468. Connecting Through Chat

Discussion boards in learning management systems, particularly in the age of AI, rarely capture the authentic voice of students. In this episode, Greg Campbell joins us to discuss how the use of a chat application can motivate conversation and build community.

Greg is the chair of the English department at the Community College of Baltimore County and the deputy director of the Community College Humanities Association. He’s been teaching online courses since 2011.

Transcript

John: Discussion boards in learning management systems, particularly in the age of AI, rarely capture the authentic voice of students. In this episode, we discuss how using a chat application can motivate conversation and build community.

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

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

John: …and Rebecca Mushtare, a graphic designer…

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

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Rebecca: Our guest today is Greg Campbell. Greg is the chair of the English department at the Community College of Baltimore County and the deputy director of the Community College Humanities Association. He’s been teaching online courses since 2011. Welcome, Greg.

Greg: Hello. Thanks for having me today.

John: Thanks for joining us. Today’s teas are:… Greg, are you drinking tea with us?

Greg: I am actually an avid tea drinker. I was raised in a tea household, so I am enjoying a cup of Earl Grey at the moment.

John: Very nice.

Rebecca: Nice. I have just an English breakfast today, John.

John: And I have an Irish breakfast today.

Rebecca: Completely situated in the black teas today. [LAUGHTER] It’s not common around here, actually, for everyone to be drinking in the same ballpark.

John: It’s that time of the semester.

Greg: Yeah. [LAUGHTER] Adding caffeine.

Rebecca: Yeah. So, Greg, we invited you here today to discuss how you’ve used GroupMe to facilitate more effective discussions in asynchronous online classes. Can you talk a little bit about the problem you wanted to address by this choice?

Greg: Yes, absolutely. Again, thanks for having me today. It’s a pleasure to be here. So obviously, with my work in an English department as well as with a humanities association, I’m deep into the humanities. And if you’ve ever taken a humanities class, you know that one of the biggest things we do in class is spend a lot of time discussing and having conversations with our students, and through this we’re able to build a common understanding, common knowledge, and ensure that our students actually understand topics that we’re covering. So I realize that this is something that we really need deeply in the humanities, not that it isn’t necessary in other fields and courses as well, but it’s kind of the bedrock of a humanities class is that you know you’re going to have a lot of discussion. And I realized [LAUGHTER] that having taught online for a long time and looking as a department chair at the results of online class, anything from attrition to lower grades, started asking myself, “Okay, we’ve got this outcome that’s low, and we can’t figure out why results are lower with students who take an online class. So, what’s kind of the problem here?” And I was studying MBE: Mind, Brain, and Education with Dr. Kristen Betts at Drexel, and realized that maybe the problem isn’t the outcome. Maybe it’s actually upstream, and we’re having problems with outcomes because we’re having problems with the original input. So I started looking at ways to identify how to strengthen the input, and I kind of had the moment of lovely clarity late at night working [LAUGHTER] when I realized that in English departments we tend to do everything in three stages in our classes. So we have the in-class discussion, and then we have what we call an informal assignment, which is like a short essay, maybe a response or something that we’re not really grading intensively, more kind of just making sure the students understand and are grappling with questions, and then of course we have formal assessments, which are the research paper and kind of thing. And I realized that the discussion boards that we were doing, and this is nobody’s fault, I think this has just kind of happened over time, and I know that this is a blanket statement, so it’s not everybody. But a lot of these assignments have started turning into, rather than discussions, it’s almost like a mini essay. So we’re jumping straight into the informal assignment, and we’ve never had that time to actually discuss and ensure that we have clarity amongst the students of: what is the subject at hand? Do I understand the terminology? Do I understand the broader scope of this? And so I realized that maybe the issue is actually an input, and there’s a very… and I’m really going to stress here,,, very basic way of looking at memory building, which is that we have sensory memory, then working memory, and then long-term memory. And sensory is kind of the input; working is what we hold onto for a few seconds, and then we have the long term. Well, the problem with the first step, the sensory memory, is that students in online classes weren’t necessarily getting that. They have to go and read things that are listed in the course shell. They have to go and do these things. We aren’t necessarily interacting with them to ensure that they understand the material before they’re doing these informal assessments. So yeah, I realized we just need to figure out how to get students talking to each other. And I had a faculty member, great guy, who introduced me to the GroupMe app, and I started using that in my classes just as an attempt to increase student participation. And I broke the students up into groups so that they’re actually in small groups, and class participation skyrocketed. Basically, what I do now is we don’t do the discussion boards the way we traditionally do in the LMS. I post the discussion prompts once a week into the GroupMe app, into each of the small groups, and then the students respond to the discussion there. Sometimes they do get off topic, but I relish that because I’m like, “Great. This is even more like what would happen in class. You’re having a natural conversation with each other,” so they’re able to build social bonds as well as interact with the material. And I’m in each of these groups, too, so I can see and offer guidance and insight is necessary, but the students are saying, “It’s less intimidating because it’s a smaller group. We get to know each other, and we’re building a sense of belonging.” And it just really enhances the student experience. And I’ll level with you, it also enhances the faculty experience because all of a sudden they start asking each other questions, and so the load on my inbox for my email goes down significantly as the semester goes along, but yeah, it was basically just to say one of the bedrocks of a humanities class is discussion. So how do we recreate discussion? And instead of trying to reinvent the wheel, I said “where are students talking to each other now?” So we use this particular application. Now you could use anything. I mean, WhatsApp has capabilities. You could even set up your own groups if you want to give out your own phone number. So there’s a lot of other ways you can do this. It was just the application I chose because I had just been introduced to it and it fit the need. But I think there’s a lot of other ways you can mimic this just to get students in small groups talking to each other and talking about a prompt.

John: Why did you select GroupMe over one of the other apps, or over using small group discussion boards in Brightspace, which is what you use there?

Greg: Great question. I settled on GroupMe in part because they allow signups to use the app through email. So students didn’t need to submit their personal information to sign up for the application, everything’s basically kept confidential because they only need to use their school email address, which everybody would see as visible in the LMS anyway. So a student doesn’t have to surrender any personal information. That was one of the reasons that I landed on that. But the other thing is, and this is where again any other similar application would work, is that they don’t have to log into the LMS. So the application I chose does also have a web-based platform, so students could use their computer. But most of them just want it in their pocket, and then they get notifications. “So-and-so responded to your message. You have three new responses,” or something like that, so they’re able to respond a little more naturally rather than having to sit down and say, “This is when I’m going to do my work. This is when I’m going to think about these things.” So you’re actually almost getting that repetition of concepts into students’ brains throughout the course of the day because they get a ding on their phone, check it, want to see what their friends are saying, and reply, so it’s like an ongoing conversation. The other nifty thing with this is texting doesn’t work the way normal interactions do. I think some people see texting as synchronous and others as asynchronous, so it kind of falls into this gray area where students are talking asynchronously, but it feels more synchronous than I have to go log into my LMS and respond. So it just became a really powerful way that the students can interact with each other and get that constant feedback. And there are two other things I’m going to add here. One is they all said they appreciated that they got the notifications. Some faculty said “I’m getting a lot of notifications,” and I said “you can turn them off.” But for the students, they appreciate that they just get the small group notifications, and that drove them to get in to see, “Well, what did they say?” Because we all have that inherent like, “Ooh, there’s a new message. What’s going on? I want to check it out.” So you’re driving engagement that way. Also, it’s separate from their regular texting, so they know it’s different, but at the same time, it’s familiar. The second thing I would add is the LMS my institution uses allows students to post in a discussion board, and I don’t love this function, but it says how many people have viewed the post and then how many replies there are now you might have 17 people view your post and get zero replies, and that is to me rough [LAUGHTER], right? You’re basically saying 17 people looked at this and nobody wanted to say anything in response. Really, guys? So I think that fights against student engagement. Whereas with this application, if it was something that was hard to respond to, or somebody was just making a valid point, they don’t need to go in and just say like “Great idea, nice work.”They could just send a thumbs up that went directly onto the message, the way you do on most texting apps, or a heart or something like that. So even if they weren’t getting responses written, they knew somebody saw this and liked it, rather than somebody saw this and didn’t want to or need to take the time to type a response. So I think it also helps drive engagement that way because it’s a little drop of dopamine every time a student gets in there and sees a thumbs up on their post. So it was also really helpful to drive engagement that way, and the number of students who use those emoji reactions to react to somebody’s text was fantastic. I mean, we had so much feedback, and they were so supportive of each other. And that’s another thing where you get those smiles and nods in class. How do we replicate that when we’re looking online? We need to rethink the way that we would do that, but not completely. And so, let people text each other and send emoticons and thumbs ups and things like that to say, “I really like this point or excellent idea,” and it worked really well.

Rebecca: Can you talk a little bit about some of the other privacy concerns and thinking about using an external tool? So, you talked about the importance of thinking about only disclosing an email address, but then we also need to think about what these organizations are doing with your data that you’re sharing or the things that you’re talking about.

Greg: So that’s where I will say another reason that I stuck with the application I used is that it is owned by a large trustworthy tech company that, if I recall correctly, used to be Skype and it’s owned by Microsoft. So there wasn’t a lot of concern with that. I also checked with my IT department to make sure that they approved and those kinds of things. But basically, what it all came down to was it was more secure, probably even than something like a WhatsApp because with a WhatsApp you’re giving your phone number, whereas here all you had to do was provide your school email address, and then I’m in each of the groups, so I’m there to ensure that, you know things can get off topic, but we’re not going to harass anybody or cause any problems. And fortunately, we’ve never had this instance, but if someone were to post something that were problematic, you could immediately remove them from the chat, which is really quick and easy. And something that I’ll add is I didn’t allow students to edit or delete posts. Part of the reason for that was I was worried that a student would post something distasteful or cruel, and I didn’t want them to then be able to delete it and say “I never said that” or edit it, so that was another way. And I told students that ahead of time. They see as well when they sign up. This is the way it’s set up. But yeah, there are ways that we can ensure that we have supervision over the class. But otherwise, it’s really no different than providing email addresses to each of the students and saying, “Email each other.” It’s just much more in line with the way students interact anyway, in that they’re just texting, so it comes naturally. [LAUGHTER]

John: Before we recorded this, you had mentioned that this project grew out of something you had done in your face-to-face classes earlier. Could you tell us about that initial experiment and how this grew out of that?

Greg: Yes, absolutely. So I can be introverted at times [LAUGHTER], and I am the student who would traditionally walk in, find the seat in the back corner, sit down, I raise my hand maybe once or twice a class to ask questions, but I was definitely the annoying student who would have time to think about what we discussed in class, and then start the next class with, “I just have a quick follow up.” And so I kind of felt like I needed time to digest material rather than just dive in. I teach at a community college where we’re teaching a lot of first-generation college students who it’s their first semester in college and they’re nervous. So a lot to balance there. So in my face-to-face classes, I realized that some students may be hesitant to raise their hand. They’re also very concerned, they’re 18 to 25, they’re concerned about image, and “I don’t want to ask this question. Is it stupid?” So what I started doing is what I call questions for the class, and this was probably 2012 I started doing this, and I still do it. But I just tell my students that over the course of the semester, through the LMS, there’s an area that’s an assignment, and they have to post 10 questions in there over the course of the semester, and if they don’t like interacting in class, that’s fine. Just post extra questions and questions for the class, and I’ll give you your participation points that way by considering that you’re still asking questions in this way. So it allowed students to actually have time to consider what they were going to say, and still participate. And those shy students are also still able to participate. Now, there’s also an added trick to this, which is that it is a dream for a faculty member. Because what I would do is, I don’t lecture in my classes, I mean, it’s an English 101, but I find that when I ask questions of my students, whenever possible, I have some prepared questions, and I post those into a PowerPoint just so students can see the question on the wall as we’re discussing it. But what I then do is also I take questions for the class right before class starts, paste them into that PowerPoint at the beginning. And the first thing I’ll do is I walk into class, talk for a couple of seconds, “How’s everyone doing? Great. Let’s see what the first question from your fellow students was today.” And I cluster them because I try to do paired reading. So I cluster them, but then I’m just saying to the class, like “These aren’t even my questions. This isn’t even what I’m asking of you. This is what you found as you were reading.” And what’s interesting is the students get jazzed, and it’s funny because especially the introverted students who you think are never going to fess up to “that’s my question,” they’ll be like, “That one’s mine,” and all of a sudden you’re building some more cohesion here, and the students are seeing, “Hey, we all have similar questions,” and I’ll even say we had three questions exactly like this, so you’re not alone in thinking that. Here’s the first one, here’s the second, here’s the third. So broadly, how do we want to deal with that? So I’ve always been interested in this idea of how can we leverage technology and not substitute it? And so what we’re doing here is saying I still want my students to ask questions in class, but let’s leverage technology and give them other options and opportunities for doing that. And the students are happy because they see their question on the screen and they’re excited by that. They all get to voice their opinion. The quieter students are able to participate the way they choose to, and every student feels like they’re represented then in the class because everybody at some point has a question that’s up on the screen, and also as a faculty member, easily the first half of class is done because I just copy and paste their questions, and then I pepper in the things that I need to based on the in-class discussion. So I’m still just running a class discussion, but they’re actually running the discussion, and I’m more moderating it, and that’s how we cover getting students involved, regardless of their comfort level, but also supporting them in building a comfort level. So I had already done this, and when it came to the asynchronous class, I was just thinking to myself, “How do I recreate these questions for the class in this setting?” And the best thing I could come up with was have them submit questions, and then I make that the discussion board, but then you have the same problem of… we whisper about this in the hallways, faculty and students… that everybody reads the first post and responds to that, and then the higher up in the queue, the more replies; the lower in the queue, the fewer, and they get kind of repetitive after a little while, [LAUGHTER] right? We all know. So I was just thinking, “I can’t keep up with constantly posting. Well, this got sent in this morning, and I know I had meetings all morning, so here it is this afternoon.” So instead, I thought, “Let’s figure out a way to put the burden on them to ask each other the questions, because they’re already doing it through the technology and getting my support with that.” And yeah, you know, it was anything to do to drive engagement that I could come up with. I mean, we have to remember they’re college students. They want to socialize, they want to make friends, they want to connect, and I will add, they want to connect with the faculty member, and they appreciate having the faculty member in the chat too, because then they can also just private message you if they need to and get direct connection to you that doesn’t feel as formal as an email. So this was all driven from the premise of, “Okay, this is how I did it in the face-to-face classroom. I need to replicate that questions for the class and the discussions. How do I bring that in?” And then I was introduced to the GroupMe application by Dr. Ibarrola and he used it just to keep in touch with us because I was in a small class of just six students, and he was like, “Let’s just use this. It’s an easy way for you to get a hold of me.” So we just used it to ask him questions in a statistics class. But all of a sudden, a light bulb went off over my head that was: “Wait a minute. [LAUGHTER] The students can interact through this, ask each other questions through this. I can still monitor and make sure that they’re safe, and nothing crazy is happening.” And yeah, it just developed from there, and it was a great study. We had a lot of fun with it.

Rebecca: As you’ve been talking about the transition from what you were doing in your face-to-face classes to trying to move towards a more synchronous type of conversation in an online class, I was thinking about opportunities that I’ve had in classes where I move towards using something like Slack or gchat in a project-based class, where you need the opportunity to have real-time exchanges, but also the more asynchronous dialog, as opposed to a discussion board. It doesn’t have a structure similar to a conversation at all [LAUGHTER]. Like no one talks in threads. [LAUGHTER]

Greg: No, and I love the idea of Slack too, because that can also prepare students for the workplace, and particularly if you’re having them do group projects, the idea of this is the way your projects are going to work in the future. I think that’s fantastic. But the idea here was it was low-level implementation for first- semester students, and like you said, when I read through discussion board prompts in other classes or past classes I’ve taught where there’s seven paragraphs with citations and references at the end, and I say, “You would never talk this way in class. This is not a conversation.” So I used to even get mad at my students and be like, “Stop writing paragraphs! Keep it brief.” But I think there’s almost this sense of well, that’s not the format of a discussion board. They’ve been inherently taught that discussion boards are multi-paragraph, what I would call an informal assignment. Whereas texting, they know how to text. They know that paragraphs are unacceptable. Like if you’re sending a six-paragraph text, [LAUGHTER] nobody’s reading it. So the format matches more closely with conversation, and that’s what I liked about it. Just as you said, and I just can’t agree more with that like nobody talks the way a discussion board is actually fashioned. So we need those discussions, but how do we rethink the way we’re doing those discussions and format it in such a way that it fits both the modality as well as will get student buy-in.

John: So when you started to use GroupMe, you also decided to use this as a research project for your dissertation research. Can you tell us a little bit about how you designed the experiment that you used in your study?

Greg: Oh yeah. So things are about to get complicated [LAUGHTER]. I gathered a lot more data than I probably needed, but it worked out in the long run. So the way it was designed, and I can tell you also, we had some issues along the way. So it was originally going to run in a 14- or 15-week semester at an external institution. Then we ran into some barriers with that, and we were going to run it at my own institution in a 15-week semester, and then it was too tight. So I said, “What about a 10-week semester?” And I already had research being done for others at the institution and other individuals with all of the classes that were 10-week classes. So I ended up doing seven-week classes and worked with the faculty members to explain if you have problems, you need to go to a coordinator or the dean. So we made sure it was ethically handled so that I wasn’t supervising these folks. And they were fully online classes taught by adjuncts, which I tend to oversee the full-time faculty more, and I have coordinators who oversee the adjuncts. So I made sure there were layers of protection that there was nothing getting in the way. So there was a little bit of a time crunch that we were now in a seven-week class. Also, I will say it was a spring second seven-week class [LAUGHTER], so we had a little bit of attrition as well [LAUGHTER], which is understandable. Yeah, so the study was designed in a manner in which I did a pre- and post-survey. So the pre-survey was a series of 10 questions, and then the post-survey was most, but not quite all, of the community of inquiry framework questions. And then the 10 pre-questions were also taken from the communities of inquiry theory, and we also had some open-ended questions for students. So the first step was the quantitative data, which was gathered through Likert scale questions in the pre- and post- surveys. Also, during the course of the seven weeks, I collected and coded all of the data from the GroupMe chats and coded all of the GroupMe chats using NVivo coding. Then [LAUGHTER], still not quite enough… the plan was to have one or two focus groups, but it was hard to get students into a focus group over the course of seven weeks. They already had a lot going on, so we made the decision to change from focus groups to individual interviews, and I interviewed four students and three faculty members. So it was the two faculty members who taught the classes, two intervention courses, and then one that was a control. And then those transcripts were coded through NVivo, and then everything was brought together, triangulated for results. So it was quite a complicated summer [LAUGHTER]. A lot of coding happened, but the results were fantastic and supported by faculty and students alike. I will never forget the first interview I did. I was like, “Okay, I want to make sure students have a sense of support and belonging, and that they like the GroupMe application because that’s what they’re stuck with.” And the first student I interviewed… I said, “So tell me how it’s going” And I kid you not, the student just said, “It’s just giving me a real sense of support and belonging.” I was like, ‘All right, we’re good, [LAUGHTER] wrap it up!” . But no, the only negative comment I actually received from a student was, it was a question about discussion boards, and the student said, “I really don’t like the discussion boards. However, I enjoyed the GroupMe. We could have done more of that.” And I just giggled to myself and thought, “You didn’t even realize you were doing discussion boards.[LAUGHTER] You were doing them the whole time.” So yeah, all in all, the results were really positive, and I should know this number off the top of my head, but I can get close, which was… I believe there was one question that was in the post survey: “I feel more connected to my classmates in regards to non-academic subjects or non-academic interactions.” And the control group fell from about 50% to zero, and the intervention groups went from 30% to 80% so one dropped by about 50% the other increased by about 50%. And so just building that sense of connectedness, and what I will say, I think maybe the most interesting outcome of the study is what I call the social-emotional-belonging fabric, and basically, I think of it in this term of if you know like physics and astronomy, there’s this idea of the space-time fabric, and that everything sits in this space-time fabric. And to me, that’s what this social-emotional belonging is: that you need to build that social-emotional belonging, and then the students will be more willing to interact over the course of the academic materials. But the academics can also then reinforce the social and emotional belonging if they’re connecting when they’re doing the academic work, as they do in those small groups. So to me, it was that for a synchronous online class to really be effective, we need that baseline fabric. We need the students to be interacting with each other, to be building bonds, and to be comfortable with each other, and then we have the fabric upon which we can build the other structures. But to me, that was the most interesting thing: that every student and every faculty member just talked about how the students were more connected with each other, and that led to stronger connections with the material. So I think that we maybe need to think about “How do we reconceptualize asynchronous online classes so that the goal is to establish that fabric and then put the structure of the course on that fabric?” And that to me is where we need to go, maybe in the future, as we reconsider the possible ways of structuring asynchronous online classes.

John: A couple of clarification questions. One is, you mentioned a control group. Am I correct in assuming that the control group was a class that used traditional discussion boards instead of using GroupMe?

Greg: Correct. Yes.

John: And another is: not all of our listeners will be familiar with qualitative research or with NVivo.

Greg: [LAUGHTER]

John: Could you describe what NVivo is, just to fill people in?

Greg: Yes. So NVivo is a process by which you can do coding. I’m using it in this sense to describe a coding system. So basically, what you can do is you can code material in many different ways. There are whole handbooks on how to code. There are different styles, systems of establishing what you’re looking for. And coding is often done in two cycles. So you go through it one way, and then when you’re all done, you say, “Oh, good heavens! I have to do all that again.” And then you do it all again a second time with a different coding system. So I can tell you what I did was for the GroupMe transcripts as well as the open-ended responses and the pre- and post-surveys. I did what’s called a priori coding. So that’s where I took existing terminology and vocabulary, and I used a lot of terms that came from social and emotional belonging and the community of inquiry framework. And I looked for keywords or themes that related to those and anytime you come across one of them, you kind of highlight it. So with my first round of coding in the pre- open-ended responses, the post- open-ended responses, and the transcripts, I did that a priori coding. Then I followed up with what is called descriptive coding for the second cycle. This is where you’re describing what the students are doing. So I might have keywords that are things like supporting each other, student-focused support, or peer-to-peer support, something like that. And then anywhere you’re seeing that the students are doing that peer-to-peer support, you highlight it, and then you can compare, “How often am I seeing this peer-to-peer support populate in the transcript for the intervention groups versus how often do I see it populate in the transcripts for the control group?” And now I did one other thing which I thought was kind of a little nifty. I finished with descriptive coding as the second cycle for all of that material, but then for the interviews, I used those same descriptive codes as the first cycle of the interview transcripts so there was kind of an alignment there. And then for the second cycle, I did what’s called values coding, where you look at what are the things that they’re saying they find valuable as a value or an emotion or a belief, and you try to focus on those kinds of things. And that, to me, was good for the interviews because it got to the heart of these are the things that you’re talking about, so they’re important, whether they’re positive or negative. If these are the things you’re talking about, these are your core values, and these are the things you valued in the course. So that’s why I used that as the second round of coding after I made sure that I had some alignment because I had so much different qualitative material that I just needed a way [LAUGHTER] to make sure that it was all aligned, or I was going to go crazy. So it’s a process, and then basically what you can do is look at, and then this is what we call triangulation: is you look at the quantitative results, and so I can say, “Okay, quantitatively, according to the Likert scale questions, students believed that working in small groups was a positive,” and then you go over to your qualitative and the codes, and you try to break it down into bigger themes. And of those bigger themes, you say, “Well, this theme relates to this qualitative code or this qualitative outcome and so here, the qualitative and the quantitative match.” So I’m getting qualitative results that say that the students like the small groups in the interviews and in the chat transcripts we also got that. So if those results align qualitatively and quantitatively, that’s what we call triangulation because they’re supporting each other. So it’s basically a way of gathering qualitative information, kind of making it quantitative because you’re then able to count the number of each code or each theme, but then you look at the two and compare them and say, “Yes, this actually supports what we were saying in the quantitative data. And so, for that reason, we believe there’s a strong level of support to this.” So it’s a mixed methods study, but the heart of this study was really conversation, student interaction, “do you feel supported by each other?” And as much as we can gather information on that quantitatively, I felt quite strongly that we also needed the qualitative aspects and the individual student and faculty feedback to see that that was actually supported, and it was.

Rebecca: At the top, you talked a little bit about what your goals were and what you were trying to achieve. You talk about belongingness and connection, but like, what kinds of words are they using to describe why they liked the platform or why they liked this kind of interaction?

Greg: So there were a lot of different responses, and this is why I landed on that theory of a social-emotional-background fabric is because the levels were so broad, but also broadly supported. So I can tell you one response that I got from students was, “Well, it was nice to know that I needed to privately message my professor, I could just pull out my phone and do it.” And I said, “Well, did you?” “No, but it was nice to know that I could.” [LAUGHTER] Well, to me, that’s an interesting form of support. And I said to them, “Well, did you email at any point?” And they said, “Nah, email is too formal.” But I said “You didn’t even use it, but it felt supportive?” And they said, “Yeah, they’re right there. They’re on my phone.” So it’s even interesting that you didn’t necessarily need to utilize every opportunity, but just them knowing that they could went a long way. Then there was also students who said I get anxiety when there’s 17 or 20 posts and threads and I have to read them and decide who to respond to and they’re honest and like “I don’t read them all I just find one with only one response or none and try and make them feel good.” So students felt supported because there was reduced anxiety and they got to know the people in their group, so it wasn’t a “Who are these people?” After seven weeks, they knew who the people were. So there was that support. There was also, as I mentioned earlier, the support of student to student, where I even had responses where it’s two a.m. and a student sends a text out through the application saying, “I can’t find such-and-such assignment.” And another student who was up at that hour responded, and they can use the at sign too. So they said “At so-and-so: it’s over here. It’s titled this,” and then the student responded “At so-and-so: Thank you so much. I just found it. I really appreciate that.” And then the other student responded, “I got you. I’m up at this hour too. If you need anything.” Stuff like that. So it was really interesting that they also then support each other, and they know that we all have the same questions and the same thing. So that’s why it kind of landed on this idea of a fabric because I’m not sure there’s any one thing. I think it’s just a broad, can I access the faculty member if I need to? Can I talk to other students if I need to? Am I alone out here in a class where we never meet and I’ll never see anyone’s face? Is anyone on my side? And it’s like, “yeah, the people over here in your little group, they’re on your side.” So as to like a specific, “What is it?” I don’t know [LAUGHTER]. I think that area is ripe for further research, but what I have kind of likened it to is if you get good honey, is it the bees, the flowers, the hive? Who knows? I got good honey [LAUGHTER]. I don’t know if it was coming from just the small groups or just the use of the application. Or just the fact that they could DM each other and me if they needed to, and it’s incredibly hard to parse that out because how do you know unless you ask each student individually: “What was the one thing that you found most supportive?” Which we did in interviews, but even when we did that, students can’t put their finger on it. There’s this, “Well, you know, I like this, but I also really like this, and I can do this.” It was everything from: “I like that it dings because then I know to jump in” to “I can do this while I’m in line at the grocery store with my kids and still get my discussion board points” to “I didn’t have to go log in through the log into the institution, then the login to the LMS, then the click on the thread.” It cuts the time, so they like that. So further research is definitely needed [LAUGHTER]. But there’s something…

Rebecca: But they like it? [LAUGHTER]

Greg: Yes, they like it. There’s something to it, and that to me was the big success here was that it worked. It’s at least a proof of concept for now. I think a lot could be done with it, and I also think you could drill down into different things in different places. So one of the things I wanted to try and figure out was how well are students understanding actual concepts and material. But it’s really hard to do that because how do you know what they knew coming in? So I said to an A and P, anatomy and physiology professor, you know, “Maybe we could use an A and P class and see how well students learn the vocabulary in control versus intervention group because that way you’d be able to say are they actually learning specific terms and understanding specific individual content.” That’s really tough to do in a writing class because we don’t have a ton of terminology and it’s very conceptual, so it’s hard to be like, “Did you understand formatting and thesis statements better because we were chatting?” It’s just very, very difficult to gauge something that specific in an English class, especially English 101. But I think there’s other opportunity in the future to do studies in different departments or classes where you could drill down into some of those questions a little bit more in depth, but again, this was proof of concept and to get the dissertation done. But it was a really fun project.

