPTs. You can really customize it and personalize it.

John: And it’s really no more difficult than just interacting with ChatGPT in other ways. When would you use a custom GPT rather than just interacting directly with ChatGPT?

Jevaughn: I think if you want specific tasks done, because there’s so many times when you are working with just regular ChatGPT, you have to prompt after prompt after prompt until you really get the output that you want. If it’s a task that you’re doing 10 times a day, it’ll be more stressful sometimes, I think, in my opinion, to continuously prompt to get things down to right where you want it, rather than have this custom GPT that I can upload an assignment that I just created and say, “Hey, can I have an analytical rubric off of this and it’ll just give me the output that I need immediately with one question.

Rebecca: Are these custom GPTs less subject to hallucinations?

Jevaughn: I think so. I think that they really are, because once you feed it that information, and once you feed it that knowledge, it’s always going to pull from there first. Now, there’s something that I have noticed, when a lot of faculty members try to look for content, it’ll definitely hallucinate a lot of links. So a lot of the links are always, I feel, fictitious. You would click on it, you’d get the 404 code. You’ll get “this video no longer exists. However, if you actually search for that author, you’ll find it, 9 times out of 10 you’ll find it. So I feel that it’s definitely reduced the amount of hallucinations. And then in your custom GPT also, if there’s a database that you frequent that some people will link it to Google scholar or something that may not be behind a paywall, you’ll be able to go right to it as well. Or I’ve even suggested that with those links and titles that the GPTs might give you, log into your institution’s library and see, 9 times out of 10, you might find it there too. So yeah, in my use I’ve noticed that it reduces hallucinations.

John: Going back to your earlier response, where you suggested that it’s good for things that you might dorepeatedly, you’ve also suggested that it could be good if you want to create something that you share with others. So could you talk a little bit more about how faculty have responded to the GPTs you created to assist faculty? Have many faculty been using it, and how have they reacted to it?

Jevaughn: Oh, my goodness, my faculty absolutely love it. [LAUGHTER] They love it. And then also they’ve had suggestions to take it to the next level. It’s incredible. So first and foremost, I mentioned those pesky learning objectives. For whatever reason, it’s hard for a faculty member to think about alignment in the sense of using those specific words. They’re definitely experts in their own areas and maybe teaching and pedagogy is not one of them, so sometimes it could be a little bit more difficult. So one of the main things that all the faculty love is those learning objectives, because they can say, “Hey, I need this aligned properly.” Now, one thing that I did receive was that some faculty members noticed that when I first created it, they noticed that it wasn’t aligning to the correct course level. So maybe a 100-level class was getting “create” or something in the higher levels of objectives. So I had to go back in, I refined the GPT and say, “Hey, if a faculty member asked for 100-level, I want it to align with these levels of Bloom’s. And if it’s a 400 level, I wanted to align with these levels of Bloom’s.” So then once you regenerate it and you save it now, hey, as soon as somebody reopens the link, they’re getting all of those updates in real time, so now they’re able to help with their alignment a little bit better. So their suggestions really come in handy. I appreciate it. I listened very carefully at those.

Rebecca: Can you talk about some productive uses for GPTs to support instructors and students?

Jevaughn: Yeah, definitely. So for faculty members, I already mentioned those rubrics, there’s rubrics, and that’s such a time saver right there, because I know that that’s really my pain point when it comes to course development. So yeah, there’s a lot of things that faculty members and students can use customized GPTs for. So, for example, I’ve seen a lot of faculty members use it to create lesson plans. We have two and a half hour block scheduling, and there’s many times where some faculty members teaching four classes in a block, it’s tough sometimes for them to make sure that they have their daily lesson plans. They create timed daily lesson plans to keep them on track for their two and a half hour block. Quizze, is straightforward. You can upload a PDF chapter and say, “Hey, can you create me a quiz with 20 questions?” And you’ll be able to get those and of course, you’ll have to tweak them a little bit. I would never say, to take whatever it is that a regular GPT or a customized GPT, and just copy and paste and put it in your class. We don’t want to do that. As educators, we always want to fact check anything that any type of AI gives us. But again, it’s a time saver. You want to help save your time and your brain power to do tasks that will more benefit the students than staying and creating rubrics. [LAUGHTER] Discussion questions is a really big use case, and I’ve seen faculty members do this for both asynchronous and face-to-face classes. For the asynchronous that’s really self explanatory, but for the face-to-face classes, I’ve seen it really help the discussions flow nicer in the classroom, because now, if the faculty member is discussing an article or a chapter, they take that same article, run it through ChatGPT, and they ask for discussion questions. And it really helps enhance the course, because they get brand new course discussion questions every day, or if they’re teaching it multiple times throughout that block, each class has a different question and a different discussion, which really, really helps. Feedback and grading, I already talked about that. A big use case is accessibility needs. Now accessibility is growing, and UDL, we preach all the time, and there’s many times where you just can’t figure out how to make an assignment accessible, but you can get those suggestions from ChatGPT as well. Now, on the student side of it, it’s awesome because students can use it as tutors. And I know that I was telling them at OLC that I created a custom GPT for my son in math, and it’s just an adaptive learning so it’ll provide, depending on how you create it, the one that I have will provide multiple questions, and he’ll have to answer it, and if he gets it wrong, it’s adaptive. So it’ll break the question apart and say, you got this part correct, this part correct. But let’s focus more on this step, and it’ll take him on a step-by-step journey. And then after he completes 20 questions, he gets a report, a spreadsheet saying all the ones he got correct, all the ones he got incorrect, and it showed him the steps of where. So really good for student tutoring. Another thing is research help. It definitely is great for students. I’m a dissertation chair myself, and I help the students use AI to leverage their work. So I just had a student that had Zoom focus groups and interviews, so the ChatGPT was able to transcribe the audio, it was able to create pseudonyms for each attendee, so it’ll help the privacy, and it was able to pull out themes, so now the student is able to spend that brain power on other parts of the research and that content really and not spend hours of time trying to transcribe items. It’s really interesting, and I feel that this is just the tip of the iceberg. There’s so many things, so many different use cases that all of these GPT models can do.

John: In terms of creating a tutor, one of the first things I did after seeing your session was I created a tutorial for my intro micro economics course, because the book I’m using is tied to an OER textbook. So I could upload the whole textbook to it and ask them to use it, and also have it ask students initially, what they know about the topic, ask them what they have questions about and then have them ask their question, but then guide them to an answer, rather than directly answering the question. And it works remarkably well. And because it’s trained just on the textbook that I’m using, I haven’t seen any substantial hallucinations. And so far, it’s been working well.

Jevaughn: It’s incredible when you’re able to really dive so deep, to be so specific, and accomplish those things with AI. And I mean, I can even say after one of the faculty members created a GPT focusing only on assignments, so he has the GPT assign students, I think it was like six different research papers, and what happens is that everything is uploaded into that knowledge base, and then from levels easy, mid, difficult, by difficulty, and then once the student enters their name, it will never give the students the same assignment twice, and it will always give the student one of each level of difficulty depending on what week of instruction they’re in. It’s amazing how far and how creative everyone has become customizing these GPTs.

John: Should we be careful in uploading information about our students in terms of personal information? Might perhaps we want to use pseudonyms or something else for students so that they’re not being trained on information specific to individual students?

Jevaughn: Absolutely. Yeah, data privacy is really, really important, especially when we’re talking about students, because we have to be so careful. Remember, anything, especially if you’re not in a paid account that you upload to ChatGPT is then used to train future models and versions of it. However, what I found out is that according to ChatGPT now, both the free version and the paid version allows you to say if you’re okay with sharing your data or not. On the Settings icon, there’s a data control button, and one of the options under data control is to improve the model for everyone. Now, if that is turned on, they’re taking all of the data that you put in and using that to train but if you turn it off, it won’t share your data, and it’ll delete those conversations, so it won’t share anything. Now is that 100%? I don’t know. Who knows? Personally, I don’t 100% trust it, so I don’t feel like I would ever upload actual student data, God forbid, financials or anything like that, but I would still be careful on it, but that’s just an added step of security to turn that off and make sure that you’re not sharing or you’re not giving them the right to use whatever information that you upload.

Rebecca: It also seems like if we’re having students using GPTs in our class, that talking about data privacy and things might be a topic that we might want to cover with our students. You want to talk a little bit about ways to maybe do that with students?

Jevaughn: Absolutely, and I think that really goes with the whole topic of AI literacy. I always recommend to faculty members that, hey, number one, if you’re going through some of these information sessions and you’re learning how to use AI in your classroom and you’re using AI to create those discussion questions, let’s teach the students the proper way of also using AI ethically in their academic work. So I think that a conversation that should be had. I’m sure that high schoolers are already having those conversations. I know that my son, who’s in 11th grade, definitely is with his teachers, but I think that that’s a conversation not only to have right on entry when the students are entering the institutions, but constantly, it should be everywhere. It should be in the syllabus. It should be in that very first class of every semester. You want to make sure that students are aware that whatever it is they upload is fair game unless they protect themselves. I mean, we had to have those conversations with social media also. So I feel like this is just the next layer.

Rebecca: What’s your advice to instructors about disclosing their own use of AI to their students?

Jevaughn: I think it’s important, because I feel that students are really less motivated to use it for non practical purposes. [LAUGHTER] If they know that their instructor is using it as well, they know that their instructor is well versed in the use of AI, they’ll be careful, and they’ll be very focused on their content, rather than putting in a prompt and submitting it. My advice to faculty members is always, “Hey, you can go ahead and disclose that you’re using AI, but also give your students the opportunity to focus their brain power on what you feel is more important.” So my example is that, for me, I’m all about the content. I want to make sure that my students know the content, forward, backward with their eyes closed. I want them to know that, however, if there’s a presentation, go ahead and use AI to create that PowerPoint. I can care less as long as you know that content, you can focus that brain power on solidifying that content and using AI as an assistant for you. And I feel like that would be one of the better use cases, or the better discussion that a faculty member can have with their students rather than saying, edit your paper using ChatGPT.

John: One concern that a lot of faculty members have is that students may be using this as a substitute for learning instead of as an assistant for learning. What can we do to encourage students to use AI to facilitate their learning and not to short circuit that learning?

Jevaughn: Yeah, I think that it will really enhance the overall conversation and relationship between the student and the faculty member, because now the student is able to go off on their own and ask all of these questions of inquiry to their GPTs and then come back to their faculty member, or their professor, and say, “Hey, so I was thinking about x, y, z, and this is what I found.” So now the faculty member would have the responsibility of saying, Oh, my goodness, this is wonderful. Let’s discuss it more, and it’ll help the student boost his confidence, or the faculty member can say “Mmmm, you don’t have that quite right. Where did you find your information? Let’s figure this out now together that you’ve already went out on your own to try to ask the question.” And I feel that these days, a lot of students are lacking that wow moment in their educational career. I think most of us just had a wow moment that’s memorable. It’s always important to make some type of learning memorable, and I think a lot of students are losing that. And I think a lot of students, and maybe even faculty members, are losing that even more with all of these AI, but if we have the ability to let the students go fish and learn on their own without having that negative point against them saying, oh my goodness, I’m using AI, am I a terrible person? Rather than helping the students utilize it the right way. That might just be their moment of making that educational moment memorable for the student, because you’re now on their level in how you can adapt to their educational needs. And I think that’s really important.

John: And our students come in with really diverse prior learning. And one benefit of AI is it provides an opportunity to bring everybody up to a higher level, because it can address their specific needs. It’s available 24 by seven, and it allows students to get help when they need it, where they need it, on the specific concepts and topic they need, as long as they’re not doing that as an alternative to actually learning. So with every aspect of AI, there’s some really strong positives, but there’s also some really serious concerns, and I think we all have a lot to learn about how to use this effectively, but for me, at least, it strikes me as being really silly to try to ignore AI and assume that this is not an issue we need to deal with, because students are going to be working with AI in some form for the rest of their lives, and not preparing them for that world strikes me as being not particularly helpful for our students.

Jevaughn: Yeah, I agree. At this point, we’ve all realized that it’s not going anywhere, it’s going to evolve [LAUGHTER] and move on to so many different things. So we have to be adaptable to technology. AI, it’s updating as we speak. [LAUGHTER] It’s learning more and more as we speak.

Rebecca: And I think that one of the things that really strikes me is that you were pointing out motivating curiosity, and when someone is indicating that they were curious, to not smash it, regardless of whether or not their curiosity led to a correct answer. And I think one of the things that I’ve experienced with students, even prior to the surge of AI is that sometimes when students are asking questions, even when they were just Googling answers, is the way that they were asking the question was where their misconception lies. And so sometimes having inquiries about how they were asking the question, or how they were using AI to answer their own questions could be an interesting way to engage with students, and opening the GPT and exploring with them could be a great exercise to do with students.

Jevaughn: Absolutely and having these types of discussions with our librarians, I found out, and I didn’t know this until maybe right before that conference in November, [LAUGHTER] that actually, when you’re working with APA and student writing, it’s an APA requirement that the student attach the entire conversation with the GPT as an appendix. And that part I didn’t realize. So if the student puts in their paper and say, I want this. I want that, they have to include every word of it so they can’t delete those conversations. I was floored by that. I had no idea. I’m like, well, that’s interesting. I never knew that APA required that, but according to our librarians, they do,

Rebecca: But also not a bad thing for faculty to request. Sometimes, if we’re asking students to use AI or use a GPT as a way to get to an answer to use as a learning tool to show their work, it’s something they can save. [LAUGHTER]

Jevaughn: It’s true, and most institutions use tools like Grammarly, and I know that a lot of our faculty members require students to check their work through Grammarly to make sure that the grammar and punctuation. But then there’s the new Grammarly, where it does just that. It records every keystroke that the students are typing to say, “the students typed this,” this part came from AI, this part was copied and pasted from this website, and all of the rest of it seems to be human text. And then the students can create a share link and share it with their instructor, and you see it in real time as the students are drafting their papers. It’s amazing. I mean, AI has come such a long way from where most people think it began two years ago. [LAUGHTER]

Rebecca: Feels a little creepy, but okay. [LAUGHTER]

John: AI has been going on for decades, and it was always something that was going to happen soon, and then all of a sudden, it arrived, way before anyone expected anything this powerful to be released with an interface so friendly.

Jevaughn: Yeah, no warning, just boom, here we are. [LAUGHTER]

John: …right before finals.

Jevaughn: Yes, yeah. [LAUGHTER]

Rebecca: Alright, so I always wrap up by asking, what’s next?

Jevaughn: As far as AI [LAUGHTER] or GPTs is concerned, I think about it all the time, again, from where it started to where it is now. I was just reading where there’s a K-12 school in Colorado that has two-hour intensive AI instruction, and it’s completely done by AI, the instruction, the curriculum, everything, and the rest of the day it focuses on life skills, which, to be honest, that’s dwindling a little bit with all of the gaming and all the other technologies, there’s got to be a gap somewhere. So focusing on life skills isn’t bad, but I think in the near future, I feel that we’ll see a lot of enhancements when it comes to that data security, because it’s such a hot topic right now. We’re already doing so much with accessibility, but I think that’s going to be a huge push when it comes to AI and ethics and the ethical concerns behind it. Who is actually behind those keys training. So we really have to think about that. And honestly, I feel that’s where it’s going. Of course, it’s going to advance when it comes to the databases and the types of knowledge that it provides, but I think in the near future, we’ll see a lot of ethical concerns and a lot of data privacy concerns being targeted.

John: Well, thank you. This has been a fascinating conversation, and your presentation inspired me to start creating GPTs because, at the time, I didn’t realize that free users could access them. But now that that’s there, it opens up so many possibilities for supporting students and for supporting instructors and anybody more broadly. So it’s a really nice improvement.

Jevaughn: Absolutely, I couldn’t agree with you more. It’s so exciting of where we’re going.

Rebecca: Thanks for a great conversation. And it really is important for folks to understand that it really isn’t that hard to create them. It sounds really scary and really intimidating, but it really isn’t.

Jevaughn: Yeah, the platform is already built for you. You just have to feed in that information. [LAUGHTER]

John: Well, thank you. This has been great.

Jevaughn: Thank you guys so much for having me. So much fun.

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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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375. UDL, Access, and AI

In November 2024, we moderated a panel at the OLC Accelerate Conference that used the universal design for learning (or UDL) framework to consider the impact generative AI has on equity and access. This episode is the live recording of this session. The panelists were: Liz Norell, Sherri Restauri, and Thomas J. Tobin.

Liz is a political scientist and Associate Director of Instructional Support at the University of Mississippi Center for Excellence in Teaching and Learning. She is also the author of The Present Professor: Authenticity and Transformational Teaching, which has recently been released as part of the Oklahoma University series on teaching and learning. Sherri is a faculty member in the Department of Psychology at Coastal Carolina University, having recently left administration in her role overseeing digital learning and access. She has been working in the field of digital and online learning for 24 years and now runs an educational consulting business to provide support to educational companies and institutions alike throughout the world. Sherri’s research and work focuses on neurodiversity and mental health in higher education, and she has published, as well as presented, extensively on these topics over the years. Tom is a founding member of the Center for Teaching, Learning, and Mentoring at the University of Wisconsin, Madison, and the author of the forthcoming book, UDL at Scale: Adopting Universal Design for Learning across Higher Education, as well as Reach Everyone, Teach Everyone: Universal Design for Learning in Higher Education and several other works related to teaching and learning.

Show Notes

  • Norell, E. A. (2024). The Present Professor: Authenticity and Transformational Teaching (Vol. 3). University of Oklahoma Press.
  • Behling, K. T., & Tobin, T. J. (2018). Reach everyone, teach everyone: Universal design for learning in higher education. West Virginia University Press.
  • LearnWorlds
  • Goblin Tools
  • Warner, J. (2018). Why they can’t write: Killing the five-paragraph essay and other necessities. JHU Press.
  • Maha Bali (2024). Cultivating Critical Literacies. Teaching in Higher Ed podcast. Episode 545. November 21.
  • Canva
  • LUDIA

Transcript

John: In November 2024, we moderated a panel at the OLC Accelerate Conference that used the universal design for learning (or UDL) framework to consider the impact generative AI has on equity and access. This episode is the live recording of this session.

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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: Welcome to “Equity and Access: Artificial Intelligence in Support of Universal Design for Learning – an expert panel.” I’m John Kane, an economist and Director of the Center for Excellence in Learning and Teaching at SUNY Oswego.

Rebecca: I’m Rebecca Mushtare, a designer and Associate Dean of Graduate Studies at SUNY Oswego.

John: The widespread adoption and rapid evolution of generative AI tools like ChatGPT In the past two years has sparked many conversations about the impact of AI, as we’ve seen at this conference so far, on many aspects of higher education. This panel, however, will focus on AI’s relationship to accessibility and universal design for learning. Our panelists are Liz Norell, Sherri Restauri, and Thomas J. Tobin. Liz is a political scientist and Associate Director of Instructional Support at the University of Mississippi Center for Excellence in Teaching and Learning. She is also the author of The Present Professor: Authenticity and Transformational Teaching, which has recently been released as part of the Oklahoma University series on teaching and learning. Sherri is a faculty member in the Department of Psychology at Coastal Carolina University, having recently left administration in her role overseeing digital learning and access. She has been working in the field of digital and online learning for 24 years and now runs an educational consulting business to provide support to educational companies and institutions alike throughout the world. Sherri’s research and work focuses on neurodiversity and mental health in higher education, and she has published, as well as presented, extensively on these topics over the years. Tom is a founding member of the Center for Teaching, Learning, and Mentoring at the University of Wisconsin, Madison, and the author of the forthcoming book, UDL at Scale: Adopting Universal Design for Learning across Higher Education, as well as Reach Everyone, Teach Everyone: Universal Design for Learning in Higher Education and several other works related to teaching and learning.

Rebecca: This wouldn’t be a complete episode of Tea for Teaching if we didn’t ask about tea. So today’s teas are: Liz, are you drinking tea? I mean, I already know the answer, but…

Liz: I am drinking two non-conventional teas. You may have heard of them: One is Diet Coke, and the other is water with a little bit of Mio flavoring in it, which I think counts as tea.

Rebecca: Tom?

Tom: I’m drinking a lovely decaf rooibos.

Rebecca: That sounds good. Sherri?

Sherri: So I actually am drinking my favorite iced coffee. I have a salted caramel mocha with me.

Rebecca: Great.

John: And I am drinking a Tea Forte black currant tea.

Rebecca: And I’m back to a good old favorite that I picked up when I was at Epcot yesterday, which is English afternoon tea. Our last segment for today will feature questions from the audience. Because we’re managing two sets of mics, as you can see, one for amplification in the room and one for our recording, we ask that you use the QR code on the screen to submit your questions for the panelists.

John: Technological advancements like touch interfaces and speech recognition were initially developed to provide access for people with disabilities, but now the standard features used by many. Likewise, early AI innovations, such as real-time captioning and transcription services and tools like spelling and grammar software, initially designed in support of accessibility, have been widely accepted and adopted as useful supports for all students. In what ways can instructors use AI tools to efficiently develop accessible digital content or design multiple means of representation or options for interaction? We’ll start with Sherri.

