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.

[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.

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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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444. Random Audits to Deter Cheating

The growing capabilities of generative AI platforms have made it increasingly difficult for faculty to reliably distinguish between student work and AI-generated output. In this episode, David Wiley joins us to discuss the possibility of using random audits to promote academic integrity in a scalable manner.

David has an extensive record as an innovator, entrepreneur, and leader in open educational materials beginning with the Open Content Project in 1998, continuing with his work as Director of Educational Licenses for Creative Commons, a co-founder of several education-related organizations, including Lumen Learning, where he also served as the Chief Academic Officer from 2012 to 2025. He is the recipient of numerous awards, including an NSF Career grant. David is currently an Associate Professor at Marshall University where he teaches courses in Entrepreneurship and Management Information Systems. Much of his recent work has been on the intersection of generative AI, open education, entrepreneurship, instructional design, and student success.

Show Notes

Transcript

John: The growing capabilities of generative AI platforms have made it increasingly difficult for faculty to reliably distinguish between student work and AI-generated output. In this episode, we discuss the possibility of using random audits to promote academic integrity in a scalable manner.

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

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

John: …and Rebecca Mushtare, a graphic designer…

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

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Rebecca: Our guest today is David Wiley. David has an extensive record as an innovator, entrepreneur, and leader in open educational materials beginning with the Open Content Project in 1998, continuing with his work as Director of Educational Licenses for Creative Commons, a co-founder of several education-related organizations, including Lumen Learning, where he also served as the Chief Academic Officer from 2012 to 2025. He is the recipient of numerous awards, including an NSF Career grant. David is currently an Associate Professor at Marshall University where he teaches courses in Entrepreneurship and Management Information Systems. Much of his recent work has been on the intersection of generative AI, open education, entrepreneurship, instructional design, and student success. Welcome David.

David: Thank you. [LAUGHTER] I appreciate the invitation to be here.

John: Well, we’re very glad you accepted. Today’s teas are:.. David, are you drinking any tea with us today?

David: I’m a water guy. I’ve got a giant glass of water here. I will be drinking throughout. [LAUGHTER]

John: Hydration is healthy. And Rebecca?

Rebecca: I’ve got English Tea Time today, John.

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

Rebecca: Oh, that sounds nice. I’m sure it smells nice, and I probably wouldn’t like the taste of it. [LAUGHTER]

John: It’s delicious, and it smells nice too.

Rebecca: We have an ongoing discussion of that. [LAUGHTER] David, we invited you here today to discuss your March 9, 2026, working paper entitled “Random Audits as a Scalable Deterrent to Cheating, Using Game Theory to Design Fair and Effective Academic Integrity Systems for the AI Era.” You begin this paper by noting that there has been a long standing arms race between students engaged in cheating and faculty attempting to detect and deter cheating through the use of surveillance technology such as remote proctoring AI detection software and lockdown browsers. Is this an arms race that faculty can win given [LAUGHTER] the vast amounts of funding going into the development of generative AI platforms?

David: I don’t know that it was an arms race they could win before generative AI became a thing. It seems like there’s boundless, infinite creativity and energy on the part of students in this regard, in particular. We tend to be little older, a little less connected to everything that’s going on currently, and the availability of new techniques and new tools, I don’t see any end to this arms race. If we’re trying to fight it, technology versus technology specifically, there’s nothing we’re ever going to create as instructors that’s going to compete, as you say, with these multi-billion dollar generative AI tools that are being created.

John: What you suggest is that we skip the arms race entirely by perhaps using an audit system that may alter students’ incentives. Could you give our listeners an overview of how an audit system might work?