John: Rebecca and I keep hoping to have a podcast where the concept of AI doesn’t come up, but it already did sneak in a little bit because NVivo does use AI in analyzing the transcripts, which can save a tremendous amount of time. But one of the things I was thinking about also is, when I last taught an online class, it was about a year and a half ago, I think, now. One of the things that was happening is I was getting discussion posts very much like you described, that looked very much like most of them were AI- generated, even including sources and other things. And a lot of faculty are reporting that discussion boards seem to be mostly done by AI in many classes. And I’m wondering if perhaps the more informal nature of this might reduce the incentive to do that. Students are not very likely to use AI when texting each other, but when they’re sitting at a computer responding to something that feels higher stakes, it seems to be creeping into more and more of the work that we’re seeing. Maybe this might be one way of getting more productive discussion boards by avoiding AI intervention?

Greg: Oh yeah, and I think to add to that, the kind of response that you do in a text… it’s almost faster just to reply than it is to go “ChatGPT give me a one-sentence response to this,” and fire it off. So I think that it drives engagement that way, but this is also why I said I think it could even be implemented in face-to-face classes, is that if you know the students are having the discussion in class and then are following up with each other through small groups and text messages this way, it’s also incentivizing to have that natural regular communication and don’t rely on technology to give you the answer. And so we have students in these classes. We said, “All you need to do is give us an idea for what your next essay is going to be about.” So, then we’re throwing out, “Well, I’m kind of between this and this, and I’m not really sure.” But you can tell, like that’s not coming from AI. And then you see a thesis statement, and they’re all responding to each other’s thesis statements: “Yeah, I think you can say this or say that.” And I hate to be so potentially dreary, but it means even if they are using AI to get that thesis statement, they’re still interacting with students and getting feedback and making adjustments. So they’re still thinking about it, which is better than “I’m just going to generate it through AI and post it to the discussion board and leave it there.” So forced interaction of some sort, I guess. But yeah, definitely, it is a very strong potential to be… I was never quite sure how to phrase this, and I think the best way to say is: it helps avoid reliance on AI. I don’t think we’re going to be able to completely get it out of the classroom ever, but this is something where there’s less reliance, and they are building confidence as they’re talking to each other about the course material in the chat anyway. So they’re interacting with the material no matter what.

Rebecca: It does seem like the format because it’s informal, it’s low stakes, it probably feels for students like it doesn’t have to be performative. We’re often in settings where we feel like we need to be performing, and so we’re concerned about how we’re constructing a sentence. But the nature of texting is so informal that there isn’t like a performance attached to it, and that might just take away a lot of the stress and it feels more intimate and private and what have you.

Greg: And I’m going to get myself in trouble here. But I will also say there’s only one thing that was maybe a little performative on my end when I do this because I’ve done this in my own classes a few times in preparation for the study, and I’m doing it now in a class that I’m teaching. There’s one thing that’s maybe a little performative on my part, and it’s because it’s very difficult to not correct my text messages. [LAUGHTER] But when I make a typo, I don’t fix it, and I have to say, “Greg, stop it, help yourself. It’s fine. Just go ahead and send.” But it then encourages the students to be like, “Oh, well, Professor Campbell had a typo. It’s fine if I have a typo,” and I just say to them like, “This is not being graded for grammar or usage or anything like that.” Nor would an in-class discussion be. I’m not sitting up there saying, you know, “You said who instead of whom, dock five points.” We would never do that in an in-class discussion, so don’t carry that into the virtual discussion. So that’s the only thing that can maybe be a little performative is I pull myself back and say, “Keep it natural. If you made an error, just leave the error in there. Let them see that it really doesn’t matter. You make mistakes too, and none of this is graded for that.” It’s another way of just trying to be a little more supportive and natural with it, but yeah, sometimes I’m like, “Oh, I really want to go back and change that.” [LAUGHTER]

Rebecca: But the rules are no editing.

Greg: No editing. Yeah, that is the rule. [LAUGHTER] And it is perfectly fair. I’ll hold myself to the same standard as them, and I had no problem on that.

John: As long as they don’t incorrectly use the subjunctive mood. [LAUGHTER] But we always end with the question: What’s next?

Greg: Excellent question. So I think what’s next for me is I gathered so much, I mean, as you heard, like I had mountains and mountains of data to sift through. So I think I want to continue looking at some other potential outcomes, and then as I’ve mentioned, future attempts at how to incorporate this into classes. So I can tell you a few things that are kind of in the works. So I’ve got this going with a class of mine right now, but it’s English 205: World Literature I. So the students are already at least a semester into college, and it’s easier to get them into it, and they kind of control the chat much more themselves, so I want to continue doing what I’m doing with my own work. But I really want to try this with three different things. One is another department, even math, and I’m saying that because I’ve weighed in here on the humanities, but this would be useful in STEM classes, and if a student can just reach out to a math instructor, and I say math because that’s the other gateway class, obviously at the institution. So I’d like to pair with someone over there and maybe see what we could do there. Secondly, I think it’s really important to see how this functions with a face-to-face class. Does this support the students or not? And at my institution, we actually created the national standard model for accelerated English, The Accelerated Learning Program, where we have a class of 10 students who are developmental education students, 10 who are regular college students, all together as a class of 20 in English 101. And after that class ends, the 10 college ready students leave, the other 10 students go and get some individual coaching with the faculty member and maybe do some further assistance in helping the students. And I talked to a faculty member; she’s actually the coordinator of the program, and she said she wanted to give it a shot. So we’re going to try this. And she said, “Well, I just think I’ll give it to the 10 developmental education students.” And I said, “I think as soon as word gets out, that these students can text you and are in a group texting each other, you’re gonna have trouble with the other 10.” So she agreed, and so we actually have, it’s a hybrid class, so the students will meet for the first three weeks in person. They’ll get to know each other a little bit there. Then we’ll have four groups of five. So two groups of five for the dev-ed students, two groups of five for the regular students, and we’re going to see if this also helps support students who are considered more of our at-risk population. So will they feel a stronger sense of belonging and connectedness to each other, the faculty member, and the institution, if we implement this into that course? And so that class starts in a week, I think. So, I’ll have results on that at some point. But I think there’s a lot of further research that can be done on this kind of stuff. And then my other thing is just to continue looking at how do we improve engagement, particularly student engagement in asynchronous online classes? Because I think we’re going to continue to see a lot of growth in those. I mean, that modality is the fastest-growing modality we have, and we want to make sure that students are actually learning in my English department. [LAUGHTER] That’s pretty important to me. So, continuing to look at how we can support students in student engagement through new and different means that are maybe a little creative, but also not necessarily an earth-shattering idea. What are other little things like this that we can continue to do to support students and support student engagement?

John: Well, thank you. This is a great project, and we really appreciate you sharing this with us and our listeners.

Greg: Thank you so much for having me. This was a pleasure.

Rebecca: And we definitely look forward to hearing what happens next in some of these other studies that you’re doing.

Greg: I will follow up with you guys as soon as I have any feedback, maybe at some point in January or February I’ll have results from the study we’re going to do for the dev-ed.

Rebecca: Great.

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

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

John: Editing Assistance provided by Madison Lee.

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466. Process-Focused Teaching

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

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

Show Notes

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

Transcript

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

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

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

John: …and Rebecca Mushtare, a graphic designer…

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

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

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

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

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

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

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

Rebecca: I’m drinking English breakfast today.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Jason: Thank you so much.

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

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

John: Editing Assistance provided by Madison Lee.

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465. Scaling a Multicampus AI Initiative

Keeping up with the rapidly expanding capabilities of generative AI platforms is challenging, especially at campuses with heavy teaching loads and limited resources. In this episode, Racheal Fest joins us to discuss a multicampus AI professional development project that addresses some of these challenges.

Racheal is a pedagogy specialist at the Faculty Center for Teaching, Learning, and Scholarship at the State University of New York at Oneonta. She also teaches writing courses in the English Department there. Racheal was a principal investigator on two SUNY multi-campus grants focused on faculty development related to AI.

Show Notes

Transcript

John: Keeping up with the rapidly expanding capabilities of generative AI platforms is challenging, especially at campuses with heavy teaching loads and limited resources. In this episode, we examine a multicampus AI professional development project that addresses some of these challenges.

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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 Racheal Fest. Racheal is a pedagogy specialist at the Faculty Center for Teaching, Learning, and Scholarship at the State University of New York at Oneonta. She also teaches writing courses in the English Department there. Racheal was a principal investigator on two SUNY multi-campus grants focused on faculty development related to AI. Welcome back, Racheal.

Racheal: Thanks for having me.

Rebecca: Today’s teas are… Racheal, are you having tea with us today?

Racheal: Yes, I am. I love tea, and today I am just drinking my standard, which is PG Tips English Breakfast. I’m on my second cup.

Rebecca: That seems right for the day, for sure.

John: A very popular tea in England, and we often have that in the office, it’s a really good tea. My tea is spring cherry green tea.

Rebecca: Oh, nice, John! Bringing back your favorites. I have an Irish breakfast this morning, so definitely breakfasting it up with Racheal for sure. Some extra caffeine.

John: On an earlier podcast, we discussed that first multi-campus AI initiative for which you were the principal investigator. Today, we’d like to focus on the second multi-campus AI professional development. But it would probably be helpful for those who don’t remember or did not listen to the first podcast to set the stage for it a little bit because the second grant grew out of the first to some extent. Can you give us a brief overview of that initial project?

Racheal: In the 2024-2025 academic year, we worked with a team of six campuses, which included Oswego, Oneonta, where I’m located, and then we had colleagues from SUNY Alfred, Morrisville, Orange, and Schenectady joining us for Teaching with AI: A Cross-Campus Community of Practice. And in that project, we really focused on developing a set of common materials together related to critical AI literacy, and participants designed assignments through that project to help students evaluate AI outputs from a critical perspective appropriate to the range of disciplines that faculty were joining us from, and faculty earned a modest stipend for doing so. They met on campus with educational developers and faculty leaders to go through our intro to AI literacy programming, and the cross-campus element came in through small virtual groups that connected them across the six campuses.

Rebecca: Can you remind us how many faculty participated in that initial group?

Racheal: So we had six campuses, and we initially secured funding for 10 faculty per campus. We also were able to gain some additional funding from Oswego and from Oneonta, and so we had stipends for over 60 faculty. I think we ended up concluding with 66. We had some dropout for personal reasons, and some campuses had smaller cohorts to begin with, just depending on resources and availability. But yeah, we finished out with about 66.

Rebecca: Great. Can you talk a little bit about how this new project relates to that older project?

Racheal: When we scaled up the second round of IITG funding and we proposed the project to SUNY, we had more campuses involved, we had had some campuses reach out to us because we had publicized and shared the communities of practice model. And one of the aims of working together across campuses is to really pool resources and think about efficiency within the professional development that we’re offering. I think we’re lucky in SUNY that we have a lot of professional development opportunities, both through our individual campuses and through the Center for Professional Development that supports faculty across the system, and one of the both challenges and opportunities that comes with that is how we can come together to use those resources to develop support programming in a way that makes sense. And so both of these projects aimed to do some of the support programming for faculty. Basically, we wanted to plan together. We said “We’re all on our individual campuses. We’re all trying to support faculty in responding to AI.” The way faculty are engaging with the emergence of AI is very different, and for me, a real passion point for both of these grant projects, I wanted to get faculty remuneration for doing this work. AI has been a huge disruption to higher ed since ChatGPT emerged for free in November 2022, and we’ve seen all different responses, all different means of engagement, all different levels of information that faculty are coming to this problem with. And so, both the smaller grant and the larger grant aim to say, “How can we come together across the system and provide faculty with the support they need while also giving them funding?” So we, again, were giving faculty stipends to do some course redesign work. We moved from six campuses to nine, and we had funding initially for 90 faculty. We did end somewhere in the 80s. Again, we always have some attrition from folks who just have things come up, or they realize the time commitment doesn’t work for them. But we were able to offer stipends again to about 90 faculty. And one of the primary differences in this grant year, initially we had all worked together on one theme and one set of materials, that was basically designing assignments for critical AI literacy. The new project, we had educational developers from multiple schools. We had a leadership team of over 10, I think, and we decided that the best way to use our collective efforts and resources would be to offer multiple themed virtual communities of practice, and so we offered five of those.

John: And so, in that first year, people were just getting used to AI because it was only two years into the process, and it was new to everybody, but one of the reasons I think why we split up into more topics is faculty had been working with AI to some extent. Some people were coming into this new, and one of the groups that was run was very much like the first-year group, but the others were mostly for people who wanted to explore things a little deeper. What were those five groups?

Racheal: Yeah, I think that’s a great way of describing it, John. And I don’t know if we’ve said out loud yet that John was the co-lead of one of our groups. I had led the group that focused again on designing assignments for AI literacy. That was great because I was able to use the materials that we had developed again and bring them to more people. Again, that was focused on an assignment redesign. The other four groups, starting with the one John led with David Wolf, a colleague at Schenectady, focused on building chatbots and specifically in the context of study tools. I think it was. John, do you want to say a little bit more about what you did?

John: We did ask people to develop two chatbots, one of which would be a Socratic tutor that would assist students in understanding, but would not directly answer questions. And we let the other depending on what their role was, many of them did create things that were useful in teaching, but some of them were working in other areas. Some were instructional designers, some were faculty support, and so they wanted to do something a little bit different. One of the more interesting things, was someone developed an interactive simulation of a patient role, where people would interact with a chatbot that was actually stored in, I think, a dummy type of a thing, where basically the student would ask questions of the dummy and it would respond as a patient from a random selection of diseases and so forth, and report symptoms with some level of accuracy. And it was set up with a microphone and a speaker there, so it was as if they were interacting with the real patient. So that used verbal interactions. Others were set up for very specific assignments, such as analysis of a particular text or interacting with a text more deeply. There was a pretty wide variety in terms of what people did with the other chatbots.

Racheal: That’s great, John. Yeah, I was always really excited to hear about the work that you and David were doing, and I’ll share a little bit more of the other three groups that ran as communities of practice virtually. But I’ll just emphasize now that build a chatbot group that focused on some of these Socratic tools that are available. We wanted to make sure that we were offering new and deeper engagement with emerging tools. That was one of the things that faculty asked for. So, as we came up with these five different community themes, we wanted to both serve beginners, people who were still coming on board and wanting to learn about what exactly AI is. We had multiple faculty who hadn’t even looked at ChatGPT or Copilot or Gemini or whatever available tool they might have looked at, but then we also had, as John already said, many faculty who were ready to take the next step and to get some support in exploring in conversation with community members from across the system. So, I think John, your group did a wonderful job there. We had AI and accessibility, which was a group run by Luis Colon at Stony Brook, and initially with John’s colleague, Stephanie Pritchard, who ended up moving away from the university. That group focused on AI’s applications for accessibility needs and projects, and that was one of the few groups that did not create student-facing materials. Most of our groups were focused on pedagogy and instruction. Luis’s group had instruction in mind, but they were examining AI accessibility tools with an imagined audience of colleagues, other faculty. So, if they learned about a tool that could be useful to them for a classroom application, be it captioning or something else, they created deliverables that would share the information and what they had learned related to AI and accessibility. And then the final two groups that ran, we had AI and writing across the disciplines, which Matt Newcomb from New Paltz and Laura Pierie from SUNY Morrisville co-led, and finally we had redesigning assessment in the age of AI, which was led by Alexis Clifton, Deepa Deshpande and Jenny Zhang, and they focused, as the title suggests, on creating new exams, new assignments that were responsive in some ways to AI. So some faculty in that group were focused on AI-proofing assignments; others focused on integrating AI to update their assignments, so there were multiple approaches in the group, and I think that reflects all of the groups and in a common ethos that we developed together at the beginning. Not only did we want these groups to work for faculty who were bringing a range of levels of experience with AI, but AI is a very ideological topic. It depends on your disciplinary formation. It depends on your view of these tools and their emergence. And we wanted people across the spectrum of attitude toward AI to feel welcome and to be in conversation with each other as well.

Rebecca: Running communities of practice across institutions can be both exciting and challenging at the same time. Can you talk a little bit about some of the logistics of how you were able to make those communities of practice work and talk across campuses, and maybe some of the benefits and challenges that you faced in doing that?

Racheal: Yeah, there were definitely both challenges and rewards to a big project like this. I will say that I think approaching with an aggressive logistical plan [LAUGHTER] when you know that you’re going to be working both with a large leadership team that’s working online at multiple institutions is a really strong way to start. And then also we had about 15 to 20 faculty members in each of the five groups. So thinking about how to manage these schedules to make those conversations happen within each group, these were all concerns and considerations that we definitely foregrounded going into the planning. And I think it really did help that we had had the previous year’s experience. Being able to scale up and build on something we’d already done and succeeded at felt really comfortable this year. At the same time, I would say that the structure of the project really changed and the way we were working really changed. In the first year, we felt like a group of collaborators. We were educational developers and faculty from six campuses who were working primarily with campus folks in person. So we would come together. We would create the rubric for our deliverables. We would create the presentation that we were going to give to faculty each month to help them work toward those deliverables, and we had a lot of time to share, troubleshoot, bring our ideas together. The second year as the project lead, it was more of a logistical position. I was really more there to just keep us on track, keep things moving, and that was exciting too, because it meant that our leadership team members could each develop content the way they saw fit for their group and the way they saw fit for the theme that they had developed based on their expertise and interests. So there was more freedom there, and I think that was really positive in terms of drawing upon the expertise at different institutions to serve faculty on different campuses.

John: One of the nice features of it, from my perspective, is that if we tried to do a year-long development project on a specific topic, it would have been unlikely to have 10 to 20 people who would have persisted for a year. But when you were dealing with nine different campuses, there were people who were interested in spending a year on developing those specific tools and skills, and so that was a really nice process. The fact that we had multi-campus participation made it really valuable in a way that it would be really hard to do in a small campus or on a campus where you just don’t have the same level of focused interest. By providing a number of choices, faculty members from each campus had five different things to choose from in terms of where they wanted to focus. But it did shift much of the work from you to us, so that in the first thing, you did much of the development of the slides, which we all greatly appreciated. But there was collaboration, as you noted from the very beginning, beginning with a meeting in Oneonta before the start of the 2024 academic year. So, what were some of the other benefits or challenges that you observed from your side or from interactions with the groups?

Racheal: So, I think that, John, as you’re emphasizing, I love that we were able to offer more choice for engagement to our faculty. I think that was so vital. And the other thing that I would add to that, just being able to engage a group of faculty who were all coming not only from different disciplines but from different campuses and institutions. That was some of the feedback on our survey that faculty mentioned really enjoying. Oftentimes, we can get in our silos, we always talk about this. We’re in our own departments. We’re in our own disciplines. Here, I think faculty were exposed to the energy and excitement and fury and engagements and questions that people were bringing from so many different institutions across the state, and that was really cited as a strength, was just getting to have these conversations. So yes, getting to have these conversations with a group virtually from different locations, and also faculty often cited valuing just the opportunity to have these conversations and to do a deeper dive into materials that they could search out on their own, but they’re so busy, right? It’s like now they have the dedicated time to say, “Okay, I’m going to think about AI policies. You’ve given me a number of them to look at. I’m hearing what my colleagues are saying about the choices they’ve made, and we’re talking about what has worked and what hasn’t, and now I have this dedicated time to make those changes.” So that was another strength, I think. In terms of the challenges, and I think we could definitely talk about the Brightspace area and that logistical piece of how we ran this through the DLE, the digital learning environment, but I will just mention first, maybe before saying more about that, I do think that scheduling and logistics is such an important and also challenging part of a project of this kind. We tried to get ahead of that by scheduling everything in advance. So if we’re having monthly meetings with our communities of practice, we tried to set those schedules in the fall, or I think we had to circle back in the spring, of course, because teaching schedules change. But we scheduled out the entire semester at the beginning of each semester, and each of the five groups had to offer two meeting times in order to make sure that everybody could come to our meetings, and we did set high expectations too. I think that was important to us. We used backward planning, which we know from teaching and learning best practices. And so we tried to be really clear about the expectations up front, about attendance expectations and about deliverables expectations, because I think with our colleagues as well as with our students, we know that having those expectations set and those structures in place are what really allows you to thrive in common work together. So I think those things were really important, but they did mean that at the leadership team meetings, we were like, “Okay, I’ve almost scheduled my meetings,” so that was something we talked about.

Rebecca: One of the things that I think people would probably want to know is how did you share information across institutions? You talked about meetings, so that’s a synchronous opportunity. What about maybe some asynchronous ways that you were sharing information across institutions?

Racheal: We relied on Brightspace. Over the past few years SUNY signed on with Brightspace. We now have a shared multi-tenant structure that is used across campuses. There are a few campuses that aren’t included in that multi-tenant environment, and SUNY Stony Brook, although it does use Brightspace, is one of them. I mention that only because we’ll talk about both what Brightspace allowed us to do and some of the roadblocks that we ran into. One of which was that SUNY Stony Brook had to log into two different Brightspace areas, and they expressed that that was sometimes challenging for them. But I think that Brightspace was a good choice for us. And like with any project, each year you learn about things that went well and about things that you hope to do better on next time. And with Brightspace, our plan was to have a shared online location where all five of the virtual communities could go, both to access the materials we were providing in our communities, and also to engage virtually in discussion and to upload their final deliverables or assignments. So it was great to have Brightspace for that purpose, and it really did allow us to create some shared documents. Our surveys lived there. We provided lists of AI-related resources that multiple groups could use and did use, and we also wanted to make the five communities visible, so that if one person, say, was in the accessibility community, but they wanted to see what the Build a Bot community was doing, they could enter that Brightspace module. It was public to everyone in our area, and they could look around and check on what their colleagues were up to. To talk a little bit then about the challenges, there were two areas of confusion for us. Some faculty had trouble identifying the materials specific to their module, and they would sometimes go into the other modules and answer questions there, or say “where was that resource that you mentioned?” That’s one area that we would want to think about and address. And additionally, the submission tools that we used that first year there had just been one assignment dropbox everyone had uploaded. The second year with the five different groups, everyone was uploading student-facing materials, their deliverables to several different dropboxes, and then we were engaging in a peer review process with our leadership team, where we were just making sure that those deliverables hit the spot on the rubrics that we had been using throughout the professional development programming. And so there was some submission drama [LAUGHTER], but you know because we were all working together to review, give feedback to our faculty, check on our faculty, both within our groups and at our home institutions, we were absolutely able to sort things out and get people feedback where it needed to go. But I think in the future we would consider maybe using the groups feature in Brightspace so that each group would only see the assessments and materials specific to that group. And we also talked about how we’d therefore identify which resources needed to be available for everyone, rather than just saying like, “Okay, here’s everything you can explore it if you want.” Maybe just identifying, “Oh, here are some of the things I’m putting up, the bibliography or the links.” I think these should go in the shared area so that we could direct people through Brightspace in a way that was maybe more efficient for them.

John: The basic issue was that some people logged in, saw five modules, and assumed that they had to complete all five of them, and that led to some confusion. Now, I know in our group we did show people where they should put things and where everything was, but, like our students, sometimes people don’t always remember all those things because they’re doing lots of other things at the same time, and we did have some issues where submissions were going in the wrong location. But the flip side of that is it did make all the resources available to everyone, so in principle, each person could lurk and observe what was happening in all five of the groups. So there’s some tough decisions there. To what extent you want to limit the visibility to make it easier for people to focus on what they’re supposed to be focusing on versus giving them the option of browsing more broadly and groups may be a way of dealing with that with assignments, but I kind of like the way it was set up as different modules once people got that figured out. And I think after the first month or so, they pretty much knew where to go until the final submissions, and that’s where things broke down.

Rebecca: To me, it sounds like an added benefit here of faculty having the opportunity to participate as a student in the environments that they use for teaching.

Racheal: I think that’s a great point, and it makes me think too about the virtual aspect of these synchronous meetings. In our initial grant year, we had mostly run meetings of 10 faculty on our own campuses, and those were in person. We also had an element of connecting with cross-campus folks in a small group of three or four, and that was the element of the project that didn’t get as much positive feedback at the end. People felt like a lot of the focus was on the in-person groups, and it certainly was. So when we were designing the second year, and just thinking about the needs that we wanted to meet for our faculty, we decided that it made sense to move to that virtual model in order to make the choices available. And so, I think that we’ve had the added benefit, again, of really foregrounding that cross-campus communication in the positive ways we already touched on. But I do think you lose something with virtual sometimes, or it’s different than it can be in the classroom. So just because you’ve shown somebody something and demoed it during a virtual meeting does not mean that person wasn’t checking their email [LAUGHTER] or dealing with other work tasks at that time. I think we really all enjoyed the energy during the in-person meetings that our colleagues on our campuses brought. I think the virtual meetings also were very strong, and I felt like we built community within my group as well. But I do think with any virtual meeting, there’s just that built-in element of distraction and multitasking that we all are familiar with from the demands on our time.