Sherri: Thank you. So I had an opportunity to think about this question in advance, and in my opinion, based on a couple of decades of watching AI come to the forefront, I feel like AI tools themselves are, in their current state, something that provides faculty and students, as well as instructional designers, with the ability to have different perspectives than we would otherwise. I kind of highlighted, and I wanted to go ahead with our questions by highlighting two of my favorite tools that I figured you guys may not have found yet, because we all know what ChatGPT is, but one of the tools that I have evaluated, and I feel like is going to change our world in course development is called LearnWorlds, and I encourage you to take some time to dive into their free 30 day service, because it is amazing. The one that I use most extensively with my students is called Goblin Tools, and both of those tools are ones that, over the last three years, have extensively changed the space of building what is available for us as faculty and helping us if we don’t know anything yet about UDL, it’s actually helping us to create those without having to have too much background knowledge, because UDL is built into the. Central mechanism of how these tools work as AI. So I encourage you to take a look at Goblin Tools and Learn Worlds if you’ve not looked at either of those yet, because they are very interesting, and it will get you kind of started with a tool that was pre built on the foundation of UDL.

Rebecca: Tom?

Tom: Well, the key here is that it used to be up to the designer or the instructor to create and provide the multiple means of engagement, representation, action and expression for the learners, the 3.0 version of the universal design for learning guidelines recognizes that artificial intelligence and other tools now put the ability to create in everyone’s hands. So the verbs changed from provide to design. This acknowledges that we can both give UDL options and teach learners how to recognize and craft their own customized options as well. For example, before large language models came along, if I wanted a text version of a video clip or I wanted to hear it in another language. I had to rely on humans for those transformations. Now I can ask AI tools to create the alternatives I’d like, and then, and this last part is crucial, do a double check with the humans who have the skills to be able to say, yes, that’s accurate and trustworthy,

Rebecca: As noted earlier, AI tools can also help students with grammar and spelling and basic writing and organizational skills. Will these uses of AI allow students and instructors to focus more attention on the development and higher order thinking skills. Liz?

Liz: I just want to say that when I was invited to be on this panel, I thought these people all know a lot more than I do. So when I was thinking about how to answer these questions, I did what I think many of our students might do, and go to ChatGPT and say, like, “give me some thoughts on this.” And I found that to be really helpful to kind of clarify how I want to answer this question about whether AI tools can help us focus more on the higher-order thinking skills. So in response to this question, I would say “yes, and…” because generative AI can create opportunities for us to focus on those higher-order thinking skills, and to do so as educators, we have to invest time and thought into creating assignments and projects that do that, that engage those higher- order thinking skills. And this is something that I’ve tried to make clear to my colleagues when talking about generative AI, both in my discipline of Political Science and with the faculty I work with in our center for teaching. And I’m just going to do a quick nod to the 1992 presidential campaign, because that’s my age, so please don’t take this as any sort of like derisive comment, but it’s the pedagogy, stupid. It’s always been about the pedagogy, and John Warner’s book Why they Can’t Write: Killing the Five-Paragraph Essay and Other Necessities, sort of gets at this in his title, that a five-paragraph essay may not engage those higher-order thinking skills. It’s a formula, and he wrote that book well before ChatGPT was a going concern. So I think we have to do the really hard work of figuring out what an assignment looks like to engage those higher-order thinking skills, and that requires work, not just from our students, but from us, as we work with faculty and do the hard work of education.

Rebecca: Sherri?

Sherri: So, I agree with Liz on her premise that it is really about the pedagogy. It’s always been about the pedagogy. I am in a position now where not only am I teaching at my home institution, but I also teach at a couple of other institutions as needed, and each of them have exceptionally varying policies and restrictions on the use of AI. I won’t name the one that has a restriction, but I will point out that because my work is extensively in students with what we would call hidden disabilities, a lot of times there’s a misunderstanding about the need for AI. AI is absolutely a requirement. And for example, Goblin Tools I use with all of my students who have any kind of learning disability, ADHD, like myself, if they have any kind of mental health concerns, then Goblin Tools is an essential tool for allowing them to bolster their executive functioning. And I’ve had to share that research and share that type of understanding with my colleagues at the institution that has a restricted AI policy that tells students they will fail if they are known to use AI. And I’ve had to tell them that this is an equity issue. It is a requirement for these students to be able to utilize this and there was a presentation two sessions ago, earlier this morning, where they shared that less than 20% of institutions in the United States have college students that disclose a disability. That means we’re missing about 80% of them, and that’s an important fact to keep in mind. They may not tell us they have a disability, but it is important for us to advocate at all of our campuses, that AI actually is allowing individuals who may struggle to do these basic skills of spelling and grammar and outlining without these tools.

John: Students enter our classes with quite a bit of variation in their prior learning experiences, and that can create a lot of challenges for instructors. In thinking about designing outcomes to sustain student effort and persistence. How might AI tools be used to provide enough challenge to individual students and enough individualized support that’s tailored to the needs of each student? Tom?

Tom: Well, beyond just creating multiple formats as materials, and that’s something that large language models and predictive AI do very well, instructors and students alike can use AI tools to create self-quizzing questions about materials and differentiated study pathways based on learners’ own engagements. The most promising access barrier we can lower with AI has to do with customizable study methods that learn about you and help you practice, prepare, engage. Of course, many of us know that the least effective way to study is print out a text and review it with your highlighter marker in hand. The better way is to read and create application and recall questions as you go along, and then after a while, quiz yourself about the materials. Our learners may not yet be experienced in crafting their own self-quizzing questions; they can ask. Ai, not for a summary of the reading that would be doing the work in place of the student, but for questions to ask about the reading that’s augmenting and customizing the study skills of the learners. Liz, you got thoughts on this too, don’t you?

Liz: I do, and something that I don’t hear discussed very often, although, Sherri, I’m glad you brought it up, is that these AI tools can be really helpful to support executive functioning by offloading some of the things that executive functioning is all about. So that can be really helpful for our neurodivergent learners, and also for us if we’re neurodivergent. So for those who struggle to get organized, AI tools can help. If you need to break a project into discrete goals. AI can help if you need to create a schedule or reminders or you want to come up with some ideas to gamify, AI can help with all of those. That’s a really nice affordance of the technology students can take advantage of these tools to help them identify areas where their work might need some strengthening, or provide feedback on where they’ve made mistakes in some of their work, which can help students who might otherwise feel left behind or feel lost to catch up and stay with the class. So just two days ago, I had a study session with my statistics students, and one of them told me, when I get to a question in the homework that I don’t know how to do, I open up ChatGPT. I say, don’t give me the answer, tell me what are the steps to do this question. And that’s a really nice way for them to learn the process and then take those steps and apply them themselves. This is a really smart use of AI tools by a conscientious student trying to learn and improve.

Rebecca: Continuing on with the principle of designing multiple means of engagement, one UDL guideline is to design options for welcoming interests and identities with considerations like providing students with a higher level of autonomy and choice or making sure that learning experiences are meaningful and relevant. What roles do AI tools have in assisting faculty and supporting student identity and interests? Sherri, do you want to start on this one?

Sherri: Absolutely. So I had a different answer for this until yesterday. So I want to tell you that I’m editing on the fly here because I feel like I have utilized the principles of inclusive design and UDL, I’ve built in identity until yesterday, and somebody presented on a wonderful session about how they submit their syllabi into AI with a specific prompt telling them what your background and what your history and what your varied identities are. And it changed my perspective, because I haven’t done that. I’ve been trying, on my own, to tell students I am also neurodivergent. I also come from this background, and I’ve tried to use that to identify with them, but the solution that was presented yesterday was really unique, because they submit their syllabus and they say I come from these five or six identities. Help me make sure that my language in my syllabus is open and inclusive to all identities. That’s a technique I’m now going to be implementing as of yesterday, because I’ve been trying to do this all on my own with thinking of the other identities. But the real value of artificial intelligence… and just allow me to nerd out for a second as a psychologist… is intelligence is just what the general community knows. That’s how we define intelligence. Artificial Intelligence, they know a lot more than us, because it’s big and broad, and it touches every culture and every continent on the entire world. And so from that perspective, I will always get a less biased response from AI, instead of trying to rely on what my own brain can tell me about trying to be open and inclusive of everyone’s identities. So that’s a tip that I’m taking directly from our colleagues from yesterday, of just even starting with a syllabus and saying, “These are my identities, help me make sure that my work is representing all other identities who might be in my class.”

Rebecca: It’s a great example… continuous development, continuous improvement. Liz?

Liz: Yeah, so I want to echo what Sherri said, and just say that one of the uses of AI that I think we often overlook is this idea that it can help us do some reflective practice about our own potential cultural gaps or lived experiences and those of our students. And so if we want to support student identity and interests, we probably need to have at least some fluency with that, or the ability to get that, and especially for many of us who are not the same age and even close to the same age as our students, or for those of us who teach very large classes, this can be very hard. So I would like to suggest that AI tools can help. Sherri, don’t want to go off on too much of a tangent, but I was listening to another podcast episode this morning with a conversation with Maha Bali of the American University in Cairo, and she was talking about the implicit bias that comes from large language models, because they’re reflecting back the text that they have been trained on. And so if you ask these generative AI programs, what is terrorism? or who are the people who are terrorists? It won’t answer. But if you ask it to give you five examples, they’ll all be of a certain kind. And so I think that there are opportunities here as well for students to think about and for us to learn about implicit bias in the culture by doing a critical analysis of the stuff that generative AI gives us. So Bonni Stachowiak talked about asking ChatGPT or some other program to give her a picture of a classroom that was a philosophy class at Harvard, and they were all men, and the women in the class noticed that, the men did not. So these are opportunities for some critical reflection. I also just want to say one more thing, AI tools can be really helpful for our students who are not native English speakers, because they can help them build fluency by parsing text and correcting their own writing.

John: Traditional online assessment techniques such as discussion boards and essay assignments on traditional topics in our disciplines may not align well with the diverse interests and lived experiences of our students. How might AI tools be helpful in designing well scaffolded assignments that better connect to the diverse interests and lived experiences of students, providing them with multiple means of action and expression? We’ll start with Liz.

Liz: So, from instructors’ perspectives, AI tools can help those of us who are subject matter experts and may have a hard time adopting a novice mindset, break down projects into smaller steps so that our students can approach those in a more accessible way. If someone asked me to write a journal article in my discipline, I would know how to do that, soup to nuts, right? No problem. But a sophomore or junior in a class who’s asked to write a term paper may not even know where to get started or what kinds of things will help them get there. So AI tools can help instructors who need some help returning to a novice mindset and understanding what those discrete steps are to create that scaffolding that you mentioned. From the students’ perspectives AI tools work well here, if and when, instructors allow students at least some choice over what the topics of their assignments or projects are, and especially to create assignments in different formats. So be that, video, audio, visual, written, etc. In those cases, AI tools can help students identify topics, refine ideas and then create structures for their eventual work products. That helps the instructors meet the students where they are, and as an instructor, it makes grading those assignments far more interesting, because you’re not reading 100 papers on exactly the same topic. I love getting to know my students through their assignments, and I suspect many others do as well. Tom, I think you have some more thoughts.

Tom: Yeah, to build on what Liz is talking about here, we’re most often engaged in creating assessments of learning: tests, quizzes, papers, exams. AI can help us construct those kinds of things and suggest alternate ways that learners can show those skills. But where I see the greatest potential for artificial intelligence is in thinking about assessment as learning. In our 300-person online lecture courses, they’re a terrible format to begin with… don’t get me started… there are scarce opportunities for engagement and for showing what you know. Designers can craft ways for learners to use artificial intelligence tools, almost like a private tutor. Ask AI to create study flash cards, self-quizzing questions, like we talked about earlier, fill in study guides and the like. The key is to make sure that what the AI produces is good information. Vet the content yourself during the creation process or design in a tech check as a course activity so that the instructional team can assess the quality of the self- assessment materials that AI is generating.

Rebecca: So we’ve talked a lot about how AI can facilitate learning, but haven’t yet addressed some of the equity issues in accessing and using AI tools. What barriers might some students face in using AI tools in their online learning experiences? Tom, do you want to start this one?

Tom: Yeah, I can take this one. There’s a lot of ethical considerations to using generative AI tools in online education. I’ll spotlight four of them here. First, we already see the haves and the have nots, the folks who can and can’t afford to use customized targeted data sets and tools. We have customized tools for the C-suite and hallucinations and errors for the rest of us. Second, water and electricity usage… for every image that you ask AI to create of a butterfly, unicorn, kitten flying through space eating a cheeseburger, three liters of water and 10 watts of electricity are consumed. Third, we preach respect for intellectual property, while the most common LLMs and generative AI models have been trained on oceans of copyrighted content without consent. And fourth, and perhaps the biggest barrier for widespread adoption of AI tools for UDL purposes, the high prevalence of racist, sexist, and pornographic inputs to the most general models. Ask AI for an image of a doctor, and it will always create a white, male, older doctor. These are all elements that we should share with learners about the tools that they’re using. That was a bit of a pessimistic turn. Sherri, do you have something different here, or you want to follow in the same way?

Sherri: Mine is going to support what Tom said [LAUGHTER] and actually what Liz brought out earlier. So at one of my universities, because I use AI as a teaching tool in the field of psychology, I actually build into week one and two of our classes how to use AI effectively. And then, after my first semester, because so many of my students love and are familiar with the free tool, Canva, that you might be familiar with, Canva now has a free functionality to generate images. However, Canva is, to date, the single most biased image generator I have ever seen. And as soon as I recognized that when they input things like mental health or ethnic diversity or poverty or crime, that it always provided the same specific images of individuals, then that led me to needing to narrate and modify the way I teach them about which types of AI tools and what to trust, because as future counselors, they do not need to be creating content or using AI’s incorrect LLMs, as Tom and Liz have pointed out, to create a belief instead, that only these individuals are representative. Tom mentioned doctors, and they always have one particular group. In my area, we’re talking about mental health disorders, and it is so, so problematic as a professor to have the student potentially create a presentation that only represents certain ethnicities and certain genders when we’re talking about mental health disorders, when that is incorrect. And Liz, you highlighted this so well, [LAUGHTER] even without knowing what I was going to say, because the intelligence behind AI is growing. It is growing every day. And one of the statistics I wanted to share with you that just came out last month was some of the original developers of AI estimate that AI is in its infant stage, it’s not even a toddler stage, but it currently has an IQ of 160. That’s five points below Albert Einstein, but it’s only a baby, and so once it grows, it, we hope, will become less biased, because it will receive input from us, but it gets its knowledge from us. So if we are inputting biased information, it will continue to output biased information. So it’s only as good as we are good at not being biased about the information that we’re publishing as well. So thinking about that diversity and the equity, I think that we cannot encourage students and we cannot utilize AI ourselves without also making sure we’re teaching them about the inequities. And if they understand the dynamics of how AI is created, its intelligence is based on the fallacy of humans, sometimes are also biased inherently, then they know to be a little bit more conservative about evaluating the quality of the material it presents as well.

Rebecca: So as we move into the audience questions segment, we’d like to remind you that this session is being recorded, and if you’d like to ask the panelists a question, please do so using the Google form that we provided. And we do have some questions in there. Do you want to ask the first one, John?

John: Our first question is from Elizabeth Blythe-Lee, from Arizona State University Online. Her question is: “How do you see AI being used to support personalized learning and supporting UDL? What will that look like?”

Sherri: Alright, I raised my hand so I get to go first. [LAUGHTER] So one of the things that I see it doing… if you guys have ever heard of the concepts of choice boards, or of the idea of student agency, where students have a choice, sometimes it’s difficult for new faculty, new instructional designers, to come up with enough choices to make learning personalized. And so one of the things that I’ve seen happen, whether you’re using the built in AI idea generator or content generator in Pearson or Cengage or LearnWorlds, or any of the ones that are about to come out in our LMS colleagues, they will give you ideas of potential projects that may suit different types of learners. And what I’ve always done in my classes is I’ve created a final project that has allowed students to make a choice: which modality suits your strengths best, pick this modality versus that modality versus that modality, but I can only come up with so many, and so using AI to not only come up with the ideas, but say, “AI come up with these ideas and build the rubric.” It’s a huge time saver for me. And so I already had the ideas about potential projects, but AI has enhanced that and truly made it more personalizable for my students going forward.

Tom: Many of you might know the concept of differentiated instruction, or DI, it started in the K-12 realm, and a lot of us in higher education are doing this as well. It’s very difficult to do differentiated instruction when you’re teaching a lot of people. Differentiated instruction is paying attention to patterns that appear among the learners who are in your class now and then doing design work in how you respond to them. To pay attention to those patterns and respond to those patterns. Universal Design for Learning is what we do before day one of our online courses, it’s how we design, not knowing who’s going to be there, and so we assume that there’s going to be wide variability. Differentiated instruction, on the other hand, is what we do after day one, and artificial intelligence helps us, not only in the proactive design in terms of UDL, how do we give people more on-ramps to get started? How do we give people more representative samples or methods or means for the content? How do we give them more than one way to show what they know? The flip side of the coin is also intriguing. We can design in opportunities to ask students to use artificial intelligence to do personalized, differentiated instruction for themselves, and then share that information with us so we start seeing the patterns more clearly.

Rebecca: Our next question comes from Marcus Popetz from Harmonized Learning. And the question is: “How do you feel about the AI note takers that record the class and offer recall and quiz questions to help the student? Is the note taking and creation of questions the important part, or the quizzing and recall.”

Liz: I appreciate this question a lot. So first of all, I just want to acknowledge that we are having this conversation in a context where being recorded in our classroom can feel unsafe for some instructors and some disciplines. And so I think that there is reasonable concern from faculty when a note taking AI tool might be recording everything they’re saying, getting a transcript and then generating questions. Because many of us feel quite rightly, under increased scrutiny. And so I sympathize with the idea behind this question, that the summarizing and the question generation is an important part of learning, but it may not be as accessible to all students as we would want it to be. And I think to what we’ve been talking about here throughout this panel, is that we want to be accessible to learners at different stages of their learning. And so to say no, you can’t do this, because question generation summarizing is an important skill of learning, might then preclude some students from ever getting to that higher-level thinking. So I’m personally not comfortable with saying no, but to engage in some reflection about what is our resistance, where is it coming from, and how can we think about this in an as inclusive of a way as possible, of different learners?

Sherri: So I was sharing with Tom right before our presentation, that I am doing something for the first time in 24 years of teaching that I never thought I would do. I’m excited to no longer be in administration, but this semester, I’m teaching eight classes, and somehow I’ve survived it. And so I just want to point that out, that in those eight classes, across eight different classes themselves, I may have 60 students with ADA accommodation letters. It’s a lot. It’s grown significantly, and out of those 60 accommodation letters, at least 75% have note taking as a core component of their varied accessibility needs. Again, I want to throw this back to executive function, which, regardless of what type of disorder you have, executive functioning, your ability to pay attention in class and take notes is likely to be impacted if you have any kind of diagnosis, and if you don’t have a diagnosis, and by chance you have trauma in your background, your executive function is also negatively impacted. So you might not have a formal diagnosis, but you need these note taking functionalities, as Liz kindly pointed out, in order to even have a level playing field. So yes, in psychology, we talk about some things that get very uncomfortable, and more than myself, I’m more protective of the other students’ comments and those being shared in the note taking. It’s not myself, it’s what’s being disclosed in our classroom, because these are individuals being trained to become clinicians, and they learn best by sharing their own stories. So I’m protective of it, but in the same way, I want to recognize the fact that it’s important for everybody to see that these are useful tools for individuals who may and may not ever be diagnosed in order to have a level playing field in their learning experience,

John: We have a question from Richard Powers from City Colleges of Chicago, and his question is Beth Stark and Jérémie Rostan developed Ludia, an AI tool that reviews lesson plans, syllabi and other documents through UDL lenses. Reactions have been really good. Do you see educators using specific UDL review tools such as these in the future?

Tom: Yes. [LAUGHTER] No, the Ludia tool is a splendid thing. It was developed just at the end of last year in late 2023 and what the researchers, whom Richard is referring to, what they did was they took a chat bot model and customized it only on a data set of universal design for learning documentation, so if you’re putting in “Hey, I have this challenge, or here’s this barrier, or my students are having these kinds of challenges,“ Ludia will say, “Hey, this sounds like this is the barrier. This sounds like applying this particular checkpoint from the universal design for learning guidelines applies.” And I use the word checkpoint here because it’s still on version 2.0 of the UDL guidelines, they’re working right now to update that to 3.0. I can see that one of the have and have not barriers that is likely to be lowered in the near future is that we’re in the adoption curve with artificial intelligence, where the tools are still designed for expert users. They’re still designed for the coders, the instructional designers. They’re not designed for everyday folks. Here I’m going to hold up my mobile device. Think about every app on your phone. All of those apps started out as something that only people with specific skills and knowledge could use, and they’ve now been designed into things that everyday people can do and use and participate with. So that’s going to happen with artificial intelligence tools as well, and that have/have not divide right now, the people with all the money and the specific business cases they get to train their AI on sort of higher quality or narrower niche kinds of data sets. And Ludia is a wonderful step in that direction because it’s open source and everyone can use it. So good plug for that.

Rebecca: Thanks for your great questions. I know we didn’t get to all of them, but we got to the majority of the ones that came in. So thank you. We always wrap up by asking: “What’s next?” and we’ll start with Liz for this one.

Liz: Okay, I actually want to get some clarification on this question, because I don’t know if “what’s next” means for me or for this topic.

Rebecca: We always leave it on our podcast to be very open. It can be like, I’m gonna go eat lunch..

John: …or I’m going to Disney World…

Rebecca: Yeah, [LAUGHTER] or it can be the big existential question, so it’s really up to you, Liz, or it could be both/and… either/or.