David: Yeah, it might be easiest to begin explaining by reference to some examples that people already know. We often make progress on hard problems by realizing that a different framing of the problem can help us see it from another perspective. This is a problem that I’ve been interested in for a while. Other people have been more interested in it than me, I acknowledge that. This isn’t my area of expertise by any stretch. I was just trying to abstract this problem up to the highest level I possibly could, and think about it from that perspective, and I would say that from that very high level, there’s some largish number of people that we need to be honest, but the number of them is so large and the circumstances are such that we can’t directly observe all of them. If you frame it that way, and then start to think about, what are other domains where that same problem exists, and how do they approach it, then some other examples start to present themselves. Doing taxes is the first one that came to mind. The IRS has an interest in all of us being honest, but obviously can’t observe all of our documentation and all of the work we do as we prepare our taxes and submit. Once you get to that first example, then others kind of start busting through. You think about anti-doping in sports. We can’t watch everything that every athlete does all the time, but we need them to be honest about the fact that they’re not using substances that we don’t want them to use. Nuclear proliferation [LAUGHTER] would be another… food safety, we can’t be in every warehouse producing every kind of food, the FDA can’t all the time. We need them to be honest that they’re following safety guidelines and meeting standards. Once you abstract the problem up one level, you’re able to see that same problem manifest in other domains. And of course, the way that the problem is addressed in all those other domains is through some kind of audit procedure, ostensibly random audits that have pretty significant penalties associated with them. And the idea is that the penalty is so dramatic that it removes the incentive to be dishonest in the first place. As you said, rather than trying to continue to compete in the arms race with “you develop this technique for cheating, and I’ll develop this one for countering it, and we’ll just keep doing that over and over again,” what if we just step to the side and said, “Let’s just try to remove the incentives for cheating altogether and kind of come at this a different way.” That was the originating thought behind the paper.

Rebecca: So that’s like the abstract, the big problem. And I think when you start thinking about it with these other examples, it seems like it’s not such a big deal, not such a big problem. It’s solvable. Can you talk a little bit about what that might actually look like in a classroom setting? What would an audit system look like in terms of assessments in a class?

David: I didn’t go into this very much in the paper and said explicitly in the paper that I think that there’s a second set of work that needs to be done. If people believe that this higher level framework is interesting and appealing, there’s a lot of detailed work to be done then in describing exactly what the audit would look like. And you can imagine it looking very different from one discipline to another, and looking very different from one kind of work that was done to another kind of work. So if I’ve given an exam, and this was a multiple-choice exam, say, with 40 or 50 questions, you’re selected for an audit, then what that might look like is I might take some subset of the questions that you got right on the exam, and I might watch you retake some subset of the exam over again, because I don’t want to spend another hour or hour and a half with you doing this. I want to spend 15 or 20 minutes doing it, and rather than randomly selecting questions from the exam, because maybe you missed some of them on the exam, it would behoove me to choose the ones that you’d gotten right on the exam, and we could look and see if you’re able to get the correct answers again. Or if I’ve had you write an essay, I might pull out five to 10 vocabulary words from that essay that seem kind of interesting. I might ask you just to describe to me what those vocabulary words mean to you. Give me an overview of the argument that you created in the paper. It would take a different format depending on what kind of work the student had done, which of course is related to the discipline of the course. But the idea is that you’d want these to be doable in a pretty brief period of time, 15 or 20 minutes, because you’re going to need to do a number of them, and you would only do them for major assignments. I wouldn’t do this for every 10 or 15 point homework assignment in a course. I would do it for a 100-point midterm, 100-point final, or 100-point project. I think it would need to be used pretty judiciously, because it is going to take a fair amount of time.

John: A lot of people recently have been suggesting a movement towards oral exams, and that’s a much more extreme form of this. And what I really liked about your approach is that it is an oral exam, but it’s one given only to a small subset of the students, and it’s a shorter exam designed to deter cheating, rather than to completely eliminate any possibility for cheating. And it seems like this is much more scalable than many other approaches that people have suggested. One of the things you mentioned is the Ellsberg paradox, which suggests that people are more cautious when they’re facing uncertainty, when they don’t know the probabilities, for example, of being audited, then when they know the risk, when they know what the probabilities are. How can instructors use this paradox to also deter cheating, or to help deter cheating?

David: Yeah, I think there are a couple of examples from behavioral economics that we could leverage to our benefit here as the instructors, but I think this is one. There is a interactive simulator that you can play with that accompanies the paper, where you can turn the knobs up and down on how many students there are and how many points there are in the course, tell you things like what percentage of people you need to audit and how big the penalty needs to be in order for the game theory to all work out, for the incentive to kind of evaporate, to cheat. You need to know all those things as an instructor, [LAUGHTER] but what you need to say to the class is, some of you are going to get tapped on the shoulder after the midterm, and we’re going to do this kind of supplementary learning review together. But I think it’s just as easy as avoiding saying “it’s going to be exactly 15% of you,” and then I think it’s important to come back afterwards and say I enjoyed the conversations that I had with many of you in our supplemental learning review. Make sure that people know that it’s happening, that it’s occurring. Hopefully, some of the people who are selected and who do well will come out the other side and tell their friends, “hey, you know, I got chosen for one of these.” It’s important that the word gets around and that people believe that they really are happening. If the idea of the audit as something that’s really going to occur loses its credibility, then of course, it loses all of its value as a deterrent.