John: One of the similarities between the two things is that there was a keynote speaker for each of those to help frame the work. Can you talk a little bit about the keynote speakers and what they focused on to help set the tone of the project?

Racheal: The first year we invited Anna Mills, who is a longtime writing instructor who works for an institution in California. Anna Mills often focuses on peer feedback through AI, and one of her primary goals and the reason that we asked her to join us as the lead speaker for our first project is that she approaches AI from a critical perspective, and she’s always trying to foreground learning objectives. This was something that ran throughout all of our planning. Many of us are instructors or professors, as well as working in educational development from a variety of different angles, and we know from being in the classroom, that it is all about learning objectives. That is where you start, and the decisions you’re making about AI are about how you either preserve or update those, now that students are often engaging with these tools. So Anna has a great set of critical approaches to that. And she also is really on top of changes in tools. That’s another request we often get from faculty. And John, you were just telling me about the great work you do on your campus to just demo some of the tools that students might be using as they change every semester, as agentic AI use increases. I don’t know if you want to say anything about that?

John: At the start of each semester, we do a workshop here talking about what things have changed since the start of the previous semester because a lot of people tried AI four years ago and kind of figured it wasn’t much of an issue because it did such a poor job in terms of hallucinations and pretty predictable writing patterns. But, the people who still believe that need to try it more recently to see what’s changed, and certainly agentic AI and browser plugins that will answer student questions automatically from a Chrome browser are things that faculty should be aware of, just because it is affecting work that many students are doing.

Racheal: Yes, and that’s one thing I admire about what you’re doing, and I admire it in Anna’s outreach as well. She has a big platform, and we were lucky to have her come and join us for that initial talk. In our second year, we hosted two talks through our grant funding. We hosted Marc Watkins, who is a co-author of the Norton Guide to AI-Aware Teaching, which is coming out this fall. It might have already launched. I know their ebook launched over the summer, and their hard copies will be out soon. He also did great work focusing on some of the updates. We heard from faculty that they had learned a lot from his presentation. He runs an AI institute for faculty at his home institution in Mississippi. So again, our goal with these speakers was to set a shared language and a shared critical perspective going into the work of the different groups, so we got a lot of positive feedback on Marc’s talk, and then we also did host Mel Hogan through funding associated with my group designing assignments for AI literacy, and Hogan’s talk focused on the critiques of AI that are often coming out of a humanities and social sciences perspective, and it was important to me to fund that talk because I simultaneously have been advocating for support for faculty who are having to adapt to AI, and I often hear from our faculty who are sometimes in disciplines that are more engaged with the political conversations, that they wish that critical perspective on AI was represented in some of the professional development opportunities that are available. Because again, we have faculty coming from so many different orientations, places, disciplinary formations, and so I wanted to make sure I honored that feedback. And so we heard from Mel Hogan, who is a media studies and film scholar. And Mel has been essentially sharing both at her home institution in Canada and more broadly in some talks she’s been doing a set of political and ideological concerns related to AI, and that was a second talk that we opened with.

Rebecca: You’ve talked a little bit about some of the opportunities for folks in the cohort to share and interact with one another. What are some of the things that participants generated that were maybe more widely available or more widely distributed as a result of the project?

Racheal: I worked with Ed Beck, my colleague here at SUNY Oneonta, who was also serving this year as the chair of the Faculty Advisory Council on Teaching and Technology for the SUNY System. Ed helped us build a WordPress site that acts as a repository for some of the student-facing materials and other deliverables that faculty made through our groups. So we definitely had faculty share within the smaller virtual communities, but then we also invited them to submit their materials to this site, which we included a Creative Commons license for the site, so the materials are there. They can be viewed publicly. They can be viewed across the system. We definitely did not mandate that our faculty share to this site. We know that intellectual property and teaching materials are personal, and people think of them in different ways; they use them in different ways, but we did invite folks to share. So there are examples from both cohort years on the SUNY ACE site, and we’re hoping to encourage additional faculty to post there as well, although we have some up now.

John: I know a survey was done at the end of this, and you referred to this a little bit before, but could you tell us a little bit more about the reactions of faculty participants to this project?

Racheal: One of the things that we wanted to track when we gave a survey before the program began, and then we gave a similar but slightly different survey at the end, we wanted to track how comfortable people felt engaging with AI in a teaching and learning setting, and the response there was really positive. People, regardless of their initial level, felt that they were more equipped, they had more knowledge, they had more time engaging with tools and ideas related to AI. So that was one aim that we set for ourselves, and the survey data did reflect that faculty felt more comfortable, more knowledgeable related to these themes at the end of the experience. So that was really great. The other celebration that came up again and again: people really liked having the time to talk to colleagues, having that devoted time to come together around a common theme, which again I think faculty experiences and all of our experiences at the university are so dependent on our departments and kind of who we see day to day. So having those opportunities to sit down, develop big ideas, hear from others how they are responding and what they are doing, faculty really appreciated the opportunity to do that. And as always, I like to encourage people in any professional development settings of this kind to steal ideas from each other. So, [LAUGHTER] we talked about that in my group, and I think that ethos of sharing all the materials and resources on Brightspace, of having conversations, of showing what you’ve done, of workshopping. We did workshopping in a lot of these groups, so we weren’t just asking you to design a new assessment or a new assignment. We were asking you to share that and have a conversation with other colleagues. That also was mentioned favorably, and we saw that cross-pollination of ideas and approaches, where some people could learn from and draw from others’ ideas. You might get one approach to a problem you’d been seeing in your class and say, “Oh, I love how this person was doing that. That’s what I’m going to do.” And sometimes these are just little tweaks, ways that you’re going to frame an assignment, things you’re going to say in class, how you’re going to revisit a policy over the course of the semester to really enliven it. And we saw that in the survey data that people appreciated that sharing opportunity.

Rebecca: Well, thanks so much for sharing this project and how it’s been developing over time. We always wrap up by asking, “What’s next?

Racheal: John and I were chatting a little bit about this before we started. I have not pursued IITG funding for another multi-campus initiative this year, so I’m focusing a lot of my energy on my home campus, and it’s been really rejuvenating to do that too. I loved working on these multi-campus projects, and I loved the leadership team members, meeting so many colleagues, presenting at CIT with colleagues, and sharing the great work that we’ve done. And now I’m also very excited to be here at home in Oneonta doing some different communities of practice, book groups, those are a lot of the things that I do here as the Pedagogy Support Specialist in the Faculty Center for Teaching, Learning, and Scholarship. This semester, one of the things I’m the most excited about, I’m working with the Center for Racial Justice and Inclusive Excellence, and my colleague there, Sally Hahn, who’s an anthro faculty member and also is leading the center for a term, but she’s leading a banned books fair for staff, faculty, and students, and we’re running a faculty reading group dedicated to Octavia Butler’s Parable of the Sower. We already have 20 signups. We have had a lot of enthusiasm around some of the novel groups that we’ve run, including a group on Nineteen Eighty-Four last academic year, and we’re asking faculty to read these books together to connect their themes and ideas to their teaching, their research, contemporary political and social questions, and we’ve gotten a lot of enthusiasm for that programming. So those are some of the things I’m excited to be focusing on now.

John: And you will also be presenting on these projects at the AAC&U. [LAUGHTER]

Racheal: Yes, John and I are traveling to Atlanta in October to present the work that our team has done at the AAC& U’s conference on AI, which looks to be an enormous higher ed conference. Lots of folks from many different institutions nationally coming, and we’re excited to present this work because SUNY is such a big system, and I think that our project models how to share resources in a way that creates more choices for our faculty, as we’ve discussed.

John: Well, thank you. It’s always great talking to you, and thank you for all the work you’ve done on these two projects.

Racheal: Thank you so much, John. It’s been wonderful working with you too, and just benefiting from your own expertise and the incredible professional development work you do on your campus.

Rebecca: Thanks so much for joining us.

Racheal: Thanks for having me.

[MUSIC]

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

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

John: Editing Assistance provided by Madison Lee.

[MUSIC]

464. Chemistry and Music

Providing students with multimodal content can increase student learning, but creating such material can be costly and time consuming. In this episode, Oliver Steinbock joins us to discuss how he has used AI tools to generate songs and lyrics to support student learning. Oliver is the Cottrell Family Professor in the Department of Chemistry and Biochemistry at Florida State University, who specializes in research in physical chemistry and materials science.

Show Notes

Transcript

John: Providing students with multimodal content can increase student learning, but creating such material can be costly and time consuming. In this episode, we examine how AI tools can be used to generate songs and lyrics to support student learning.

[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 Oliver Steinbock. Oliver is the Cottrell Family Professor in the Department of Chemistry and Biochemistry at Florida State University, who specializes in research in physical chemistry and materials science. Welcome, Oliver.

Oliver: Thanks for the invitation.

John: Today’s teas are:… Oliver, are you drinking tea with us today?

Oliver: Yes, but I must admit that I’m usually a coffee drinker, but for this special occasion, I brought some ginger lemon tea.

Rebecca: Oh, that’s a great choice!

John: It is.

Rebecca: I have blue sapphire today, John, because I am recording from home, so I was able to make a pot.

John: …which you haven’t had in quite a while on the podcast. It was one of your old favorites.

Rebecca: I’m excited to have some today. [LAUGHTER]

John: And I am drinking an Earl Grey tea today.

Oliver: Good choice.

Rebecca: Good classic choice. We’ve invited you here today, Oliver, to discuss your recent experiments with using AI to generate songs that explain thermodynamic concepts. Can you talk about how you decided on this approach?

Oliver: Yeah, I’m very interested in AI and integrating it into my research and teaching. So I try to keep up a little bit with generative AI. So, AI methods that can generate text, music, pictures, and you see these fantastic videos of fake songs, [LAUGHTER] fake music videos. So I thought, okay, I want to play a little bit with the music generation part. And so in the beginning, I kind of just took abstracts of my papers, very technical text, and turned it into Korean pop songs, K-pop, [LAUGHTER] and I was kind of amazed how well it worked. I mean, of course, ridiculous, [LAUGHTER] but you can take very technical text, and it works surprisingly well. So, okay, that was maybe day one, and I shared it with some colleagues who also played a little bit around with it, and I’m teaching a lot of physical chemistry upper-level undergraduate classes, and so I thought I can take just an equation or some concept and see whether I can turn it into some kind of catchy song, and so I started playing around with that, and that’s how the whole thing started.

John: And we will share a link to the playlist that has those songs in it, so they will be in the show notes.

Oliver: Yeah, please listen to them. [LAUGHTER]

John: What was the process of creating these songs? What tools did you use to create the lyrics and then to create the actual music and the singing?

Oliver: Yeah, so there are many different ways how you can do this today. But what I did kind of converge to was that I used ChatGPT or a similar large language model, and I had an idea, let’s say I wanted to do the first law of thermodynamics or some kind of fundamental thing,
and/or an equation. And so I said to ChatGPT, “I have this idea. I would like to turn this into a song. Can you suggest some lyrics?” And I gave a little bit of guidance because part of the problem is you have to find the right balance between scientific rigor and technical rigor and making it kind of a little fun. I mean, whatever fun means to different people. So you walk that line a little bit. And so, I prompted it for lyrics, and it’s just amazing. These large language models-they are so supportive, let’s say. [LAUGHTER] They’re like, “Yes, the first law of thermodynamic is an amazing idea, and I think it would work well as a country song.” [LAUGHTER] And I think it doesn’t make any sense really. So, I generated the text and some mild instructions in there, like chorus lines and stuff, and then you transfer it over to a AI music web page. I used SUNO without advertising for it, and so you essentially just copy paste the text in there. You give some guidance on the music genre, let’s say K-pop. You can pick whether you want a female voice or leave it up to them, or a female-male duo, and then you have essentially only two things that you can select. It’s like how closely it adheres to the style and how weird it is. [LAUGHTER]

Oliver: The weirdness is interesting because I wouldn’t say that I fully understand, but it gets more interesting, but sometimes slightly awkward if you dial this up. And then it generates, really within a few seconds, two songs for you. And if you’re in the free level, these are limited to a minute or so, I don’t really remember. And if you have a fairly inexpensive subscription, you can get longer songs, and then you listen to it and you can play with it again. And so that’s how I converged eventually to my playlist. [LAUGHTER]

Rebecca: I love the weirdness is another line.

Oliver: The whole thing is very weird. [LAUGHTER]

Rebecca: So, be careful. [LAUGHTER] But songs themselves are not an unusual thing to find in a learning environment. Maybe not as common at the college level. Can you talk a little bit about the history of song in learning?

Oliver: I feel like there’s something to music and especially rhythm that helps people memorize things. And when we learn the alphabet, no matter what country, that’s usually an alphabet song, and there’re jingles. Maybe they’re a little bit less popular nowadays, but they can be very catchy, although they’re actually annoying. [LAUGHTER] So I would say, in the context of science and chemistry, it’s not frequently used, but probably the early classic is Tom Lehrer’s song about the periodic table, where he, at extreme speed, recites all the elements in the periodic table. It’s real fun, but it’s from the 60s, there’re really cool YouTube videos of it. There’s actually even a version where he shortens it to the four classic elements, and the song becomes very, very short: earth, air, water, and so on, fire. And so that was probably one of the memorable and remembered chemistry songs, but then more recently people played with it on social media. Usually, it’s students performing a song or lip-syncing or changing the text, but you keep the music. A person who did a lot of this and quite successfully, I think, is Neil Garg. He used to be at UCLA. He’s now at Baylor, and he used it in teaching organic chemistry, and to produce great videos. You can see the students really love it, and yeah I would say these are maybe it’s a little bit the context of where all of this work kind of sits.

Rebecca: And although jingles can be annoying, you do remember them.

Oliver: You do remember them, and you know the way I see it is many people, unfortunately, have bad memories of their chemistry classes, and they’re just like negative emotions, to be really honest. There’s not even like there’s this one particular thing that I remember but don’t like. So to maybe make it a little bit more approachable and maybe a little bit more fun, at least to some people, could be a valuable tool. So I’m not thinking of doing every lecture in some format, though, right? But to use it as a small tool and sprinkle a little bit of it in can be fun, maybe.

John: Many years ago, I had listened to Dirk Mateer, an economist, talk about using music and video clips in classes, and one of the things he had done, along with some of his students and colleagues, was creating short little videos that had the songs with the lyrics on them and some connections to economics in it, which I used to play at the start of each of my classes. He also worked on creating this economics in the movies platform, which provided information on short clips from movies that illustrated economic concepts, and I used to use those fairly regularly in my classes. With the songs, I’d start my class with them… I teach a class that back then generally had 350 to 420 students in it, and they’d come in and they’d sit down and they’d be quiet and they’d be listening intently. And I’d start the class by saying, “What economic concepts did you see here, and how might this relate to what we’re doing for that day’s class?” And that worked really well. The only problem is I got really concerned about copyright issues, so I stopped doing that. But what I really liked about this approach is that because the material is generated by AI, it’s not subject to copyright, so there is no concern about copyright infringement with using it. In fact, we had a podcast on that that was released on August 5 that discussed that very issue. So that’s a really nice feature of this that you can create these songs and share them freely with your students without worrying about infringing on any musician’s or author’s or producers’ rights.

Oliver: I would say, first of all, this is really awesome and inspiring to some extent because I will also use it a little bit more in the next semester. But I would say that there are, of course, very serious concerns about copyright infringement that occurred during the training of this generative AI, and many people very rightly point this out, and some AI companies were hit with pretty hard financial punishments. I’m not a lawyer, but for the user point of view, if you’re okay with this or the way it was settled, I would say that my understanding is that this material cannot really truly be copyrighted, and you’re the owner of the song for whatever that is worth, and that’s pretty much how much I know. But one thing I would like to add is that this copyright thing is, of course, a very important issue. But there’s also, of course, the technical musical ability to do this, right? So in a certain way, this generative AI approach democratizes the approach to it. Most people don’t have the musical skills, knowledge, the time, the money, the recording equipment to really do this, and while it’s a major shortcut, and the product is of course different from human-generated music, it is kind of opening up this to more people and more crazy ideas.

Rebecca: I think the interesting piece of this is if it’s used for learning, and that’s the point… the point is not making a good piece of music. It’s helping students [LAUGHTER] learn an idea and remember it, and maybe enjoy that learning experience. So the way music would be measured in those different scenarios would be different.

Oliver: Exactly. I don’t think that if you listen to the songs, I like them, but they’re not really trying to compete with human-generated music.

John: They’re not going to make it to the top 100 list in any genre, most likely.

Oliver: Unfortunately. [LAUGHTER

John: As you noted earlier, there is a long history of using music for teaching, these songs tend to stick with people for extended periods. You had mentioned the alphabet song, which is how many people learned the alphabet, and I know many people have said that when they’re trying to alphabetize lists, they often hear that song in their head as they’re doing so.

Oliver: I think that’s true for me too. Not always, but depending on my mental state. [LAUGHTER]

John: And I remember when my kids were very young, they learned other songs in school, including ones about the days of the week and the months in the year that helped them make some early connections that stuck with them. Songs have often been useful in creating long-term memories for many individuals.

Rebecca: Yeah, we hear a lot of those songs in my house, John. [LAUGHTER]

Oliver: I must admit that I sometimes wake up in the morning… I listen to these songs a lot, unfortunately, maybe… [LAUGHTER] and I have a song stuck in my head, which is good and bad at the same time. [LAUGHTER]

John: Two years ago, Rebecca’s daughter was learning how to play guitar, and I found some music to share with her. What were the songs that I shared the chords with you to give to her?

Rebecca: Oh, my favorite was “It’s a Small World.”

Oliver: Nice.

Rebecca: It’s painful.

John: One of those little earworms [LAUGHTER] that just sticks in your head if you’ve ever heard it.

Rebecca: Yeah. Oh, yeah. And then she thought that was really funny, very funny. [LAUGHTER] How have your students responded to the music?

Oliver: So I think the first response is surprise, people don’t see it coming, [LAUGHTER] and so it’s a combination of an onslaught of: I have to adjust to the idea “this is AI-generated,” and then “oh my God, on top of it, it’s physical chemistry.” [LAUGHTER] And then I would say that people started to respond very differently. Some started to speculate on what artists could be copied here. I honestly think it’s not like that. This is not how AI works. But sometimes maybe. But there’s also negative response, to be really honest. People, for example, I think a valid criticism is that people can kind of say this undermines the value of human music or makes fun of it. This is clearly not the intention, but people respond very differently. Overall, I would say positive, but there’s also some people who really don’t like it. Just to keep it real. [LAUGHTER]

Rebecca: Do you think it’s helped with their learning?

Oliver: It’s very hard to measure, right? Of course, I want to believe it. [LAUGHTER] I think of it mainly as some kind of tool to break up the monotony of a typical lecture with something that is a bit surprising and different. One could also turn it, and I will try to do this next semester, into like an exercise or homework, where you don’t use a large language model to generate the lyrics, but well, as long as the students play long, you try to ask them to write the lyrics themselves. And so you can also one-shot them. But I think that’s the least interesting thing.

John: And that is another thing I have done in my classes. I’ve allowed students to replace their lowest grade on an exam with a song or a video project or something else. And I’ve got a nice collection of songs that students had written over the years and produced as videos and shared with the class, and that again was another way of getting around the issue of copyright because the students owned the work that they were sharing. And that was a fun project. And students really appreciated hearing their colleagues do that. But I never required that. I always gave them multiple options. It was basically an unessay-type project.

Oliver: Yeah, I think one has to be careful. Both some people might not want to do it. Some students might be willing to do it but don’t want to share. So one has to be kind of considerate of this.

Rebecca: And having those options, having the song as an option as a way to learn or remember something, is a good way to implement UDL, universal design for learning, or different formats for learning.

Oliver: I agree, and there’s another dimension to it. I really think it’s very important to integrate artificial intelligence education into all kinds of college and maybe even high school education, and you can do this in a very technical, mathematical way, or you can do it in a more playful way with generative AI, maybe.

Rebecca: Yeah, I like that approach for sure. Have you had some other ideas about how you might use AI-generated music to assist learning?

Oliver: So a little bit before last summer, I developed… it’s not music, but I developed… what I call Thermo Tutor. So it’s a program where I generated 400 questions and answers and tips, and then I use generative AI… ChatGPT at the end of the day… through an API to grade and give feedback on the students’ answers. So you bring up a question that kind of matches roughly the outline of the course, so you can follow along, and it gives you a question. You write in the answer. The AI grades it. If you are doubtful of the AI, you can look at my certified answer if you want so. If you have a question about this, you can ask the AI the question. And so I think that’s a kind of interesting way of doing it because the problem is if I go to ChatGPT and I say, “Hey, I’m taking physical chemistry in college. Give me a question,” it will generate all kinds of questions, but they will probably not line up with the order of the class and the level and maybe the expectations of the instructor and so this is maybe another way to introduce it. Where I see this whole thing going is a little bit; these ideas will grow with what AI gives us. When you look at social media, you see, admittedly many very bad, but sometimes very funny, [LAUGHTER] AI-generated videos, and I think in the moment it’s a little tricky and requires some knowledge and a little bit of money… not fortunes… but maybe hundreds of dollars to generate this. But soon it will probably become much cheaper and less expensive. And so, what is the song today could be a music video in the near future, and maybe even an instructor can make small video games to kind of complement and add to the more traditional teaching approach.

Rebecca: So, do you have video games and videos in the works? [LAUGHTER]

Oliver: I try very hard to make good videos. I fail very miserably, [LAUGHTER] so I will try again in half a year. [LAUGHTER]

Rebecca: Yeah, you wait about six months, then you have a whole new set of tools, right?

Oliver: It’s true.

John: You mentioned having students create songs. Were you thinking of having them do it on their own, or were you thinking of them doing a similar process where they would use an AI tool to generate lyrics and then create a song from there?

Oliver: It’s an interesting question because it goes to this: How far can an instructor or professor really control whether the student is using AI or not? So my instinct on it is to leave it to the students. You can say, “I really encourage you to do it yourself, write the lyrics yourself, and play around with it, and learn some physical chemistry in the process. Spot some errors and mistakes, but if a student is less interested in doing this, it will be very hard to spot the LLM use anyway, right? So my personal opinion is that it’s kind of a very difficult path to fully enforce this, and maybe also a path that will look kind of outdated in a few years.

John: I was very impressed with the quality of the music that was provided. We’re recording this in early August. I just saw last night that there’s a new release of SUNO, so I imagine the quality is only getting better.

Oliver: I haven’t tried it myself, the latest release, but if there’s one, I really didn’t go to the web page back again. I was busy with other things, but yeah, this stuff will only get better. It will never get worse again. It will never disappear again, I think, unless it’s completely outdated by some or overwritten by some other technologies. Yeah, it’s kind of astonishing. There is a weird dimension to this, that things that we think of very creative at some lower level, seem to be automatable, where you can automate the process, and will not reach good levels or top levels. We don’t know where this will evolve. I don’t know whether you’ve ever tried to write little poems with ChatGPT. They fake it pretty well, I think. [LAUGHTER] I’m not saying that an English professor or an expert or really someone who’s deep into this wouldn’t be able to spot the difference. But it’s kind of shocking that so many people, including myself, can be tricked by it.

John: Musicians and poets learn from what they observed in the past, the techniques and the practices of others, and in a sense, this is automating that same sort of process, and it’s learning from its mistakes along the way, and as people do. I suspect it’s only going to get harder and harder to detect what’s created by AI and what’s created by humans.

Oliver: It’s fascinating how this absorption of information and styles is kind of similar in the net effect, but the processes are a little similar, but already quite different, and then you get very different outcomes out of it. And it boils down to the question: What is really human creativity, and how creative can these systems really be? But creative is not a zero-one situation. I think it’s some kind of gradual thing. You can be a little bit creative, and you can be amazingly creative. [LAUGHTER] You can be creative by combining things that already exist. This is very common in science, and it’s usually a very, very nice accomplishment. If you take a result from one field and you apply it to solve a problem in another field, that was a very routine way of being creative in science, and that is something large language models can and will be able to do. But then there’s another type of creativity. We really create something original, something qualitatively new. I believe, and that is something we will have to see whether AI can ever do this.

John: The best musicians, the best poets. It’s hard to imagine AI getting to that level.

Rebecca: Same with visual art and design. I’m just saying.

Oliver: I agree. [LAUGHTER] And the other dimension to it is: Are humans really interested in it? I think there would be no market for two super chess computers playing chess. Maybe there’s a niche market, but it definitely would get boring. But two mediocre chess players, watching them on YouTube playing against, that can be quite a bit more interesting. So there’s also that component to the story.

John: Because the AI systems are basically mimicking what people have already done, and the question is, can they ever get beyond that point by introducing a little bit more randomness and other components? It’s an interesting question, and I think we’ll be learning [LAUGHTER] the answer to that fairly soon at the rate things are going.

Oliver: I think so too.

Rebecca: In some ways, humans are already doing that because they’re bringing whatever their interesting question is and putting it into the system and challenging the system to start combining things that maybe wouldn’t have been combined otherwise too.

Oliver: And it might sound intimidating or maybe even threatening, but at the end of the day, it’s giving us an amazing tool. Maybe the tool is a little too good, [LAUGHTER] but it can also become a new way of being creative. Photography is maybe not a great example, but an example. I mean, it’s a very technical thing, and it somewhat competed with certain types of paintings, family portraits, and stuff like that. But it also allowed for new types of art and creativity to many.

Rebecca: And it didn’t get rid of portraiture and painting. It evolved both of those spaces.

Oliver: Absolutely, you know, of course, emphasis shifts.

Rebecca: Yeah.

Oliver: That’s I think progress and just history.

Rebecca: So I know that you’ve been doing some other interesting things with AI too. I think we heard something about a boot camp. Do you want to talk about that?