Liz: My particular flavor of neurodivergence is autism, so I just need, like, some clear expectations. So what’s next? I think my relationship to AI continues to evolve. I think when it first came on the scene, I was curious, then I felt overwhelmed, and so I just started saying, “but the environment” to avoid thinking about it very much. Now I’m kind of in this uneasy frenemy sort of relationship with generative AI, where I’m sort of like, “okay, I’m curious, but also kind of skeptical.” So in terms of what’s next, I’m just gonna say our relationship continues to evolve, and I’m not quite sure where it might end up.

Sherri: And from my perspective, I also feel like we’re gonna see some big things happen. My big takeaway that I would love for you to think about is remembering that underneath AI are humans. The intelligence of AI comes from humans. And I think there’s some real value in solving big world problems by the combination of all of our human intelligence together. There’s some major issues that we’ve not been able to solve in medicine and other areas that I think we’re gonna see AI actually give us some solutions for. So keep an eye out for that. And I think it’s dependent on us. It’s not AI that’s solving it. It’s our ideas joining together to find really big world solutions that we can’t find unless everybody puts their information in.

Tom: And if the question is, “what’s next?” we will soon see a diffusion of innovation shift around AI use in UDL practices. We will move from training people how to craft effective prompts to how to use AI tools to shortcut already expert processes.

John: Well, thank you all for joining us. Thank you to our experts on the panel, for providing us with your responses, and thanks to everyone who’s attended. [APPLAUSE]

Sherri: Thank you.

Liz: Safe travels home too.

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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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367. Teaching Effectively with ChatGPT

AI tools can help faculty improve the quality of their teaching and assist students. In this episode, Dan Levy and Angela Perez Albertos join us to discuss a variety of ways in which ChatGPT can be used to support learning.

Dan is an economist and a senior lecturer in Public Policy at Harvard University where he teaches courses in quantitative methods, policy analysis, and program evaluation. Angela is a graduate of the MPA program in International Development at the Harvard Kennedy School, where she currently serves as a Teaching Fellow. Dan and Angela are the authors of Teaching Effectively with ChatGPT.

Show Notes

  • ChatGPT
  • Levy, Dan (2021) Teaching Effectively with Zoom: A Practical Guide to Engage Your Students and Help Them Learn. 2nd ed. LSC Communications
  • Levy, D. and Angela Pérez Albertos (2024). Teaching Effectively with ChatGPT: A practical guide to creating better learning experiences for your students in less time. LSC Communications
  • TeachFX
  • Teaching Effectively with ChatGPT Companion site

Transcript

John: AI tools can help faculty improve the quality of their teaching and assist students. In this episode, we explore a variety of ways in which ChatGPT can be used to support 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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Rebecca: Our guests today are Dan Levy and Angela Perez Albertos. Dan is an economist and a senior lecturer in Public Policy at Harvard University where he teaches courses in quantitative methods, policy analysis, and program evaluation. Angela is a graduate of the MPA program in International Development at the Harvard Kennedy School, where she currently serves as a Teaching Fellow. Dan and Angela are the authors of Teaching Effectively with ChatGPT. Welcome Angela and welcome back Dan.

Dan: Thank you.

Angela: Thank you so much for having us

John: Today’s teas are:… Dan, are you drinking tea?

Dan: Moroccan tea.

Rebecca: That sounds nice.

John: And Angela?

Angela: I am drinking Chai Latin, my favorite.

John: And Rebecca?

Rebecca: I have English afternoon tea. It’s been a while since I’ve had that.

John: And I have English breakfast tea.

Rebecca: That’s unusual for you.

John: Yes, it is.

Rebecca: [LAUGHTER] Alright, yeah. We’ve invited you here today to talk about Teaching Effectively with ChatGPT. Can you talk a little bit about how this project got started?

Angela: Well, Dan and I had been working for a while already, when we started talking about this book, and we had been experimenting on different ways to integrate technology for more effective teaching and more effective learning. And I had personally always loved working with Dan, and he had written a book already about Teaching Effectively with Zoom that was very valuable for many educators during the pandemic, and he was thinking about doing something similar for ChatGPT. We saw that many educators were paralyzed by this technology. We saw that many students were already using it, but may not necessarily know the ways in which they could use it best for their learning, and there was just a big need to experiment better with this technology. We started with a small workshop that we did at the Kennedy School that was a massive success, and then from there, we saw there was a big need and a big desire from educators and students to learn more, and so we just decided to go ahead. And I think since then, it’s been a wonderful experience.

John: One of the things we’ve noticed in workshops is that faculty are often a little bit resistant to experiment with ChatGPT or other generative AI tools until they actually try it. So we thought maybe we’d start with that. What are some ways in which generative AI can be used by faculty to help design new courses or improve the design of existing courses.

Dan: I think generative AI can be used by faculty in a number of ways. And just to reinforce your point, John, I think you don’t have a good sense of how useful it can be to you until you actually start using and experimenting. So I think if we could leave faculty with one message today, it would be: “Start experimenting with the technology so you can understand the benefits and the potential limitations.” We can talk about ways in which we can use the technology to, as you said, design new courses or improve the design of existing courses, and I’m sure we’ll be doing it throughout the podcast. In terms of designing new courses, you can do things like help you refine your teaching goals, for example, or you can have it help you as a brainstorming partner in a class that you’re thinking about designing. You can ask it to provide you feedback with material that you’re developing. So there are a number of ways in terms of improving your course. You can ask it for feedback on slides that you have produced in the past. You can ask it to summarize documents, summarize course evaluations, to gather what are the main things that you need to do, but at a super broad level, maybe the way that I think our book tries to crystallize the use of AI, or ChatGPT in particular, is you should think of it in potentially two roles for you. One, it could be a brainstorming partner, a thought partner for you, and the second one, perhaps the most current use, is it could be an assistant. It could be a teaching assistant, a research assistant, a general assistant. So anytime that you are in front of your computer and you’re trying to get something done and you’re feeling stuck, I think you should just ask yourself, is this an activity where maybe spending three minutes with ChatGPT could help me either get unstuck or arrive to an output faster than I could in the absence of it.

Rebecca: I know as an instructor, I’ve used it to get past a blank page, just to get a jump start on something. In the second chapter, you describe ways in which ChatGPT can be used to customize your courses in the interests and needs of your students. Can you talk a little bit about how ChatGPT can create a more student-centered learning environment?

Angela: One of the biggest potentials that the education world has seen in ChatGPT is the opportunity to approach closer to the ideal of one tutor for every student. Research has known for many years that providing personalized learning can have huge impacts in each student’s learning and. And ChatGPT can enable part of that benefit. It’s not perfect, but it can get us closer to that outcome. Now, how can it do it for a professor? I like to think about it in three ways. One is that it allows educators to process the student information that has high volumes. So for example, in every class that I teach, I start by asking students to fill in a form where I ask them about their interests and what they’d like to learn. If with ChatGPT, I can get a summary of those interests and like the profile of my students. The second way is that it provides access to knowledge or to context that allows educators to tailor activities to their specific students. So for example, when Dan and I were updating one of our activities for the statistics class that Dan teaches, we were trying to think of topics that were relevant for the students in the class. And we asked ChatGPT to provide different ideas for topics. And these went from topics related to health to finance to arts, and many of these topics we were not experts in, but they were topics that our students were interested in learning more about. So ChatGPT allowed to tailor our activities and our context to make them more relevant to what our students wanted to learn. And then the third is that ChatGPT can be made as an avenue or as a tool to personalize student learning directly. So we can ask the students to learn about different topics directly on ChatGPT, so that the approach is the one that works best for them. And we’ve seen this in action as well, where, in one of the examples that the book covers, is how one of the courses that Dan was teaching, he asked his students to learn about signal theory, and then you have two students that take a completely different approach. One of them asked for more in-depth and more expert-level explanations, while the other one says, “I have no context about this, so I actually need to understand this as someone that has zero background knowledge,” and that is super powerful. There’s no way that an educator would be able to provide the two explanations in a class to different types of students. So in those ways, I think that the potential is huge.

John: And you mentioned using a form to gather information about students and feeding it into ChatGPT. One of the things you suggest, though, is that you don’t want to include personally identifying information, such as their name or other things. Could you talk a little bit about why it’s important not to do that?

Angela: Absolutely, so there are huge privacy concerns about what data we put in to ChatGPT, because basically, the algorithms are trained on the data that is existing on the internet, and right now, we have no good sense of what openAI is doing with the data that we input into ChatGPT, and so in that sense, we strongly encourage educators to not put any sensitive data, like student contacts, student grades or anything that would make the data that we are adding about the students identifiable. Now there are solutions that openAI is introducing for universities that are available and that we also talk about them in the book, but our general recommendation is to be very, very careful with the type of data that is used in conversations with ChatGPT.

Rebecca: Can you talk a little bit more about additional ways that faculty could incorporate ChatGPT to improve the active learning in their classrooms?

Dan: So in the book, we describe sort of a simple prompt that you can use, where you give it the slides or the materials that you use in a class a prior year, and you sort of say, “I want to incorporate more active learning into this class. Can you give me a few ideas?” and what ChatGPT would tend to do is provide you with a list of active learning activities. So maybe it would suggest a poll question for your slide number three, or a breakout room kind of activity for slide number seven. The reality is that if you’re just trying to inject a little bit of active learning into a class you’ve already planned, you don’t want to incorporate the 10 ideas that ChatGPT would give you, but it’s enough for you to have one or two good ideas come out of that literally three minute exploration for this to be, I think, worth the effort. I think often we think about, can ChatGPT be better than us?, or can AI be better than us? In the book, we emphasize that’s not the question that you should be asking. The question we suggest you ask is, can I plus ChatGPT be better than I alone? And so in this particular example, you might have a class from the previous year that you’re trying to inject some active learning activities. You ask ChatGPT for a little bit of help, maybe give me five ideas or 10 ideas of active learning that I can incorporate into this particular class. You get one or two that you like, and you might run with them. Or maybe it’s enough of a…not the exact thing that you want to do… but it’s enough of an idea that you can explore. The other interesting thing about AI is that it has infinite patience. So if you don’t like any of the 10 activities that it gave you, you can ask for 10 more, maybe 15 more. And if all you’re looking for is one or two, the spark of an idea might be there. You sort of were describing before, maybe there’s a blank page and I want to get some ideas. The same thing is for injecting active learning into the classroom. One more thing that I want to add is that both in terms of personalized learning and in terms of injecting active learning into our classroom, is that one of the things that has been very interesting is to observe, and I think Angela has been an amazing conduit to be able to see this, is to observe how our students are using ChatGPT, in the absence of us doing anything to use ChatGPT. And so just a couple of quick anecdotes. This happened, actually, after the book. This happened in the last week. So in one of them, I have a student in one of the classes who was hesitant to take the class because the class does require you to run simulations with Microsoft Excel. And he said, “I don’t know Excel. I’m willing to work hard, but I don’t know Excel.” And he, basically in a couple of weeks in the semester, designed simulations with the help of ChatGPT, in a way that he didn’t even think was possible. So to observe how he was able to pursue the curiosity, the intellectual wanting to learn about this and sort of struggle a little bit with ChatGPT: “Can you give me the Excel formula so I can do this?” And so it has been wonderful, and frankly, I couldn’t have spent the hours with him that it took him to do this, to the point that he’s now creating simulations of stuff that we’re doing in the class where we’re not even asking them to do simulations. He came back this week and said, I have created a bot for your course, and I have essentially put the materials from the class, and now I’m asking the bot some questions and getting answers, and that I think it would have been hard to do before. So those are just a couple of the examples of being able to see the students engage in this active learning themselves without us even doing much.

Rebecca: I think that underscores the idea that you suggested earlier, of this infinite patience. I love that idea.

Angela: In the book, we also talk about ChatGPT being empowering, because at the end of the day, it removes the barriers to learning, and so it gives them the encouragement that students need to be able to learn new things by themselves. And of course, critics have sometimes criticized that this only works for motivated students, because you need that motivation to learn to begin with, and that’s absolutely right. But is it not a benefit that at least those that are motivated to learn will be able to do things like this and feel that empowerment, which in turn, is going to feed more into their desire to learn new things?

John: And for those students who come in with a somewhat weaker background, it can help to equalize that background by providing a tutor that never gets tired, for the same reason, that it has infinite patience, and that’s something that human tutors may not have, or their friends, or other people in the class working with them may not have.

Rebecca: Or that lack of judgment.

Dan: There’s an additional benefit, John, to what you just said, which we discovered when interviewing students for the book. It’s not just that it has infinite patience. It’s when we asked the students, what do you see as the advantages of using a bot or just an AI tool to learn, two that came up, one we expected, the other one, in retrospect, we should have expected, but didn’t. The one that we expected is, well, it’s available to me. 24/7, an instructor is not. And the second one, which is very interesting, was summarized by a student who said, I can ask the tools questions that I would be too embarrassed to ask a teacher or a teaching assistant. So it’s not just the infinite patience, which, frankly, a human being won’t have after the third or fourth time that a student says, “I don’t get this.” You might sort of try in seven other ways, but at some point you might have difficulty understanding where they are. Or it’s not even infinite patience, it’s infinite time. You might want to spend time with a student, but you might not be able.

John: And students who may experience some imposter syndrome, perhaps that may help them get past that barrier of asking for help, because they don’t want to reveal what they’re not comfortable with.

Dan: Absolutely.

John: One other thing you talk about is course evaluations, and one thing that most faculty experience is that they may get hundreds of really positive ones and two or three really negative ones, and what they walk away with is a memory of those less positive comments, the negative comments tend to stick a little bit better. You suggest, perhaps using AI tools can help remove some of that. Can you talk a little bit about that?

Rebecca: How did you know they stick more, John?

John: I’ve heard rumors, anyway. [LAUGHTER]

Dan: Yeah, so I think you just pointed out one of the advantages of being able to use an AI tool to summarize course evaluations, which is that sometimes what you remember from reading course evaluations is that comment that was either offensive or hurtful or just like, mean, frankly. And what you can do with an AI tool is to just summarize and sort of say, “Give me what are three to four things that students seem to find effective in this course, and give me three or four things that students find ineffective,” which at the end of the day is probably the most important thing you want to learn. And you might even ask the AI tool to give me some specific suggestions for how to improve the course given these evaluations. Now, you might not agree with the suggestions. You might sort of say, “I know students are unsatisfied with this, but I’m not willing to do what ChatGPT is suggesting.” But again, it at least gives you a little bit of a sense of direction. The other thing I would say is that even the mere act of summarizing the themes is something that I think it’s hard for the human mind to do, like if you have 50 or 60 or 100 evaluations to read one after the other, you start thinking about that comment that was either very good or very bad, and you lose a little bit of track of what were the major themes. And so I think those are some of the benefits. I do want to say that I don’t think ChatGPT is as good as having a teaching professional read the evaluations and come to you and have a conversation with you about them. But you might not have such person at your disposal, and even if you did, that person might not be available when you need to do this, or maybe might not be available every semester. So I think there are some advantages of doing it in this way.

Rebecca: It almost seems like a possible benefit of: “Here’s your evaluations, and also here’s the summary.” [LAUGHTER]

Dan: Yeah, well, I think academic institutions should be thinking about doing things like that, where you automate and by the way, we had a meeting two weeks ago with our faculty, and in half an hour, I created a simple bot that our faculty could use to upload their course evaluations, and it gave them sort of the equivalent to what I was just describing. I even added like a little instruction for the bot: take the most favorable quote so you end reading the evaluations with a nice quote from a student. And this is just like half an hour investment in something that could be useful to many faculty members. You could imagine thinking more deliberately about, “Okay, what are the things that we want the faculty to be working on, and how do we design a simple bot to bring those things.”

John: And I think you also suggested that if a department chair or Dean is also reviewing evaluations, this could make it a much more efficient process to summarize them, rather than them having to go through and read them one by one, especially in larger classes or departments.

Dan: Absolutely, I think in general, the ability of AI to both summarize documents and to allow you to interrogate documents really far exceeds the human capacity to do that. So if you have 100 pages of student feedback or course evaluations, there’s no way that you can do it in the speed at which ChatGPT, or an AI tool similar to it, can do it.

Angela: Dan, there may be, like, a useful tip to give here to our listeners, which is, when summarizing student evaluations, it’s always useful to ask for how many people have made comments about a specific theme, because this helps you weight how much the themes that are being brought up are widespread across the students or just a one-off comment for somebody, and that may be something that ChatGPT may not organically. And then the second one is to also split themes between positive and negative, because there are some times that you have a theme, say, like, problem sets are very long, maybe some student makes a positive comment about it because they think that they allow them plenty of time to practice topics in depth, while some other complaints about the workload, right? And so here we comment how interrogating a document may also be a back and forth process where the better questions that we ask, the better the quality of the output that we are going to get from ChatGPT is going to be.

Dan: Absolutely.

Rebecca: One of the other examples that you provide about getting some feedback about teaching is having faculty members record their class audio and then have it transcribe and then ask ChatGPT to evaluate and provide suggestions about their teaching, and then have ChatGPT analyze those recordings and assist with peer evaluation of teaching. Can you talk a little bit about how that feedback might be helpful and maybe perhaps less biased than human feedback on teaching?

Dan: I want to first preface this by saying that this was done by one educator, as we highlight in the book. There are obviously issues of privacy and permissioning that need to be resolved before scaling this, but I think the potential of having an AI tool be able to analyze a class that you teach and provide you with detailed feedback customized to your own teaching philosophy, you can sort of say, here are the teaching principles that I have and that I bring, and I want you to assess what I did relative to those principles, as the educator that we highlighted in the book did, I think is wonderful. Again, comparing with a counterfactual, what would you do if you didn’t have the AI tool? If you had a teaching coach or someone who specializes in teaching and learning, they might be able to see things that the AI tool won’t be able to see. Because they know you, they might be able to give you advice that’s more sort of adjusted to your own needs. But there’s no question in my mind that most of us don’t have access to such a person on a literally daily basis, and so the AI could help scale that feedback, could help complement… Angela and I in the book, talk a lot about how AI can complement things that we tend to do with other human beings, and I think this is one of them. In terms of being less biased, obviously, there’s a lot written about how AI has some built-in biases that goes, I think, beyond the scope of this podcast, but I do think that an AI tool can, if you give it: “Here’s the criteria by which I want you to judge the class that I just gave,” might be able to help you see things that you’re not seeing.” So is it ready for prime time right now? I mean, our educator was super, super innovative in the way that they did it. My sense is that the tools will come so that it’s much easier to do it. And one of the areas that we’re most enthusiastic about is to think about the use of AI inside the classroom, not just to provide feedback after class to a teacher, but how can AI be used inside the classroom to do lots of things? I think that’s a chapter in the book that is a little bit of reflecting experiences from educators, but mostly speculating about future directions. My hope is over the next year or two, we’ll see lots of super interesting uses of AI in the classroom that could help advance our teaching goals.

John: One of the things that people who run teaching centers sometimes note is that faculty will come to them and talk about what they’re doing in classes, and then the feedback they get from more senior people in the department may not always be consistent with evidence-based teaching practice. [LAUGHTER] Of course, that would not happen at our institution, [LAUGHTER] but I think that would be one way in which, while there are biases in AI because it’s trained on human data, it’s at least trained on a very large base of human data, rather than just the perceptions of the one person who’s sitting in observing the class that semester. So it might actually provide somewhat more neutral feedback, again, as long as the prompts are well designed.

Dan: Yeah. And one thing I want to add is that you can literally tell the AI tool, let’s say there’s a book about teaching and learning that you think captures particularly well the evidence and how you would like to teach. You can sort of give that material to the AI tool and say, I want you to use this as a basis for providing the feedback. As a person who teaches and tries to be as helpful as I can to my colleagues when they ask me to observe them teach, one of the challenges that you face when you observe someone else teach is that instead of thinking about, how can I be helpful to this person where they are, it’s almost inevitable you start thinking how you would have done it differently, and that’s probably not the right approach to help someone get better, because whatever you would have done differently might or might not help the learning of the students in that classroom. So I think trained teaching professionals might not have this issue, but if you’re getting feedback from a colleague, again, I don’t think it has to be a substitute. But if you ask yourself, how many times have I had a colleague observe me teach in the last year? I think most of us would reply, not that many. And AI could help scale that feedback and certainly complement.

John: A related note is that when there’s surveys of faculty in terms of how much they use active learning techniques, generally, most faculty report a relatively high level of use, but when students are asked about that, the reported level of use is a bit lower. And perhaps this, again, might be a nice way of getting at some assessment of that that’s independent of the faculty’s self-perceptions.

Dan: Absolutely. Again, I’m not saying that this is happening now, but one very raw measure of how much active learning is happening in your classroom is what percent of the time in your classroom you are speaking. I have had someone measure that in my own classrooms, and I severely underestimate that percentage, I think I speak much less than I do, and so it’s a reality check. But now that plus 100 other statistics about your class, average wait time, how many open-ended questions have you asked? How many times do you say “hmm” when you’re teaching? How much back and forth there’s between students, like a volleyball kind of dynamic rather than ping pong, where they’re always going through you? All of those things which you might have imperfect perceptions of what’s going on. You could imagine an AI tool being able to capture and give you a more realistic sense of what’s happening in your classroom.

John: I believe that there is a tool out there that will record your classes and use AI to give you some feedback. What’s the name of that application?

Dan: The people that I actually know and highly recommend the tool is called TeachFX, and they’re able to do that, and maybe some of the things that I’m describing now they can already do, but if not for sure, they will be close to being able to do. It’s almost like you have a full diagnostic of what happened in your classroom in a way that would be very hard to do otherwise.

Rebecca: So shifting away from teachers thinking about their own teaching and back into the hands of students being in control of some of their own learning, what are some ways that students can use ChatGPT to assist their own learning?