Rebecca: So speaking of the idea of credibility, how do we really make sure that a system like this maintains its credibility, other than being careful about how we present it to the class.

David: Say a little more about that.

Rebecca: If students say, “Oh, I was tapped on the shoulder,” then it seems like whatever [LAUGHTER] you were tapped on the shoulder to discuss, or whatever that supplemental learning instruction was would need to seem to be like a good follow up. And that people didn’t feel like it was threatening in some way. If someone has test anxiety or something like that, it’s set up in a way that feels trustworthy and safe and that it’s fair.

David: Being fair is extremely important. Let me come back to that in a second. First, I would say, I’m not a person who gets upset easily. Let’s just say, a time that I was very upset, that I recall very clearly, was as a graduate student about halfway through my first course on assessment design and learning how to create a measurement of learning that is going to have the psychometric properties that you want it to have. It’s going to be valid, it’s going to be reliable. And realizing that my entire life had turned on decisions that had been made about what I had and hadn’t learned by teachers in high school and instructors in my undergraduate career that had no idea what they were doing as they designed these assessments [LAUGHTER] , they had taken multiple choice exams when they were a student, so they created them when they became a professor, and, oh my gosh, I got so lit up about that. I promise we’re coming back around to your question. But one of the interesting phenomena that happened with the move to online learning in the 2000s as that really started to take off, was people started making claims about the degree of quality and rigor and the standards that a course would have to meet in order to be offered online. And it was always hysterical to me that if you had turned around and tried to apply any of those criteria to the face-to-face instruction that was happening, very little of the face-to-face instruction would have passed muster. So there’s this weird kind of double standard that we’re accepting of things being, I’m going to say poorly done, that’s stronger than I mean, but we’re accepting of things being poorly done as long as they’re poorly done the way they’ve always been poorly done. But if we’re going to do anything different, it has to meet this 18 times higher bar. The reason I bring that up is that I think it’s the same person who’s going to design the assessment for the supplemental learning measurement as designed the original assessment. And so the idea that it would be somehow unfair or tricky or difficult or something like that, it will probably still be kind of poorly designed, just like the original assessment that was taken maybe was because maybe that person did their PhD in something other than education and has never had a class on what valid, reliable assessment design looks like. I don’t want to get in a place where we try to hold this secondary assessment to a 10x higher bar than we hold the primary assessment. I think as long as the secondary assessment looks very much like the primary assessment. That’s really what we want. And I mentioned in the paper that you wouldn’t want to put yourself in a situation where maybe your primary assessment, the exam that everyone does, is measuring learning outcomes at very low Bloom levels, like remember and understand. And then you would turn around on the secondary assessment, and all the questions would be apply and synthesize, and then you say, “Oh my gosh, you failed the supplemental exam.” Well, it’s broadly on the same topic, but it’s not measuring the same learning outcomes that the original assignment did. That’s why I think it’s nice in cases where you have some kind of exam with multiple questions, whether they’re short answer or multiple choice or whatever, to take a subset of those questions that the student did well on, that’s ideal. If you can’t do that, then you can take parallel forms of them, where, if it’s a word problem, you change the names of the people and the number of apples, the same question, just changing some of the details about it. But it’s very important that that supplemental assessment be on the same topic, at the same level of difficulty, similar in every way that it can be to the primary one. There’s no assessment strategy you could take to scale across higher ed if it really depended on all those assessments being valid.

John: To reiterate your point, it’s not just a few people who haven’t had much training in assessment and reliability and validity. It’s probably 95% or more of those teaching in college, I would suspect. It is a major issue, but that’s not something we can all deal with here, other than doing our best to help everyone become better at these things. [LAUGHTER] Well, going back to that point, about not sharing, necessarily, the proportion of students who are going to go through the second stage, because when students don’t know the probabilities, they’re more likely to worry about the downside of that, about the possibility that they may be caught. There’s another behavioral economic principle known as loss aversion, which is when people are faced with a choice between a gain and a loss, a loss of equal value to a gain is weighted much more heavily. There’s a lot of research suggesting that people do pay much more attention to potential losses than they do to potential gains. And I think this sort of approach is one where that loss is the main cost that students potentially face, and that may also amplify the effect.