Oliver: So this is an idea that we want to allow students to more actively explore AI tools, especially in chemistry for data analysis, protein structure prediction, or what have you, drug discovery. Obviously, there’s a large range. Some people are extremely AI literate. Others have been very hesitant to even touch it, which is fine. But it is a tool that you probably will not be able to completely ignore, or only at a high price. So we thought together with the college of organizing an AI bootcamp for our department, and it’s for the whole college, but it is kind of focused on science and chemistry in particular. So it’s a 30-hour boot camp, and all of our incoming new graduate students, PhD students, are attending. But it’s open to everyone in the college, also undergrads and retired faculty, everyone who wants to come, existing graduate students. And so we have a lot of guest speakers from industry, from academic research, covering the copyright issues, ethical issues, mental health issues, but also some technical issues, without going too much into math or programming, and we try to do everything very hands-on. So there are lectures, but there are also always activities where students hopefully will be immediately putting to use what they’ve learned in the last lecture, and so this is something that I think Florida State University really wants to kind of develop in the next years. Introduce more of that in different forms into the teaching to position people better to do better research, position them to get better jobs, and we’re excited about doing it. Now, no one really knows how to really do it. It’s not like we have years of experience on how to integrate AI into teaching, and there’s a lot of institutional friction as it comes to grading and all kinds of concerns. So I think our society, we as professors or everyone, essentially teachers, students will have to figure out how to really do this effectively, and so this is one big step into this. I am sure that if we repeat the bootcamp next year, we will have lots of experience, and things will have changed, and maybe we’ll have completely new ideas about how to do it. But we have to experiment with it carefully to integrate it. I think ignoring it is, from my personal point of view not a very helpful thing for the students, and yeah, you could probably isolate yourself completely from it. But I don’t know whether that’s really a fair way of preparing students for the future.

Rebecca: Sounds like a really nice immersive launch into the new academic year.

Oliver: I’m looking forward to it. I’m excited.

John: How are your colleagues reacting to the use of AI in the classroom. I know here we have people with a fairly wide mix of views. Some people are really excited and enthused about it. Others want to resist it at all costs.

Oliver: Yeah, I think it’s the same at Florida State University. I think it depends a little bit on the department and college, and I completely understand that if you are a creative writing professor or in the English department, the reality on the ground looks very different from the reality in chemistry, where we are like, “Okay, we are teaching this material. Here’s a new way of teaching it. Let’s integrate it.” Probably the biggest thing at the root of it is evaluation. You can think of all kinds of clever and not so clever ways of integrating AI into education, but evaluation becomes a real problem. Where you could before give a long homework, a take-home homework, or ask people to write an essay over two weeks. Those things have gotten very difficult as evaluation tools. Same with college admission, I would say. The classical essay that people wrote, I don’t know how much value it still has. So these are things that we all have to kind of find ways to deal with it and adjust to it and make good use of it. It’s not like we are downgrading things… maybe in the short term… but I think I’m very optimistic about the future, that this will be an empowering tool for us to learn better, to study better, to teach better, to give people access in places where they maybe don’t have access to education. It’s a time where you have a 24/7 pretty smart, maybe not perfect, but pretty smart mentor and tutor at home. That’s like stuff from science fiction, and you might have it for free or for very little money.

Rebecca: I’ve been using it for running coaching. [LAUGHTER] You know, like when you need an expert, but you don’t have an expert, there’s ways that you can kind of integrate it into different ways of learning about new things.

John: So we always end by asking, “What’s next? With AI, that’s something we’re always asking pretty much every day.

Oliver: I think it’s probably always difficult to predict the future, in particular. It is even more difficult to predict the AI future and how it affects us, how it will technically develop, how it will be regulated or not. I think we all sense that is happening very fast, and this makes it different from earlier changes like the internet happened also fast, also led into bubbles, but it’s hear, right? And it’s our life nowadays, and we are communicating via the internet in the moment. And so it’s hard to predict. But I think in the short term, and that’s maybe one thing I’ve actually learned, when you start thinking about it, it’s very difficult to think about how will it look like next year, in five years, in 50 years. It’s very tempting to immediately smear everything together and paint out a very positive or very negative future. I think realistically, next year will look very similar to this year for most people, for most students, for most professors, and so we should just not sleep through it, and we should try to really integrate it carefully with a little bit of experimentation, but not too much. Listen to feedback from students. For my specific project, I really, like I said earlier, would love to integrate, see whether I can generate videos. A short teaching video could be very fun. I don’t want to change my whole lecture to songs and videos, but to have that as one component in the whole process, something that was impossible before. I can make an animated PowerPoint slide, but a four-minute video on my research would be, or on my teaching topic, would be difficult and very time-consuming, and so I think these things might be possible next year or the following year, and most of the other things remain to be seen.

Rebecca: It’s exciting to think about improvements or things that you want to integrate into your class that you’ve been thinking about for a long time, but just can’t take on because of the time or whatever, and that they’re only a fingertip away, perhaps.

Oliver: And it’s so playful. I mean, it’s not like I don’t have to read six books and spend a whole summer on trying to get into something new. You can open up the thing and say, “So what can I do with you?” Right? [LAUGHTER] It’s remarkable. The answers might be bad. [LAUGHTER]

John: Experimentation can be fun.

Rebecca: That always helps.

John: One nice thing about this is it provides more options for multimodal learning, and we know that when students see the same content in different modalities, it tends to reinforce learning, and it tends to make the learning a little bit deeper and to stick a little bit better. So it just gives students one more way of learning these things and making connections, and that’s pretty much always a good practice.

Oliver: I think so too. I’m really very traditional in my teaching. I write on the board. I don’t even use PowerPoint slides mostly, unless there’s something really I want to show, like a photo or a little animation or something like that. But I do know that while that is the traditional approach in math-heavy subjects, not every student necessarily responds well to it. Not because they are different; it’s just like a matter of taste. And these songs, I think, they have a good chance to stick also in general introductory general chemistry classes where we interact with the students maybe only for a semester or two, and then they go off and do something very different… really, kind of leave some positive, hopefully, impressions and memories, and maybe even some concepts that they remember.

Rebecca: Definitely. Well, thanks so much for sharing your experiments with us.

Oliver: Yeah, that was fun. We’ll see how it evolves. [LAUGHTER]

John: Yeah, thank you. This is a really fascinating experiment, and it’s nice to hear about it in more detail.

Oliver: Thanks again for the invitation. It was real fun.

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

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

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463. Teaching and Generative AI

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

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

Show Notes

Transcript

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

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

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

John: …and Rebecca Mushtare, a graphic designer…

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

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

Beth: Thank you.

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

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

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

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

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

Rebecca: Nice.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Rebecca: Sounds like a fun project.

Travis: Oh, absolutely, right? [LAUGHTER]

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

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

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

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

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

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

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

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

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

Travis: Absolutely.

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

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

Rebecca: We’re full of them over here.

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

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

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

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

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

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

Travis: Oh, I agree. [LAUGHTER]

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

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

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

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

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

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

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

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

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

Beth: Yes.

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

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

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

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

Beth: Thank you for inviting us.

Travis: Thank you so much.

Rebecca: Thank you.

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

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

John: Editing Assistance provided by Madison Lee.

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462. Classroom Mindscapes

Neurodivergent students bring varied strengths, needs, and ways of thinking to our classrooms. In this episode, Sarah Silverman joins us to discuss teaching strategies that reduce access friction, increase tolerance for error, and create more inclusive learning experiences for everyone.

Sarah is an educator and faculty developer focusing on neurodiversity, disability studies, and inclusive instructional design. She currently teaches disability studies at multiple institutions. Sarah is the author of Classroom Mindscapes: An Introduction to Neurodiversity for Educators, which will be released later this month as part of the Teaching, Engaging, and Thriving in Higher Ed series at the University of Oklahoma Press.

Show Notes

  • Silverman, Sarah (2026). Classroom Mindscapes: An Introduction to Neurodiversity for Educators. Oklahoma University Press
  • Walker, N. (2021). Neuroqueer heresies: notes on the neurodiversity paradigm, autistic empowerment, and postnormal possibilities. Autonomous Press Fort Worth.
  • Transparency in Learning and Teaching (TILT)
  • Price, M. (2011). Mad at school: Rhetorics of mental disability and academic life. University of Michigan Press.
  • Pusateri, Jennifer L. (2026). A Practical Guide to Teaching Neurodivergent College Students. Harvard Education Press.
  • Jennifer Pusateri (2026). Teaching Neurodivergent College Students. Tea for Teaching podcast. Episode 446. May 20
  • Costa, K. (2026). An Educator’s Guide to ADHD. Johns Hopkins University Press.
  • Karen Costa (2026). An Educator’s Guide to ADHD. Tea for Teaching podcast. Episode 429.
  • Autreat

Transcript

John: Neurodivergent students bring varied strengths, needs, and ways of thinking to our classrooms. In this episode, we explore teaching strategies that reduce access friction, increase tolerance for error, and create more inclusive learning experiences for everyone.

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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 Sarah Silverman. Sarah is an educator and faculty developer focusing on neurodiversity, disability studies, and inclusive instructional design. She currently teaches disability studies at multiple institutions. Sarah is the author of Classroom Mindscapes: An Introduction to Neurodiversity for Educators, which will be released later this month as part of the Teaching, Engaging, and Thriving in Higher Ed series at the University of Oklahoma Press. Welcome, Sarah.

Sarah: Thank you so much for having me. I’m really happy to be here.

John: We’re really happy to finally have you on. I follow you on LinkedIn and other places, so it’s nice to actually have a chance to talk to you.

Sarah: Yeah, absolutely.

John: Today’s teas are:… Sarah, are you drinking any tea with us?

Sarah: So, I’m not literally drinking tea at the moment, but I’ve had multiple cups of tea over the past 12 to 18 hours or something. I have to admit I’m more of a coffee person, but I would say it’s more like a 60-40 split of like total consumption towards coffee.

Rebecca: All right. Well, I like that you play on both teams.

Sarah: Yeah, I do play on both teams, [LAUGHTER] and I have to give a shout out to my mom and grandmother who are both big tea fans as well. So if they happen to listen to this, that’s where I got my love of tea from.

Rebecca: Wonderful. My grandmother was a big tea drinker as well.

John: Mine too. Whenever my brother and I were ill as a child, we always had tea we were supposed to drink to cure is somehow… and eventually it worked.

Sarah: Yeah, I think there’s something to that. [LAUGHTER]

Rebecca: Tea is actually one of the very few things that I don’t like when I’m sick. I only like it when I’m very well. I have English breakfast today, John.

John: And I have ginger peach green tea today.

Rebecca: Nice. So, Sarah, we invited you here today to discuss Classroom Mindscapes. Can you talk a little bit about how this book project came about?

Sarah: Sure. So this book project came about, I would say, because of a number of intersecting and kind of colliding interests of mine. So, it helps to say a little bit about my own background, which is that I got my PhD in a STEM field, in biology. It was actually the field of entomology, which is the study of insects. So that’s a fun fact about me. But while I was doing that, I worked at the Teaching and Learning Center that was on the UC Davis campus, the Center for Educational Effectiveness, and I eventually went into that field and worked at a couple of similar places after that. So I became someone who focuses on teaching and faculty development, and I also had another area of interest, which is disability studies, which I was teaching in and researching, and also connecting to some of my own life experiences with neurodiversity. And one of the things I started noticing a couple of years ago is that there’s a huge amount of interest in the subject of neurodiversity in higher education, but not a lot of specific knowledge of the history and context. And I had taught mostly undergrad classes for a while, one part of them was exploring the history of neurodiversity and what this concept meant, and where it came from, and what its relevance is in the larger disability conversation. And I began to think to myself, I think that college teachers would really get a lot out of having a concise overview of this and having some ideas about how they might apply this knowledge to their classroom teaching. So yeah, I think that’s a little bit about how it came about.

Rebecca: That’s a great story

John: For faculty who are somewhat new to this topic, because as you mentioned, there hasn’t been much discussion of this in higher ed until really recently. How do you define neurodiversity, and how does it differ from the concept of neurodivergence?

Sarah: Yes, sure. I’d be happy to talk about that. I guess this is a good opening note for the whole conversation. Since this is kind of an area of special interest of mine, I have a number of details in the book that people might be interested in, and I’ll give good overviews during our conversation, and if you come away from this saying I really want to know more about that, then yeah, definitely check out my book. It has even more detail, more references, different things like that. So anyway, neurodiversity, we could say, describes the fact of cognitive variation in the human population. So it’s a form of variation, and we have many types of diversity or variation in the human population. So all three of us certainly vary in height. We probably have many other things that we vary in, and similarly, cognition varies between all people. And I’ll go with neurodivergence next. Neurodivergence is a concept that came out of the autistic self-advocacy community, and then became broader, which describes people whose cognition does not align with societal norms or what’s typically understood as normal cognition in society, and sometimes also normal behavior or communication in society. So, someone who’s neurodivergent may have one or more traits that, in a given context, distinguish them as different from the majority of people. And like I said, this is a concept that originally came out of autistic people’s self-advocacy, and neurodiversity also came out of that movement. One thing that people often ask me is: “Is neurodiversity real such a neutral idea?” like okay, you know, humans all vary in cognition, or is it more of a positive spin on this idea? And I think both are true in a sense. It can be used in a very neutral way, just the fact of variation. But the context it comes out of is specific enough to give it a slightly different valence, which is that when autistic people first came together in these communities, primarily online in the mid- to late-1990s, autism was one of the most highly stigmatized diagnoses out there, and this community was searching for a way to think about themselves, to talk about themselves that was not entirely based on deficit and considered more strongly what strengths autistic people may have, how they could lead good lives with appropriate support and acceptance, and so neurodiversity did in some ways emerge in that context as a positive spin on human cognitive variation.

Rebecca: So that seems like a nice segue into one of the things that we often hear are some misconceptions about neurodivergent students. Can you talk a little bit about what some of those misconceptions might be?

Sarah: Sure. Yeah, I can tell you some of the ones that I think are the most common or the most notable. First of all, you may have noticed in my previous definition that I didn’t say neurodivergent people have one of these five diagnosed disabilities, or something like that. So neurodivergence is a concept that exists somewhat in contrast to, but at least alongside, the medical diagnostic model of cognitive variation. So it’s true that a lot of faculty may meet, or teach, or work with students who have a specific diagnosis, such as autism or ADHD, learning disability, or dyslexia, but not all neurodivergent students are going to have such a diagnosis, or even be like theoretically eligible for one if they were to pursue a process. So neurodivergence is much more of a kind of a sociological contextual concept than a medical one, and so it is entirely possible that faculty may work with neurodivergent students who don’t really have any sort of medical diagnosis, and because of that, they also may not be always eligible or interested in academic accommodation. So I think that’s a very common understanding or maybe misunderstanding that everyone who’s neurodivergent will have or will require accommodation. I think alongside that, it’s a pretty common misconception that all neurodivergent students have academic difficulties. That’s not absolutely true. It may be more true for some groups of neurodivergent students than others, but a lot of people who are neurodivergent who are in college now, they may have either developed really good coping mechanisms with great support during their K to 12 journey, their neurodivergence also may not manifest in ways that make the academic environment difficult for them. It may be that they are able to exist well within an academic environment, maybe they experience more social challenges or barriers than academic ones. So not all neurodivergent students require accommodations or will struggle academically. Another really common assumption that sometimes people make is that neurodivergent students either cannot work in groups or won’t be very successful in groups, and I think that sometimes becomes a bit of a self-reinforcing loop where faculty will kind of make this assumption and then not design or offer group activities in a way that is going to be inclusive of a lot of different participants, and then sometimes that results in people kind of asking, “Can I be exempted? Can I use my accommodations to not participate in this group assignment?” And so that’s one thing that I would really love to see people rethink, which is this misconception that neurodivergent students have difficulty working with other people as a general rule, and that’s kind of absolute. I think that that’s a pretty bad misconception. Lastly, I think one misconception that I hear a lot as well is that if somebody is noticeably neurodivergent, then that automatically requires some sort of response from the instructor. One of the most common questions I’ll get in my consulting or faculty development work is, “There’s somebody in my class who I think might be neurodivergent. What should I do?” And my first response is usually, “You certainly don’t have to do anything. As far as I understand, everybody who is admitted to your institution is welcome to take your class.” But if what you’re really saying is, “I’m not having success interacting or communicating with a student in my class,” or “I can see that they’re struggling with something,” or that they’re not getting as much out of interactions with their peers as I hope they would. Well, then, yeah, we can work through that. We can come up with some ideas for how to speak to the student and how to find out what they do need. But yeah, it’s not in any way [LAUGHTER] something that needs to be responded to just because you’ve noticed that somebody might be neurodivergent in your class. Those are a couple that have come up a lot in my work.

Rebecca: That’s a really good summary, Sarah. Thanks.

John: And you noted that not all neurodivergent students need accommodations, but some would benefit from those. But they don’t always request accommodations. Why might some neurodivergent students not seek accommodations? And for those students, how might faculty invite them to relay information so that we can address any needs that they have.

Sarah: So I guess I’ll say that first of all, accommodations are a very important tool in many circumstances. They’re obviously legally required in cases where they’re where students are eligible for them, but there’s a lot of areas… I wrote about a couple in my book… that I’ll just summarize quickly. So one reason may be that a person just fears some sort of adverse judgment because of the stigma of their disability. For example, maybe a student’s been judged negatively in the past because of their learning disability during their previous educational experiences, and they might think that was a negative thing in my life. I wonder if I can avoid that by not disclosing a disability to anybody and seeing how I do on my own, something like that. Another, and this I think is going to be increasingly common because we do know that diagnostic rates are going up for many of these diagnoses, is that the knowledge of the disability or form of neurodivergence, it might be new, or the person doesn’t have yet sufficient information about what they will need, and so they may not yet be sure how to advocate for themselves through the disability office. Though that could also apply to advocating for themselves directly to their instructor. For example, I met a student recently who told me that they are neurodivergent and that they recently went through the ADHD diagnostic process, but they just didn’t know what it meant for their academic life, [LAUGHTER] if anything. And so they said, “I know that you mentioned being interested in neurodiversity, so I thought I’d come and chat about it, but I really don’t know how it’s going to impact things. And they said, “Maybe next semester or the one after, after I have some time to process, I’ll meet with disability services to see.” That’s another. There’s also often additional burden in disclosing a disability and going through the accommodations process in terms of time. It takes a lot of time and energy. They may not feel that they want to spend their limited time [LAUGHTER] on this, as time is limited for everyone. And it also may be the case that somebody knows that they’re neurodivergent and just simply has no diagnosis or anything that would qualify them for accommodations. But even so, they may need some kind of flexibility or may benefit from some sort of flexibility. So I think that kind of covers a whole range of reasons someone might not be in contact with a disability office and request accommodations. So yeah, the second part of your question: How might an instructor signal openness to hearing about somebody’s needs or preferences? So, I can tell you a little bit about what I do, which is a little bit colored by my own personal story. Not everybody will be able to do this or will feel comfortable doing it, but I do talk a lot about my own neurodivergence when I teach, and I kind of use that as a segue to suggest to students that they are welcome to talk to me about any access needs or anything that’s going well or not well for them in the course, so I’ll often just kind of model like, “Okay, here’s a little bit about me as a teacher and a learner. Here are some of my own access needs, and just the same way I’m sharing this information with you, if you would like to share similar information with me, it doesn’t have to be about disability or neurodivergence specifically, but anything about what you need to be successful learning in the course, if there are any kind of red zones of like things that you really don’t do well with or would like to avoid.” Another really good one that I try to offer my students is I ask them to tell me how they want to be communicated with and how they want to receive feedback on their assignments, and they’re welcome to change it if that changes. But for example, instead of waiting for someone to hand me an accommodation letter that says I need all communication and feedback in writing, I ask people, “Can you tell me how you would best receive this information?” And I try to provide it to them in that way. I think if you’re not kind of willing to do any kind of self-disclosure or model the sharing of your own access needs, but you are interested in the neurodiversity of your class, it could always be something that you say like, “I’ve been learning more about neurodiversity, either like I read a book or I went to a talk, and I’m really excited about learning more about all of you. If there’s anything that you want to share about like how you’ll learn best in this class or things that I should and shouldn’t do to support you, here’s how you can do that,” and I think that that makes a lot of sense to maybe separate a little bit from the disability accommodation statement that we usually have to put on the syllabus. Just because I never want to step on the toes of the disability services folks, they often, for good reason, have their own specific language that they like to use, and I don’t want to in any way kind of like complicate what it is that they offer, but to also talk more about what I can offer as the instructor, as in like being open to hearing, being open to flexibility, being open to modeling the sharing of access needs. That’s kind of how I approach it.

Rebecca: One of the things that sometimes can be really helpful, I think, for first-year students in particular is actually just describing what the process of going to the disability services office is because it’s different from what they experienced in high school. And so, there’s often such a giant learning curve, and it’s not obvious. Many of them might actually think that their accommodations that they had in high school are just going to kind of carry on, and that somehow that’s continuing in the way that it did through high school.

Sarah: Yeah, I think a lot of college faculty are unlikely to be familiar with this big transition unless they’ve dealt with it themselves or with their kids or someone that they know. But in the K to 12 system, it’s usually the district or the school that’s responsible for identifying students with disabilities and making sure that they’re receiving appropriate services and accommodations, and the responsibility completely shifts to the student themselves in higher education. So their institution is not responsible for identifying them or determining what they need. They have to do all of that advocacy work themselves, and so, of course, certainly they may bring documentation from their high school experience to help support the process, but it’s not a straight through line, I guess you could say, from K-12 to college, and I know that’s why a lot of people who work with neurodivergent young people focus a lot on this transition to independent self advocacy at the college level because it is a pretty major transition.

John: You describe teaching in the neurodiversity paradigm as defined in your book. What distinguishes this approach from other inclusive teaching practices?

Sarah: So I describe like my approach to neurodiversity as teaching in the neurodiversity paradigm. In some ways, to specifically identify my approach as relevant to all students and instructors rather than only about neurodivergent students, and so it’s worth just talking a little bit about what the neurodiversity paradigm is, and then kind of how I apply it to teaching. So the neurodiversity paradigm is kind of like a philosophical approach to neurodiversity that was developed by Nick Walker, who wrote the book Neuroqueer Heresies which is like a pretty foundational text about neurodiversity. But in my book, you can read a paraphrase of it. The basic idea is that human cognitive variation is overall a positive thing. That doesn’t mean that every form of variation is desired or positive for an individual person, but the fact that human cognition varies quite a bit is generally a positive, and that there isn’t a single best or right type of human mind, and there isn’t a single best way to think, behave, or communicate. That’s kind of how I paraphrase it. And so, the way that I try to apply this to teaching is to ask the question: What if we really committed to this in our teaching of saying that there isn’t a single best way to think, behave, or communicate, and what would that do to a lot of our assumptions about how we design courses, how we interact with students, the behavior that we expect of students, all of that sort of thing? So when I talk about teaching in the neurodiversity paradigm, there’s two other concepts that I think are really integral. One is the idea of tolerance for error. This is actually a feature of universal design, not UDL, but the architectural version of universal design. And tolerance for error is really about any kind of design that minimizes adverse consequences for mistakes. So one of the built environment things is that you can pull the lever up or push it down to open a door, or also like when you enter a password or something, it doesn’t automatically lock you out if you type it wrong one time. And I think that this is really useful in my kind of neurodiversity paradigm idea, it’s a really useful thing to apply to the classroom as well. A lot of my experience as a student, I would say, is of a lot of misunderstandings that ended up being viewed by my professor as a not meeting learning outcomes, or even laziness, or things like that. And I think that adopting the idea of tolerance for error might help bring a little bit more humility to misunderstandings and miscommunications that often occur between students and instructors, whether the people involved are neurodivergent or not. So I have a lot of examples of how tolerance for error could work in the book, and then my last concept that I think is really useful is that of access friction, which I’ve also written a lot about in some other venues, access friction is any situation in which there’s a conflict of access needs, and I think this is really relevant to teaching in the neurodiversity paradigm because, first of all, neurodivergence is a kind of concept about how some people’s cognition differs from what the assumed norm is. Not all neurodivergent people have the exact same needs or strengths or challenges, and far from it. Even within a group of all neurodivergent people, there’s probably going to be a conflict of needs that emerges in some way. I think a really common one that I see in the teaching environment is I have taught a lot of autistic students who prefer written communication and are much more successful with written communication. And then I’ve had some students with learning disabilities and specifically dyslexia who struggle a lot with written communication and greatly prefer verbal communication or visual aids or other media. And so those are two neurodivergent students who have contrasting access needs or preferences, or what would be ideal for them. So I also think a lot about how access friction can occur between students and instructors. Instructors themselves often have access needs or constraints on their time or their capacity, and this can also conflict with what students sometimes need. So I say overall, if I had to summarize, all of my teaching in the neurodiversity paradigm ideas are about negotiating difference and understanding between students and students, and students and instructors, rather than viewing neurodivergent students as a group that has challenges that need to be remedied. But it’s kind of a broader picture of recognizing that people do have really different needs and understandings, and that the negotiation of those is to be expected rather than this kind of shock to the system when it has to happen.

Rebecca: One of the things that I’m thinking about as you’re describing both kind of reducing access friction and also increasing error tolerance is what are some of the common ways that folks might approach teaching or teaching strategies that folks use that might be adapted a bit to reduce that friction or to allow for more error?