Angela: I love this question, Rebecca, because it’s a big part of the book, and it’s something that was very important for us to reflect. Dan has a very good sentence that he uses when he starts introducing workshop which is, teaching is not the same as learning, and so teaching effectively may not always be the same as learning effectively. So that said, I’d like to start this the answer to this question by highlighting one of the most important principles that we talk about in the book, which is that different uses of AI lead to different degrees of learning. A nd so we strongly believe there’s not such a thing as ChatGPT helps improve learning, or ChatGPT impacts learning negatively. It just depends on how it’s used. So I could give you a range of different uses that students can give to ChatGPT, and we actually talk about six of them in the book. They include things like getting feedback about their answers, which relates to this idea of using ChatGPT as a tutor. They are things like learning about a new topic or finding arguments and counter arguments about a topic. These are basically anything that a student has to do in their schooling process, t here’s a way in which ChatGPT can learn. What I want to give you is this very specific example that we include in the book, and that explains how ChatGPT can be an agent in the active learning process, rather than an agent in making learning passive. And it’s actually an example that I did myself when I was trying to create an essay for one of my philosophy courses. And one way in which I could have gone about this exercise is asking ChatGPT to write the essay for me. And I could have said this topic is about effective altruism, please write an essay of 1000 words with some pros and some cons, and then just submit that essay. That would have, of course, negatively impacted my learning, and it would have been cheating, obviously. But there are many other ways in which I could use ChatGPT for the same task. What I did in particular is I asked ChatGPT to play the role of a philosopher that was very acquainted with Peter Singer, one of the philosophers that was particularly relevant for the topic that I was writing about. And I had a debate, a back and forth debate, with the AI tool while the AI tool was impersonating Peter Singer. And so I threw the AI some arguments, I threw the AI some questions, and then the AI tool would answer me back, and that was incredibly helpful for me. It helped deepen my understanding of the philosophy, it helped me strengthen my arguments, and it overall improved the quality of the essay that I ended up submitting massively. Now it’s very difficult for educators to understand how students are using ChatGPT in the background when they just see the end result, but educators can play a role in encouraging productive use of ChatGPT.

Rebecca: It’s a super fun example. [LAUGHTER]

John: It’s something I’ve encouraged students to do too, to have it play the role of an economist and then ask questions about current policy debates. In particular, I suggested having it play the role of David Ricardo and ask questions about trade barriers in an introductory class. And they enjoyed that, or at least the students who tried that enjoyed it. It wasn’t a required activity, but it was just something I encouraged them to do.

Angela: It’s fascinating. Yes, I agree

John: What are some of your own favorite ways of using ChatGPT.

Angela: I’m using it recently for things related to marketing. I find myself having to create a lot of marketing copy, which is something that falls way out of my comfort zone. And it helps me make my communications more crisp, and it helps me with creativity. I use it a llot to brainstorm ideas where I just say, “Give me 10 different jokes that I could use in starting this email, for example. I find it amazing. It solves my life. It’s my best friend these days. I have been integrated into almost everything I do, and I’ve been finding it particularly helpful for this task.

Dan: Going back to what I said at the beginning, I think of it as a thought partner and as an assistant. As a thought partner, a way of brainstorming lots of things. So it could be teaching related or not teaching related, particularly when thinking about broadening things, I think it can be very helpful. But I want to talk maybe about a use that we haven’t touched on and which I think might be of interest to people, which is that it can be incredibly helpful at doing things that we hate to do with our computers. So for example, the other day, someone sent me a list that, in reality, I would have preferred to have a table, because it really had literally separated by, I’m not even sure, space, double space, sometimes comma, whatever it is. And I just copied and pasted that into ChatGPT and I said, “Give me a table with this.” So anything having to do with formatting, you’re much more likely to be able to do it quickly with ChatGPT or similar AI tool than you would trying to do it manually. So another of those menial things, I know it’s not a big sort of deal to do it, but I basically had to write an expense report for someone who had invited me to do something, and all I had on my computer was a scan of the eight receipts that I had. And one day I said, “Okay, I have to do it.” And so I just dragged the eight receipts to ChatGPT and I said, “Please prepare an expense report with a table in the middle, listing each expense and totaling the expenses” and in three minutes counting the time that I edited that letter afterwards I had the expense report written. I know that’s like a super small sort of thing, but think about a number of things that whenever you find yourself dreading to do something on your computer, you should think of this almost like as an augmented operating system. It’s almost like as an assistant. Normally, when you’re trying to do something in the computer and you need help, you might go to someone and say, “Can you do this for me?” And then you have to wait. Here it’s almost like the assistant is right there in between you and the computer, and able to do lots of things like this, even things like, here’s a printout of a table that I had on a piece of paper, put it on an electronic table, add these two columns. So after you brainstorm if you want things in a different format. The other day I had someone send me a bunch of numbers, and I just copied and pasted and started doing some basic data analysis with ChatGPT. So lots of activities that would normally take you more time are ones that you can do. Those are not very profound uses, but if they save you time so you can go back to your research, your teaching, or anything else, or even fun, that would be great. And then just as a couple of fun uses: one, next time you’re at a restaurant and there’s a dish that looks delicious or that tastes delicious and that you want to have a sense of how it was done, take a picture, upload it to ChatGPT and say, give me a recipe for this dish. I’m sure it’s not going to be as good as the restaurant, but it can literally give you a sense of that. And then nowadays, with audio capability, you can literally have conversations with ChatGPT. You don’t even need to start typing. So all of those things are now possible.

Rebecca: I like the idea of saving dread. That’s good. [LAUGHTER]

Dan: Yes.

Angela: Someone once told me that they took a picture of their fridge in their kitchen and then asked for potential recipes they could cook during that week. So the people really get very creative with what they can do with ChatGPT once they start experimenting

Rebecca: Anything to save a headache, sounds like a good plan.

Angela: Totally.

Dan: Absolutely.

Rebecca: You included a chapter in your book on creating chatbots. Can you talk about some ways that an instructor can use chatbots, either for their own work or for student use?

Dan: I think Rebecca, the distinction you just made now, I think that is a very important one. You can create a chatbot for your own use, or you can create a chatbot for others to use. Others could be your students or any other person that you want. So for your own use, if you think about activities that you’re constantly doing, and you don’t want to write a prompt that has a context every time that you go into ChatGPT, you could have a bot that helps you with this repetitive task. So a simple example would be, suppose that you have a course where you want ChatGPT to help you every class session, you want to upload your slides, and you want ChatGPT to give you feedback. And so you might create a bot where you upload the syllabus of the course, any material of the course that’s relevant for ChatGPT to have as context. And then you have a prompt for the bot that describes the type of feedback that you’d like to receive. Now you could, every time you’re going to teach a class do exactly what I’ve just described, so upload the materials, put the prompt and so on, but without much extra effort you can create a bot that basically allows you to go to it every time, and then instead of having to do all of that from scratch at that moment, you just sort of say, “Alright, here are my slides for tomorrow. Go ahead and give me the feedback,” and so it’s a very efficient way of being able to do tasks that you do often. I would say one important thing, maybe the most important thing that I think Angela and I can say about bots is that they sound like something very hard to do, but they are not. If you already have the basics of how to prompt ChatGPT, creating a bot is not anything extra. There’s no code. It’s English. It basically has two components. You upload files and you write a prompt, and that’s it. You obviously need to test it to make sure that it does what you want and so on. So that’s number one. That’s for the instructor. But you can also create bots for your students or for anyone else. And so there, I think there are interesting opportunities. in the teaching realm. You would upload your syllabus, you will upload a bunch of documents relevant for the course, and then, depending on what you want the bot to do, we have lots of examples in the book about what educators have done. So, for example, our colleagues Sharad Goel and Teddy Svoronos created a bot to answer questions about statistics course and give practice problems for them. We have David Malan from CS 50 created a bot to help answer computer science questions that students often have at different times in the day and at night. So there are many, many different uses. You just have to think about, okay, what are things that I would want my students to have access that maybe I cannot provide that access right now, and it might be a good thing to do. But the bottom line is, this is not rocket science, if you know how to prompt, you know how to build a bot.

John: You also provide a companion site. Could you talk a little bit about what’s on that companion website?

Angela: Many things, but on the topic of creating chatbots, we actually have that same chapter linked for free in our companion site. So as Dan was encouraging educators to just try and give it a go, they can refer to the chapter that is linked in our companion site. A lot of the work that we did with this book was try to demystify AI for people that were not familiar with this technology. So we are not using any particular slang. It’s all conversational English to explain how to use it. In addition to these, we have other resources that, due to the nature of AI and how rapidly it’s changing, we expected them to potentially be out of date soon, and so we have various types of resources linked. One example that we reference on our book and that we feel that people may want to explore in more depth, too, are the same prompts that we included in the book are included in a document that is linked in the site. And we feel this is important, because if anyone is reading the book and they feel that they want to try out something, instead of going to ChatGPT and having to write the prompt from scratch, they can just go to this document, copy and paste and have the prompt ready to go. And then we also include some additional research or additional resources that can be useful for people who are interested in learning more.

Rebecca: One issue that students are definitely concerned about is the effect of generative AI on their job prospects. What types of jobs are most likely to be affected and will the widespread availability of AI assistance reduce the productivity difference between skilled and less skilled workers?

Dan: So, I can see that John was behind this question, because I know he’s an economist, and I’ll be curious to hear your views on this. As part of the job that I do here at the Kennedy School, I started co-teaching a course on generative AI, and we had a session on generative AI and jobs. And so I think the short answer is that I don’t think anyone knows for sure. So people are trying to understand how these tools can be helpful. I find historical evidence about technological breakthroughs to be at least informative, but there are people who say that we’ve never had any technological revolution that was as disruptive as this one. And so those people basically say this time is different. But the one thing I would say is, if you study technological innovation in the past, almost every time, people have said this time is different. [LAUGHTER] So I’m not sure what to make of it. Maybe this time is indeed different, but I think at a super broad level, I think we’re not gonna run out of jobs. I think some jobs will disappear, and some jobs will substantially be augmented by AI, and some new jobs will be created. That’s my best guess as to what will happen. Students who go to college, my sense is that they will probably be in a relatively good position to take advantage of AI. But if I had to give students advice, is to take advantage of the opportunity of being in school to learn how to use AI in a productive manner. I think we tend to sort of think that our students will figure it out quickly, but I do think that there’s ways of using it that can help students learn more effectively and just to work more effectively. Whether it will reduce the gap between skilled and unskilled labor. I think that feels to me that there are different sides of that argument, so I leave that up to you, John, to sort of say in which side you’re in. On the one hand, some people say that it’s substituting cognitive work, and therefore it’s going to reduce the gap; It’s one of the technological innovations that seem to be displacing more of the cognitive work than previous technological innovations. On the other hand, it might be precisely for the skilled labor for which the technological innovation can help increase their productivity.

John: Yeah, it’s really early, as you said, and it’s really hard to guess where this will be heading, but some of the initial studies, I think, have shown that it’s tended to raise the productivity of less skilled workers, or less experienced workers, relative to those of more skilled workers, which could reduce some of those gaps and perhaps narrow some of the pay differentials. And we don’t know in what direction that will go.

Dan: It could.

John: And on a broader level, there’s the whole issue of AI raising productivity of workers, which could result in substantial gains for society. But the question is, how are those gains going to be allocated? Will they show up in the form of higher incomes for everyone? Will it be concentrated among the firms providing AI tools and services, or will these be shared? Could we end up with that 15-hour work week that Keynes predicted way back in the 1930s?

Dan: I’m skeptical that we will end up in the leisure society of 15 hours a week, because one of the people that I follow on this topic is David Autor, a professor at MIT, and he argues, I think convincingly in my view, that we as human beings have an insatiable sort of capacity and demand for new products and services, and I think that’s going to feed the next generation of products and services that we will want to consume. And if you think about occupations that existed at the beginning of the 20th century that no longer exist, and now there are occupations completely new that didn’t exist before. And my sense is that 20 years from now, there will be occupations that we didn’t even think would exist. So my best guess is that it can have a positive effect on productivity and therefore increase in general economic well being, but I don’t think it will increase it to the point where we’re all gonna work less. I suspect that the two of you will work just as hard, even if AI could do half of your job. Maybe you’ll create a second podcast. Maybe you will do some other thing that will keep you occupied. That’s my best guess. But again, this is highly speculative. I don’t really know what’s going to happen.

Rebecca: Dan, I feel like you know John really well. [LAUGHTER]

John: And the work week has been stuck at about 40 hours since the 1940s or so, roughly.

Dan: I do want to sort of at least mention very explicitly that, even though the tenor of this conversation is one that is positive on AI, there are obviously lots of challenges and risks. On the Teaching and Learning realm. Angela already mentioned, but AI can be used in ways that hinder learning, that are not going to help learning if students start using it just to do homework for them instead of with them. So I think there are many, many challenges and risks inside the teaching and learning realm, and there are obviously huge societal level challenges, just to mention a few: misinformation and disinformation, challenges of intellectual property, challenges of jobs that we have just discussed. There are some people who are really worried that, even though, in the long run, we might not lose jobs, the reality is that some jobs will disappear, and so do we have a strong enough safety net to be able to help people transition from one kind of job to the other? And there are obviously existential risk that people talk about, what AI could do if it were out of control… so beyond this podcast. But just to return to the job of an educator. I think if you’re an educator and you’re not using AI, we suggest that you at least experiment to see how it could help you advance your teaching and learning goals, and maybe even try to sort of see how your students are using generative AI, because that would be very instructive in terms of you hinking about how you can use it to stimulate their learning.

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

Angela: For us, the hope is to get our work out there to as many educators as possible that could benefit from it and continue learning, because there’s so many changes that are still going to happen, and so many that we don’t know. So staying open to learning and to exploring how to incorporate this technology for better teaching and better learning.

Dan: I agree with everything that Angela just said. I think for me, I’m fascinated with the potential of generative AI helping us learn. Not just help our students learn, but help us as educators learn. And so to me, it’s like incredible to literally have available 24/7, a resource that I can ask questions and have conversation with in ways that wasn’t possible before. So in terms of what’s next as an educator, I’m very curious to continue this journey. As an educator thinking about our students, I’m just literally fascinated just learning how they are using some of these tools. And if you could do one thing as an educator, maybe create space for them to not just use the tools, but share with you how they’re using it. So it could be something as simple as you build into an assignment, answer this question, and then go into an AI tool, get some feedback, and then tell us how useful the AI tool was for you. And I think you’ll start discovering some really, really interesting uses that, as Angela said before, get closer to fulfill the promise of personalized learning that we have been sort of exploring for many years.

Rebecca: Well, thank you so much for joining us. This has been a fun conversation.

Dan: Thank you.

Angela: Thank you so much for having us.

John: Thank you. It’s an exciting topic, and thank you for helping lead people along in learning more about AI and how it can be used.

Dan: Well. Thank you, John and Rebecca, for the work that you do to illuminate us, not just in use of AI, but in so many topics related to teaching and learning, you do a huge service to the teaching and learning community. So thank you very much.

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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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366. Connecting to Core Values

Engaging and motivating students starts but doesn’t end with inclusion. In this episode, Bryan Dewsbury joins us to discuss ways of connecting class content to students’ core values to prepare students to productively engage with their communities as we work with our students to make our disciplines more equitable.

Bryan is an Associate Professor of Biology at Florida International University. He is the Principal Investigator of the Science Education and Society research program, an Associate Director of the STEM Transformational Institute where he directs the Division of Transformative Education, and a Fellow in the John N. Gardner Institute. Bryan is also one of the co-authors of The Norton Guide to Equity-Minded Teaching. He is the developer of a free MOOC on Inclusive Teaching, offered through the HHMI Biointeractive and Science and Education Society. Bryan is a highly regarded keynote speaker and workshop leader.

Show Notes

Transcript

John: Engaging and motivating students starts but doesn’t end with inclusion. In this episode, we discuss ways to connect class content to students’ core values to prepare students to productively engage with their communities as we work with our students to make our disciplines more equitable.

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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 Bryan Dewsbury. Bryan is an Associate Professor of Biology at Florida International University. He is the Principal Investigator of the Science Education and Society research program, an Associate Director of the STEM Transformational Institute where he directs the Division of Transformative Education, and a Fellow in the John N. Gardner Institute. Bryan is also one of the co-authors of The Norton Guide to Equity-Minded Teaching. He is the developer of a free MOOC on Inclusive Teaching, offered through the Hhmi Biointeractive and Science and Education Society. Bryan is a highly regarded keynote speaker and workshop leader and he recently provided the keynote address at the Academic Affairs Retreat here at SUNY-Oswego at the start of the current semester. Welcome back, Bryan. It’s good to see you.

Bryan: Thanks for having me back. I hope that the welcome back means that I was good the first time. [LAUGHTER]

John: People are still talking about your keynote. They were really impressed.

Bryan: Well, I’m glad you all enjoyed it. How are you all doing?

Rebecca: We’re doing great. Today’s teas are:… Bryan, are you drinking some tea?

Bryan: I’m not right now because I actually did have some for lunch. So I’m on campus right now at FIU, Florida International University, and I had lunch with a colleague, and we did have some tea. So, does earlier count?

Rebecca: Sure. Do you want to tell us what you had earlier?

Bryan: I don’t know if I said this in the last episode I was here, but I grew up in Trinidad. I know I said that part, but when I was growing up, the main tea that at least my mother would buy is Lipton. Like it’s almost to the point where most of us didn’t know there were other types. [LAUGHTER] So you come to America and you see, like 19 labels in the grocery, but of course, because of that, that’s kind of the tea I like the most, because that’s just what I was used to. So when I do see it, I like to have it. I’m not a big tea drinker. Oh, that sounds like sacrilege to the podcast, but when I do drink tea, that’s sort of my preference, and it’s just maybe kind of a nostalgia thing. So that’s what I had.

Rebecca: That makes sense.

John: I have a tea which is new to me. It is a black tea with cherry from one of Rebecca’s local tea shops, and I forgot the name. I had to rush here from a meeting, so I didn’t get a chance to jot down the name. But it’s delicious.

Rebecca: Oh, I’m glad you enjoyed it. I’ve mentioned it before. I think the smell of the cherry teas are really good, which enticed me to buy them. And then I discovered I like, absolutely hate the flavor of cherry teas.[LAUGHTER] And so I gifted them all to John because he likes them. I have just a Scottish afternoon tea today. John.

John: Very good.

Rebecca: Nice and plain, without any cherries. [LAUGHTER]

John: We’ve invited you here today to discuss your work on inclusive teaching. Could you tell us a bit about how inclusive teaching has become a substantial focus of your work?

Bryan: Yeah, so it’s a good question to answer, because, how do I put this? I actually don’t think it has. It has, but it hasn’t. Let me explain why. I do talk about inclusive teaching a lot, but the real focus of my work is education that is designed in a way that everyone can access it, and when they access it, they can be their best selves in that experience. And when they are their best selves, then they become this really engaged, loving, thriving participants in an evolving democracy. That in three sentences, if that was three sentences, that’s the thing we are trying to unpack as a group, not just through research, but through communication, through professional development. And so the inclusive part is a step towards that big a goal, because for the thriving to happen, for the access to happen, we have to sort of figure out, what are the barriers that are currently present that don’t allow people to be their best selves when they’re in a classroom, that don’t allow students to access certain institutions, that don’t allow them, even when they do access them, to graduate with the kind of credentials and the kind of mindsets and ways of knowing, ways of being, that allow them to understand how crucial it is for them to be engaged participants in a democracy. So inclusion is part of the riddles that we are trying to solve, but it’s not the end point, and to that extent, we have written a lot about it, I’ve talked a lot about it, but I think it’s important for people to know that our goals are bigger than that, without diminishing inclusive work, our goals are much bigger than that.