David: I agree completely. As I worked on this idea, the loss aversion piece of it didn’t occur to me initially. Once I started doing some of the math and realizing the penalty was going to have to be bigger than 100 points to make the math math, as people say these days, that it was going to need to be 50 points more, or 100 points more. You were going to need a zero on this assessment, plus another 50 point penalty against what? …just against your overall grade. At some point, looking at that, I realized, “Oh my gosh, and people feel losses about twice as strongly as they feel gains of the same size.” That’s another bit of BE working in our favor there, in terms of, again, just trying to not fight the battle of, you’re going to cheat and I’m going to catch you. I’m just going to take away the incentive for you to cheat in the first place, so that we don’t have to fight that fight later.

Rebecca: I can imagine that introducing a system like this into a class would be challenging, like any type of different grading mechanism [LAUGHTER] where students are used to a particular kind of assessment or particular way of teaching and learning that may be counter to [LAUGHTER] good practices, but we want to introduce something new to them, we have to be really careful and take the time to explain the why. I imagine that would be the case here too, is really taking the time to explain why there’s an audit system and what the purpose of that is, would be important to getting the students to buy in.

David: Absolutely, I think so. I’ve had some preliminary conversations with folks in the Office of Academic Integrity at my institution to talk about, “Does this seem like it’s compatible with the way things work, and at what point do I refer someone to your office as having violated their academic integrity,” as opposed to “I’m just dealing with it internally, with penalties that are clearly outlined in the syllabus.” And it’s not me saying, “Ooh, I have vibes that you’re cheating,” or “I read this paper and it didn’t sound like you,” so I’m going to accuse you of something, but it’s just a repeated measures. You took one test, you did very, very well. We turned around and did a second measure of the same thing, and it was really different, and that’s a problem. So I think laying all that out and being very honest about the fact that I don’t want to do all the work it’s going to take me to do to try to catch you when you cheat, it’s just too much time. It’s too much effort. If I’ve got a class of 50 students, some percentage of them score a C or better, which creates the pool of people that I’m going to draw from to do these follow up learning measures, if I have to do five of them on every major assessment, but it actually eliminates the problem, that’s much less time spent than I would have spent on all the other things that you do. It definitely will take some time. And now, as I’m answering that question, I realized I’ve lost the thread of what the question was. I’ve meandered a bit from what you asked me there. I apologize.

Rebecca: I mean, I was just really thinking about faculty who introduce concepts like ungrading that are just really unfamiliar, because it’s very different from the ways that they’re expecting the assessment or getting caught cheating… like what any of that looks like. So for making it look different, then it really requires some explanation up front.

David: This is something that, if you don’t use a syllabus quiz, you would want a syllabus quiz where people have to go through and answer four or five questions about “Yes, I looked at it, yes, I understand I’ll lose all the points on that assignment.”” Well, and how many additional points will you lose off of your overall grade? Will it be 25, 50. 75, 100? It’ll be 100 points more. You’d really want to require them to go through some exercise where they have to read the syllabus, they have to understand, they have to demonstrate that they understand. You’d want to go over it verbally, either in front of the classroom or on a video if you’re teaching online. It’s going to take several explanations. And then I would raise the issue again just before any assessment where it applied. So everybody remembers, back in September, we talked about this, and now here we are at the big midterm, and this applies. So let me explain again what that means. Some number of you are going to take a secondary assessment after we take this primary one, and if there’s a big difference between how you do on the secondary one and the first one, there’s a penalty, and this is what the penalty is like. And the reason I’m doing this is to remove all incentive for you to cheat at all, because the odds of you passing the class if you cheat and are caught here, are basically zero. Maybe if you got 100% on every other assignment, you could squeak out a C- that’ll let you count this course toward your graduation. It’s just too dangerous, so don’t do it. You’re going to get caught.

John: And maybe even a reminder of that at the top of the assessment might not be a bad strategy, too.[LAUGHTER] So it’s there explicitly in case students ignored all the information up to that point, which has been known to happen once or twice.

David: Actually, that’s a really interesting point. Maybe the first two questions on the assessment should be, is there some chance that I’ll be selected for a secondary experience, and if there’s a radical difference between my score here and there, in addition to getting a zero on this, how many other points will I lose? Now, I wouldn’t want to put them in a state of panic that’s going to prevent them from performing well on the assessment, but you’re right, the proximity of the reminder to the task really ends up being important, doesn’t it?

Rebecca: If you really don’t know this, you should just let me know now. [LAUGHTER]

John: One of the other things you talk about, though, is a concern for false positives on this second-stage assessment, because students may be nervous, they may be having a bad day, there may be some anxiety or language issues or some other issue that interferes with their performance. So you suggest a few ways of perhaps addressing the risk of false positives. Can you talk a little bit about those?