Sarah: So when we talk about what we’re up to, [LAUGHTER] definitely more about my new access friction work, just as a little preview. So especially for tolerance for error, I like to think a lot about trying to avoid situations in which either format or audience or any kind of one factor can tank the grade or the achievement of the learning outcomes, and there’s no kind of recourse for that. I think that, oftentimes, that can be done with design. I really appreciate approaches like TILT, transparency in learning and teaching. So intentional ways of making sure that the expectations are communicated, or that students have opportunity to clarify them as much as is needed or as is feasible. On the other hand, I think that tolerance for error can often also be achieved on the instructor’s side after the error. I have a really good example of this. I write about it in the book. So a story was told in a kind of research article about the experiences of autistic students, that a student submitted a lab report and they had kind of tried to meet all the expectations of the instructor, but ultimately they got not such a good grade, or they got marked down or feedback in some way that they had misunderstood the audience. So the instructor wanted them to write a scientific lab report to the audience of somebody who does not know anything about the experiment and is going to get all the information they need, and apparently maybe they hadn’t communicated that as clearly to the students. This autistic student who was the subject of the discussion in the article had basically written the lab report with no background information, and when asked, the student said, “Well, I think the most obvious audience of this is my instructor, and he assigned the lab, [LAUGHTER] so he knows all of the background information, and that doesn’t need to be repeated. And in certain spaces that I’ve seen this anecdote discussed, this was viewed as a deficit in perspective taking for the student, so to kind of incorrectly understand that the lab report should be written for a general audience, and to make the mistaken assumption that the audience is the instructor. I think this is an area where tolerance for error could be applied, to kind of say the student actually did recognize an audience quite correctly, in a sense. There was an overlay of the writing instruction here that the instructor did have a different idea of what they were hoping for, but to put it very bluntly, I don’t think anyone did anything wrong. And to suggest that this is going to have a very adverse consequence on the student’s grade, I think that’s like where I would try to apply tolerance for error. It was a difference of understanding that’s reasonable, maybe difficult to have avoided in the first place, and I would want to get away from the idea that that needs to be punished in grade form in some way. And, I don’t know, there’s a number of different responses I could make. If I were the instructor, I would probably go back to the idea of teaching in the neurodiversity paradigm, to just kind of sit and ponder. That’s not how I thought about it, and that’s not how I thought I communicated it. But I do see how they interpreted it, and what could be the positives in that? What could this student be bringing to the assignment that I didn’t anticipate? What strength did they demonstrate by interpreting it in this way, if any? And how do I carry that forward? The answer might be different for every instructor, and someone also might turn around and say, “Okay, I just have to make sure that this doesn’t happen again. I really need them to write for a general audience with appropriate background information.” But what do you do with that incident? Do you say, “Okay, that person wasn’t able to take perspective,” or do you say, “What did they demonstrate in terms of their understanding of the whole assignment.”

John: So transparency in expectations is really important. But when instructors are vague, they should allow students to interpret it in a reasonable way in that case.

Sarah: Right, yeah, that’s one way of putting it. And I’ve written a little bit about this on my blog. But if you are a neurodivergent instructor, I think that the whole concept of transparency, it can be a little bit tricky because one of the base experiences I think of being neurodivergent is that people often interpret what you say in a really different way than what you’re expecting and I’m often taking extra lengths to kind of explain specifically what I mean to other people and so I have less of an expectation, I guess, as an instructor that people will understand what I’m saying or what I want the first time, and I expect a lot of clarification. And I’ve also come to realize over time that people sometimes have completely other factors or information that are affecting their understanding that I don’t have access to, and I can’t change. This is an example that I think I wrote about in the book, but it kind of demonstrates this. I had said to students in a class where they had a discussion board assignment: you don’t need to write in the formal academic style, and you don’t need to use APA citation. That’s not the point of this assignment. The point is something else, to discuss or to offer your own opinion on the readings. But then, even after I had said this a lot of times, I saw some students were still doing it. They were still writing a formal introduction sentence. They were still doing parenthetical citations in the APA reference formatting. I kept thinking about it, and I eventually asked some of them, and I was like, “But did you hear or did you remember that I said you didn’t need to do that?” And they said, “Yeah, but all of our other professors do require it. So it was hard to imagine that you were serious about this, basically.” [LAUGHTER] And that happened with another assignment as well. I don’t remember exactly what it was, but I thought that through, and I said, “Well, they’re right about the fact that this institution does prioritize a certain kind of consistency about policies throughout different courses. This just happened to be one area where I didn’t do the same thing as their instructors, and maybe their prior experiences they had never had an instructor say you can choose what to do in some of these ways, and it felt like the most conservative thing to do to say, “Ah okay, I’ll just do it the way that the other instructors were doing it,” so I didn’t know that that’s how they were thinking about it. Obviously, no one was harmed in the course of this. [LAUGHTER] It’s not that big of a deal, but it’s just one illustration. I find it endlessly interesting to figure out, okay, how did you interpret that, and why? And that helps me update how I communicate in the future.

Rebecca: You provided a few different examples of what to do after something was misinterpreted or just differently interpreted. Can you talk a little bit about some of the proactive strategies instructors can do to put some structures in place that are friendly to a wide variety of audience members?

Sarah: So, if you do end up reading the book, you’ll find out that I kind of am not a big fan of saying, “Okay, well, there’s these clear strategies that are definitely going to work.” I tend to phrase things into the buckets of like an area to check. Like, here’s a certain phenomenon in the classroom where you might want to check out the design and what’s going on here a little bit more closely. And one of the models of that that I really like is the idea of a kairotic space, and Margaret Price introduced me to that term in her book, Mad at School. And chirotic is a way of saying something that is very dependent on time in a certain sense, because kairos is the like classical rhetorical concept of being at the right time, and she kind of defines kairotic spaces in the classroom as either things that are rapidly unfolding, or highly social, or high stakes, or potentially all at the same time, and I think that those types of activities are really good places to do further analysis of how they might be impacting neurodivergent students or groups that contain neurodivergent and neurotypical students. So any activity that is designed to be highly social or where the highly social element is considered a benefit of it, this may not work the same way for all students, including maybe some neurodivergent students. And it might be interesting to think about building in options for that kind of situation that is highly social. For example, if you’re imagining it will be fun for students to spontaneously meet with a group of their peers and to share about themselves, or share what they did over the weekend, or share where they come from, to kind of think about: okay, might there be a range of prompts that people can answer, might there be a range of formats in which they could answer? Could they share something in text form or not in a verbal form? Could people opt to do that in just a pair of two rather than a group of four or five? Could somebody opt to do that in a quieter space instead of in a space where everybody’s talking all at the same time. I think another area to check that’s somewhat similar is any kind of very rapidly unfolding activity where either something is timed, like there’s timers going off and cutting people off, or where people have a very limited amount of time to answer a question or do a task. The reason that I mention this in the context of neurodivergence specifically is that a lot of neurodivergent people process certain kinds of information at slower or sometimes faster speeds, depending on what it is. For example, like there’s a number of autistic people who process verbal information more slowly, and I think people with certain kinds of learning disabilities may also process some kinds of information more slowly, and so kind of building flexibility into how much time people have for something, whether they can have time at home to process the information that’s going to be needed within the class session, or transition it into a different format that works well for them. I think that’s really great, and then I think as well to consider whether some of these types of activities have to be as high stakes as you originally think. I call this sometimes highly layered activities where something is both highly social and rapidly unfolding and high stakes all at the same time, when it doesn’t necessarily have to be that way. So the idea of giving students experience with working as a team with other students, it doesn’t have to be 50% of their grade [LAUGHTER] or 30% of their grade to get that experience. Working collaboratively doesn’t have to be with four or five other people; it could be with one other person. And to kind of think like, how can you pull different levers to make something into more of a learning and practice experience than a high-stakes everything that’s hard all combined at the same time. I think that that could be an area to further investigate if you are teaching neurodivergent students or you’re interested in responding to neurodiversity more in your practice. So I know that’s not like a checklist, but a checklist perspective doesn’t align with how I think so much. So those are just like some areas that I would investigate further.

John: So there are some areas where things that work well for some students won’t work as well for other students, and I think what you’re saying is that we can’t just come up with these hard and fixed rules that’ll work for every group of students. We have to somehow negotiate these things. But one of the areas where there’s often some challenges for students that are neurodiverse is when classroom participation is part of the grade in some way, because some students are much more comfortable with some forms of classroom participation than others. What sort of strategies might work to provide a balance that would work for most of the students in terms of class participation?

Sarah: So I’m a big fan of offering multiple options for participation. I think that a reasonable person could differ from me in saying I want students to participate in certain ways, at least some of the time. I generally don’t mind if students exclusively participate via text or discussion board and if they don’t speak in class, some people do, and I think that it’s reasonable to say, okay, I want to build an environment in which people have structured on ramps, I call them, to participating in class verbally. But generally speaking, to say there’s multiple ways to participate, and those can be chosen from to a certain extent is a really great start, I think as well, beyond the kind of like counting up how many times people participate. You mentioned the idea of like faculty perceptions of student class participation. It may be interesting for faculty to expand what they perceive as successful class participation, and one category I hear a lot about when people talk about their neurodivergent students is actually what they refer to as quote too much participation versus not enough. It’s a pretty common story that I’ll hear, someone will say, “There’s a neurodivergent student in my class, and they raise their hand all the time, and I think that actually maybe there’s other students who would like to participate, but maybe they’re not taking the opportunity because this person talks a lot.” And I kind of go back to the neurodiversity paradigm ideas again as well, which is okay, like first, can we start by saying what strengths is this person demonstrating? What are they offering? Somebody told me at first. I was thinking about how to get this person to stop raising their hand, but then I realized I go to sleep at night wishing my students would participate more [LAUGHTER] and that they would be as passionate and engaged. So I think I have to start from there. If the balance of who’s speaking in my class isn’t quite working, to not start from the perspective of I don’t like how much this person is participating, but I’m really glad that they’re so enthusiastic, and I’m grateful for their presence. So now I want to think about how I can encourage the participation of everybody in the class. Maybe think about is there a way that I want to balance the voices that are present, the modality of the participation, all those sorts of things. I am also a big fan of creating opportunities to record and get out a lot of questions. So I am probably one of those people who participates like a little bit too much [LAUGHTER] sometimes. So like the idea of having a question parking lot so you can put as many questions in here as you want, and as the instructor, I will get to as many as I can. Maybe I’ll review and summarize them and respond to a couple at once, and above all, to talk explicitly about what you’re doing as a facilitator. Say, I’m trying to encourage as many people to participate in the following ways. I’m going to be facilitating the conversation by moving on from certain points because I have areas of content I want to cover. But just kind of externalizing that, I think, is also really great.

Rebecca: It sounds to me like a lot of the strategies that fit into this neurodiversity-informed teaching approach could be really beneficial to all students. Is that the idea?

Sarah: Yeah, I think so. I think part of the way that I frame everything is that neurodiversity includes everybody, so it doesn’t include just neurodivergent people, and so a lot of the strategies that I introduce are aimed, I would say, a little bit less at things that specifically target neurodivergent students and more about coexistence and negotiation between large diverse groups of people. And that is not to suggest that there aren’t wonderful resources for supporting neurodivergent students. I think you’ve actually had some people on the podcast who have written really wonderfully about that. Specifically, Jennifer Pusateri just had a new book come out supporting neurodivergent students. Karen Costa’s book about ADHD learners was really great. There’s a couple books I have on my bookshelf about supporting autistic college students. Those are all really, really great. I think the approach I wanted to take a little bit more here was okay, but it’s never just one neurodivergent student or a group of all people with the same needs. It’s a pretty complex mix of people, including the instructor, and so that’s kind of the approach that I take more in the book.

Rebecca: I do think that’s something that we hear from faculty a lot is like, how do I balance all these like really different needs? So it’s certainly a resource that I think people are hungry for.

Sarah: Okay, that’s great to hear.

John: You’ve already hinted at this a little bit, but could you tell us about what’s next?

Sarah: So, as I hinted at earlier, I’m really interested in the concept of access friction, which is the conflict between different sets of access needs you could say. So, I’m working on a whole new book project just about access friction, and it will hopefully be published with the same press in the same series. So that’s exciting. And in that book, I’m really going to kind of explore and theorize and research instances of access friction in the classroom, a focus on higher ed pedagogy, and really think about the specific steps we can take to balance different needs in the classroom. So I’ll be answering or hoping to answer all sorts of interesting questions, such as: Is there an inclusive strategy or set of them that truly does include everybody? And even taking a little bit more of a curious and critical perspective on the idea of inclusive teaching strategies themselves, I think that what I’m hoping to do with further research on access friction is, in some ways, just give voice and give name to a phenomenon that I know that a lot of people have experienced [LAUGHTER] some time in their teaching journey, but not really knowing exactly what to do with. And I’m like really happy to be working more deeply on that topic, and I guess I should also say it’s very connected to neurodiversity for me because of the fact that neurodiversity and neurodivergence refers to a coalition of people, kind of a group of people who may share that their cognition differs a little bit or a lot from social norms or expectations of society, but not that everybody has the same needs.[LAUGHTER] And just going back to my interest in neurodiversity history, some of the first events that the autistic community put together-one was called Autreat, like retreat,[LAUGHTER] but autistics for retreat. So you can look back at some of the writings about that and just see some of these advocates noting that even in a retreat that was only for autistic people, they experienced significant disagreement and friction over how it should be run, how it could be accessible to all people, and so this has been a through line of Classroom Mindscapes, and so I’m hoping to just kind of expand on that a little bit more. And my other thing that’s next, I’ve been currently both leading and also just participating in a lot of discussion about instructor interest in lower tech teaching or taking technology away from classroom interactions, probably spurred by increasing AI use and penetration [LAUGHTER] of the whole teaching community. And so I’ve been really interested in how that can align with accessibility commitments and interest in accessibility.

John: As we were going through this, I was noting this is one of the few podcasts we have where AI did not come up right until then. [LAUGHTER]

Sarah: Well I had to get in in. Yeah.

John: But it did, yeah.

Rebecca: It always does. These sound like some really great projects. I’m looking forward to seeing where they lead.

Sarah: Yeah, thank you.

John: I’m looking forward to getting my copy of your book, which should be coming out later this month, and also looking forward to future conversations about access friction and other things. And in general, that’s just an incredibly good book series for people in higher ed.

Rebecca: Thank you so much for joining us.

Sarah: Yeah, thank you so much for the invitation. I really enjoyed meeting and talking with both of you.

John: Thank you.

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

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

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460. The Problem with Grades

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

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

Show Notes

Transcript

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

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

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

John: …and Rebecca Mushtare, a graphic designer…

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

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

Jessamyn: Thank you for having us

Ashley: Yeah, thank you.

Cole: Happy to be here. Thank you.

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

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

Rebecca: What?

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

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

Jessamyn: [LAUGHTER] Nope, nothing.

John: Okay, Ashley?

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

Rebecca: So fancy iced tea.

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

John: And Cole, are you drinking any tea?

Cole: Currently drinking coffee.

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

John: At least one.

Rebecca: Yeah. [LAUGHTER]

John: And Rebecca?

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

John: That’s not like you. [LAUGHTER]

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

John: Today I have a Darjeeling tea.

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

John: We are.

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

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

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

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

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

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

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

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

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

Rebecca: How about you, Cole?

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

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

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

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

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

Rebecca: Sorry.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

John: A follow up for

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

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

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

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

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

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

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

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

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

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

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

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

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

Ashley: Oh, thank you.

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

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

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

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

Ashley: Absolutely.

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

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

Rebecca: Awesome.

John: And when will that book be coming out?

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

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

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

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

Ashley: Thank you so much.

Rebecca: How about you, Cole?

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

Rebecca: It’s a good attitude.

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

Rebecca: That’s great.

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

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

Rebecca: Yeah, and we appreciate you all.

Jessamyn: Thank you

Ashley: Thank you so much.

Jessamyn: Thanks for having us.

Cole: Thank you very much.

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

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

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458. A Neurodiversity Framework

Institutions are increasing their focus on creating inclusive environments. In this episode, Megan Kohler joins us to discuss a course design framework she developed to support neurodiverse learners. Megan is an Assistant Teaching Professor and Learning Designer in the John A. Dutton e-Education Institute at Penn State. She is the recipient of the Marion G. Mitchell Award for Innovative Teaching and is conducting research, funded by the Schreyer Institute Scholarship, on supporting neurodivergent learners in higher education. Megan is one of the co-editors of The Multi-Disciplinary Instructional Designer: Integrating Specialized Skills into Design Toolkits.

Show Notes

Transcript

Rebecca: Institutions are increasing their focus on creating inclusive environments. In this episode, we discuss a course design framework to support neurodiverse learners.

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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 Megan Kohler. Megan is an Assistant Teaching Professor and Learning Designer in the John A. Dutton e-Education Institute at Penn State. She is the recipient of the Marion G. Mitchell Award for Innovative Teaching and is conducting research, funded by the Schreyer Institute Scholarship, on supporting neurodivergent learners in higher education. Megan is one of the co-editors of The Multi-Disciplinary Instructional Designer: Integrating Specialized Skills into Design Toolkits. Welcome back, Megan.

Megan: Hi. Thank you so much for having me here today. It’s great to be talking with both of you again.

John: We’re very glad to have you back again. It’s been a while.

Megan: It has.

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

Megan: Oh, I’m always drinking tea. [LAUGHTER] I have a lovely new tea, and if you’re willing to indulge me in a short story, I’d love to share that with you. So the tea that I’m drinking today is called Paris, and it’s by Harney and Sons. And I discovered this tea completely by accident. It was Mother’s Day, and my husband decided to take me to this lovely little creperie. It’s like 45 minutes away, and I only drink tea, not a coffee drinker. And we get there, and they don’t have my tea, and so he grabbed this one, [LAUGHTER] and I tried it, and absolutely fell in love, and this one has become my go-to tea. So I highly encourage you all to try it. because it’s absolutely delicious.

Rebecca: Such a great story! I had a tea emergency that John solved for me today, so I’m drinking a decaf Irish breakfast tea.

Megan: Oh, I love Irish breakfast! It’s so good. It’s got a lot of great flavor to it.

Rebecca: Yeah, nice and bold, nice and bold.

John: And we’re in the midst of getting this cloud of smoke from Canada from the fires that are burning there. In honor of that, I have some lapsang souchong tea, which is a smoked tea. So it just adds to the ambiance of the day here.

Rebecca: So it’s smoky inside and out. [LAUGHTER]

John: Equally.

Rebecca: So we’ve invited you here today, Megan, to discuss your framework for supporting neurodiverse learners. First, though, can you tell us how to define neurodiversity?

Megan: That’s a great question, and it’s also somewhat of a difficult question, and I’ll explain why. So first and foremost, I try to keep things very simple. I think the more simplistic we can keep things, the more approachable they become for people, and that’s something that I really want to keep in mind in doing this work. The more approachable something is, the easier it is for people to buy into it or to understand it. And so I think of neurodiversity as largely just differences in the way that our brains function, most often because of some form of condition such as autism or ADHD. Those are the two most common ones that people think of, but it goes so far beyond that. It also includes things like post-traumatic stress disorder, and a lot of people typically think of like military veterans who have had some type of traumatic experience. But it’s more than that too. You can have trauma from a wide variety of things in your life. So there’s cancer survivors who you talk about their experiences having PTSD from cancer treatments that they’ve undergone. It also includes other conditions such as dyslexia. Dyslexia is actually the most commonly diagnosed condition over autism and ADHD, but yet, autism and ADHD are the ones that people typically go to. And so, the reason why I think it’s a little challenging to come up with or to have a definition of neurodiversity is because there are so many different perspectives that end up tying into this. So we have the medicalized version of neurodiversity and what that means, and then we have the social movement and what that means, and then in between those two sort of opposite ends, we have the lived experience that fits between those, and that lived experience is something that people hold very dear and very close to them, and that can impact the way that they see and understand and perceive certain things about neurodiversity and the many conditions associated with it, so it’s not as simple and as straightforward as it seems.

John: So there’s quite a bit of diversity in terms of neurodiversity, which makes some sense, I think. So how did you first become interested in focusing on support for neurodiverse students?

Megan: It was about eight years ago. My daughter was first diagnosed, and it’s a very long story and heart wrenching for me. I’ll try to summarize it briefly, but essentially we had had her in a daycare. We had her in a Montessori school, and that was after having her in a different daycare, and they kept telling us your daughter’s really, really smart. And we were like, “Oh well, thank you.” And they’re like, “No, no, no, no, she’s really smart.” And it was actually their encouragement that we sought out a more academically focused program, such as Montessori, and that was kind of always in the plan to begin with because my husband and I both work at Penn State University and education is something we’re very passionate about. So we had had her in this Montessori school, and we went there for an open house, and they started telling us all of these wonderful things about her, and they had her demonstrating all of these things that she could do for us. And then the teacher at the end of the night said, “I would really love if you’d come back in and we could have a more detailed conversation about your daughter.” And so I got really excited. I was like, “They’ve just told me how brilliant she is and showed me all these wonderful things that she can do.” And so I went in for the conversation, and as it went on, they just started sharing more and more of these things, and they were like, “We notice that your daughter isn’t engaging in cooperative play, and that’s something that we typically see at this age and stage of development.” And so they just started talking about all of these different things that they had observed with her, and then towards the end of that conversation, they were like, “We think that she might have autism, and we think that you should get her evaluated to see if this is the case.” And so it turns out that she doesn’t have autism; she has ADHD. But it was through that very long journey of trying to get her diagnosed, and then eventually getting the diagnosis that, as a mother, you want to do everything you can to try and support your children, and so I dove into the research and started to recognize two things: one, that I also had undiagnosed ADHD my entire life, and the light bulb went off, and I was like, “Oh my gosh, this explains so much,” and that’s very common in terms of how people are starting to recognize their neurodivergence, but then also something else that occurred to me at that point in time was that there’s a lot of support in K through 12, but then once students were going to college, that support largely dropped away. Now again, this was eight years ago, and we’ve seen some tremendous changes occurring in higher education, especially around the amount of support that’s being offered, but there’s still so much work that needs to be done, and that’s actually one of the reasons why I designed the framework that we’re going to be talking a little bit about today, is because everything I saw was very fragmented, and there was no comprehensive, clear pathway that spoke not just to how do we support our learners from a learning perspective, but how do we also address some of these more personal belonging needs?

Rebecca: Can you talk a little bit about why the framework needed to be created? In other words, why don’t traditional methods work for neurodiverse students? What challenges do neurodiverse learners face?

Megan: So, first of all, I think that there are actually a lot of strategies that do work. It’s just when you’re looking at the ocean that is learning, how do you whittle it down to find the strategies that are most supportive of neurodiversity, and that’s essentially what I’ve tried to do for educators, is to dive into that research and to figure out, okay, well, what are their needs? Where do we start? How do we even go about this process? And that was largely driven by my daughter because I wanted to make sure that once she gets to college, she’s been supported too. So to sort of cycle back to your question, there’s a lot of strategies that do work. Challenges that neurodiverse learners face in the more typical or more traditional classroom consist of a number of different things. First and foremost, there is a lack of understanding and awareness about what neurodiversity actually is, and there’s a lot of stereotyping, and we need to be very careful with that. And we’re also starting to see, because it has become more prominent, there’s a lot of labeling that is going on. I’ve heard people in my different social circles, and they will be like, “Oh, you know that person? Oh, they are so on the spectrum,” and that’s exactly the type of conversations or statements that we want to avoid making. You don’t ever want to do that to somebody, and you don’t know what their circumstance is. You don’t know whether or not they have a diagnosis, or they could simply be a person who is just a little quirky. That doesn’t mean that they are neurodivergent, so we need to be really, really careful about saying things like that and putting labels where labels might not apply. But some of those challenges, I think the most prominent one from my perspective is really sort of a social component. It’s really making sure that our diverse learners a re supported and made to feel like they belong. Belonging is such a huge piece of the experience that we’re offering nowadays, and it’s really interesting because educators and institutions as a whole are starting to recognize how much the belonging piece impacts whether or not a student chooses to stay at an institution, and not only that, there’s a lot of other research that shows us that when we start to engage students in things like social emotional learning, they’re building those skills socially, but they’re also ending up developing and reinforcing other skills that are critical to their academic experience.

John: What are some strategies that we can use to create the sense of belonging, so that students do not feel like they have some sort of a deficit?

Megan: Yeah, that’s a great question. [LAUGHTER] This is one of the reasons why I love talking with you both, you both think so deeply about topics. So some strategies that we can think about, and this is tapping into the model a bit, things like co-designing. So when you sit down and you work with a student, or even if you share an assignment, for example, with the entire classroom, allowing those students to come in and give their thoughts and ideas on the assignment, see how it might need to be altered in order to make them feel as though it’s something that’s achievable and attainable, and to revise instructions that maybe don’t make sense to them from their perspective. Allowing that exchange to occur goes a long way to making a person feel as though they are accepted. We can also talk about things like normalizing if somebody does have some type of a learning difference or a disability in which it can be supported. When I give my keynote talk about this, there’s an example that I give about how using transcripts from videos or even creating audio recordings of the lectures, so having the ability for every student to be able to not just read the text but also to download an audio recording. I had a faculty member who did that several years ago, and the students loved it. They just kept writing her all of these notes saying “this was so fantastic, so wonderful. I was able to download this, and I could listen to it at times that worked for me.” And when you do that, you take some of the stigma away from people who need that different format, and now you make it something that is really cool because now it’s just this different format. It’s this different modality. There’s almost like a novelty to it to some degree that I think students really enjoy and appreciate. So those are a few quick examples.

Rebecca: So we started to talk a little bit about the valued minds model that you developed, but we haven’t really dug in yet. [LAUGHTER] So, can we talk a little bit about the system that you’ve developed and the framework and what that looks like?

Megan: Yeah, absolutely. And you probably noticed I’ve been like holding back a little bit [LAUGHTER] because I’m like, this is in the framework. [LAUGHTER] It’s all in there. [LAUGHTER] Absolutely. So the framework really has three core components to it. So the first is learner agency. The second is system design, and this is where we tend to address a lot of our systemic barriers that occur. And then the last piece is belonging. Now within that, there’s several different layers or different components that should be taken into consideration. So within learner agency, the first thing that we need to do when we’re designing for neurodiverse learners is to start with some foundational components, and that is really about integrating strategies that support the executive functioning skills. So there is plenty of research that exists that indicates that if you have a neurodiverse condition or a neurodivergent condition, a lot of times there will be differences in the executive functions. And so, when we design for those, what we’re doing is sort of leveling the playing field. So, if somebody has a known issue with working memory, and we’re bringing in different types of supports to help balance that out, so that there’s not as much cognitive load being expended on their part. Well, now you’re instantaneously putting them in a place where it’s going to be easier for them to engage in the learning process, rather than for them simply trying to decode or to follow along in the way that you had originally intended them to. And then we bring in this accessibility piece after those foundational components. So making sure that if somebody has some type of a difference, and I think that this is really critical for those more applied conditions such as like dyslexia and dyscalculia. So bringing in those accessibility pieces to make sure that there are screen readers that can communicate that information to them or help support them in the exploration of that content. That’s really the next level or layer. And then when we talk about sort of the custom design, that’s a piece that fits in the top. And this is where I see a lot of people approaching it in the inverse, a lot of people try to start with those custom strategies and work sort of at that level. But if you do the foundational components and the accessibility piece first, you’re setting everyone up for a much better success. So then, when we get to that custom piece, this is really about sort of meeting people where they are and taking a look at who they are and what their skills and abilities are, and very specifically what their strengths are, and so one of the things that we need to be really aware of is the fact that a lot of neurodiverse individuals have received a lot of negative comments and a lot of negative feedback throughout their entire lives. In fact, it’s estimated that by the age of 10, a child who has ADHD – and these are metrics just for ADHD – it’s anticipated that that child has received 20,000 more negative messages than their neurotypical counterparts. So that’s something pretty significant. And so then when we think about the language that we use and the way that we engage with those learners, we need to be helping them recognize what their strengths are, and we need to be speaking in a way, whether it’s person-to-person conversation or even through our text. And a great example that I love to use is when we’re designing our rubrics using strength-based language in our rubrics. So, for example, you’ve probably seen the rubrics that use categories that range from excellent to poor. But what happens when you put the label poor on someone’s work? That’s a label that indicates that they’re lesser than, that they’re not as good, and it’s kind of an endpoint when somebody tells you that your work is poor. So we need to be shifting that to using language that’s more along the lines of expert to novice, because if somebody tells you you’re a novice, your work is at the novice level, what does that immediately make you think of? It makes you think of a trajectory or a journey; that this is a starting point, but that you can grow beyond what you’re currently facing. So, strengths-based language is absolutely a critical component of that. So, those are the three layers of learner agency.