Rebecca: Can you talk a little bit about your work in the STEM Transformational Institute in particular? I think it’s interesting in that role, how the role of democracy in your work, in moving democracy forward, fits into STEM because we don’t always hear those in the same sentence,

Bryan: Yeah. Well, yeah, or never, right? So I think that there’s two questions you’re actually answering. So I’ll talk about the institute first. It’s a pretty remarkable group. I’m one of several fascinating individuals who work here on the faculty side. Many of us, like myself, have a departmental appointment, whether it’s biology, engineering, physics, math, chemistry, and some other percentage of our appointment is with the Institute. What that allows is most… all of us, actually… were trained in some STEM discipline at the undergrad and PhD level. And so we can teach the classes. We can teach basic science classes. We can think about that ecosystem and that culture, right? Biology culture, physics culture, but discipline-based education research compared to other fields of research in biology, physics, or any of the above is relatively recent. And I think there is an understandable challenge of traditional STEM scientists in understanding and evaluating the kind of work that people like myself do. And so having a place like the STEM Transformation Institute creates several things. Number one, a community, for those of us who are thinking about education research in STEM to collaborate, to be in community, to ask questions, to write grants together. But also, there’s a mechanism for us when we kind of go through the ladder process for the STEM transformation Institute, to contribute some kind of understanding, to put all packages in perspective. Obviously, when you have this amount of faculty, and I think it’s maybe 20 of us, I can’t remember the exact number, some economies of scale benefits come with that. And so you can write bigger grants, because you have the intellectual capital there, you can have much more collaboration across the different STEM disciplines and with non-STEM disciplines. And then the Institute also has a unit called FIUTeach, which mainly focuses on training pre-service STEM teachers, a pretty robust, maybe the nation’s largest learning assistant program, undergraduate learning assistant program. And there might be some other pieces to it, but those are kind of the three things we tend to be known for on campus. So now, pivoting to your question about STEM and democracy, without taking up your whole podcast [LAUGHTER] giving a history lesson on Enlightenment thinking, the STEM instruction that we are seeing in classrooms today is really a product of maybe, I would say, a mix of the post-World War Two US higher ed-government alliance that kind of proliferated at that time, and the Humboldtian model of graduate education that became popular in the early 1900s. I think John Hopkins may have been the first place that some of that started and then some of the Sputnik-era stuff. And so the way too superficial summary of it is, if you were trained as a subject matter expert in STEM, your role in class was basically to tell people stuff. It wasn’t, perhaps said explicitly, but you were a big gatekeeper to that information. Because, remember, there was no World Wide Web, there was no Google search. In some cases, there wasn’t even really a lot of textbooks, right? And if there were, prohibitively expensive. So the only way you got to find out how big the glaciers were in in the Arctic was to hear the person who got on the boat to go there to talk about it. And there’s some other pieces to it. And I would encourage listeners to read the book Amateur Hour by Robert Zimmerman, because it’s discussed way more specifically and way better than I’m describing it, but there was some gender dynamics to this, because remember the normal schools that existed in the 60s and 70s, and who were the faculty there, and then, because of that association, how college faculty felt about teaching as a skill in and of itself. So there’s a brief period where there was some discussions about college professors getting trained. That died. [LAUGHTER] That didn’t last very long. So okay, I’m saying all of that to perhaps take us even further back to the role that Enlightenment thinking played in the Declaration of Independence, and more specifically, the influence that Enlightenment thinkers like John Locke, in particular, who wrote Treatises of Government played an influence in Thomas Jefferson and some of the language that you see in the Declaration of Independence, and I’m thinking of one line in particular: “We submit these truths” to “a candid world…” Book recommendation: Jill Leporie These Truths, some of this is me interpreting her writing. It’s basically kind of saying, Look, man, we have these 13 colonies, we’re gonna try this out. We’re not gonna get everything right. We’ll see what happens and we’re gonna have to keep working at this. And in the same way, the scientific method and Enlightenment thinking comes with some expectations of critique, self critique, public critique, falsification, seeing new evidence and changing your mind on things and all of the above moving towards the sense of whatever you’re trying to understand. It improves over time because you are willing to keep refining and refining and refining. So in so doing, STEM, or specifically, science, has so much to teach us as citizens of a nation that is constantly trying to improve and what an improvement process looks like from a social perspective. And this is what I tell students: same when you collect data and okay, right now, it seems like you can’t disprove your knowledge, however you want to put that, but somebody’s going to come across and collect different data and critique those assumptions and improve on your methods. And that’s how we have vaccines that could be made in like two hours now, right? I mean, I’m exaggerating. So that same humility you have to display when you approach your intellectual pursuit is the same humility that I’m asking you to think about when you are in the public domain, when you are at church, when you are listening to news, when you are making consumer purchases, when you are listening to information come across your television. When you have to absorb all of the endless data that exists out there, that same critical mindset, but also mindset of humility that we ask of you in this culture of science and the culture of STEM, that has transferable lessons to other parts of how you live your life. And I think it’s a very under discussed component of STEM teaching, of how just STEM itself and science itself, the practice of science, is discussed with students. And I guess, Rebecca, what I’m basically said to you in five minutes is that we lean heavily into it, right? We talk about these things openly.

Rebecca: That’s great.

John: And we’re living in a world where we do need an informed citizenry, because there’s so many sources of information out there that are not so reliable, and the development of those critical thinking skills are incredibly important right now, given all the various sources of misinformation.

Bryan: And part of it too is I’m only… I don’t know if I should say only… but I’m 44, so I’m old enough to have grown up in a time when you had to go to an internet cafe to check your email for $20 an hour. We lived through this just remarkable transition of information ubiquity. I mean, I had a Encyclopedia Britannica set from A to Z like my mom used to joke with me, I would read it like a book. That’s how nerdy I was, right? And I remember looking at those 18 books or whatever, and thinking like, how much information is in here. You have that times infinity at the click of a button. I would just wonder, if we don’t pause long enough to reflect on what a sea change that is in terms of having easy and quick access to information. Now, that’s not the same thing as having knowledge. [LAUGHTER] So now the challenge has shifted. So if maybe initially it was being able to access that information and knowing all of the beautiful things that is happening around the world, now it’s how do you sift from all of this to pick out the information that’s useful, that’s credible, that’s reliable, that’s truthful. And I think our teaching and the way we think about teaching needs to shift with that. I don’t know, man, sometimes John, Rebecca, I have all due respect for online classes, this is not like a for or against, but I’ve always taught in person throughout my career, and I just absolutely love it. But as a commodity, and using the class that I teach a lot, intro bio, all of the learning outcomes I have in my syllabus, all of them, you can find a very good lecture on YouTube for free. You’re not gonna find maybe the test bank and all that. I get it, all of that, right? So in terms of accessing the information that we talk about in the class, the tuition and the three credits, and Bryan Dewsbury, I’m not a buyer. You just need a laptop and good working internet. So what is the added value I provide? What’s the added value that the institution provides by asking you to fork over a tuition check and housing and gas money to get to campus and all of that stuff, to physically be here. And I’m really curious, just as a thought experiment, if you were to put that question to all instructors, what will we say? What can we honestly say? Maybe 10,15, 20 years ago, you would say, “Well, how else would they know how DNA replicates? [LAUGHTER] I got a PhD in DNA, so therefore I have the right to tell you, right?” But I don’t think that argument holds as much water anymore, any water. And that, to me, is not perhaps the challenge, is the opportunity of the new information landscape.

Rebecca: It’s interesting that you bring up the encyclopedia in that kind of curated experience, but there’s also curated experiences online. Sometimes it’s hard to find those curated experiences to know that something’s of good quality, but even if it’s a curated experience, and even if it’s an inexpensive or free experience, you still have to have the motivation and the determination and the context, maybe, to put the pieces together to kind of figure it out on your own. [LAUGHTER] If you have something on the side, like you’re trying to do. How many of us have tried to sit and learn and do something on your own? I’ve been sitting and trying to crochet in the round in the evening, and I sometimes get frustrated using a video. [LAUGHTER] I want someone to show me how to do it, like, sit there and I can ask questions, and I want it to be interactive. This is just one example of just a thing that you want to learn from a person and have a dialog and be able to troubleshoot and have someone’s expertise to work through. And you think about the opportunity that you have as a faculty member to curate experience with readings and activities and classroom experiences, and then faculty maybe complain that students don’t engage in that full experience, and sometimes it’s because students can’t quite figure out what’s relevant to the next step or whatever. Can you talk a little bit about some of the ways that you might connect those assignments or other things that you’re doing in your classes to give students that relevance, or to actually answer your own question, like, what is it that we’re doing in our classes that give the students the reason why to come to class or why to do this experience, as opposed to do it on the side?

Bryan: Yeah, great question. Rebecca. So I’ll give you three examples that address your question, perhaps in slightly different ways. To me, another way of asking your question is when we do something in a class or when we have things in our syllabus or curriculum, why is it worth doing? That is a fair question for somebody, especially at the prices college is asking students to pay. That is a fair question to ask. And there are perhaps too many situations, maybe not intentionally, where there is an implicit eat your vegetables approach in that, “because I said it’s worth doing,” right? Like I have the great book, and I’m the PhD, and it’s worth doing, and so therefore you should believe. And I think my first part of my answer to you is to make that “why” more explicit. So we start the class not even talking about bio. First assignment is a reflection assignment that I shamelessly stole from National Public Radio called “This I Believe,” it’s on, it’s a public website, it’s: thisIbelieve.org/guidelines and the prompt asks… I’m summarizing here: “Describe the values that shape your deepest passion.” Before we get into anything technical. I want us to start this community by reflecting on what your why is, because your why, if you understand that clearly, or if you at least begin the mental process of exploring that, that is a big of why you’ll be motivated to be your best self, pursuing the technical piece. This could have easily been, you show up and I give you a bunch of materials, you show me if you know it or you don’t know it, and move on. But forcing you to really ask: “Well, why pre med? Why medicine? There’s so many things you could be doing in biology. There’s so many other great things you can be doing with all the other majors in this school. Why that choice?” So that sort of begins a very particular kind of conversation, because I expressed them my why and why I chose to be a professor, and why that was exciting to me, and why I love this class and love them. The second thing is, when we’re doing certain activities, regardless of what the subject matter is, they are implicit behaviors in how you do a technical task and get a solution that I think in a lot of times in a lot of teaching approaches, it happens as a function of the class, but it’s not made explicit that those behaviors are very important skills that you should be developing as you go forth as a technical expert. So when you put students in groups, for example, it might make things easier to grade, because now you’re just doing x divided by four or whatever assignment, there’s that piece. And I understand, like, you know, what the active learning literature says about group work and things like that, but what you’re really doing, my friends, is you’re teaching people how to work with difference. If you set those groups up right, If you talk about what positive group behaviors look like, what implicit biases look like, you are preparing them for a world of work, a world of engagement, where they will be in one type of group or the other. I can’t think of a profession… well, I could think of one, but not that many… where you will essentially be solo and so some of those group behaviors that really makes group work effective, like active listening, respecting silence, by hearing different opinions, being willing to accept critique, being able to give respectful critique. We have whole discussions about what that’s like and why it’s important. So it’s not just going to groups, and we hope everything works out. It’s going to groups, and this is a thing, and in order for this thing to go, well, let’s actually have a discussion about why that thing matters. The third part of my answer is, at selected points in the semester we try to make, or not try, we make very clear the ways in which scientific practice intersects with society. And this is where I think people get a little confused, perhaps, about what we mean by inclusive or equity-minded teaching. I remember once I saw on Twitter, and I know Twitter is what it is, right? But somebody put a statement that said, what is so inclusive about the mass of boron? [LAUGHTER] And I get where they’re coming from. I get why they would say that, but it, of course, betrays a misunderstanding of what we mean when we talk about inclusion in a classroom, there’s a lot of technical things that we discuss in an intro bio class, and not everything we talk about, we sort of bend over backwards to then relate it back to some social context. But there are things that do allow themselves to make that connection very, very clear. And the connection basically comes down to: science doesn’t exist in a vacuum. Science is done by people, and the people is human beings who ask those questions. Human beings ask those questions, and human beings decide which questions to ask. They decide which questions are the important questions to ask. They decide when they ask those questions, and they carry out studies, they decide how those studies are conducted. And they don’t only decide how those studies are conducted, they interpret what data they collect from those studies, and they write the narrative that comes out of that analysis, that comes out of that interpretation. This is not to demonize any particular individual who does anything on any one of those steps, but it is to point out the reality that since the bridge between the existence of nature and life and life science and our understanding of how this works, if the bridge is the human being or human beings plural, who help us to understand that, then by definition, the social positioning of that individual, of those individuals, may sometimes color how we come to understand the world as a collective. And we have slight examples of this: that they took, what 10, 15, years to ask what female chimpanzees did, because only men were in the field, right? And then we have very, very dark examples of this when we thought eugenics was a real thing and we were sterilizing disabled people in North Carolina. So throughout history and even today, we are saying to students that you will go forth to be some wonderful whatever you plan to be, whether it’s medical doctors, whether it’s health professionals, public health, whether it’s research scientists, whatever it is. And there will come a time when you will be a decision maker. You will be the one they come to to try to understand, how do we reduce COVID rates? How do we keep people safe? And when you get this, it’s important for you to understand that COVID doesn’t care who it infects, the differential rates of deaths and the differential rates of infection is not because the virus itself made that differentiation. It is simply following a pathway that was already constructed along social lines. And so if you really want to get at the root of the problem, you have to understand how those social lines were constructed. I’m not saying you have to get a PhD in Sociology, but I’m saying I have to know enough to be dangerous. And so that’s the argument that’s made to talk about Flint, Michigan when we talk about the effect of lead on the nervous system. That’s the argument we make to talk about Tuskegee when we talk about the study that took place there. And it’s not to say, and this differentiation is important, This is not to just say that “Hey man, America is a terrible place. We’ve done some really terrible things.” I mean, we have done some terrible things in history, but what the goal of that discussion is to say “but we can learn. We can do better.” We have examples of looking back and saying “That was a mistake.” As a social science researcher, every study I do, I apply for Institutional Review Board approval because those things happened. It’s unfortunate that those things had to happen, but now we know better. So it’s important that that piece is there because sometimes, unfortunately, the narrative or the interpretation of having these discussions is you’re just trying to make people feel bad. You’re just trying to make America to be this terrible place. And no, no, it’s a great place, because of the capacity to learn. So anyway, I hope that answers. Those are the three parts all woven together, Rebecca. I hope that’s fine.

Rebecca: Thank you.

John: So. much of what you’re discussing there is just finding ways of helping students connect what you’re teaching in classes to their own lived experiences, rather than just seeing it as this isolated material separate from the societal context in which it exists?

Bryan: Yes. Yes would be the short answer to that. And just to get into the specifics, right? I mean, I think sometimes a listener might hear like, “Okay, now do I have to go and find out every single student’s life specifics and find something that connects to that? And again, I’m not saying that that’s what you have to do. I think it’s good, and I appreciate that some people have very large class sizes, so sometimes some of these strategies can become overwhelming, depending on what your load is. But there are low-lift ways to get a sense of who your students are, where they’re coming from, what was the class they took before yours? If you’re at an institution where there’s sort of a very set matriculation pathway. If most of them are coming from local high schools, there are ways for you to get at least a summarized sense of the students that you teach. The other piece to it, though, is not just like, what’s your community, let me make it relevant. The classroom is also a place where you hopefully get introduced to an understanding of the world that you may not have encountered had you not come to that classroom. Part of the beauty of teaching is the ways in which we open students up to new experiences, new ways of thinking, including ways that may challenge the ideologies and ways that they had before they walked in the door. I’m not saying that this is what you were doing, John, but sometimes people think about culturally relevant teaching, and it gets trapped in a “if you’re from this neighborhood, let me talk about this neighborhood.” It’s like, well, no, it’s way more than that. It’s way more than that. One of the blessings of a country like this is the amount of diversity there is across so many lines, and you need to have to physically live next to the diversity, to know and learn and appreciate and just see its beauty. This is another place that college does it just through the classes, through texts, through learning, through studying, through inquiry, you learn more and more about the world and yourself. So it’s a little bit of both.

Rebecca: Along the same lines, one of the great things about being a faculty member is that same thing, that the students bring some really great experiences that we haven’t had either, and allowing them to bring their stories and experiences into the classroom allows us to continue to grow and learn on a constant basis too. It’s great when they can bring those things too.

Bryan: I mean, especially when you grew up going to internet cafes to use the internet. At this point, they’re coming in with high-speed computers in their pockets, right? [LAUGHTER]

Rebecca: Yeah.

Bryan: They grew up in a completely different environment. [LAUGHTER]

Rebecca: So you started off explaining how you get to know your students a little bit at the beginning, you start not even talking about biology in a bio class. Can you talk a little bit, maybe further down the line in the same class, and how civic engagement may enter into that same course later down the line?

Bryan: Yeah, so and this, you can perhaps consider this more social context than civic engagement, but I just so love this assignment and love the kind of discussions that come from it. We talk a lot in bio class about DNA as a molecule and all of that stuff, and it’s chemical structure. But we also spent some time talking about what led to the discovery of DNA. It’s a fascinating story. It’s a story about a time when there were not that many high-resourced labs in science. And so you can look up the book Double Helix, if you want to get a fairly brief version of it. But there’s also a story where if you were a woman in science, how the community responded to you, was very different to how they do now, although they’re pretty well documented cases where, not in all cases, that have changed, right? And so it does open up a conversation. First, we talk about the lack of credit that Rosalind Franklin initially did not get, but then we also talk about where we are now. There’s a really good documentary called Picture a Scientist solely focused on that issue, and we have discussions about why those things matter, and the role that power and hierarchies and power dynamics play in the experiences that people have. And I really want to emphasize, this is not to say I’m preparing you for a doom and gloom world and everything will be terrible. I’m preparing you for reality. And the reality is, I certainly wish for you a lot of great experiences, and I think you will mostly have that. But the reality is there’s still a lot of work to be done for us to get to the place of equity that we claim we have, [LAUGHTER] and the discussion of the gap between what we think we have and where we need to be is really my invitation to you to help work on that problem, but also to be aware of what may come when you get there. And I hope listeners take my comments in that spirit. So to the extent, Rebecca, that’s sort of an example of what you might encounter when you get out there in society. That’s one example of a conversation that takes place.

John: In addition to the issue of trying to make STEM classes more engaging for students, one of the problems that we see is that there’s some pretty significant differences between the DFW rates for first-gen students, for Pell eligible students, and students from historically minoritized groups, which is tied to differences, in large part, in the quality of education that they receive, and that serves as a barrier where many students enter into college planning to go into a STEM field, but end up not being as successful and then either transferring into other disciplines or leaving college altogether. What are some ways in which we can overcome the opportunity gaps that students face if they haven’t come in with as strong of a preparation for success in STEM?

Bryan: So a couple years ago, I published a paper about inclusive teaching methods and active learning methods, and a big crux of that paper, we talked a lot in the paper about what we did in the class and how much we cut content to really focus in on this sort of very social relationship-driven model of teaching. And in that paper, we not only reduced the DFW rates that you just described, John, but also when that group went on to future classes, they did fine, not just fine, they actually did better comparatively to peers from other sections. And some people, perhaps who hadn’t read the paper yet, kind of assumed that when we said everybody did fine, it meant everybody got As. And that is not the truth. We have a pretty high pass rate, but the class size average over the years that I taught it was in the 150s, it was a large class, and then maybe 10 or 15 years, there wasn’t a ton of students who… we had a very diffuse assessment model, a lot of quizzes, a lot of case studies and other stuff like that. And so what I’m saying that to say is that I don’t want people to feel that, for students who may come into your institution, who had 18 years of a social structure that wasn’t set up to engineer the best out of them. It is very difficult to right all those wrongs with one semester of an intro class. Now, at the same time, I can hold multiple truths in the same conversation, it is all well and good. In fact, this is just my personal belief, I don’t know if everybody shares it. I do believe, no matter what your circumstances are, even if they were really terrible, that within you there’s your potential to be great at science. There’s a potential to be great at biology. The question then becomes, given all of that history, what is needed to get you to a place where you can see that and take the reins of the chariot and go be your best self. And sometimes that may mean half of that first semester. Sometimes that may mean two semesters of Cs or failing a class and coming back. But the important thing is, I start from a place of the potential is there. I don’t know when the light will start to shine, but I’ve been doing this job for now almost 11 years, and I’ve been with students It took years for that light to switch. So what would happen, I can just tell you, on the ground with that intro bio class, for some of them that turn around point came like nine weeks in, and it’s one of the most satisfying and gratifying experiences as a teacher. When you see that student is like, “Ah, it’s not that bad.” And of course, by that time, there isn’t enough assessment for them to magically get an A between mid-October and December, but they might get to C plus, might get to B minus. They have to really nail a bunch of stuff. But here’s the difference, when they start the second semester, not with me, when they start the second semester of the institution, your now a different person. You’re not the same person who came in first year not sure of yourself, not confident, didn’t think you belonged in science, had a fixed mindset about math and all of that stuff. No, no, no. Now you know, yes, if I have the right strategies, I have proven to myself, and some of this is coming straight from motivation theory. I have evidence that if I take the right approach, good things will happen. And that’s why I brought up this paper. That’s why those C pluses in first semester turn into As in their second semester, because you’re not dealing with the same student. So that in a nutshell, is my lesson, in that there’s a whole discussion to be had about primary and secondary education. There are brilliant people having those discussions, read everything. Diane Ravitch writes, that’s a whole discussion we need to have in this country. There is also a role that institutions of higher education can play in that discussion, but specific to people who are privileged to teach classes, especially at the introductory level, that to me is a mindset I would like to have, assume the best, assume that it’s there, and know that the work that to teach, if I had to define teaching, to teach, is a degree to which you can walk a student from their current state of readiness to that place where they see what their potential can really be. That, to me, is the act of teaching, the content is part of the mechanism of the vehicle that drives that process. But teaching is a process, and that’s the process,

John: So encouraging a growth mindset is really critical to this process, it would seem. But the other thing is, you’d have to design your course in a way where you can’t use too many high-stakes assessments, especially early on where students could get deterred. You need to provide some mechanism so that students can, by the end of the class, get those Bs or C pluses and so forth, right?