Then we talk about system design, and this is where we get into things such as accommodations, training for faculty, things like the hidden curriculum. And I don’t know how many people necessarily think of hidden curriculum as being something that we need to think about when we’re talking about neurodiversity. It tends to be something that we think about a lot with first-year students, but it’s absolutely a component of neurodiversity, and the reason for that is because a lot of it stems from interpersonal relationships. That’s how you become aware of a lot of those components of hidden curriculum is through your interactions and those relationships. So, making sure that we’re addressing that as part of this process as well, and then we also have other things in there too, such as stigmatization, making sure that we are trying to reduce stigmatization of our neurodiverse learners as much as possible. So that’s all part of that system design component. And the challenging piece with that is that some of this that you can do in your classroom, and some of it occurs at the institution level, so there’s a wide range of approaches that can be integrated within that. And then this last piece is belonging, and where we start with that is with the concept of validation. So making sure that we are bringing in inclusive strategies that, as I mentioned before, not just help the students feel a greater sense of belonging, but can also help them develop those executive functioning skills. And the great example of that is social emotional learning. But there’s other things that we can do too in terms of making students feel validated and supported, such as peer-to-peer confirmation. You’re making sure that you’re enabling students to give each other positive feedback and say, “No, you did really great on that work. I really valued what you did here, and the way that you did it was really great.” So integrating strategies such as that, and then we get to recognition, which is the next piece of the framework. And so, recognition and accessibility kind of parallel one another as those foundational elements, the executive functions, and validation parallel one another. And we talk about recognition. We’re talking about that normalization of the different practices. So as I referenced that strategy before about the audio recordings and just normalizing it, making it feel like diversity is a part of everyday life, and it just belongs here, and it should be recognized and it should be valued. And then the last piece of belonging is this sort of modeling, if you will, of acceptance and what that can look like in the classroom. So we talked about co-designing information previously. So that’s a great example, but also making sure that we’re making students feel like your classroom is a place where it’s okay to have those sort of fast-fail experiences. So nothing’s ever a mistake, nothing’s ever a failure if you’re learning from it, if you’re growing from it. So making sure that we are creating dynamics such as that, and if we do that, making sure that we’re also tapping into things like a student’s motivation, helping them integrate things that are really very important to them, and I think if we integrate all of these pieces together, I think we can create our classrooms to be those more inclusive environments for neurodiverse learners. Because we know that some of the more traditional inclusive practices don’t necessarily apply. And one of the things that I always get sort of stuck on a little bit when it comes to inclusive strategies is that one of integrating research papers or using articles published by authors who have the same types of differences, whether it ends up being a disability or if there’s a different type of ethnicity. But how do you do that when the difference is something that’s invisible? So how do you know whether or not the author of a paper has autism or ADHD or dyslexia or dyscalculia or one of the many other conditions? And so that’s why I think a framework like this is something that’s needed because there’s shifts, there’s nuances that we need to address in order to create these dynamics that are neuroinclusive.

John: Now you mentioned that some inclusive practices don’t work as well for all students. Could you elaborate on that just a little bit in terms of some things that people routinely do that may not work as well for students with various forms of neurodiversity? You gave the example of papers as one case, but could you give us some other examples?

Megan: I think where there’s a lot of confusion is actually… this is another framework that I’ve been researching and working on… but one of the things that I have seen occurring is faculty not necessarily understanding what is inclusive support versus classroom management versus learning support and so on. So I was attending a conference not long ago, and there was two very lovely women who were leading this session, and at one point they pulled up this Padlet and they were like, “What strategies do you think are going to be great instructional strategies for the students in your classroom?” And I saw people just contributing things to the board, and they were like, “Yes, all of these are wonderful.” And I just sat there going, “No, that doesn’t align with this. And hmm hmm…” and I saw a lot of that confusion. So the paper example that we gave just a second ago – that’s typically an inclusive strategy, and that was one of the things that was mentioned in this conversation. And I was like sitting there thinking the same thing that I just communicated to you, like, “Okay, but how do we know? [LAUGHTER] How do we know whether or not this person has a neurodiverse condition?” But yet it was listed in one of those strategies. So a lot of times we’re relying on information that we know from other circumstances, and we’re not necessarily creating those subtle shifts that need to occur. And so another great example is classroom management. So I see this a lot. One of the people in this session listed brain breaks as a great strategy, and the learning designer in me sat there going, “Oh, wait a second. Are we talking about breaks for the sake of taking breaks?” Because we know that there’s no research to back that up, and if we’re talking about breaks for the purposes of taking time to reflect on information, then yes, that does work. But what they were talking about were brain breaks in terms of getting up and moving around the room if you felt like you couldn’t focus on the information that was being shared at that moment, and apart from the fact that there’s research that says that that’s not actually how our brains work, and that’s not the best way to help us develop the ability to stay focused on information for a long time, that also tends to align more so with the classroom management side of things rather than the instruction side of things, so there’s a lot of misunderstandings and a lot of confusion around what strategies actually align with what sort of categories of support, if that makes sense. So yeah, it can be very confusing unless you spend a lot of time researching this, and I think one of the things that made me very concerned at the end of the session was that the two women who were leading this were like, “And we’re going to be writing a book chapter about this,” and so [LAUGHTER] that goes back to kind of the concept of right now neurodiversity is kind of the wild west. There’s a lot of really good advice being put out there, and there’s a lot of advice that we need to evaluate a little bit more deeply. But it’s being put out there and could actually be harmful in some ways, and so we need to have more conversations, deeper conversations around that.

John: And that’s where that co-creation that you talked about before can help to address the needs of the specific students in the room.

Rebecca: Well, one thing that I’m observing or thinking about as you’re introducing the framework is that it has components from a lot of other existing frameworks, and you kind of hinted at this a little bit. Things from universal design for learning, TILT – transparency in learning and teaching, just good learning practices to make sure we stay motivated around agency and things like that that are certainly in UDL or Universal Design for Learning, accessibility practices, relationship-rich practices, but it’s not inclusive of everything in those frameworks. Can you talk a little bit about the process you use to pull what would be most important for neurodiverse students from those existing frameworks, you kind of integrated them all together and put them in one place. Can you just talk a little bit about the process of doing that?

Megan: Yeah, it was a lot of research, [LAUGHTER] a lot of research and reflection and evaluating this. I think the thing is, is that there’s so much amazing work that has already been done around the process of learning. We have all this great research about the brain and how the brain functions and what it needs in terms of learning and how we can best support the learning process for our students, and it was really just about diving in and just trying to understand what the unique needs are for neurodiverse learners, and then pulling the pieces that best supported those needs, and the reality is, there’s no one size fits all. There never is, and so I don’t see this as something that should ever be thought of as trying to replace UDL or trying to replace TILT . That’s not what anything we do in education is ever about. It’s a tool next to several other tools that, when it makes sense for you to pull this in, pull it in. Maybe there’s a faculty member who is tied very strongly to UDL, and they know their students very well, and they know that UDL principles are going to work for them. Then they should use UDL. This is a tool in the toolbox of support, and at the end of the day, there is never one perfect solution for everything, for every learner, for every need. But that’s hopefully one of the things that I would really love for people that when they look at this framework, they see that there is space for those unique needs, and I think that that’s something that maybe is a little more challenging to find in some other models. But when I talk about that custom piece, one of the things that having undiagnosed ADHD my entire life, there were so many times when I felt like I wasn’t measuring up and I wasn’t good enough. And in some circumstances, I had people who were very supportive, and they would say, “Megan, you can do this. You can do this. Just let’s figure this out. I’m going to help you, however you need help, and we’re going to figure it out.” But that was not always the case. I had a lot of other people who saw my differences as shortcomings, and they took that as an opportunity to berate me and to tear me down, and it’s those unique instances where you have somebody that steps forward and says, “I see something amazing in you, and I want to help bring that out. I want to help you shine, because I know that you’re capable of this.” That’s that custom piece of my framework. That is where I think we have the biggest ability to really make students recognize their own strengths, not just as students, but as individuals with something incredible to contribute to the world, we need to be shifting this paradigm from a deficit-based mindset of difference as lesser to a place of different is unique with incredible opportunity behind it. That is the goal of this framework. Sorry, I feel like that was very deep, but you want to know why I do this work. That’s why.

Rebecca: It sounds like the custom layer that you’re talking about is really important for what can really sometimes be competing needs, like very different kinds of needs that, in some ways, like on the surface, can look like they’re directly in competition for one student versus another because this student needs X and this student needs Y. But if you had provided the opposite to the other, [LAUGHTER] it wouldn’t help.

Megan: Absolutely, and I’m so glad that you mentioned that because that’s one of the other things that I’ve noticed. So when I talked earlier about the fragmentation that’s occurring around neurodiversity, that’s a large part of it. So you have people saying these are the 10 strategies that work for individuals with autism, and these are the 15 strategies that work for people with ADHD, and then a large part of the other neurodiverse conditions are just completely overlooked. And so in creating this framework, I wanted to say that’s not the way that we should be going about things. We need to be looking at the common threads across all of these conditions, and that ends up largely being the executive functions, which is why that’s the starting point. But then, how do we look for those common threads, those common building blocks across these different conditions, while at the same time allowing there to be this degree of flexibility, so that we can meet students where they are. A great example of those differences that you just mentioned… So my daughter has ADHD. I have ADHD. We have completely different needs, and yet we share the same genetics. [LAUGHTER] And yet our two conditions are very, very different. She’s brilliant. She is absolutely brilliant. She’s in the gifted program at school, and she’s working at grade levels that are two grade levels higher than where she’s currently enrolled. She’s looking at going into fifth grade, but last year when she was in fourth, they had her working on math problems and reading books that were at the sixth grade reading level and the sixth grade math level. I run away from math. [LAUGHTER] I run away from math as far as I can possibly get, because I just don’t have the working memory to be able to hold the numbers in the right places. But yet she does it, and she does it in her brain. And it’s so fun because my husband’s an engineer, and we’ll be driving in the car, and he’ll just randomly shout out a math problem, and they’ll see who can answer it first. And both of my children already have the answer, and I’m like sitting there with my calculator [LAUGHTER] like hidden down beside me because my brain’s just not structured that way, but hers is. So even when you have a specific condition like ADHD, not all of those strategies are going to work for all of your students with ADHD, so it’s just so complex. It’s so complex, which is why we need to have that flexibility.

Rebecca: I just want answers, Megan. [LAUGHTER]

John: But the answers are different for each student.

Megan: [LAUGHTER] They are. They absolutely are.

Rebecca: It’s really like the underlying subtext always is like “Ah, why is this so complicated?” [LAUGHTER]

Megan: Because humans are complicated. That’s the bottom line: is that we are all unique, and within that uniqueness, there is a beauty, but there’s also complexity, and it gets really hard when you’re trying to be an educator who’s working towards addressing all of that complexity. I don’t know that we give our educators enough credit for how challenging it is to take a single message and ensure that 30, 60, 120, 200, 350 people in the same room all get an accurate understanding of what that message is or what that concept is.

Rebecca: You’re kind of asking for miracles. [LAUGHTER]

Megan: Yeah, it is like asking for a miracle. But that’s also where we, as human beings, that’s where our neuroplasticity or our cognitive functions really come into play because we can have that flexibility of thinking. We can learn new ways of communicating, and once you learn how a specific faculty member communicates things or what their expectations are, you, as a learner, you can be quite successful, but the learning curve to that is not going to be the same for everybody. And so, the more that we can do to address some of those differences, we’re only going to make that process easier on everybody. So, the days of I’m just going to sit down, and I’m gonna create my course and write this lecture, that’s not sustainable, not for the way that we need to be thinking about our students. And a lot of these conditions, the diagnoses are increasing. When I first started, even just a few years ago, and so much has changed. So much has changed. But even just over the past few years, we’ve seen the diagnosis of autism in the general population go from approximately one in 100 down to one in 89, and now the census currently is that I believe it’s children under the age of eight, it’s one in 63 are diagnosed with autism. So it’s going to continue to change and to flux, and the hope is that we also continue to have the compassion and the desire to want to change and flux with it.

John: And I think an important takeaway from what you’ve said is that when we give students encouragement that can make a really big difference, but when we say anything that discourages students, that can also have an extremely large impact. And we have to be really careful in how we phrase things and how we communicate to students, so that we do focus on their capabilities and their possibilities.

Megan: Absolutely, and I think there’s one important thing to keep in mind with that is that it’s not about walking on eggshells. It’s not about “oh, I can’t say this or I’ll upset somebody.” It’s about learning to think about how we communicate differently. It’s learning to think about taking our words from a place where they communicate as though somebody isn’t measuring up, to a place where we are highlighting those strengths and making them see the value in themselves and their future in what they can achieve. And so it’s a subtle shift, but it’s an important one, and one of the reasons why I think it’s so important. I don’t know if either of you have ever heard of rejection-sensitive dysphoria, more commonly known as RSD. It’s a significant condition in which a person really perceives as though the interactions that they have with people, it always has a negative sort of perspective or a negative spin on it. You know, somebody says, “Hey, everybody, we’re going out for coffee,” or “Hey, everybody, we’re going to a party,” and the person sits there and thinks, “Well, of course, they’re inviting everybody else, but they don’t mean to invite me. They must have forgotten that I was here. They didn’t see me or didn’t recognize that I was in the room.” So there’s very much a sense of separation that can occur around that too, and there’s some instances of RSD that are so severe that it actually causes physical pain for the individual. So it really is about shifting our language so that we are raising people up rather than tearing people down, and this is something that I have conversations with my kids all the time. Do you have children?

Rebecca: Yep. [LAUGHTER]

John: Yes.

Rebecca: Earlier, you were describing my car. [LAUGHTER]

Megan: Yeah. So we have these conversations whenever there’s a fight. The kids are in the back. “But he did this to me,” and “but she did that to me,” and it’s “Okay, okay, I hear you. Instead of accusing one another and saying what they did was wrong, how can you change this? How can you rephrase what it is that you’re thinking and feeling in a way right now that communicates what is happening or what you feel is happening, but that you’re not tearing the other person down as a part of that process.” And we do a lot of reflection in our car rides. [LAUGHTER] My kids will say one thing, and I’ll say, “Okay, let’s pause. How could you rephrase that?” [LAUGHTER] Because the rest of the world isn’t going to teach them how to do that. That’s my responsibility as a parent, and so we engage in those conversations a lot to be more aware of the impact of our words on other people.

Rebecca: We talked a little bit earlier about things that we can do in the classroom, but also kind of a more institutional or global approach or systematic approach that needs to happen. And the conversation that we’re having right now makes me think about one of the ways that these things can be modeled is also at like the employee level at an institution, which trickles down also to students. That this kind of a framework can be used in other contexts outside of a classroom setting that enhance the learning environment overall.

Megan: Absolutely, yeah, and I need to do a little bit more research because there are definitely nuances between the classroom versus the work environment. But I think a really quick piece that could be swapped out is take a look at hidden curriculum and replace it with office politics.

Rebecca: It’s all the same. [LAUGHTER]

Megan: To some degree, to some degree.

Rebecca: Yeah, yeah.

Megan: It is. [LAUGHTER] But yeah, and that is the thing that I hope to be able to do with this work is to carry it forward because it’s so interesting when I have these conversations. Practically every single time I’ve had a conversation about this framework, that question has arisen: “Can we use this for the office environment too?” I’m like “Yeah, with some modifications, but yeah, absolutely.” So you have a coworker who continually struggles with deadlines. There’s your executive functioning skills. It can absolutely be applied. I just need to sit down and make some of those modifications and some adjustments with that. So stay tuned. [LAUGHTER] It’s coming. [LAUGHTER]

Rebecca: Seems pretty workable at the moment. [LAUGHTER]

Megan: Thank you, thank you. [LAUGHTER]

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

Megan: What is next? I’m currently working on a co-edited book with the amazing Adam Davi, who’s a good friend from our days working with the Online Learning Consortium, volunteering with them, and this book is titled Advancing Learning Design in the Age of AI. And what we are hoping to capture within this book is the conversation around now that AI is essentially commonplace and everybody has access to it, and we’re seeing more and more people leverage it for designing their courses, what does that relationship look like as a learning designer? Where do we shift? How do we shift? What do we need to be realigning in terms of our workflows and our responsibilities so that we can leverage AI to better support the work that we do, but also helping understand that AI is not a replacement for a learning designer, and it never will be. And if you know and understand anything about simply writing learning objectives, there’s a great example just within that. So I don’t know if you’ve asked any AI system to write learning objectives for you. They are lacking. [LAUGHTER] They do not follow a very traditional learning objective format, and it can take you quite a bit of back and forth to even get that to a point where AI is getting something even close. So there’s a lot of misunderstandings. People are putting information in or asking ChatGPT to come up with, “Oh, give me a course outline” or “write this assessment for me,” and it does it. But is it what you actually intended? Is it what the students actually need? Is there alignment with your instructional goals? Is there alignment with the overall goals of the course at the programmatic level, like there’s so many things that AI can’t fully understand because it just gives you that response to that one prompt. So there’s a lot that AI can’t do. We still need humans in the process. So what does that look like now? So yes, that’s the thing that’s coming down the pipeline. [LAUGHTER]

Rebecca: Sounds like an exciting adventure.

Megan: I think it will be. [LAUGHTER]

John: Thanks for joining us. It’s always great talking to you, and we’re looking forward to hearing more about these future projects.

Megan: Excellent. Thank you so much.

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

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

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456. Improve Critical Thinking

Students with strong critical thinking skills can make better decisions that have real consequences on their quality of life. In this episode, Michael Bishop joins us to discuss an approach to developing these skills that appears to have a persistent effect on students’ ability to avoid common cognitive biases.

Michael is a professor of philosophy at Florida State University. His research interests focus on two areas: rationality (how should we think about important things) and happiness (what is lasting happiness, and how can we get it). He is also a co-author of a recent study investigating the impact of critical thinking classes on common cognitive biases.

Show Notes

Transcript

John: Students with strong critical thinking skills can make better decisions that have real consequences on their quality of life. In this episode, we explore an approach to developing these skills that appears to have a persistent effect on students’ ability to avoid common cognitive biases.

[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 Michael Bishop. He is professor of philosophy at Florida State University. His research interests focus on two areas: rationality (how should we think about important things) and happiness (what is lasting happiness, and how can we get it). He is also a co-author of a recent study investigating the impact of critical thinking classes on common cognitive biases. Welcome, Michael.

Michael: Thank you. Glad to be here.

John: Thank you for joining us. Today’s teas are:… Michael, do you have tea by any chance?

Michael: No, not today. I usually drink tea in my office, and when I do, it’s usually a Chinese black tea.

Rebecca: Always a nice choice. Today I have an English breakfast tea, nothing that exciting,

John: And I just have nothing that exciting either, a Lady Grey today.

Rebecca: We got to step up our game, John. So, Michael, we’ve invited here today to discuss the field experiment that is described in your co-authored paper entitled “Critical Thinking Classes Can Reduce Common Biases: Results from a Field Experiment.” But before we discuss the study, can we start a little bit with the concept of critical thinking? You teach critical thinking. What are you trying to teach? And what makes someone a good critical thinker?

Michael: Yeah, I think that’s a great question. One of my favorite sayings is the philosopher George Santayana said that a fanatic is someone who, having lost sight of their goals, redoubles their efforts. And so, in teaching critical thinking, I think it’s important to start with an idea of what you want to teach. And so there’s a lot of possible answers. Some people think that a good critical thinker is someone who uses certain rational methods or rules like logic or probability for the scientific method. Other people think that a rational thinker would be an expert debater, someone who can detect fallacies and build a coherent case for their views. Other people view good critical thinkers as virtuous thinkers; someone who is careful, open-minded, curious, intellectually honest, intellectually humble. And I actually think these views are either wrong… so I think that good debaters are often poor reasoners… or incomplete. They capture part of good reasoning, but not everything. So basically, what I am trying to teach in my classes is teaching people to ask good questions. Ask what I call fruitful questions, questions that help us get better answers, not killer questions that end debates, but questions that, if you’re trying to answer them, help get us better answers. So when you view that as the goal, how you go about teaching critical thinking becomes much easier.

John: And as you suggested, people have many different descriptions of what critical thinking is. I know whenever we talked about the importance of this in our Gen Ed program, everyone agrees that critical thinking is extremely important, but they all disagree as to what exactly it is. So it’s helpful, I think, to start with that statement. In this experiment, you’re focused on five common biases. Can you describe the biases that were selected for this study and provide some brief examples of those biases for our listeners?

Michael: Sure. The way psychologists think about these is in terms of biases. The way I think about them is in terms of cheat codes. So there are certain cheat codes people use in debating or in arguments, and cheat code arguments are arguments that you can use to defend pretty much any view you want. And so cheat codes are really tools of manipulation, more than tools of trying to figure out what the truth is or what a good decision is. And so when you think about good critical thinkers as thinkers who can ask good questions, the way I think about it is when you detect a cheat code, when you detect somebody using a cheat code on you, you should be able to ask them a question that diffuses the cheat code and points them in better directions. So let me tell you some of these cheat codes. One I call the focalizing cheat code, and it might go something like this: We should go to war because it has certain benefits, so, if an argument like that, or we should not go to war because it has certain costs. If you’re convinced by an argument like that, I think that you’ve fallen for a cheat code, and the best way to see this is to consider an example where where it’s clear that it’s a cheat code. So, suppose I gave you two envelopes, and I said you can look in these envelopes, and you can take all the money that’s in the envelope that you choose, but you can only choose one envelope. Suppose I open one envelope, see that there’s $5 and I take it without looking in the second envelope. In that case, you’d think that I’ve made a mistake, that I haven’t reasoned wisely about this particular decision because I didn’t look in the second envelope. If I say, “Look, the reason I chose the first envelope is that having $5 is better than not having $5.” It’s true that having $5 is better than not having $5, so there is an advantage to choosing envelope one. But when you think about it, what makes a choice a good one isn’t that it makes you better off than you are now. What makes a choice a good one is that it makes you better off than what else you might have done. Now, economists call this opportunity cost, as I suspect you guys know. And so, one thing I’m trying to do is get my students to, when they see someone argue for, “Hey, we should go to war because it’s going to bring us benefits.” I want them to at least stop and be able to ask the question, wait a minute, what are some alternatives to going to war? Because even if it’s true that going to war brings us benefits, and we can argue about that, but even if it’s true, it might not be the best thing to do, in the same way that choosing envelope one, even though it brings us benefits, might not be the smart thing to do. So I call that the focalizing cheat code. Another cheat code that I teach is what you might call the correlation cheat code. So I say, “Hey, a new healthcare plan is passed, and healthcare costs have gone up 7% a year since this plan is passed. Boy, this plan really stinks. It’s caused our healthcare costs to go up a lot.” This again, the question isn’t is the conclusion right in the war case or in this case, the question is: Is this a cheat code argument? And it is. And the reason is, what you don’t know, and what you really need to know, is how high would have costs been had this healthcare plan not been in place. So again, I say this healthcare plan is great or it’s bad, and I point to something that happened afterwards that. That’s what I call the correlation cheat code because you’re taking this correlation and you’re taking it as evidence for thinking that this policy has caused this particular result. And so again, what I want people to do is just stop and ask the question: “Well, wait a minute. Maybe without the health care plan, costs would have gone up even more, or maybe they would have gone up just the same, or maybe they’d have gone up less.” But unless you ask the question, it’s easy to get manipulated into accepting views that aren’t true. Another cheat code is the regression cheat code. This is a very common one. So lots of coaches and parents think that punishment is effective at molding behavior. I know that when I played sports as a youth, my coaches thought that after a poor performance, if you punish the players by making them work really hard in practice, they’ll do better next time. And sure enough, after a poor performance and after we were punished, we did tend to perform better. But again, the question is: “Did the punishment do that, or was it just a return to our normal level of performance?” So that’s the regression cheat code, rather than just saying, “Hey, maybe you’re returning to your normal level of performance,” saying that “it’s the result of a punishment or the result of a reward.” The third one is sunk cost cheat code, another one that’s a favorite of economists, defending a decision because of the resources already spent on it, so let’s stick with this policy or this war because of sunk costs. Those sunk costs are gone; they’re gone no matter what you do. So you might as well do what’s best for your future. And the last one that we looked at was the gambler’s fallacy, and that is basically treating statistically independent events, as if they were statistically dependent. So, if a coin comes up five times heads, and it’s really a fair coin, thinking that it’s more likely to come up tails next time. So, those were the five cheat codes we looked at.

Rebecca: I think the soundtrack that we have going on with the thunder is really emphasizing that these are cheat codes. [LAUGHTER]

Michael: Indeed, indeed. [LAUGHTER]

Rebecca: It’s very ominous. [LAUGHTER] Can you talk a little bit about how you chose these particular cheat codes?

Michael: Sure. So this goes back to my view about good reasoning. So 20 years ago or so, me and a friend defended a theory of what rational reasoning was, and what we said was that the good reasoning is reasoning that’s cheap, it’s accurate, and it’s focused on significant problems. And so the way I chose these cheat codes is because I thought that they were significant. That is, people use them to manipulate you when it comes to really important issues. So I see these cheat codes a lot out there being used in the world for really important issues. And the cheap part came in because I think that in thinking about how to teach critical thinking, I think one thing you want to do as a critical thinker is to diagnose the problem. Why are my students thinking badly when they do think badly? And I think there’s three general answers that people tend to think about, although often this doesn’t get talked about enough. So one reason students might be thinking badly is that they don’t know these rules, so it might be an ignorance problem. And if it’s an ignorance problem, then it’s going to be really hard to teach them to use these rules in a way that they keep using the rules after they leave the class. Because not only do they have to learn the rules and learn to apply the rules, but when they leave your class, they need to stop thinking in their old ways and use these rules, which tend to be hard to remember, hard to apply in the real world. And so, one reason that I think studies have not been successful or have had limited success in teaching people to reason well in a way that sticks once they leave the classroom, is that too often we teach critical thinking as if the problem is an ignorance problem. So we need to teach our students new rules. So one reason I chose these rules is that I speculated that they already knew these rules and they sometimes applied them correctly. And if that’s right, if they sometimes apply these rules correctly, then I don’t need to teach them a new rule, and I don’t need to teach them how to apply the rule. They’re already doing that. All I need to do is get them to see that it’s the right rule, and then ask them, “Hey, why aren’t you using it in these cases over here, where it seems like you should still be using the rules.” So, for example, think about the two envelope problem that I talked about before. None of my students think, “Oh, yeah, choose the $5, that’s the way to go. None of them think that. They know perfectly well that the way you evaluate that choice is not in terms of “Hey I’m $5 better off than I am now,” it’s “Hey if there’s $1,000 in the other envelope, then I’m 995 dollars worse off than if I’d have chosen envelope number two.” They all see that, so I don’t have to teach them any new rules. All I have to do is when I say “Hey let’s go to war, it has this advantage,” and if they say, “Yeah, that sounds good,” I can say, “Wait a minute. How is this different from the two envelope problem?” So the main reason I chose these, and these aren’t the only rules I teach in my critical thinking class, but the main reason I choose the rules that I do is that I think that my students already know these rules and at least sometimes apply them, and so when I introduce them to these rules in cases to which they are inclined to apply them, they give me what I call the old bovine stare. They look at me like, “Well, that’s obvious. You’re not teaching me anything I didn’t already know.” And that’s what I want. I want them when I introduce these rules to say, “I already knew that. Why are you teaching me something so obvious?” Because then the next class period, or a week from now, or a month from now, when I introduce an argument where they ought to be using this rule that they said was so obvious and they’re not, I don’t have to say, “Hey, you guys have made a mistake.” I can just ask them, “Okay, wait a minute, you said this rule was obvious, why aren’t you applying it here? Either you were wrong on day one about that rule being the right rule, or you’re wrong right now in not applying that rule.” And so there’s a real sense in which the reason I chose these rules is because I think I’m really not teaching my students anything new. So here’s one way to think about it: rather than teaching them like calculus, like a chain rule, like a new formula that they don’t know, what I’m really trying to do is get them to recognize cardinals. They already know what a cardinal looks like, so I’m just trying to get them to recognize cardinals, and so that’s why I think that the way I teach critical thinking tends to work and is way easier than starting off with the assumption that “Hey, my students don’t know anything, and I need to teach them a whole bunch of new rules.” So that’s why I chose these rules, and that’s why I choose the rules that I use in my critical thinking class.

John: And these are rules that, when you think about them as you framed it, they’re pretty obvious. But in practice, they’re rules that people violate all of the time in their decision making. What really impressed me about the study was that you did get some [LAUGHTER] results out of this because so many studies of behavior modification have been found to be ineffective beyond a very short period of time, often not lasting through the end of the class.

Michael: That’s absolutely right. In fact, one of my old professors, he said this about logic classes, but I think it unfortunately is often true of critical thinking classes, but he said that logic classes teach you to do one and only one thing, and that’s take logic tests. And I sometimes worry that that’s the case with a lot of our attempts to teach people to think better, is that what we’re really doing is teaching them to take tests because they will use the rules on the test. But if you want them to think about this afterwards, I really do think that the main thing is to get them to commit to the rule, and then get them to recognize, “Hey, wait a minute,” to be sensitive to when they see it in the real world because it’s all over the place. Once you get sensitive to it, you start seeing it everywhere. And indeed, one danger of my class, of my critical thinking class that I talk to my students is what I call “the turd in the punch bowl problem,” and that is being a good critical thinker isn’t necessarily going to make you popular, and so you need to be careful about when you point out to people that their arguments aren’t very good, because if you do it too much, you will end up being like the turd in the punch bowl at a party. People will look at you and say, “Oh, I’m going to stay away from that person.” And so, at the end of the semester, I will ask them, “Have you had any turd in the punch bowl experiences as a result of this class? And at the end of the semester, a lot of the students – and I don’t know if this is good or bad – but about half of the cases involve the sunk cost principle, and usually it involves the destruction of a relationship. So people will end a relationship because the only reason they’ve been sticking with the relationship is all the pain and effort and heartache they’ve put into the relationship.

John: And I know behavioral economists have noted that quite a bit. That once they really get this message through, it leads to a breakup of so many relationships of their students. But even people who know these things sometimes fall into these traps. And one example I think I mentioned on the podcast before, and I know I’ve mentioned it to Rebecca, is one time I was at a conference with a few other people, and we went over to Universal park, and it was just really hot that day, it was like 97 degrees, and we had spent quite a bit for the tickets for the day, and we were just kind of miserable. And one of the other people said we should just go. And my response to a historian was that we spent $230 and we’ve gone on two rides. We really should stay and get our money’s worth. And her response was, “But that’s a sunk cost. It shouldn’t matter,” and it’s easy for us to fall into that.

Michael: Absolutely, and indeed, this is one of the reasons I choose the rules that I do, is that I think many of them are significant. They really can make a difference to the quality of your decisions and the quality of your judgments.

Rebecca: Can you talk a little bit about the two-stage training program that was used in class?

Michael: Sure. So I gave you a little bit of an example of it already, but let me give you an example with another case with the correlation cheat code. So my go-to example here is I’ll tell the students, “Well, you know, yesterday I ate chocolate and today I broke out with zits. Boy, that means that eating chocolate causes zits,” and they immediately say, “No, that’s terrible.” So the first stage, what I’m doing is I’m introducing examples where they are disposed to use the rule. So nobody says, “Yeah, that’s great evidence for thinking that eating chocolate causes zits.” And then we talk a little bit about, “Okay, well, what would count as good evidence?” And they come up pretty quickly with maybe just a little bit of help, “Well, you want to know what happens when you eat chocolate and when you don’t eat chocolate, because what you really want to know is what difference does eating chocolate make to your complexion, and so what you want to know is what happens when you eat chocolate and you don’t eat chocolate, and everything else relevant to your complexion is the same, and what difference is there in these two cases,” and so that’s the first stage. The first stage is just introducing them to these rules, these cheat codes. So I give them the cheat code, but really a cheat code which they detect right away as a cheat code, and that they know as a cheat code. And then I spend the rest of the semester giving them arguments that use that cheat code, but are not as easy to detect. And often these are political arguments, and one reason I don’t get into trouble – at least I haven’t so far – in giving political arguments is that these cheat codes you can use them to defend views on the left, on the right, in the middle. They’re tools of manipulation. It doesn’t matter what the truth is. You can use these cheat codes to defend the true view, the false view, smart decisions, dumb decisions. And so, what I’m really interested in doing is getting them to be able to detect these cheat codes. So a first step is just introduce them to these cheat codes in a way that they will be disposed to accept and think is obvious. And then after that, I’ll give them lots of examples in which they’re, at least many of them, are not disposed to think is obvious. And then rather than me sort of coming from on high and saying, “Well, you know, you made a mistake there, dummy.” I just step back and I say, “Wait a minute. We seem to have an inconsistency here. You insisted that this rule was right on Monday, and on Friday you’re not using the rule in this case. What’s going on?” And I have yet to have a student, and I’ve taught 1000s of students, I’ve yet to have a student say, “Okay, I’m going to rethink that rule.” They all say, “Oh, well, I made a mistake here. I reasoned badly,” and by the end of the semester, they’re not reasoning badly.

Rebecca: Sounds like you spend a very small amount of time on stage one and significant time on stage two. Do you do all of the cheat codes at the beginning of the semester and then work on utilizing them throughout the semester, or do you kind of do units on different cheat codes? How do you organize?

Michael: So I will introduce a cheat code and then I’ll give them examples using that cheat code and all the cheat codes we’ve covered. So once a cheat code is introduced, they might see it at any point in the future, and I think it’s really important they keep practicing it and keep being able to recognize it, and not just think, “Hey, I know this is the cheat code we’re working on today, so I just need to be on the lookout for that one.” Another thing I do, and I think this is really important, is I will sometimes give them arguments that are promising, that if you grant the truth of the premises, they at least give you some reason to accept the conclusion. Because I don’t want the students just to be skeptical of all arguments. I want them to be able to distinguish between “Okay, that’s a cheat code. That’s definitely a bad argument. The conclusion might be true, the conclusion might be false, but that’s not a good reason to accept anything” and then “Okay, well, what would count as good evidence for thinking that this is a smart decision or that this policy has led to increased costs or decreased costs?” And I want them to be able to say, “Okay, look, that argument right there, that’s pretty promising. This argument over here definitely uses a cheat code.”

John: So you start off with a little bit of retrieval practice with some applications of the same concept, and then you move into some interleaved practice, which raises the cognitive difficulty just a little bit. But it’s one of those desirable difficulties where the more cognitive effort that students have to place in identifying what is at issue, the more deeply they tend to learn it, and the more likely it is that those concepts will stick and also transfer into other applications, which is what you’re building to in this program.

Michael: Absolutely, absolutely, the interleaved practice is really important, and I wouldn’t go back to sort of the blocking practice.

Rebecca: So we’ve talked a little bit about what the intervention is. Can you talk a little bit about how the study was conducted, like the size of the treatment group, the control group, etc.

Michael: Sure. So in the paper, we really describe just the second study we did, we actually did two studies, and in both studies we had almost 400 students. In the first study we had 395 students, and the second study we had 397 students. And some of the students were taking a critical thinking class from me, and the rest of the students were taking other philosophy classes. So in the study that we report on, we had 113 critical thinking students and 284 control students. Then what we did is, in the first week of class, we gave everyone a pretest, and this involved the five cheat codes, and then two good arguments, or at least promising arguments. They weren’t necessarily great, but they didn’t use any cheat codes. And the reason we included these, what we called skepticism checks, was just to check if all we were doing was creating skeptical students rather than students who could distinguish between promising arguments and cheat code arguments. Then, at the end of the semester, we gave them the same survey, same seven questions, and not surprisingly, in both of the studies, the training group students did much better than the control students. In the first study, we waited three months. So basically, the way to think about it is that these classes all happened in the fall. We waited till the end of the spring semester. It might have been four months, and gave them same questions again in the first study. We gave them the same questions again. The trained students did much better, and then we gave them different questions, and they still did much better. So in the second study we did, which is really the only study that we report on in the article, we gave them pre-test at the beginning of the semester, post-test. Then we waited a full academic year plus the spring, so we waited 16 months and only asked them different questions. So the pretest and posttest were the same questions, and again my students did much much better. But then we waited 16 months and asked them seven different questions, and the trained students were still doing much better, detecting the cheat codes and recognizing that the good arguments were still pretty good arguments.

John: DId the trained students do significantly better with all 5 of these cheat codes?

Michael: No, they did better on 4 of the 5 cheat codes. They did better on the correlation, regression, sunk cost, and opportunity cost cheat codes, but in all the studies that we did, on all the surveys that we asked, we just couldn’t get the trained students to do better on the gambler’s fallacy questions.

John: But still, having students do better on 4 out of those 5 cheat codes so long after the initial intervention is a really impressive result. One of the things you talk about near the end of the paper, though, is that you note that there are some possible sample selection issues. Could you just talk a little bit about what source of sample selection might have affected the magnitude of those results?

Michael: So one worry that one might have is that the students were not distributed randomly. So the students chose to take the critical thinking class, the students chose to take other philosophy classes, and so there might be something about the students who chose critical thinking classes that would incline them to be better critical thinkers, despite the fact that on the pre-tests, all the students in both groups did equally badly. So that’s one worry one might have, and the thing to do there is, although it’s not really easy given the institutions of academia, is to randomly distribute students into critical thinking classes and other classes. So that’s the main selection worry. Another reason why we might have gotten good results is that I had those students for 15 weeks. Some interventions talk about full- semester interventions, but often they’re fairly short interventions. I was able to have the students for 15 weeks and made them practice a lot.

Rebecca: It sounds like in the design of the experiment in your class, just generally, there’s lots of opportunities for feedback and correction throughout the semester.

Michael: Yes, absolutely. There’s a lot of feedback, a lot of correction, and I have a big bank of good and bad arguments that I can give them over the course of the semester that use these cheat codes or that don’t use the cheat codes. And one of the things I do for an essay in this class is ask the students to put themselves in the shoes of someone who’s trying to come up with a cheat code argument and ask them to give me bad arguments that use these cheat codes, and they actually turn out to be pretty good at it. And many of the examples that I use on later students are examples that prior students have come up with.

Rebecca: Sounds like it makes it a little bit fun too.

Michael: Yes, I do ask them for any humorous examples or examples that us boomers would have a hard time understanding. [LAUGHTER]

John: One of the things we appreciated about this study is that the data, the results, and the analyses that were done are all reported in more detail on the Open Science Framework website. We’ll include a link to that website in the show notes for this episode.

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

Michael: A few things are next. One is I’m writing a textbook that uses the materials that I teach. The way I teach critical thinking is different from the way other people teach it. I haven’t found a good textbook that teaches critical thinking the way I like to teach it. So I’m currently writing a textbook that hopefully will help other people get good results. I’m also planning to build, if I can, a game that anybody can play to see whether they can avoid being bamboozled [LAUGHTER] by cheat code arguments, this is sort of a longer term project because writing a book is going to be useful, hopefully, for people to teach this. But what’s really important, in my view, what makes this stick is practicing on lots of examples. And so, in a game where people see an argument and you say, “Well, is this promising argument, or is somebody trying to manipulate you?” we’ll hopefully give people practice at being able to detect those cheat code arguments. So those are two of the projects that I’m working on.

John: On the latter project, will it be a board game? Will it be an electronic game? Will it be an online game, or is that something that’ll be decided further in the future?

Michael: No, it’ll be an online game. Is what I’m hoping to do. I want to do something that can be used not just by my students and that’s easily accessible.

Rebecca: Sounds like some great projects. Thanks for joining us today.

Michael: Oh, you’re welcome. It’s been a pleasure.

John: Thank you. I was really impressed by this study [LAUGHTER] because, as I mentioned before, it’s so rare to see effects that are so significant and persistent. It’s, I think, something that people can learn from in terms of other types of issues where it’s hard to convey this sort of long-term impact on students.

Michael: Well, thank you so much.

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

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

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454. Designing Impactful College Courses

Student motivation is enhanced when the framework of self-determination theory is used to design courses that support student autonomy. In this episode, Daniel Guberman and Chantal Levesque-Bristol join us to discuss a new resource designed to assist in the development of such courses.

Daniel and Chantal have leadership roles at the Center for Instructional Excellence at Purdue University. Chantal is the Executive Director and Daniel is the Assistant Director for Student-Centered Pedagogy.  They are the authors, with Emily Bonem, of Designing Impactful College Courses: Applying Self-Determination Theory to Unleash the Potential of Autonomy Supportive Learning Environments, which was recently released by Routledge.

Show Notes

  • Bonem, E. M., Guberman, D., & Levesque-Bristol, C. (2026). Designing Impactful College Courses: Applying Self-Determination Theory to Unleash the Potential of Autonomy-Supportive Learning Environments. Taylor & Francis.
  • Kuh, G. D., & Levesque-Bristol, C. (2023). Student-centered pedagogy and course transformation at scale: Facilitating faculty agency to IMPACT institutional change. Routledge.
  • Purdue University’s Instruction Matters: Purdue Academic Course Transformation (IMPACT) program
  • Lang, J. M. (2021). Small teaching: Everyday lessons from the science of learning. John Wiley & Sons.
  • The Grading Conference
  • Mentzer, N., Asad, A. M., Koehler, A. A., Mohandas, L., & Mammadova, E. (2025). Engaging Learners Everywhere: The Interactive Synchronous HyFlex Method. Purdue University Press.
  • Student Pedagogy Advocate Program at Purdue
  • Center for Self-Determination Theory

Transcript

John: Student motivation is enhanced when the framework of self-determination theory is used to design courses that support student autonomy. In this episode, we discuss a new resource designed to assist in the development of such courses.

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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 Daniel Guberman and Chantal Levesque-Bristol. Daniel and Chantal have leadership roles at the Center for Instructional Excellence at Purdue University. Chantal is the Executive Director and Daniel is the Assistant Director for Student-Centered Pedagogy. They are the authors, with Emily Bonem, of Designing Impactful College Courses: Applying Self-Determination Theory to Unleash the Potential of Autonomy Supportive Learning Environments, which was recently released by Routledge. Welcome, Daniel and Chantelle.

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

Chantal: Thank you. Thank you so much.

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

Daniel: Yes, I have a Bengal spice tea, which is basically like chai without the caffeine, as I understand it.

Rebecca: That sounds nice. How about you, Chantal?

Chantal: Yeah, I just made some tea. I have some green tea with some notes of apple spices and oranges.

Rebecca: That sounds nice.

John: Very nice.

Rebecca: How about you, John?

John: And the Bengal spice, I think, is the first time we had that on this podcast.

Rebecca: I think yeah, it might be a first time. It’s special. [LAUGHTER]

John: And I have an English breakfast tea today.

Rebecca: Okay, and I think I have a Scottish breakfast that’s mixed at this point. I think with an English afternoon, it’s all mixed together. [LAUGHTER]

John: Well, as we approach late morning, it sounds like a good brunch time. So, we’ve invited you here today to discuss Designing Impactful College Courses. Can you tell us a bit about how this book project got started?

Chantal: Yeah, so really I’m going to go back to a first book that I wrote on the Impact program, was published in 2021 by Stylus, which is now Routledge as well, that was really talking more about the structure of the Impact program and a lot more for faculty developers, and this book is sort of the sequel to that, but really looking a lot more about how you would design specifically a course, and this one is a lot more for faculty themselves or instructors, people that are actually teaching that are really interested in understanding how to use the principles of self-determination theory to design courses that are autonomy supportive and self-determined.

Daniel: And maybe I’ll add a little bit about the Impact program, for those who don’t know, which is Purdue’s course design program, which has been going on for over 15 years now. I’m a few weeks away from my 10-year anniversary at Purdue, and Chantal is a few years longer than that. It predates both of us, and it’s a semester-long course design program based on a faculty learning community, and it’s done in coordination with our teaching center, libraries, and teaching technologies. So, we get groups of faculty, we break into groups of three to five, and they each work with members of those three teams, and it varies every year on what our capacity for support is, but we’ve worked with over 600 faculty across this time, and so we’ve had semesters where over 90% of students at Purdue are taking a course that went through this program, so it’s been a really impactful program, pardon the pun. It’s a good name to just like constantly have puns, although unfortunately, whenever I write the word impact out, I write it in all caps, so that I need to go back and edit all my documents. So it’s been this really long and successful program, and we presented on it, and we recognize that a lot of faculty, instructors, graduate students don’t have access to this type of program, and even instructors at Purdue, for various reasons, can’t commit a whole semester; their schedule doesn’t work. So, we’re really excited to bring a lot of these lessons and ideas to a broader audience.

Rebecca: It’s incredible to have such an impactful program, certainly reach so many people, and to build on that in your book. One of the things that we observed as we were just even skimming the table of contents is that the organization seems to have something in common with a philosophy or a strategy that instructional designers often recommend, which is backwards design. Can you talk a little bit about the organization of the book, what it does have in common with that strategy?

Daniel: So, backwards design was at the core of the book, and the program, that program followed a backwards-design structure even before Chantal arrived and brought self-determination theory, and we’ve kept that. Probably the biggest change is that we brought this theory as the foundation, which in a lot of backwards design work does not have a sort of core theory that is structured to follow throughout everything that you’re doing. So we start with the theory, and then following traditional backwards design, for those who don’t know, we talk about the outcomes and objectives of a course, then the assessment, which we frame around grading specifically, because we found a lot of traditional course design approaches talk about assessment, but don’t tie it to grades, and then at the end they just sort of throw some numbers on all of it, and it feels like that can undermine the connection between the assessment process and what students are experiencing. And then we go to assessment types, which we have chapters on a variety of different assessment types, and also activities and core structures that are basically from a backwards-design perspective, going from what will students know or achieve by the end of the class, how will you know, which is the assessment part, and then how will you get students to the point where they can demonstrate that effectively. So that’s sort of our broad picture overview of the book, and we think it makes a lot of sense for someone who’s designing a course, which isn’t to say we view it as a linear progression, but rather we’ve tried to structure it in a way that you can skip around and you can go back, so you might get to thinking about, “Oh, I really want to bring experiential learning into my class, and that means a group project, which means I need to go back to assessment, “so we don’t think of backwards design as a linear process, but more sort of like a spiral that you move through.

John: And it may nudge people to think about it, because faculty don’t always think about course design using a backwards-design perspective. In fact, it’s often the opposite, but in addition to having this backwards- b design structure through the book, after going over the basic theory, you also have a consistent structure for each of the chapters. Can you describe this structure and talk a little bit about why you chose this particular organization?

Daniel: So each chapter we start with a vignette that comes from a student perspective, because it was really important to us to think about how students are really a central part of the learning environment, and they’re often omitted from the course- design process, and this has been something we’ve been doing throughout Impact for a number of years, is better integrating students into that process. The vignettes are based on true stories from students, but adapted a little, actually, a lot of the students, they came up with overly positive stories all the time [LAUGHTER], we’re like, “Tell us some of the negative ones too.” So then, after the vignette, we have an intro to what the topic is. So some people might not be familiar with what we mean by the experiential learning, or even when we say, like, this is a chapter on lecturing, like, what does it mean to write a chapter on lecturing or class discussion, then we get into the basic needs, and we talk about how the basic needs can be met or hindered in each of these contexts. Then we always follow the same order from competence, autonomy, and relatedness. So I’m sure I’ll talk more about what those mean in a bit. And then after that, we go into case studies. So one of the really fun parts about writing this book, is we got to go back to some of these 600 faculty members who have worked with this program, and we interviewed them and had really meaningful discussions to understand the ways that they’ve actually applied it, because as anyone who’s worked in a course- design program will know, there’s a lot of work that gets done in the design process, and then students come into the picture, and things change, and that’s important. We don’t want someone to design a course, and then students arrive, and they’re like, “Well, you are not viewing the course in the way I do.” So, we want courses to adapt. So, it was really cool to hear about how these courses adapted, and how approaching course design through a self-determination theory lens helped them make those adaptations. After the case studies, we have a series of guiding questions to help someone get started, and we have our short reflections about each of those, inspired by James Lang’s Small Teaching, which I feel like everyone knows by this point. We have a section called Starting Small, which are designed to be small things you can do, because while it’s a course design book, we realize not everyone is going to approach it thinking I’m going to redesign my entire course from the ground up, and again we have some sort of reflections and ideas about what that might look like, and then we just end with some short takeaway bullet points.

Rebecca: You’ve hinted at this already a little bit, but can you talk a bit about who your intended audience is for this book.

Chantal: This one is really for anyone who’s teaching a college course, or anyone who’s even interested in teaching. So we could be thinking about graduate students, for example, that may be asked to teach a part of a course or an entire course with little preparation. This book would really help them understand how it is that they can really approach teaching from a really a deep perspective in really understanding students, which I think is very important, as Dan mentioned, that we start with a vignette, which brings in the student voice first and foremost to really think about them as part of the learning and teaching endeavor. So also it could be for someone who is working at an institution where they don’t have their own faculty development program, or it could be for some faculty developers that do not have a very established structure at their institution. How can they talk about teaching and learning in a different way to their administration for example, and also I would say anyone who’s interested in self-determination theory and the teaching and learning principles of self-determination theory and autonomy-supportive environments, and how would that look like in a course-design environment?

John: So, you mentioned self-determination theory, and we talked about this a little bit on earlier podcasts, but it’s been a while, and many of our listeners may not have caught that, so could you talk a bit about what self-determination theory is? Because it does serve as an organizing framework throughout this book.

Chantal: It does stop me if I start talking about it too long. That’s definitely my passion. I say this is how I’ve been raised in terms of an academic, so my research area is also in motivation, and this is as Dan mentioned. When I came to Purdue University in really the impact program was just starting, it was really something that I brought in terms of thinking about how we design courses. So to summarize really quickly, the core principle of self-determination theory is the existence of three basic psychological needs, right, that all humans have. So, it’s a humanistic theory of motivation, and it’s about competence, autonomy, and relatedness, which is how we structured the book. And they’re really baked into every chapter. And competence is something that we understand very easily in higher education. It’s this idea of developing your skills, mastering, becoming proficient, but often we focus very much on competence to the exclusion of the other two needs, and they’re also very, very important. And when we talk about autonomy, which is probably one that is a little bit harder to understand, autonomy does not mean independence or doing whatever you want to do, right? That’s not what it is. It’s not about that independence, it’s about choice and volition, and really empowerment, and really feel like you are sort of the agent of your own development, and that applies for students and for instructors as well. And then relatedness, which is very important, which is the sense of connection with other human beings, with the instructor, with other students, it’s very relational, but also we think of it as relationship with the content that we’re covering as well, which also is highlighted in many of the chapters, and when we are creating environments where the satisfaction of the needs is met, where those basic needs are satisfied, then we see a progression toward more self-determined types of motivation, so from extrinsic type of motivation to more self-determined or intrinsic type of motivation, and this is really one of the very important contributions of self-determination theory, is to think about extrinsic motivation in four broad categories of extrinsic motivation. So, you may be familiar with extrinsic motivation as doing something for the rewards or to avoid the punishment, which is only one type of extrinsic motivation. So, extrinsic motivations are about means to an end, you’re doing something to achieve an outcome, but there’s different levels, so after external regulation, which is really doing something to attain a reward or to avoid punishment. So the typical understanding of grades would really fit within that type of extrinsic motivation. You’re trying to get an A because that’s how you get the rewards, and you go to class because you want to avoid losing points, that’s really the type of extrinsic motivation that we’re talking about in external regulation. We move towards still something that is not self-determined, but we think about introjection, which would be doing something because you feel guilt or shame, so you’re trying to avoid feeling those sorts of feelings, so it’s more internalized, but it’s still not self-determined, right? It’s an internal pressure, it’s perceived as an internal pressure. And then the next two types of extrinsic motivation are more self-determined. Identification, for us, and we talk a lot about this in the book, is sort of the sweet spot for us in academic endeavor. It’s really when you start to understand the value of your behavior and how it makes sense, how it’s meaningful, how it’s important to you, so that’s really how identification is formulated. And although you’re trying to do a behavior or you’re trying to still achieve an outcome, the outcome is perceived to be important and valuable, and then the last form is integration, which is about an alignment with the self, so it’s something that is so in line with yourself that you’re doing it because it’s part of who you are. So, I think this is important to keep in mind in terms of the different types of extrinsic motivation. I’ll stop here, see if Dan has anything to add.