Bryan: So, yeah, I mentioned earlier in this conversation a diffuse assessment model, right? And that’s done on purpose. So the psychology behind the high-stakes assessment, especially ones that are early. If it’s super high stakes and very early and they don’t do well a couple issues: One, mathematically, it makes recovery very difficult, you’re already down to a B minus after exam 1, you don’t have much wiggle room to even pass the class; the second thing is, and this is why I like to talk about teaching as a process and a relationship, because there’s a psychology to it… there’s a psychology that you need to understand, especially with first-year students, and what it means to transition into this environment. We don’t have enough time on this podcast today to summarize all the literature on emerging adulthood, on sense of belonging, on John Henryism, that all these things that are invisible, that are in the air and that even the students themselves may not be able to articulate, but it’s happening. And so what it means to be a teacher and be able to read the subtitles and see how certain behaviors are indicative of some of those processes happening, that’s the challenge. So your high-stakes exam, especially that first one, could be simply measuring the presence of those psychologies, not actual ability, not actual learning. You can just be capturing the fact that somebody is scared to death. You could be capturing the fact that somebody is carrying the weight of a generation at home and you must be a doctor, you must be this, you must be that. And that’s high stakes. This is playing out on that exam. They’re never going to say it to you that way, but it doesn’t mean it’s not happening. [LAUGHTER] And so part of the diffuse assessment model is to say, “Look, I am going to do my best to design assessments that accurately reflect learning, and the stakes are going to be high enough that I think you will take this seriously. But the goal of these assessments is to provide both of us, myself and you, the student, information that gives us some sense of where you are in this learning journey. And when we get that information, depending on what it says, we can have a discussion. We can have a specific discussion.” And I can say things like you do really well on recall questions, but you seem to struggle when I say explain. You have all of the language of this process in there, but it’s actually not coming together as a story. I can give you feedback that’s very, very specific, because with the sort of fixed/growth mindset dichotomy, giving you things that are changeable is what gives you an opportunity, it gives you an avenue to change your behavior. If I just said you need to try hard, what does that even mean? So I hope I’ve been underscoring the deliberateness of everything, everything, even from the way feedback is given, to how and why we set up exams in certain ways and how much we do. It’s all based on, again, this philosophy of teaching is a process.

Rebecca: I think we often use the word specific and say specific all the time, but you’ve just illustrated what you mean by specific, which is really helpful. So it’s really fun to talk, and we could talk forever and ever and ever, because there’s lots of fun things to talk about, and you’re teaching such interesting classes in interesting ways. But one thing we want to make sure we get to before we wrap up today is the asynchronous class that you’ve developed on inclusive teaching. Can you talk a little bit about this course and who the target audience is?

Bryan: Yeah, so this course was a collaboration between my program and Howard Hughes Medical Institute Biointeractive Program. It is based on a paper I wrote back in 2019 called “Deep Teaching in STEM.” The secret is that, yes, it says STEM because it went to a STEM journal, but the things we talk about in that paper really applies to all teaching. The other secret is that there’s nothing in that paper that’s particularly new. It’s just that we in STEM had ignored it for so long, and so perhaps that’s why we felt a need to re-center some of those ideas that, oh, by the way, it might be good to build relationships with your students and know who they are as people, and not just treat them as student ID numbers that need a grade. So that paper talked about five components that goes into what we call deep teaching, and those components then came to represent a module on that massive open online course. One of the key features of that course we wanted to really model was the very sort of introspective, spiritual, even soulful, way we think about teaching and we are asking listeners and participants in that course to be reflective. We wanted to model that in how the course itself was delivered. So we were very selective in who we asked to guest lecture, and the nine lectures are very, very long. We’ve infused at the end of each module. So there’s a main module, and there’s sort of four sub-modules that represent each component. Every main module, one of the sub-modules is an artistic piece. So we commissioned a painting. We had poetry, spoken word, even a Negro spiritual, and it was not random. They all thematically connected to what the module is talking about. And it was built in a Canvas shell, which is, as a MOOC, it’s free for anybody to access. But also what we’ve done is we’ve been working with a lot of universities who uploaded it onto their own Canvas shells and running faculty learning communities with a local facilitator going through the LMS. And the course has many practical, specific things. You want to think of a reflection in your course, here are some examples of prompts. So you want to have more transparency in your assignment, consider Mary-Ann Winkelmes’s framework. But what it also has, especially because of the nature of the way the course was set up, just a lot of moments for reflection. We didn’t want it to feel like a worksheet. You just go through this, do that. Go through this, do that. Like, when you hear somebody talk about motivation, like, think about when you were motivated, what made you motivated, and sit with that reflection, because that sort of empathetic approach is what really is going to make the course impactful for you. There are many 1000s of people who’ve just done it by themselves and have found a lot of meaning for it, but we’re really having a lot of fun seeing universities do it as a FLC on their campus. So that’s a nutshell. I think the web name is a little long for me to remember, but I know if you just Google inclusive teaching biointeractive, it should be the first thing that pops up.

John: And we’ll include a link to it in the show notes as well. I see that you have two books coming out in a little over the next year. Could you talk a little bit about those?

Bryan: Yeah, so it’s actually three, but one is not in the next year, right? So the two that I’m working on, one I’ve been collaborating with just a wonderful group, Peter Felton, Isis Artze-Vega, Dan Bergen, and Leo Lambert. Leo nd Peter wrote a book a few years ago called Relationship-Rich Education, which is just phenomenal, and that has led to a few follow ups. So we’re working on one of the follow ups to that project, so more details on that soon when that’s a bit further along. The other book, I’ve been collaborating with a colleague on campus. We’ve been interviewing people about telling personal stories, about times when they either felt a sense of belonging or have not felt a sense of belonging in STEM, and as somebody who comes from a storytelling background, from a literature background, the use of this discipline and this art form and this communication style, I think, is an underused approach in science in general, especially when you’re trying to convey something like that. And so I’m just very grateful for those people who’ve been willing to share their stories with us. So that will come on as an anthology, and, I guess dates TBD, but pretty excited about it.

Rebecca: Those both sound like really exciting projects. So we always wrap up by asking: “What’s next?”

Bryan: Well, I would say what’s next, like my most sort of next next, so I’ve been part of a group, a Gates Foundation funded group that has worked pretty hard over the last couple of years doing a landscape analysis that trying to identify what are some of the things that institutions around the country are doing to do equity-minded practices, especially in the intro classes. And that landscape analysis incorporated a lot of things like document analysis, interviews, data mining, and things like that, and we are launching the findings of our analysis as a report on October 25 in Washington, DC, at FIU, in DC’s campus there. It’ll be a free report. Obviously, there’ll be a Zoom link for anybody who wants to attend, and the report will be made available on our website. And we’re pretty excited about it, because there just is a lot of institutions doing great things out there. And to this point, we hadn’t seen a place where those great things were just collated in one place. And the obvious next step from this project is to take those great practices and say, “Okay, now that we know what’s good and who’s doing it, and how it’s worked, where they were, can these things all simultaneously exist in one institution? Can we learn from all of these best practices and say, if we have a goal of success for all on our campus, this is a place where we can look to to get some real both like comprehensive but specific ideas on how to make that happen. So that’s October 25 and pretty excited for that launch.

Rebecca: That sounds really exciting.

John: And we’re looking forward to hearing more about these books once they are ready to come out. Well, thank you. It’s great talking to you again, and we look forward to more conversations in the future.

Bryan: John, it’s always a pleasure. Hopefully next time in Oswego.

John: That would be great. [LAUGHTER]

Bryan: Alright, man, thank you.

John: Thank you.

Rebecca: 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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364. A Quest for Success

Students experiencing academic difficulties are often encouraged or required to complete courses to improve their learning skills. In this episode, Andrew Buchmann, David Runge, and Sean Milligan join us to discuss how gamification is transforming one such course for students on academic probation. Andrew, David, and Sean are Academic Success Advisors at SUNY-Oswego.

Transcript

John: Students experiencing academic difficulties are often encouraged or required to complete courses to improve their learning skills. In this episode, we explore how gamification is transforming one such course for students on academic probation.

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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 Andrew Buchmann, David Runge, and Sean Milligan. Andrew, David, and Sean are Academic Success Advisors here at SUNY-Oswego. They are working on a revision of a one-credit course for students on academic probation that incorporates elements of Dungeons and Dragons. Welcome, Andrew, David, and Sean,

Andrew: Thank you for having us here.

Sean: Thank you.

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

Andrew: I am drinking a green tea. A pretty basic quality green tea.

John: …and David?

David: I do. I almost forgot, but I have a very nice ginger peach with fruity notes from Teavana.

John: Very nice. And Sean?

Sean: Yes, just a pretty classic Earl Gray, nothing too fancy.

John: And Rebecca?

Rebecca: I took a picture of it, John, because I have a new one today. I have Brodies famous Edinburgh tea.

John: As opposed to the Brodies Scottish tea.

Rebecca: Yeah, usually it’s a Scottish afternoon or a breakfast tea, but I got really daring and tried a different one. I’m not sure it tastes that much different.

John: And I have English breakfast tea, just the plain English breakfast tea, nothing fancy,

Rebecca: Not famous Edinburgh tea.

John: No, this is just Twinings. [LAUGHTER]

Rebecca: So we’ve invited you here today to discuss your plan to add Dungeons and Dragons elements to your academic success course. First, though, could you give us a little background on this course? What does it generally cover, and how often does it mean, et cetera.

Andrew: So I can only really speak to where the class was as of fall 2019 because that’s when the Advisement Center took over teaching the course. And in that semester is when we did our first redesign of the course, and it wasn’t so much as a complete overhaul of everything, but just really trying to burrow down on what topics we wanted to discuss to get the most out of this eight-week long course. So the class itself really centers on academic success strategies, things like growth mindset, time management, effective learning strategies, things like that, and goal setting as well. And the idea is to help students who are on academic probation, or even those who aren’t on academic probation, maybe get some more skills in terms of academic success to help them be better in their other classes.

John: And you mentioned this class meets for eight weeks. How many hours per week does it meet?

Andrew: This is typically an hour-long class. Sometimes it varies, depending on if it’s a Monday, Wednesday or a Tuesday, Thursday section, and where it fits. But we’re looking at about an hour per class meeting.

David: We also have offered, in past couple semesters, at least a couple of asynchronous sections as well, to try to support those students who may not be otherwise able to fit the class section into their schedule.

Rebecca: So you mentioned the course is eight weeks. So is this a quarter course, meaning, like in the first half of the semester, or is it one that meets the second half of the semester?

Andrew: Typically, we’ll have more sections in the first half. So yes, quarter class, but in the both fall and spring semester, we will have a quarter two and a quarter four section, typically an asynchronous online section to capture any students who might have missed it in that first half.

John: What motivated the redesign of this course?

Sean: So I think a couple of different things motivated the redesign of the course. First and foremost, probably, we’re all pretty big nerds… I think we would admit to… and so we love video games, tabletop gaming, it’s a big part of our lives. And so like any teacher, I think we’re always looking for ways to sort of inject our own interest into our course as much as we can. But aside from the personal aspect, we each have a supplemental role as advisors here at SUNY Oswego. David, for example, is kind of our transfer expert and also supervises our student advisement guides. Andrew is our Starfish coordinator, which is our sort of advising platform that we use and rely on heavily. One of my supplemental roles that I’ve taken on recently is to try to increase the scholarly activity and the scholarly output of the advisement center. So as a happy coincidence, once I took on that role of trying to increase our scholarly output, I saw a call for papers for a Board Game Academics Conference and Journal. So at the same time, we’ve been noticing struggles with our students in Edu 104: a lack of engagement, poor grades, students coming in very, very late, unprepared… and really, this is not a course that should be difficult. It’s designed to help them be successful. And so seeing such high numbers of students failing, having very high absenteeism showed us that we definitely have room for improvement. So we devised this redesign to simultaneously tackle these issues that we’ve been observing in our classes. And we also did submit a proposal to that Board Game Academics Conference, which we presented at in July in Morristown, New Jersey, and we should be appearing in their online journal issue this February. So a couple of different factors going on at once. So our personal interest, putting some work out there in the board game academics journal, and really the most important thing, just trying to help our students and get them more engaged.

Rebecca: Can you talk a little bit about how elements of Dungeons and Dragons will be incorporated into the course?

David: Yeah, definitely. So it’s important to note that when we first had a chat about this, we’re trying to figure out, how can we further engage students. And we thought about the concept of gamifying, making it exciting, fun. We looked at a couple of different games. We sat down together. First we thought, well, can we do a board game? Could we modify something like the game of life, the game of college life, in some way, with pit stops along the way? Could we do some other type of system or design? But one of the reasons we settled on Dungeons and Dragons, first of all was that we had a really big interest in it, but it’s also a very immersive experience. Someone who’s playing a proper Dungeons and Dragons tabletop game lives out that character, they have those experiences. So we were hoping by tying together course learning elements with a game of Dungeons and Dragons, we could implement what they’re learning into the actual gameplay experience. So what we’ve done, and we’ve started through our pilot this fall already, so the class is ongoing right now, we basically break the class down so that once a week, Sean, who is a primary instructor for the course, is teaching about whether it’s the learning strategy, engaging with offices on campus, how mindset plays into academics, and then the other day of the week, we’ll actually play a game of Dungeons and Dragons with our students, hoping to replicate or incorporate something related to that lesson into the class material. So for example, previous week, Sean had talked about mindsets and also how you approach things like failure or successes. So in that week, we actually had them in what is considered a combat scenario in Dungeons and Dragons, where their characters were fighting monsters, and as the game went on, we had them face tougher and tougher monsters to indicate that sometimes you might fail. But then how do you return and pick yourself back up? How do you adapt in those moments? Do you rely on your teammates, the fellow players, or do you try to go it alone? And how does that impact your outcome? Beyond just the two sessions, the learning each week and the playing each week, we also infused D & D themed items even into the course syllabus. So some of the language built into there, instead of saying you have this assignment, Sean used the language “You have this quest to complete.” We identified that you have a main quest, the required elements of the course, and then a side quest, kind of pick your own adventure in order to allow you to earn points through the course. And then he also offered some incentives to timely work completion or meeting extra tasks by offering feats and perks into the class as well, where they might be able to ask the instructor for extra help or extra time on an assignment if they did something in a certain way. So infusing it both into the actual what’s happening in the class, but even into just a structure and foundational design of the course, all meant to hopefully make it more engaging and exciting.

John: Do most students come into the course having some background and experience with Dungeons and Dragons, or is this something new to them?

David: So what we’ve seen so far, and those shared personally, most didn’t have a lot of experience. There was one student who came in with a lot of experience who was very gung ho and excited, and it’s really been awesome to have that student there, because they’re actually taking the lead in the class and then helping to encourage their peers, others who have never heard of it once in their life, and they’re learning it for the first time. So that also impacted a little bit of the course design in terms of how we structure the lessons, how we’re talking to them during the D & D sessions. We know we’re not playing with experienced players, but rather, we’re having to walk them through things as true novices as well. And actually, we’re lucky to have Andrew with us, because he’s never even played a game of D & D, so he offered a lot of great feedback for us, where I’m maybe the most experienced player in the group, and even my experience is fairly limited, truth be told, but he had really great feedback in terms of some of the language we were using in the design saying, “Hey, this wouldn’t really connect with someone who has never played before.” So he offered good feedback there too,

Andrew: Just to jump on to that point too, as someone who’s not played D & D, I’m very excited for this because it’s always been something that I’ve wanted to do, and a campaign has just never fired in my personal life. So here I have this opportunity to be a part of a campaign that’s also in alignment with the work that I do on a day-to-day basis. So I’m very excited to see where this ultimately goes. And so far, the sign is that it’s pointing in a good direction for us.

Rebecca: So how have students responded, especially those who are really unfamiliar with Dungeons and Dragons. I’m really curious what the response was on day one.

Sean: So I think the response on day one was a little bit of hesitation, which is to be expected, and we were ready for that. Students who weren’t quite sure what to make of it, how it would really be impacting their course experience. But over the last couple of weeks, when we’ve been playing more, we’ve been getting into more interesting scenarios, like we’ve been having combat scenarios with goblins and other monsters, the students have really gotten into it. David mentioned failure earlier as a class concept, teaching students that failure is a fact of life and we’re going to fail at some point. We all fail in different ways, big and small. But it doesn’t have to be the end of the road. It doesn’t have to be a barrier. If you have a growth mindset, you can view that failure as a learning experience. We had this one student who has never played D & D before playing, and she kept rolling a one when she went to attack this goblin. Now, if you’re not familiar with D & D, if you roll a one, it’s called a critical miss, and it’s very bad. You completely miss your opponent to the point where you might even end up hurting yourself or inadvertently causing some other chaos to occur. And she kept rolling a one, so having these instances of failure, but we turn that back into a learning experience of, “Hey, this is like what we talked about in Tuesday. Okay, even though you rolled a one, it’s not the end of the fight, and you can come back next turn and try to improve and do better.” And so the students have been laughing. They’ve been problem solving as a group. So I would say, hesitant at first, but definitely seeing signs of improvement there.

David: And I think that’s one of the important things, that with the game, it’s not just playing the game. We’re trying in every moment to tie it back to a lesson or their experience as a student. So when that student repeatedly had those failures, we paused the game for a second, stepped out of the game and said, “You know, sometimes you’re gonna have those weeks where things are going wrong, where you’re struggling in class, maybe in the residence halls, things aren’t going well, but then you can always keep in mind that there’s another turn coming up next, another class, another week, and how you respond to that is really important.” And in the case of that student, what was exciting was a turn or two later, she actually succeeded in defeating that goblin, and was really excited. It wasn’t just I rolled and I did it, but the sense of joy and just the excitement there, which was really kind of cool. The other thing that was important for us in setting up this course, as well, as we mentioned, a lot of students don’t have experience with this. Even when we were signing up for the class, we made sure to tell them right up front, this is going to be a gamified section. We’re going to be playing dungeons and dragons. We gave them the opportunity that if they had to take this, there was that other section of EDU 104, our quarter two course. So if they wanted to go into that, they could instead, if this seemed like something that they weren’t willing to participate in, because we want everyone to voluntarily try this new experience with us really being forced into it, especially since for some students, EDU 104 might actually be a condition of their successful academic probation. So we didn’t want to negatively impact anyone in any way.

John: Now, one of the things I was thinking as you’ve been talking about this is that students have, even if they’ve never played Dungeons and Dragons before, they do have experience of working through games, getting setbacks, learning from those and moving forward and having that opportunity to make that connection explicit between that and their experience in college, I would think could be a really effective type of connection that students might not otherwise make, because many other students on academic probation don’t come in necessarily with that growth mindset towards academics.

David: Yeah, definitely. I mean trying to find ways to encourage them, to excite them, to see sometimes things work, sometimes things don’t, but hopefully, again, the purpose being, if we’re teaching something in class, we want to form that connection, and the gameplay is the secondary nature. Hopefully it’s fun and engaging, exciting for them, but more than anything, it serves as a reinforcement that what they do in the class and the game is going to help them in all of the other courses as well. Again, an example from a recent play session. The other day, we had them solving puzzles where they were going through a haunted forest and they needed to solve different riddles and puzzles and whatnot. And our main play table, because one of the ways the class is designed, we have a playing table, and then observers, like a fishbowl style, and the observer is, to make sure that they’re not disengaged during the class, are writing reflective notes. What are they observing? What are they experiencing? We actually, for that class, allowed the observers to participate as well. So we gave copies of the puzzle to them too, so they could play. And we noticed a really interesting effect during that. The people who were the live players were struggling a little more to solve the puzzle, and the observers solved it more quickly. So we first gave them the opportunity, within the theme of the game, to say, would the players like to commune with the spirits of the forest, the people around them, to maybe get them hints or clues so they’re able to use their classmates to help them through those struggles. But then Sean tied it back to well, why was it that we think maybe those observers solved this quicker, right? It’s not for a lack of any intellectual ability. They’re all working really hard. They’re using teamwork. But maybe it was the stakes in that moment, the stresses that they were the ones who the focus was on, they felt more time pressures. They felt more confined to the bounds of the game, where the others in a more relaxed setting, were able to solve that and process that. So trying to draw together, “Well, how might that relate to your education, in studying versus test taking?” And hopefully that’s helping them to see those connections and then remember that when they go into their courses as well.

Rebecca: I know some of the motivations you had indicated at the start of this conversation for exploring some different options for this class, included student motivation, absenteeism, etc, and it’s still a bit early in the semester, end of week four, I think that’s where we are. How is it looking for students, are they attending? Are they staying motivated? Are they staying engaged so far?

Sean: So far, yes. Our results are very promising. I was actually just doing some quick calculations, and the last time I taught this course was a non-gamified version in spring of 2024, for the first four weeks, I had an average of 24% of my class absent on any given day, nearly a quarter of the class absent, which is a very high number. Currently, through the first four weeks with this gamified version, we’re seeing only 9% absenteeism. So that, to me, is a really promising sign that they’re more engaged, that they’re coming to class. Another interesting effect that I’ve noticed… we all know as teachers that students can be unprepared sometimes, they can show up to class without the most basic of writing utensils, paper notetaking supplies. One thing I have not reminded them a single time to bring their dice for our gameplay sessions, and yet they have always had the dice, not a single time has a student forgotten their dice. I think that, to me, is a really cool example of how the gamification is not only encouraging the students to show up and be present, but to be prepared for class and prepared for gameplay. And of course, we’ll be learning through the gameplay, so they are prepared for class and they’re bringing the appropriate materials.

John: Do you think that’s because it’s forming more connections across the students, they’re getting to know each other better, they’re seeing themselves as part of a team, which might also help lead to more success later, if students feel more connected to other students, and perhaps more generally, the institution.

Andrew: I can say, as an observer of this… so Sean is teaching the class right now, and because David has a lot of experience in the Dungeons and Dragons game itself, has been DMing for us, I’ve gotten to sit back and watch, and I’m seeing students who, in my typical section of EDU 104, who want to engage with one another. They are having conversations in the gameplay back and forth between what’s happening in the game, how to help one another. “Hey, you should do this because of your abilities. They would help us in this situation.” So even amongst themselves, the peers in the classroom are engaging with each other in ways that I don’t think I’ve ever seen them engage in a typical EDU 104 class. So I think the signs are pointing in a good direction for that for us, that maybe that’s a part of it, is they’re able to develop a more solid relationship with their peers, because in order to advance through the game, you have to work together. You have to communicate with each other, you have to rely on each other’s strengths to make up for your own weaknesses.