Daniel: And what I’ll share is my background. Emily and Chantal are both psychologists by training. My background is as a music historian, so very different. But when I came to Purdue and was introduced to this theory, I just found it really compelling. So, I think this is what we’re hoping readers from a variety of disciplines will find, is that they read about the theory, they hear about the theory in places like this, and they find that same connection when you think about, “oh yeah, I can see examples of myself in each of these types of extrinsic motivation, and I can see how in environments where my basic needs are met, I feel more internally motivated to do something.” If you start to think about it, you really start to feel that, like,”oh, this resonates, it works, it’s not this abstract theory that, like, we hope will apply in our class, that we can feel it throughout our everyday lives,” and then it’s a matter of how can we apply this meaningfully in our classes as well.

Rebecca: I think many faculty experience moments in their classes where maybe particular material or concepts are not overly exciting or interesting, but maybe very foundational, or maybe students are in a general education class and it’s hard to get motivated around that. What are some strategies for helping students develop motivation to develop their knowledge and skills in these areas that maybe we deem as important, but maybe initially they don’t.

Daniel: Yeah, I think that’s such a great question that gets at the core of the book, and one thing that I think is really important, and one of the key misunderstandings or like the threshold concepts, if I may, when it comes to self-determination theory is the recognition that when we talk about these basic needs for autonomy, confidence, and relatedness, it’s about the individual’s perception of those needs for themselves. I think a lot of people come and we do an introduction the first week about, like, what are the basic needs, and they’re like, “Oh, that’s great, I’m giving my students choice, so I do unessays, so I give them choice that they can choose what format their project is going to be, and therefore I’m meeting their need for autonomy,” but and I’ve experienced this myself, is that that doesn’t necessarily work for all of my students, that some students will see, like, “oh, I can do anything,” and they’re like, “well, that’s scary, I don’t know, I guess I’ll just write a paper, and it’s not because I really want to write a paper, it’s because that’s the thing I’m used to doing, and I know that’s a safe thing to do.” So that student has not perceived that they’ve had autonomy in this assignment, even though I’ve told them, like, “oh, you can do a poem, you can make a video, you can bake a cake,” but at the same time they haven’t seen paths for them to do that, and I haven’t necessarily provided… at least when I started doing this, I really did not provide guidance to make a meaningful choice, and that’s the key when we think about autonomy, is how do I create a structure where a student is going to see this choice in my class and feel like that choice is meaningful to them, so when I give them the unessay and say you can write a poem, I need to then say, like, well, what does it look like to write a poem for this, and what resources, because I am not someone who could help them write a poem, but what resources are available on campus if this is something they want to explore that can help them do that in a meaningful way, and then I can also provide the feedback that I’m capable of providing, in thinking about how to tie the content of the class with the poem, and really help them then also feel that sense of confidence that all these needs get intertwined all the time, because that’s also then about the relationship I’m able to have with students to help them see that, like, oh, when I give you a choice, I mean it, and I’m also here to help you make a meaningful decision for you. So, I think the key is always to try to think about the students’ perception and experience. When we start doing that, we start to help overcome these motivational boundaries. And I say this, coming from a background in music history, where even when I taught music majors, a lot of my colleagues on the performance side of that school would, like, tell them, “Well, the music history and theory classes aren’t that important, you should spend your time practicing.” So at that time, I felt like it was always the struggle of, like, I need to motivate students for this class in their major, and I didn’t know about self-determination theory at the time, but now, like, oh, I missed all these opportunities to help them really understand why these things were important, and to connect with them in doing so.

Chantal: Yeah, and I want to add that it’s really important to think, like, it’s not a recipe, it’s not a recipe book. You’re not going to find in this book that, like, this is exactly how you need to do it, and here’s step one, two, and three, and that’s why the student voice is very important, that student perspective and the perception, as Dan mentioned, because it takes getting to know your students to really understand what meeting the basic psychological needs is going to mean in your context, and also what you’re able and willing to do as an instructor, so you could implement a technique that would be very effective at meeting the basic psychological needs, but if you do it poorly, you’re going to have the opposite effects. So, if team-based learning is not your thing, and you don’t think you can implement it well, that is not why it works, if that makes sense. It’s really important to understand that it’s not the what that is as important as the how you implement that pedagogical strategy.

John: One of the things you note in this book is that grading is one of the things that faculty tend to really not enjoy particularly much, and it’s also something which can be somewhat demotivating for students. What suggestions do you have on trying to shift the focus on grading, so that it can be a bit more motivating, and perhaps not quite as unpleasant for faculty too.

Chantal: That is so Dan’s question. [LAUGHTER]

Daniel: Yeah, [LAUGHTER] and I’ll say, as we’re recording this, just before the Grading Conference begins this summer, and I’m a co-organizer of the Grading Conference. If you’re familiar with the Grading Conference, you might understand where my perspective on grades is coming from, but with that said, I don’t think that means we need to, like, do away with all grades, which is some answers, but I think the key is getting away from the view of grades as a mechanism to control students’ behavior, because ultimately, what self-determination theory is, in contrast to more traditional theories of motivation, and self-determination theory is like 50 years old now, so I guess it’s also traditional, but theories before that were really about mechanisms of control. I’ve just got a new dog a few weeks ago, so like how you train the dog is like, dog does good thing, I give treats, dog does bad thing, I don’t give treats, [LAUGHTER] and I think a lot of early motivational theories were rooted in that, of like, “oh, student does good thing, I give grade, student does bad thing, they lose points towards grade,” and that still happens all over our campuses. So, I said, my background is in music, so, like, one of the things we do in music departments is we want students to go to our concert, so what do we do? We give them extra credit for going to a concert, and what we don’t do in doing that is explain to them the value of going to that concert and give them opportunities to engage with that concert in ways that they might not otherwise, and that connect that concert to the experience of what they’re learning in our class, and I think that’s what we really would advocate for in self-determination theory, is to really think critically about grades and what grades mean, because ultimately grades, at their best, are a form of information, they’re a communication form between instructors and students, that is unlike basically any other form of communication, and that can be used effectively, [LAUGHTER] or it can be used for harm. And I think too often we view grades as a mechanism to control. So students after COVID, my class attendance has dropped, so I’m going to give more points for students coming to class, or more penalties for not coming to class, and instead we can think, well, what is it that’s happening in class that we can make more valuable for students, and then that doesn’t mean you can’t have grades tied to it, but like, how do we then make the grade tied to the learning that they’re doing in class that’s tied to the learning outcomes and objectives that will help them in their long-term career personal goals, whatever those may be, and trying to really build that connection, so students don’t see their grade as well. This instructor liked me or disliked me, and therefore they gave me this grade at the end, but really that this grade reflects what I’ve been able to achieve, and my growth, and then I can go talk about that, and like what it meant to earn an A or a B in this class, and what I gained from it, and that grade is one piece of information that is sort of a tightly packaged representation of that.

Rebecca: This conversation’s making me think a little bit about self-determination theory related to instructors, too. We have needs, especially around grading, and some of these other things, too. I’m wondering if you have any thoughts about that side of the coin in thinking about some of the basic needs of instructors and how some of the techniques that you’re recommending actually [LAUGHTER] serve in both directions.

Chantal: Yeah, absolutely. I’ll just kind of get started, and then Dan can jump in, but when we go through our Impact program, which Dan described, our 13-session semester long program, we really emphasize that to faculty, and that’s the beauty of self-determination theory. As you mentioned, it’s a theory of human motivation, so it’s about humans, so it’s really the humans that are doing the teaching and learning endeavor, and that’s really the most important thing, and what we really need to focus on. So, we tell faculty, you also need to think about the satisfaction of your basic psychological needs, and that will revitalize your teaching, how you approach your teaching, how you think of your teaching. So, again, if you encounter a technique that you think is the next sexy, flashy thing, but you don’t think it’s going to work for your class, or it’s not going to be something that you can do that you can implement effectively, you’re not going to be in a position to satisfy your basic psychological needs, so that will translate into something that will hinder the needs of your students, because you’ll feel forced, controlled, and not self-determined in applying those techniques. So we really engage in conversations with faculty around that, and to find, through asking questions of the faculty, to really find the thing that’s going to create the best possible autonomy-supportive environment for them and their students.

Daniel: Yeah, and I’ll just add this is what, to me, is really fun about being on the I mpact team and working with faculty every semester in this way because I might be a person who thinks ungrading is the greatest thing for my classes, but I’m not there to convince them of that, I’m there to try to understand what they’re doing and what they’re achieving and what will be meaningful to them, and to me that’s a really fun thing because it makes every semester unique and different, and our hope is in having all these different case studies, readers will be able to see how people have gone through this same program, but come out with very different classes, but all classes that are at their core achieving the same basic goals of creating a learning environment that’s going to support students to internalize their motivation and to succeed and to value the things that they’re learning.

John: We talked a little bit about the structure of the book, but we should note that you have chapters on pretty much all aspects of teaching that should apply to pretty much any faculty member out there. You have chapters associated with creating tests, writing assignments, group projects, lectures, labs, and experiential education, and in each of those cases, you provide some really nice suggestions on creating an autonomy-supportive environment. Could you each highlight one or two ways in which the approaches that you advocate in either one of these chapters, or generally across the chapters, might differ from what we see in many classrooms today?

Chantal: I love how you set up that question, and I want to kind of not push back on it a little bit, but “different” is not how I would really think about it. It’s not like many of the techniques that we have in there, or suggestions are necessarily different. There’s a lot of the things that are the same things, but sometimes it’s just to think about them in a context that is really based into self-determination theory. So I would say not necessarily different in kind, but it’s really about using the self-determination theory lens and the lens of the satisfaction of the basic needs to make meaningful choices and decisions about your class and your content, and maybe how you’re delivering it, so that’s I think is important to understand that you’re not going to read this book and say, “Oh, I’ve never heard about this before, this is amazing.” That’s not really at all what it is, and again, the suggestions are suggestions, we don’t intend them to be recipes. But if I give a couple of examples that are in the case studies that I really find appealing is that Nathan Mentzer, for example, is a faculty who we talk about in our technology chapter, and really he used HyFlex during the pandemic as a way to really survive as we were re-engaging and Purdue came back to in-person instruction very quickly, and he needed to really continue to use his HyFlex model. He actually wrote a book about it, so that’s also another very interesting piece of it. But he says he will never go back. The HyFlex and what he learned about it, and actually he did research on it using self-determination theory as a framework, allowed him to provide choices and options to students and build connection and relationships with the students and amongst the students that he was not able to do before, so he will never go back. He will always do HyFlex and he talks about how he really talked to his students about how important it was to attend in person if they could, but he was not forcing it. He was not taking attendance in person. He was not making the students feel guilty if they could not attend in person. And then the virtual option was something that everybody could connect to, everybody, even in person. Every student could log in with their teammates and be in this in-person and virtual environment all at the same time. It allowed students to have flexibility to have choices of whether they could show up in person that day. If they were sick, they didn’t have to explain why they were joining in virtually, and they didn’t miss anything. They had all of the content, they could continue to be engaged with their group. He really also focused on the autonomy piece by providing a rationale. He would say, I think it’s important and valuable if you can come in in person, but if you can’t, that’s okay. And here is the content. He also talked a lot about whether you should have your cameras on or off, but again, he wouldn’t force the students to behave or do certain things in a certain way, but he would really spend time explaining the rationale. This one is a great example. I’ll let Dan jump in with a few, and we can go back.

Daniel: So, I’ll share one. It’s actually not the story in the book about this person, but by Lindsay Hamm, who is in the book, I think also in the technology chapter about what’s called Charlie, which is her AI writing feedback tool, and she teaches 500 students sociology class, so it’s like functionally impossible without something like this to give feedback to students, which is very important to her. But what I want to share is actually she is someone who is very interested in the development of AI from the very beginning, and she’s become a campus leader on this, not just in her use of this AI-based tool for feedback, but she took her writing assignment, and in the middle of one semester she was confident that AI at the time was not like providing results that had to make her concerned about students using it, and then in the middle of one semester, an update came out, and she was like, “Oh no, [LAUGHTER] it’s time, it crossed the threshold,” and the question then was, “Well, what do I do now?” And this is where I think self-determination theory is so useful, because it really gives you a framework to think, “Well, now I’m in a situation I didn’t expect, and what do I do?” So, what she did was she first met with some students, because this is 500 students in this class, so she didn’t want to just go in front of all of them first. So, she met with some students, because she trusted students who had taken the class already, and she talked to them and said, “This is what’s going on, and I want you to talk through some options with me.” So then she came to the class and had three different options for like what we could do going forward, which some were just like rebalancing other assignments, some were creating something new, but all with the idea that okay, there are different paths forward, I’ve vetted these and now we’re going to give students in the class, different options, and I think students could actually pick which they wanted, so it wasn’t like, okay, 51% voted for this thing, and it stinks for the rest of you. So she was able to make it so that every student could have a meaningful choice, and she could progress the class in a way that she still felt good about meeting the learning outcomes and objectives for the class, and then over the summer, she could do [LAUGHTER] a much bigger, like, “okay, what does this mean now, and how can I adjust and adapt in a more meaningful way, that’s not just like throwing a brand new syllabus at this 500 student class mid semester.” So to me that’s like a really fascinating example of how you can take these principles and respond to the unexpected, which it feels like now every semester we’re always responding to the unexpected in a way that at least I didn’t feel 15 years ago [LAUGHTER] when I started teaching in higher education. So to me that’s one of the real appeals of this kind of framework for thinking about course design.

Rebecca: Stories for responding are always very valuable. [LAUGHTER] One of the things that you’re just hinting at in this instructor’s approach is kind of checking in with multiple students to develop some choices, and kind of at the start of our conversation, you mentioned the importance of bringing students into the conversation of course design, but of course, students have competing interests and values in what motivates them? Can you talk a little bit about kind of balancing the very different needs or perceptions of needs of different students in a class?

Daniel: I’ll start. So, part of what has enabled this is we have a Students as Partners program at Purdue called the Student Pedagogy Advocate, so that has provided a structure with students who are not like heavily trained but are introduced to self-determination theory and are really interested in working with faculty to make meaning of their classes and really centered around achieving the instructor goal, so we have some students who are prepared to do this, which certainly helps when we bring them in, but I think that’s to me part of the exciting part of teaching is when you are teaching the same class sometimes for decades, for some of us, what makes it exciting is that the students are different. And to me that’s at the core of what it means to teach, is to really think about the connection with the students that you can make and the students who are in the room, and how you can be responsive to them, and I think again thinking through self-determination theory gives us a way to integrate students into that thought, because it gives us a way to understand students and a set of goals for what does it mean for a student to feel a sense of competence, and whether that’s that they aced the test, but maybe guessed on half of it, but we might not know that, or they might have struggled on the test, but they felt good going into that, so then what does that mean for our discussion, or they struggled on the test, but they say, “well, I know I didn’t have time to study, so it’ll be fine next time,” but like what does that mean to help us, for us to help them think about what strategies they’ll take. So yeah, I think to me it really helps us think about how we engage with students, both to build a sense of relationship, but also to really understand what will be meaningful to them.

Chantal: Yeah, and I would add to that, that in some of those classes it’s not like instructors all have to do this, but some have used this very effectively, is to really work with students as co-creator of this class and this content, and even how it’s delivered, and sometimes it’s not possible; in certain situations or certain courses it’s not possible. But to the extent that you can think about students as partners, as Dan mentioned, not just the program that we have at Purdue, but also in terms of its philosophy of how can you really engage with students as guides and partners, as opposed to in a hierarchical sort of relationship, that’s really helpful when we’re thinking about our students as coming to this learning endeavor as co-creator of their pathway, and that’s really the essence of what we mean by autonomy and supporting autonomy. It’s not doing whatever we want and letting the students do whatever they want, but it’s providing a structure and then guiding within that structure. One word, one sentence that I really like to use to think about this is choices within a structure, so structure is also very important within that, so it’s not like there’s no boundaries, there’s no structure, there’s the course objectives, but the alignment, as Dan talked about, and we talk about in the book, the alignment between your learning outcomes, your objectives for the course, and how you assess the kinds of activities that you engage your students in, it’s very important to think about.

Daniel: And one other thing that I’ll add, we’ve been collecting student data on this program through a self-determination theory lens for over a decade, and one of the great things about self-determination theory being a theory that’s been put into practice around the world for 50 plus years is there’s a lot of great existing survey tools, and we can probably, in the show notes, have a link to these, but you go to the Self-Determination Theory Center website, and you click on metrics, you can download all sorts of them. One we really like is called the Learning Climate Questionnaire, and there’s a short version that’s, I think, eight questions. Chantal can correct me, but it’s eight questions. [LAUGHTER]

Chantal: That one is actually published in the first book, so the student-centered impact book that I talked about earlier, and we have some of those scales published in there.

Daniel: To me having eight questions that I can give to my students and get a clear sense of how are they perceiving the learning climate, and we tried to get these into the end-of-semester surveys with some luck, [LAUGHTER] but not as much luck as we’d want, and also you can ask these earlier, you can ask these in the middle of the semester and get really valuable information to understand how students’ basic needs are being met or not being met, and then you can take action from there to address those gaps. So I think that’s one of the other benefits we don’t talk about enough is that having these set surveys, because making class surveys is really, at least for those of us who are not psychologists by training, really hard, and also then we make them, and we’re like, well, did students interpret this question how I thought, [LAUGHTER] and the general answer is probably not, so having these set surveys that have been tested in hundreds, if not 1000s, of classes can be really valuable to collect some quick feedback and understand, like, okay, is this achieving what I wanted when I designed the class in this way.

John: We’ll include a link to the survey site in the show notes. Now, we wouldn’t be having a podcast in the last three years without some mention of [LAUGHTER] artificial intelligence, we keep trying, but… [LAUGHTER]

Rebecca: I keep trying to run away but it’s not helping. [LAUGHTER]

John: However, that is certainly an issue that does relate to educational technology, and you do address this in your book a bit. Can you talk a little bit about ways more generally in which educational technology can support student learning and autonomy, and also perhaps some ways in which we can redirect efforts, so that we don’t see students engaging in excessive cognitive offloading that can be harmful to student learning and skill development.

Chantal: I’ll start with a general comment, and then I’ll let Dan answer the tough part of that question [LAUGHTER] …so I’ll run and avoid it. To me, the general message that I really want the listeners to think about is that technology, including AI and others that will come in the future, are simply tools, and I don’t mean this in a sort of dismissive way, but tools are there to help us create environments that will foster learning, just the same way that our computer and typewriters and smartphones were tools, and some when those came out, were really afraid of those particular tools, but the challenge is to really think about how to integrate them effectively into your teaching, into the learning of the students, and what does it mean to support the basic needs with those tools? So, again, they’re tools. Your voice is a tool, like we’re doing a podcast now. So, your voice is a tool. How do you use those tools to support the learning is important. So, I’ll just put AI in that same category. We just need to think a lot about it. So, now Dan is going to answer the hard part of the question. [LAUGHTER]

Daniel: So I guess in thinking about, like, how do we prevent students from using this as not just a tool, basically to avoid the class or the learning process, because ultimately meaningful learning is hard. That if we haven’t challenged ourselves and haven’t struggled, we probably haven’t learned that much, and our society, our human nature is we try to make things easier. So it’s human nature to look for ways to skip hard things and make them easier, but what that means is we really need to think about motivation, and we need to think about how we internalize motivation, and this goes back to when Chantal described the different types of extrinsic motivation, is we need to really think about how can we help students identify the value of what they’re learning and the skills they’re developing, or ideally even integrated, and feel like it’s a sense of who they are. And often this means really focusing on the basic skills that get before the stuff in their major, especially like the stuff that they perceive as fun. So when I taught the intro music theory class, not many students were very excited to do like the basic lessons and learning how to read music in multiple clefs that they didn’t necessarily deem apply to them, but you need to have those skills really solid before you can do much else, so how do we help students either internalize the importance of developing those skills at a really high level, or to integrate it and feel like, well, I’m a musician, a musician, this is who we are, and we need to have these skills. And this is where the idea that when we create environments that meet those basic needs, students are more likely to have that sense of internalization, and we’ve talked about lots of ways to do that. But really I think that at the core for us is to think about that relationship element, because ultimately students need to trust us when we say this skill is important, and we also need to believe it, and I think this is something we sometimes forget, because most of us now use AI for some of these things, and there’s a difference. I would say using AI for something that I can do and it will save me time, but then I also know if the output is good or not, because I’ve done this enough times, and doing something where, like, I really don’t know if this is good, it will save me time, but it’s not something I could do otherwise and I think those are two very different places, and a lot of students are in the “it’s not something they could do otherwise,” and we really need to get them to the point of recognizing the value of those basic skills and not skipping them, because when they skip them now, they’ll run into challenges later, and we can say that all the time, but unless we really develop a sense of trust and meaning, and have students really buy into the core elements of the class, they’re not going to believe us, when we say it. So that’s where we need to create this environment that’s internally motivating, and an environment where students trust that we have their best interests at heart, and I think most of us do, but I think also there’s, at least when I started teaching, I felt like I wasn’t supposed to say that, I wasn’t supposed to tell students I cared, and I think we’ve turned a corner on that. I think now it’s more acceptable for students to believe we care and us to articulate that we care, and I think now it’s more a matter of like really creating an environment where students internalize that we care, we want them to succeed, and what we’re sharing with them are strategies that we know will help them succeed in the long run.

Chantal: I’d just like to add something, because Dan, you made me think about this, is that with regard to the offloading, yes, humans will tend to find things that they can do that tend to be easier, but humans are not lazy by design. If you really think about self-determination theory, and you really go to the origin of the theory, it’s really about humans are really wanting to grow and develop and become self-determined… self-actualized is another word that’s been used in psychology. It’s like one place in the right environment where the needs are supported, humans will do a lot, and if you think about humans that are alive and vital, they’re doing things, they’re just finding ways to write, to read, to consume, like students read and consume a lot of information, maybe not the textbook, but that’s a question that we can think about, like why not, why is it, but humans are not inactive or lazy, like we really engage in things that we care about, that we value, and that we want to be intentional about. I think that’s kind of the way to think about this in a broader perspective.

Rebecca: So, Chantal, you mentioned the last question is a little challenging, but some folks find our last question the most challenging, which is [LAUGHTER] we always end by asking what’s next.

Chantal: I’ll answer with something that’s kind of on my mind right now, and in things that we’re really thinking about at Purdue is, and you mentioned technology, so it has to do with AI, but really thinking about how critical thinking gets developed and is fostered, including how we think of AI using critical thinking, and this is a program that actually Dan is part of. We’ve been sort of pioneering this, piloting this for the past couple semesters, but in our conversations with faculty, we’re really thinking about how do we develop this sense of problem solving and critical thinking, because when you talk to faculty, right, it’s often something that they’ll say, “Oh yeah, I want my students to become better critical thinkers, but it’s just going to happen, it’s not something that I’m going to build into my class,” and we disagree with that, we say no, we really need to build in how you define critical thinking, how you think about it, how it evolves throughout the curriculum, and how is it that students progress from an emerging skill in critical thinking to really proficiency, and what does that mean, and what does that even look like. So that to me is what I’m rethinking about right now, and what is sort of our next steps in terms of applications.

Daniel: And I’ll just add, because I’m also involved, I’ve really loved this program, that one thing that’s been interesting is we’ve approached this through the same Impact framework, so it’s still based on self-determination theory, but the idea that you need to create a self-determined environment to get students to engage critically with material, but we’ve changed it, as we mentioned earlier. Traditionally, the program we’ve explicitly brought together faculty from different departments, and that was one of the core aspects, was this is a time to go outside your discipline and to realize that teaching has significant differences, but also commonalities, and for this program we started bringing together groups from the same department, and this has been like really interesting in different ways, and part of that is the recognition that a lot of faculty don’t actually talk about their teaching with their colleagues in their department, so this has been one of those opportunities for them to get together and think about what does critical thinking look like in our context, and how can we actually connect our classes in meaningful ways that help a student, whether it’s the 100 level class, start to develop certain skills that will be applicable in that context, and then how can those be reinforced, and how can we use similar language and structures, or one department we’ve been working with that I’m really excited they built a whole curricular long rubric with like here are key critical thinking skills and here are where we think students will develop and actually the department is Speech Language and Hearing Sciences, so the vast majority of students go on to get a master’s degree because you need that to be a practicing professional. So they actually said, well, at the top level we don’t even expect you to be here until you’re in graduate school, and the idea is to share this with students from the beginning, and obviously figuring out how you share it with students at your 100- level class and say we expect you to end this class at level one, maybe two, right, [LAUGHTER] but then show that that progression, and then when they’re applying to graduate school, give them the structure and language to talk about how they’ve developed and what they still plan to learn, because ultimately you go to grad school to continue your learning and development to become a professional in this field, so that to me is also really exciting, and like a twist on this program, but our early success shows how this basis in self-determination theory can really apply in lots of different contexts.

Rebecca: Sounds like a really great initiative. Well, thanks so much for joining us.

Chantal: Thank you for having us. This was a lot of fun.

John: Thank you. It’s a really good book, and it’s one I’d recommend to anyone who is beginning to develop or redesign an existing course.

Daniel: Yeah, thank you so much.

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

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

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