Rebecca: And some of my experiences of teaching gamified courses in the past, one of the things that I have observed is that students quickly discover that learning is not just about themselves, but they feel a sense of responsibility towards each other, and that they quickly learn or discover that they have to show up for each other and that they are responsible for each other, and they’re responsible for the learning of each other. And in some ways, it seems like gamifying this particular course is a really great opportunity to demonstrate this particular skill set.

Andrew: I think of a perfect example of this in the most recent game session where one of the students chose to do a maybe less effective move for themselves and their character, but knowing that, by using this move, it was going to make the enemy prone, and therefore allow his teammates, who could then use their strengths to tackle that particular issue or overcome that particular opponent.

John: This reminds me of a conversation I had a number of years ago with Bill Goffe, a former colleague who’s now at Penn State. He had introduced team-based learning into a class that had some issues with attendance before. And he said when students were working with teams and they were depending on each other, if one of them didn’t show up, there was positive peer pressure on them the next time saying, “Hey, we needed you. You weren’t there for us,” and it was a really remarkable transition.

David: Yeah. I mean, we’re definitely seeing, whether it’s in the game players in the class, generally, the students are relying on each other, and some of that is within the game, but sometimes it’s understanding the rules of the game. And you can see those who have picked up the game mechanics more quickly, because it’s a very hefty game, are helping the other ones going through that, and it’s not just, Hey, you’re on your own. You’re figuring this all by yourself, but we’re going to collaboratively do this, because your success is my success, and down the road, maybe in a later turn, you might save my character, where I might save yours as well. But it’s really cool to see them interact in the context of the game and how they’re learning and processing all this.

Rebecca: It’ll be interesting to see if those relationships carry out beyond the bounds of the classroom.

John: So are you still able to cover the same learning objectives you were before, but through this game mechanic?

Sean: Yes, we are, absolutely. And so that’s the purpose of dividing our assignments, or our quests, as we’ve rethemed them. We’ve divided them between main quests and side quests. So main quests are mandatory, being able to pick mandatory assignments the students must do allows us to ensure that the learning objectives are still going to be met. And the side quest gives students an opportunity to still meet the learning objectives, but showcase their learning in a way that they’re more comfortable with. So if one student is more comfortable picking the presentation sidequest, they can do that, but if another student is less comfortable with presentations and would rather showcase the same learning through a traditional paper, a poster project, or something of that nature, we allow them to do that. So that gives the students some agency over their own learning, which I think is a really powerful thing. So we’ve kind of designed the main quest and the side quest to make sure they’re still hitting the same objectives, but just giving the students options.

David: And to that as well, it’s really forced us, I think, as instructors, again, Sean being the primary one, but we’ve been consulting, myself and Andrew. It’s forced us to really distill down what are the most relevant, important, must know pieces of this class as well, because we’re functionally going from having this quarter chorus with two true instructional days to having half of those instructional and having half of an experiential day as well, where hopefully they’re gonna let them practice that. So we had that conversation at the beginning of the semester and said, “Are there lessons that we would have usually done that maybe aren’t quite as not, I wouldn’t say important, but for the purpose of success and growth and helping them to learn?” We might pull back up, or maybe we’ll add it into our Brightspace course, and we’ll have that be a supplemental reading or an add on reading beyond the class as well, to continue the learning.

Andrew: And I’ll just add to it, the onset of this when we were going through the redesign process of the curriculum for EDU 104, we put an emphasis on not changing what the course content was, if anything, it was just as David mentioned, refining it to make sure that we were allocating enough time for the experiential component of it. But our cornerstone of the class was, we are not doing this just to play D & D, although that would be great, and I’m sure some of the students would love to do that. There’s a purpose for this class, for students who are on academic probation, not only is it a requirement that they must complete it, but we really want them to take those learning objectives and then apply them to their other courses. Really, from the beginning of this project, we have focused on making sure that those learning outcomes stay true, whether or not this course is being taught through a D & D style gameplay or in its traditional sense, which we will be doing next semester. We are going to have both the D & D version of this, the traditional version of EDU 104 as well as the asynchronous online sections to make sure that no matter what the student’s preferences are and our options for modality, that we’re still meeting those learning objectives.

Rebecca: So you’ve really modeled a great opportunity for this particular kind of class, students on probation, where motivation is really key to stay engaged in a really important base. But are there other opportunities where a game-based strategy would be really effective?

Sean: Yes, absolutely. I think game-based learning can be really effective in a variety of classes across the disciplines. So when we were at the board game academics conference in July, I want to give this person credit, Dr. Archie Fields at the University of Calgary is a philosophy professor, and he also uses Dungeons and Dragons in his philosophy courses. One of the really cool examples he gave of how he can teach philosophy to students through gameplay is the example of the trolley problem. Many of your listeners, I’m sure, are familiar with the trolley problem, this famous thought experiment that I’m probably going to butcher this, but there’s a train coming down the tracks, and it’s currently on track to, unfortunately, hit, say, five people, but you have the option to flick a switch, redirect the train where it’s only going to hit one person. And so it’s this ethical and moral question of, would you intervene to save five people, but then you’re choosing to redirect the train or the trolley towards one person, and Dr. Fields restructured this as the dragon problem in Dungeons and Dragons, and actually has the students play out this moral quandary, which I think is really fascinating. And this got me thinking just about other classes and other fields that could use Dungeons and Dragons or other role playing games. If you’re in a zoology or biology class, you could be in an environment seeing animals and different species of wildlife in the game world, and observing their behaviors. We can think of so many examples. But I think it’s definitely something that’s transferable to other types of classes as well.

Andrew: Anything where the experiential component, for logistical reasons, financial reasons, whatever it might be, where you can dive into this world through the theater of the mind, and maybe some extra equipment that you might have on your hands too, to be able to provide some more visual details for this. But really it gives you an opportunity through that theater of mind to experience things that otherwise you wouldn’t get to in a traditional classroom setting, because you’re just learning about maybe the theory or doing some rote work based on whatever that concept is, but through something like Dungeons and Dragons, you have the opportunity to experience these things, if only in your mind, but still experience them. And then it gives students the opportunity to reflect on, “Well, how did it go? What were the benefits of doing it? What didn’t you like about doing it?” versus if you’re only ever dealing in theory, you might never get to apply those concepts.

David: One of the cool things we’re practicing this in a higher education setting. But there actually is a fairly rich history of this being put into the K through 12 setting as well. Wizards of the Coast, which is the parent of Dungeons and Dragons, they actually have a D & D beyond educators toolkit, and they offer an educators’ license where you can get some of the materials. Mention this you’re a teacher, and pick up some of those things for free, some of the resources, and then they have actually, akin to lesson plans, basically scenarios, pre-planned modules that you can then work with students in different grades as well. So the opportunity for that immersive, experiential, not just in theory, but trying it yourself, type of gameplay and learning, is there. And I think what we’re trying to do is bring it into our course in areas we’ve seen it be successful already.

Andrew: And what we’ve noticed, too, in our research is that there’s a lack of scholarship work with tabletop gaming and role playing, gaming used in classrooms at the college level, great expansive work in K through 12, but not as much in higher ed. So if there’s opportunities out there, this is definitely a place where scholarship can definitely come from.

John: Are you going to do anything differently next time, or does it seem to be working pretty well as it’s currently structured?

David: Some of it is the work in progress that we’re actively learning along the way. But again, as an example here, I was just talking with Andrew this morning about our observation that sometimes those observers in the classroom, we bounce back and forth between how engaged they are. So we tried having them use puzzles, doing reflective things, but I’ve been looking through ways that we can more greatly incorporate them, actually trying to draw some inspiration from AI as well, which I know is one of the big things we’re talking about in education now, and found some ideas to potentially have the observers, the non players maybe voice the roles of NPCs non-player characters so they can be directly involved. Maybe they do some of the dice rolling. Maybe they are assistants to the DM, the Dungeon Master, the one running the game as well. So that we’re not only having a collective group of four or five students in any given day be the main participants, but as much as possible, we can integrate everyone into each gameplay experience as well, because we saw how much more invested they were, how much more excited they were, rather than running the risk of distractions on the phone or other coursework, but we can be fully immersed in our class in that moment.

Andrew: We’re also still trying to work through the scaling problem of this, because right now, I think with the current EDU 104 section, I think 11 students are enrolled in the class right now, but that’s a manageable number, especially with our play versus the fishbowl groups. But I taught a 30-person section of EDU 104. I don’t know how I’m gonna make that work right now. That’s something we’ve got a lot of work to do to figure out how that would be incorporated in a larger classroom. Would we be doing more sessions with different groups? Would we have maybe a student take that role of Dungeon Master if they feel comfortable enough? So lots of ideas that we’re kind of spitballing to see what might work better as we scale this to a larger section.

David: That was a good point, where a typical D & D session, you’d have four to six players with one DM, the Dungeon Master, leading it. So if you have a much larger class, it can be really difficult. If I remember correctly from our conversation at that board game academic conference. The example we saw actually had the students running it as DMs in kind of smaller groups too, there. One of the unique challenges of EDU 104 is that it is a quarter course. It only has so many contact hours, so unless you have people coming in who are really familiar with the content already, you’d be trying to balance running the game while learning the game at the same time, which is why we decided to be the DMs for this time, because we already knew the rules.

Rebecca: Well, it sounds like a really interesting experiment. Thanks for sharing it with us, but we always wrap up by asking: “What’s next?”

David: So we still have a few weeks left in the course here, after which we’re going to dive through some of the information we get back, both on continued attendance and engagement in the course as well, and we’re preparing to then submit that paper based on some of our findings. Longer term, hoping to again replicate this for spring semester, and looking at how we’re going to adapt it. Do we look at trying to implement this into an online section of the course? There is a very rich history of text-based role playing games, online role playing games, but how do you then still incorporate the experience from student to student and make it effective so it’s not just a game, but still has that learning element as well. So that’s one of the challenges at least I know I’m working on, because I would likely be the instructor for the online section.

Sean: I’m just really appreciative of being invited on.

John: Thank you. This has been really fascinating, and I’m looking forward to hearing more about what you find at the end of the term.

Andrew: Thank you for having us, John and Rebecca.

David: Thank you very much.

Sean: Thank you.

Rebecca: 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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362. Teaching Digital Storytelling

Digital storytelling provides students the opportunity to bring their lived experiences into the classroom as creators rather than consumers of knowledge. In this episode, Tom Mackey and Sheila Aird join us to discuss ways digital storytelling can be used to increase student information literacy, critical thinking skills, and to support diversity, equity, and inclusion initiatives.

Tom is a Professor of Arts and Media and Program Coordinator for the BA and BS degrees in Digital Media Arts at SUNY Empire State University. He is the recipient of a 2022 SUNY Chancellor’s Award for Excellence in Scholarship and Creative Activities and the recipient of several other awards for his teaching and mentoring work. Tom is also the co-author of several books and two MOOCs that focus on metaliteracy. Sheila is an Associate Professor and European Director of International Programs at SUNY’s Empire State University in Prague, in the Czech Republic. Her work broadly focuses on cultural history and public scholarship with a particular focus on  public history, pop culture, children of colonial enslavement, and issues of race in the African Diaspora community. Sheila has presented her work in many domestic and international venues and has co-authored two papers with Tom. Sheila and Tom are the co-editors of the new book, Teaching Digital Storytelling: Inspiring Voices through Online Narratives, published in 2024 by Rowman and Littlefield. They also co-authored the framing chapter for this volume based on their collaborative development and teaching of Digital Storytelling as a virtual exchange between SUNY Empire students studying in Prague and the United States.

Show Notes

Transcript

John: Digital storytelling provides students the opportunity to bring their lived experiences into the classroom as creators rather than consumers of knowledge. In this episode, we discuss ways digital storytelling can be used to increase student information literacy, critical thinking skills, and to support diversity, equity, and inclusion initiatives.

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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 Tom Mackey and Sheila Aird. Tom is a Professor of Arts and Media and Program Coordinator for the BA and BS degrees in Digital Media Arts at SUNY Empire State University. He is the recipient of a 2022 SUNY Chancellor’s Award for Excellence in Scholarship and Creative Activities and the recipient of several other awards for his teaching and mentoring work. Tom is also the co-author of several books and two MOOCs that focus on metaliteracy. Sheila is an Associate Professor and European Director of International Programs at SUNY’s Empire State University in Prague, in the Czech Republic. Her work broadly focuses on cultural history and public scholarship with a particular focus on public history, pop culture, children of colonial enslavement, and issues of race in the African Diaspora community. Sheila has presented her work in many domestic and international venues and has co-authored two papers with Tom. Sheila and Tom are the co-editors of the new book, Teaching Digital Storytelling: Inspiring Voices through Online Narratives, published in 2024 by Rowman and Littlefield. They also co-authored the framing chapter for this volume based on their collaborative development and teaching of Digital Storytelling as a virtual exchange between SUNY Empire students studying in Prague and the United States. Welcome Sheila, and welcome back, Tom.

Sheila: Thank you.

Tom: Thanks so much. So happy to be here. Appreciate the interest in our new book.

Sheila: Absolutely.

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

Tom: I sure am. So, I’m drinking Celestial Seasonings Tangerine Orange, Zinger.

Rebecca: Nice. And how about you, Sheila?

Sheila: I am drinking hibiscus tea in a Starbucks cup, but that’s okay.

John: And I am drinking lady gray tea in a SUNY- Oswego School of Education mug, which was given to us when we moved into this new recording space by the dean of the school.

Sheila: Nice.

Tom: Great.

Rebecca: We’re enjoying our nice space here, for sure, and I have a nice cup of Hunan jig, which I brewed this morning.

Sheila: Great.

Tom: That’s great.

John: We’ve invited you here to discuss your new book. But first, could you talk a little bit about what a digital story is? How would you define this?

Tom: Well, the idea of a digital story is that anyone with access to digital resources can really write, plan and produce their own personal narratives. So this is an idea that’s been around now for, I would say, a few decades, and there’s been a lot of interest in this, but it really is about being able to tell your story using digital technologies. And the idea, too, is that you don’t have to have the most expensive tools to do that, these could be freely available tools that are online, and, again, really empower people to tell their story.

Sheila: Absolutely, and as Tom said, today, since we’re so technologically connected, anyone with a cell phone, and we know that through some of the things that are coming through social media and people creating narratives and developing narratives, but in this particular instance, this is about teaching students how to not only use their cell phones, but introducing them to free and different editing software and going through steps in order to come out with a finished product.

Rebecca: Can you talk a little bit about how your book, Teaching Digital Storytelling, came to be?

Sheila: The back story is Tom and I both were teaching digital storytelling in our own sections. While in Europe, we came up with the idea to bring the students that were in Europe into the learning environment with the students that were in the U.S. So that was how he and I started working together and creating an environment for the students to work together, which we thought was brilliant, because we just think that… you’re an academic, you just think like, “oh, that’s a brilliant idea.” [LAUGHTER] And so we worked it through both with the Executive Director of International Programs, Francesca Cichello, and she was very happy about our ideas. So Tom and I worked feverishly to create the course. And while doing the course, we were also writing some articles. And then one day, Tom really came up with the idea and said it would be good for us to put together scholars from all over the world in this book. And it was particularly perfect since we were working with students in Europe as well as the US, it made sense to have an international perspective. Tom can go a little further on how that worked, but that’s the initial way that we started the conversation to create the book.

Tom: And that’s perfectly stated. That’s really how it happened. And it is interesting that this idea of a collaboration between the two of us then really launched the idea of the book, which was also really supporting collaboration, focused on teaching digital storytelling. So this course we’ve both been excited about as Sheila mentioned. We’ve both taught it individually. It’s really a legacy course that’s been a part of the online program for many years at Empire State University. And I think having that experience of teaching it together and thinking about how to revise the course, or this virtual exchange between Prague and the United States, had a lot to do with how the ideas developed. It’s interesting that when we got together and we decided to do this, again, virtually, a fully online course, we really took a close look at it, and I know we’ll be talking about metaliteracy later on, probably, but I do want to point out that we really did a really full revision of the course for this particular exchange, so that the core of it is still there. But even though I’ve been doing all this work with metaliteracy. Sheila said, we really need to build more of those metaliteracy ideas into it. And the idea of a metaliteracy is that students are reflective. They see themselves as producers of information. So that alignment between metaliteracy and the course really worked out perfectly. So we revised several of the core assignments in the course to build more of the metaliteracy components in it so that students could, not only participate in this virtual exchange between Europe and the US, but they also were able to think about themselves as metaliterate learners through this experience. So that was a key point too in the book is that when we decided to do the book, it was building this collaboration. We were hoping really to get interest from authors from around the world, which is what we ended up with, which we’ll talk about too. So we’re very excited that it has that international component, which was key to our experience. But we also asked all of the authors to really look at their experience teaching digital storytelling from around the world through the lens of metaliteracy. So some of them may have already been familiar with meta literacy if they were not. This provided them with an opportunity to look at their own teaching through that particular perspective, which I think also contributes to really what we have here with this book, Teaching Digital Storytelling.

John: We’ve discussed metaliteracy on an earlier podcast with Tom and Trudi Jacobson, and we will share a link to that in the show notes. But could you redefine for those listeners who don’t remember that episode or missed that episode, what metaliteracy is?

Tom: Sure, so I’ve been developing this idea of metaliteracy. And as you noted, this was really a full collaboration between me and Trudi Jacobson from the University of Albany, and we had been working together, really, for decades. And the idea originally started as this idea of reframing information literacy, so thinking about information literacy in a new way, and trying to move beyond just skills development, that is finding, locating, using information, which was an older definition, to really thinking about a meta literacy that’s more of a holistic, overarching, comprehensive framework that really encourages students to think about themselves as knowledge producers, specifically in the kinds of new environments that we’re in. When we first advanced the idea, it was thinking about social media, in particular, online communities that’s now evolved to the kinds of AI environments that we’re in, and specifically generative AI, and thinking about how Gen AI impacts the production experience. So no matter what environment a student is in, the idea is that they develop a metaliteracy mindset that prepares them for that information environment. That’s really important, because we know that these environments are always changing. And the AI experience, of course, is a really, kind of a revolutionary change in how we understand the production, distribution of information. AI is having an impact on all aspects of our life right now. So the idea, then, is that students think about themselves as producers of digital content, both individually and in collaboration with their peers. So that works perfectly for a course about digital storytelling where that’s exactly what they’re doing.

Rebecca: So the publication is part of the series of books on innovations and information literacy by series editor Trudi Jacobson, who we just mentioned. Can you talk a little bit about how the digital storytelling assignments helped to develop the student information literacy and metaliteracy skills that you’ve been talking about?

Tom: Sure, well, let me first say I really appreciate you mentioning that this is part of the larger series. And when we first brought the idea to Trudi Jacobsen, who I’ve been working with all these years, she loved the idea, so we really had her support, and then she was able to support us as we proposed this to Rowman and Littlefield. I also had this great opportunity to work with Charles Harmon, who I had worked with on several of my edited books with Trudi earlier in my career, so it’s really exciting to have that collaboration and to have Trudi’s support for this idea and how we revised it to include metaliteracy components.

Sheila: The course is staggered and in a structured way, to take students from step one, step two, to get through the process. Now with meta literacy, we found it because I love the whole idea of it, because I think that it puts students in a position to think about who they are in terms of not only a production, but even their learning ability. Are they more upfront? Are they more behind the scenes? How do they work within these different environments? So some of the things in meta literacy, like, do you prefer to work singularly? Do you want to work in a group? Are you more of a leader type? And so it makes the students delve into who they are in terms of a learner. And I think that is extremely important, because I think that part of teaching students who they are is oftentimes skipped in the educational and the learning environment, so to bring them in slowly, because, as we know students think, “Oh, digital storytelling, this is going to be a walk in the park.[LAUGHTER] I’m just going to do a little thing.” And that is so not what this course is about. So the first thing we have them do is a selfie, and in that selfie they can do it any way they want. And we got some really great stuff, because some students did anime, s ome students just sat in front of the camera. They were more comfortable with that. Other students did voice overs, and so it gave them an opportunity to create a hello to everyone in the course in any way they wanted to. So that’s an interesting thing, because usually, sometimes, students want to be told exactly what to do, and that’s not the case here. There are certain requirements, but you kind of have free reign to develop these narratives and stories however you wish. And believe me, we’ve had some interesting stories. So the selfies begin to connect them to the meta literacy framework. And Tom and I talked about this, wanted it in the very beginning of the course, because then that would inform how they went forward.

Tom: Absolutely, it’s really a great way to talk about that. And I really like the way, too, you mentioned that it’s making students aware of themselves as a learner, sort of that broader perspective. So we get them to do that right from the very beginning. The idea of a selfie too is everyone is familiar with the idea of taking a selfie picture. So the idea of a selfie video, I think it places them in a situation that they’re a little bit more comfortable with, that they kind of get what that is. They know what that is. So that means sure that they have to be on camera. But if they want to use an avatar, because some students don’t want to appear in front of the camera, that’s okay, they can start with the avatar. That first assignment is important too, because it’s an introduction to the course. They introduce who they are, where they’re from, whether they’re from Prague or the US. And the other thing we ask them to do. With metaliteracy, there’s a visual model that kind of simplifies and explains what this is. So it shows that the core four domains of learning, including metacognitive, affective, behavioral, cognitive then it shows as a central ring that shows the characteristics of the metaliterate learners, such as being productive, civic minded, things like that. But then the outer ring is focused on the roles of the meta literate learner, such as being a producer, a researcher, a communicator. So with that first assignment, that visual model, we present the model to the students, and it really had a big impact, I think, on the assignment itself, because we asked them to do more than just introduce themselves. We also asked them to select one of the metaliterate learner roles that they identify with the most. So it’s interesting. Some students will say, “Yeah, I see myself as a producer.” Others say, “I see myself as a communicator or researcher,” and that allows them, too, to say a little bit more about themselves. So maybe at work they’re an effective communicator, or maybe in their own time, working with social media, that they’ve already produced video or images or things like that. So it really allows for an excellent introduction to the course, while they’re also starting to investigate this metaliteracy model. So we really bring them into the conversation. It’s not just applying a model to our teaching, it’s really inviting students to think about the model themselves and to start grappling with what meta literacy is. Also, Sheila, I think you’ve really made a great point in terms of how we envision this as a kind of scaffolding. Throughout the course of the assignments, we go from the selfie video to then an assignment about mobile learning, so that we ask students to produce a digital story with their mobile device, because so much of what we do today is with our cell phones, and that’s really fascinating, and that gets them out in their community. So it gets them beyond just working with their laptop. They really think about what they can do as a digital storyteller with that cell phone that they always have in their pocket. Then the next assignment, again, kind of scaffolding, goes to a theme of empowerment, which is core to metaliteracy, because the whole idea, if you become aware of yourself as a metaliterate learner, then you are empowered, because you can make decisions about your learning. So it’s not just gaining insights about who you are, that’s a key part of it, but it’s then being able to identify, perhaps, where you need to improve. And that is empowering for students, and that, I think, is probably one of my favorite parts of the course. Sheila, I don’t know what you think of that, but when they really talk about empowerment, of their own empowerment, people in their lives who have empowered them, your parents or friends, or maybe even celebrities that they look up to, or authors, musicians, things like that, that, to me, is a real turning point in the class where they’re producing really sophisticated work, and they’re working with one of the key themes of meta literacy, which is empowerment.

Sheila: Absolutely. With that empowerment piece, it gives them freedom to bring forward what empowerment means to them, and they take different routes, like nothing is the same. And as Tom noted, some of them might do personal things. It might be a family member or whatever. Others might talk about a movement, others talk about a moment in time when they felt empowered. And I think that this is the beginning of them opening up and feeling some sort of autonomy in what they will create moving forward and realizing that, this course, you have to work. You have to actually do the work. This is not about memorization. This is not about a test in terms of you must answer these questions properly or you fail. This is practical and giving them experience that they can use moving forward, whether it is to document an older family member’s stories, whether it’s to document your community, whether to look at what’s happening outside, in terms of the world around us, and what are those things that make you feel that you are empowered? So it’s a great exercise that puts them in place for what is yet to come.

Tom: And I just want to jump in too with one other point, because as you were talking about that, it made me realize too that here’s another key aspect of our teaching digital storytelling, that also influenced the book, because this idea of students introducing themselves through the selfie and then also the empowerment piece is also key to another core theme to the book, which is diversity, equity, and inclusion. We really see this course as opening up conversations about students, their identity, who they are, and that was something else that when we put the call out to all the authors, we were hoping for international perspectives, which we certainly gained. We were also hoping for a discussion about metaliteracy. But the other core part of this book is really every chapter author focuses how digital storytelling really promotes diversity, equity, and inclusion.

Sheila: Exactly. Very important point, yes.

John: Certainly, by having students tell their own stories, it automatically brings their lived experiences into their course. So I could see how that would be very useful. How might digital storytelling connect to campus DEI initiatives?

Tom: I think that the idea of digital storytelling, it’s a course, but what we do in this course could certainly be utilized in courses that are not about digital storytelling, which is, I think what we have in the book. There’s some authors who utilize digital storytelling techniques to support these ideas. So I would think that, in terms of campus initiatives, this idea of getting students to really utilize these digital tools, which continue to change, and now with certainly the generative AI revolution, this would be a great way for students to think about the production of their stories. Sheila, what do you think about that?

Sheila: I would say that, how does it connect to campus initiatives? I think by creating a safe environment for students to create a story and to share, because sometimes it’s very personal, and so for them to feel comfortable and safe in this environment and to produce it and edit it, can definitely connect to campus DEI issues, because this is another approach. This is not just, “Oh, we’re going to read this.” This is what DEI is, we’re going to try and do these initiatives. Students are living those DEI experiences in real time. And as we saw, like, particularly around the COVID era, students were sharing what that was like for them, depending on who they were, where their cultural place is in society. And I think that this, as Tom said, is definitely as connected. And I think it would be very useful for students to be involved in these sort of narratives across campuses. I think it would weave a fantastic story on how DEI is useful, how it has impacted them, what their experiences are, and I think that puts them more in the conversation, other than, “Oh, this acronym, DEI, I don’t know, it doesn’t really affect me,” or “I don’t know about it,” but when you give people a camera, a pen, and a piece of paper, it shifts the paradigm, and it shifts kind of like in public history. So public history is a bottom-up approach, not a top- down approach. And connecting digital storytelling to this is that you’re empowering your students. You’re empowering the people that now, the way we use technology, are able to share their story across different venues and take different approaches to do that. So, yes, I think it can be connected very much so.

Tom: Yeah, I think it’s interesting too, because it allows students, as Sheila said, to really utilize these digital tools that they all have access to, and in many ways, to reclaim that space, because there’s so much misinformation out there. There’s so much disinformation, especially sort of where we are right now, and it allows students to be reflective, to be ethical producers of information, telling their authentic story. At the end of the day, that’s really what we’re doing in this course, and it’s what we’re trying to advance and encourage with our authors, and they just did an amazing work in that area. So again, it’s also kind of a democratization of technology, because we’re saying, as Sheila pointed out, we’ll give some parameters, we give some suggested ideas for digital tools. But we also like it when they find tools that are easily accessible to them. They don’t have to buy a very expensive product to produce digital stories. So I think making them aware of that environment, that they are really the ones doing this kind of research to find interesting tools and then to use those in a productive and ethical way to tell their authentic story. I mean, that’s what the course is all about, and that’s really what the book is about.

Rebecca: I think it’s really important to underscore that storytelling is such a powerful way to communicate, and data is a powerful way to communicate, but the literature just really describes this power, and that literature is really extensive. Can you talk a little bit about why storytelling is so powerful as a form of communication?

Sheila: Well, storytelling, as we know, is ancient history. No pun intended, right? But it is something that’s been going on for years and years and years, and I think that because, prior to this technology, there were people in control of whose story they told, how they told the story, what they wanted to tell in their story, who would be excluded from the story, who would be included in the story. And so digital storytelling is an absolutely powerful tool in that regular everyday folks can take back that power and inform and properly display and write and direct and do this script and this story board and create and weave a story that is important to them, important to their community, and it puts them, so to speak, in the game. It’s no longer the idea of, “Well, I can’t buy a $10,000 camera, I can’t even buy a $1,000 camera. I don’t have the editing tool.” That is now passe. All you need, is a cell phone. On the flip side, if you want to do a non visual, all you need is a recorder. You can do an audio podcast. So I think, and I know Tom and I agree with this, storytelling is powerful and in the hands of the right people, it can evolve and include many more people than it would without digital storytelling, because then they have to go the traditional way, and that was very difficult at one time, it’s no longer as difficult, which means that the market gets flooded with good, bad, and ugly and indifferent things. But teaching in the environment that we teach, we’re coming from an angle where ethics is extremely important, using the proper materials are important, and we teach that all the way along. And then you do you, you create your story using what you’ve learned thus far, and you can share it just with the class. You can share it if you have a YouTube, Instagram, whatever. And then there’s something we can talk about after. And we have a museum that we’re further developing. And the idea of the museum, which started years ago, was to have an environment to put students’ work, because I always felt that sometimes students do some really great project, and then what? Where is it? They put in all this work all semester, and in that moment when they present, okay, this is great, But then, where is it? Well, ask permission for students who wish to have their work put in the museum, then it becomes a living space. So if they want to connect their family to the museum, their friends. If they’re going for a job in marketing or whatever, and they say, let me show you a little something I did while I was in school. They can connect, and it’ll be there, hopefully forever and ever, and demonstrates the work that they do. And that is another way of empowering students and letting them know that their work is important, and we put it in this environment, and it’ll be there till whenever, because we’ve had some great submissions with the students’ permission to put in the museum, which we hope to further develop. Well, we will. I don’t even hope to, we shall further develop it. I don’t believe in “Well, we tried.” No, we’re going to do it. We’re going to develop it further, and invite others to put their students’ work in the museum as well. It has a lot of good reasons for having it and what we’re doing.

Tom: That’s a really great point. And this was really Sheila’s idea, because it was based on a virtual museum that we’re using in digital storytelling was based on Sheila’s experience in public history. And so she had a virtual public history museum, which we’ve since adapted to this particular course. And it is important to this idea of narrative, because students, again, with their permission, they get to share their stories, and we get to see this over a period of time, and we’re really gaining quite a collection of student work that is, in many ways, instructive. So a key aspect of metaliteracy, one of the roles is teacher. So that learner as teacher. And in many ways, they’re doing that through their collaborative work. And we make them aware of that in the course. But I think they’re also doing it through the sharing of their stories that they’ve produced. It allows others to see the kind of work that can be done. And again, it gets to this point of how important narrative is. And students, I think, as producers of digital stories, I think they become much more discerning of the kinds of narratives they see on a daily basis, which is really important. So it allows them to be more analytical. It allows them to be more of a critical thinker in terms of the content they are receiving on a daily basis, because there are all kinds of digital stories. An advertisement could be a digital story. The kinds of political ads we’re seeing now, those are narratives, and we want students to be really discerning and as they access and review that information, one way we do it, too, I just thought of is, in addition to having them as producers, we also share with them and ask them to analyze digital stories that are about personal narratives. So there’s some great resources out there, StoryCorps, StoryCenter, Animation Block, which is really focused on animation in particular. So we’ve done some curation of really effective digital stories that we ask students to analyze as part of the online discussions and as part of their engagement with the readings that we provide as well. And I think that also contributes to their ability to analyze the kinds of narratives they see on a daily basis, and also being able to produce in an effective, ethical way, their own personal narratives, which are important. And one last thing I’ll say about this too, is that in the course, the writing really is a key part of this. So digital tools are important, but Sheila mentioned the script. So script writing, we spend quite a bit of time on just the words and having students really think about what they’re going to say, how they’re going to map this out as a professional script. They also have to do a visual storyboard, which is another key part of planning. So before they even jump into the digital tools, we really want them to reflect on what they’re writing, what it’s going to look like visually, and how all the pieces really come together through the digital story.

John: One aspect of what you both mentioned is that when students create this work, it’s very different than the type of work they do in many of their classes, where they write something up, they submit it to the learning management system, and then at the end of the term, it goes away and they never see it again. David Wiley refers to that as a disposable assignment…

Tom: Yes.

John: …and having something that lasts beyond the term, that they can share with people, that they can put on their LinkedIn profiles or share with their friends, their family, and so forth, is a really valuable experience. One of the other things, though, you’ve been talking about, is that you mentioned the course that you’ve taught together, and also that’s the basis for the first chapter of this. Could you tell us a little bit more about how the class is structured and how students interact between the two countries.

Sheila: The course, from the very beginning, attempts to bring them in together in the selfie, in the introduction, tell us a little bit about yourself type of thing, which they do in the selfie video. And throughout the course, it’s broken down into different steps, we have discussions. And so with the discussions, a student is required to make a comment based on the topic and readings of the week. They then have to respond to minimally two or more students on their posting. And by that, we don’t mean, and we specifically say like that doesn’t mean, “Thumbs up. Great post, looking good. Thanks a lot.” We explain to them that it’s a conversation and your comment is a continuation of the initial comment, so you want to come in like, “Oh, whatever, like, I didn’t know that. Now I understand. But according to this reading, this is what happened.” Or according to this video I saw this. Or the video that the original poster might have used, a student will say, “You know what? I went back and looked at that, and that was really interesting,” or, “that was really different.” So from the very beginning of the course, we bring them together, because we talk about this all the time, community. We say our course is a community. We’re in this together, and so it’s interesting. When it comes time to give feedback, students are very cautious when they have to reply, very cautious. And they tend to want to say everything nice, which is great, but also we want them to be respectful and comment in a way that makes the original poster either rethink or think about what they may not have seen, what they may have said, and how it’s being interpreted by others. So Tom, you can further expound, but I think that’s it in a nutshell.

Tom: Yeah, I agree completely that the kind of cultural exchange happens from that very first assignment, because as students are talking about themselves and which of the metaliteracy roles they identify with, they’re sharing something about themselves and their place and where they are, where they live. And I think that that really opens up the eyes of the students in Europe and the United States. The mobile story too, I’ve noticed, again, because a lot of students will take their cell phone, they’ll go out and they’ll show themselves in Prague and walk around Prague. So I think that’s really enlightening for the students in the US to see that. And keep in mind, these are Empire State University students who are studying in Prague through a partnership program. They don’t always have a lot of interaction with the US students, and that was one of the problems we were trying to solve. And Sheila really wanted to initiate this, it was how can we get the Prague students and the U.S. students, who are all earning degrees from Empire State University together? So this virtual exchange really allows that to happen, because otherwise it’s not a traditional international exchange program. Students studying in Prague are earning our degree, and so this really brings them together. So that’s really where I think the cultural exchange starts to happen. The other piece I want to build on with the discussions that for every digital story that’s produced, there’s also a peer review that’s a part of that assignment. So students really have to look at the rubric that we use for evaluating and they’re supposed to use that to really evaluate the work of peers. And as Sheila noted, sometimes they might be a little shy in those kinds of conversations, but because they’re working with the criteria, that really helps them to do that. So that’s also a kind of exchange of ideas. Then I think the culminating project, the closing project, while these are all individual stories, that does have interaction through peer review, the final collaborative project, students work together as a team to explore a social cause. So it could be climate change, for instance, a lot of students are very interested in that, which is encouraging, and they’ll do research on climate change, and then they’ll work together as an international team. And we make sure that we definitely when we put the teams together, we make sure there’s always enough of that kind of exchange to happen, so that as they’re working together they learn about each other, they learn about who they are, they learn about where they live, their culture, which is really important. And of course, some of that, they have to face some challenges. Sometimes they’ll complain a little bit about the fact that there’s a time difference, a six-hour time difference, and we say, “Well, we would like you to work in teams for some of this. So that means you have to try and coordinate some time to do that. But also a lot of this can happen asynchronously.” But I think even working through those challenges, is really productive for them, because that’s the real world. If you’re going to have virtual collaboration around the world, that’s what you’re going to have to deal with. And they ultimately work through it really well. And I think, in many ways, those final projects are probably some of the best projects in the class, and it’s just so inspiring to see the kinds of social causes they take on and that they address in a rational research-based way, and then how creative they are. It’s also that key metaliteracy piece that I mentioned earlier, of learner as teacher. That’s one of the key roles you play in these kinds of environments. And they’re doing that. A student who might be highly skilled with the digital tool is explaining to other students how that works, or maybe a student who’s a very strong writer is kind of sharing that work as a writer, and they’re really helping each other out. It’s very much a teacher/learner, mentor/learner, I would even say, kind of experience which brings it all together to why the focus on metaliteracy is really key to this digital storytelling course.

Sheila: The other piece is that with the metaliteracy framework, when we break the students into groups, so there might be four to five in a group, and they are responsible for choosing what their position will be. So who’s going to be the editor, who’s going to do the filming, who’s going to do the narration, if they’re going to use music, how’s that going to work? And so everyone in that group is supposed to take on a job and then do their piece and bring their pieces together to work on a final project. As Tom mentioned a moment ago, sometimes there’s perceived issues. “Oh well, I’m in Prague, six-hour difference, or I’m in New York, I don’t know, I can‘t. I don’t know what I’m gonna do.” And I always come back with “this is real world stuff that you’re doing. And so what would you do if the CEO of your company is on one continent and you’re on another, and you have work to do and you have to present. How are you going to do that? So this is a mini prep for you to learn how to adapt to different environments, because the traditional environment is slowly going away.” And so we have people working remotely all over the world, with people from different time zones, different regions. And so what do you say when there’s a 12-hour difference? Do you say, “Well, I’m sorry I’m sleeping or I don’t have time?” No, you’re going to find a way to work through it. So this is a mini exercise. This is your boot camp in learning how to adjust and work with eople that are not physically in front of you, that are not physically in your time zone, and are a part of your project. So there’s a lot of practical experience for them in this course as well. And as you noted, it’s not your traditional course. And students come in at first thinking, “Oh, I could do this in my sleep,” until they see, “uh oh, I actually have really do some things in here.” And that’s when it becomes interesting. And I love watching the changeover as they go through it. And they start learning, and they feel a little more safer in the course, and they start taking chances, and they’re creating different projects and different narratives is absolutely wonderful. And as Tom also mentioned, with that final project, it has to be on a social issue. So whether it be homelessness, mental health, drugs, climate change, they get in, and you can see the passion for the topic by the very final product they produce together. It’s absolutely wonderful. I love this course. I absolutely love it. I love working with Tom on this and this museum idea was thought of and developed many years ago. And a colleague of mine at Empire, Lisa Rappel, she was initially involved with me to get it done, and then life got in the way. So it was kind of just sitting there. And when Tom and I got together with this course, and I was so excited, I thought, “oh my god, we can use the museum,” and Tom and I got busy and started working with it. So we’re hoping to kick it up a notch, and you have to stay up on technology and so you never get a break, because soon as you learn something, it’s like, “oh, okay, great. Well, that’s passe.” Now we’ve got a new thing, so we’re going to work on making that museum even better than what it is right now, and it’s pretty good right now, but we want to kick it up a notch, and particularly with all this AI that’s going on, and this AI is developing as we speak, it’s important for us to create this environment that uses technology in a very responsible way, while teaching the students as well.

Rebecca: So you’ve both mentioned many aspects of ethics and AI, so maybe you can share a little bit about how you’ve incorporated that into your course.

Tom: When this openAI initiative brought so much attention to AI, the very first thing we did, in addition to the digital stories, there’s an assignment early in the course where they have to write about the ethics of digital storytelling. So that’s the assignment we first revised because we really wanted students to reflect on the ethics of AI, and there’s so much creative potential as well. So you can see how that’s also wrapped into this course, but that’s really the assignment we first revised, and we changed the questions and changed the resources, and really asked students to really think about what are the ethical implications of generative AI for producing digital stories. One of the resources for that assignment is something from StoryCenter. It’s the Digital Storytelling Bill of Rights. [LAUGHTER] So students get to think about the Bill of Rights of a digital storyteller and also the subject of digital stories. But I think revising that assignment was really important because they really have a chance to think about those ethical aspects which are so key. The other thing about this course is that we promote, in addition to freely available digital tools, it already had a very strong component about the use of materials that are openly licensed through Creative Commons. So we don’t want students using resources just by downloading things from the web. They have to be either public domain or Creative Commons. Now AI opens up much more potential. I think in our next revision, there’s more we actually want to do with the course, to really give them permission to use Dall-E, for instance, to create images. And also, of course, there’s now new generators for creating video, and that’s something we’re going to embrace and build into the course. Instead of telling students “don’t do it,” we’re going to ask them, “How can you do it in an ethical and responsible way?”

Sheila: Exactly, exactly, because it’s with us, it’s not going anywhere. So, we’ve got to figure out a way to incorporate it in a responsible way and make them ask the question, instead of being the sage on the stage, that’s not what we do with this course, we want to invoke their critical thinking and for them to think about what is happening around them in a way that makes sense, as opposed to us telling them, “ Oh, this is not good, you don’t need to do that.” Because they don’t listen anyway. So it’s better to let them learn how to discern and how to critically analyze and think on their own. I think that’s what we want from all our citizens.

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

Sheila: Well, I think what’s next is… well, there’s several things the sky’s the limit, right? But I think that another revision to the course for next spring, as Tom said, to really input AI and figure out how we want to do that, and to hopefully get some grant money… anybody listening… to help us upgrade the museum, because we believe it’s a wonderful space for students, and I think that walking the road of life and seeing what narratives I could think about and get involved with, and more co-teaching with Tom, because I thoroughly enjoy it. We love it. We absolutely love it.

Tom: Yeah, we really do. You can tell. Sheila and I have known each other so long, and we just love working together in the teaching and the research. And I agree completely. I think that the revision to include more AI components is definitely what we want to do this year. I think continued research presentations, talking about the book. We’re really excited about the book. I’m really interested too… I think we both are… in continuing to engage with some of the book authors who contributed to this book. We were so excited that three of the authors or author teams are from South Africa. So when we put the call for hoping for these global perspectives that we’re able to reach that. The book itself covers, in addition to our perspectives, just looking at the table of contents, we have authors who write about meta-theater as digital storytelling, the metaliteracy of memes, digital book making as a form of digital storytelling, local history, story maps. There’s so many creative ideas out there that if we could continue to promote this idea of digital storytelling building it into the curriculum, helping campuses to advance their DEI initiatives, that would be amazing. So I think that’s what we’re really hoping for, and that’s the idea of the book too is that this gets the conversation going. It’s our experience, but then it’s also building on our experience to bring in other scholars and teachers and students.

Sheila: And this all evolved out of our engagement with students in the course, so they’re at the core of everything that Is transpired after that as a result of the course.

Rebecca: Well, thank you so much for joining us and sharing your book and all of your stories.

Sheila: [LAUGHTER] Thank you.

Tom: Thank you. We enjoyed it. [LAUGHTER]

Sheila: Absolutely. And may digital storytelling just keep on going and going and going. Thank you so much. This is wonderful.

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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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