David: Yeah, well, we’ve talked a little bit about one of them, which actually may not be in the paper, that is just been part of my thinking is that’s evolving, and that is using subsets of the same work that you had students do on the primary measure on the secondary measure, so that you remove any, what we might call construct irrelevant noise from that second measure. We want them to be the same across there. But if a student performed really poorly on the supplemental measure, they might come back and say a couple of things: “I was having a really bad day.” “My grandmother died.” “My cat died.” “This happened, this other thing happened, and I was just out of it.” Then I’d be inclined to say, “go home, sleep it off, eat a decent breakfast, and let’s try again tomorrow.” Now, if there’s something structural about the assessment that makes it difficult for them to engage with it, a) I would have expected that to show up the first time they took the assessment, b) any kind of accommodation that they require for anything that’s going on with them and their learning, we should have provided the first time around, and we should definitely provide the second time around. I think it’s important that there’s some kind of release valve for somebody who just wants to bang the pulpit and insist, “no, I do actually know this. There’s something wrong with the supplemental measure that you did” to say, “heck, let’s do it a third time. But this is the last one. With repeated measures. If I get two of one outcome and one out of the other, I know which one I’m inclined to believe now,” and when they’re quite different than that’s kind of concerning. I think the primary method is having there be some appeal process where they can take a second supplementary learning evaluation and maybe modifying the mode or the method of that. If there is something about the first one that if they’re English as a second language learner, and there’s a lot of writing on this version of it, then maybe there’s some alternate form that I can provide them that’s going to make it easier for them to show me what they really know, because the point here isn’t to catch anyone. The point is to get them to demonstrate what they actually know. So it’s not about gotchas. It’s about accurately measuring what students know and are able to do. So if there’s something about that secondary assessment that made it so that that measure was inaccurate, then we should take another swing at, but it’s not turtles all the way down, right? It’s not the 15th time that we’re coming around and trying this thing again. There has to be a stopping point.

Rebecca: Some students might not be concerned with maximizing [LAUGHTER] their grades. They might not be aiming for an A, perhaps they’re using AI to meet those minimum passing standards. Students say things like, “Cs, get you degrees.” If this is a common phenomenon, which I’m pretty sure it is, how could the audit process be modified to deter kind of that C level cheating?

David: One of the differences between the first draft of the paper and the draft that was posted has to do with this issue, and that is that I was trying to think about how to make the potential pool of people that might be drawn, that might be audited, smaller. And it occurred to me that if you failed the exam, there’s no need for me to audit you, because you failed the exam. Depending on the institution that you’re at and the discipline and the major, sometimes you need a C or better to count that course toward graduation requirements, sometimes just anything that passes is okay, but I think that as an instructor, you’d need to be kind of attuned to that, and that the floor, in other words, the lowest score with which someone would be eligible for the audit, needs to be far enough down that it picks up all the people in that category. So if it’s A, B, or C counts as satisfactory academic progress, then everybody who gets a C needs to be in the audit pool too, and they need to be drawn out, and they need to have the supplementary experience. If they knew it so poorly that even using AI, they could only pull out a C, then I think that’s going to show up, now if they’re being super clever and smart and trying to calibrate exactly their AI use so that they only get a C. Actually, in that case, they’re only cheating themselves. I mean, if they’re going to use AI, they should have just gone ahead and got an A, using it in a clever way to get a C doesn’t help you, because if you get pulled into the audit and it turns out you don’t know the material, you may as well have rolled the dice on getting an A than getting a C.

Rebecca: How to play the game well.

David: Well, this is part of why you don’t make all the rules explicit, right? It’s 12 and a half percent of you that are going to be audited every time, or something like that. I think to the extent that the rules are unclear, it’s harder to play the game.

John: Going back a little bit to addressing those false positives, you also mentioned perhaps having some type of an audit bonus or a bonus for those who are audited and passed successfully. Can you talk a little bit about why you might use that approach?

David: Rereading the paper before we got together today, I can see me disagreeing with myself a little bit in the paper [LAUGHTER] on this topic, which is why it’s just a working paper still. My initial inclination there was that if you’re going to get pulled out and have to schedule time and be at a place at a time to meet with me for 15 or 20 minutes to do something, you probably deserve something for doing that, something other than “attaboy” or “attagirl.” So introducing a couple of points that you could think of as extra credit or as bonus points, or as thanks for being part of this process, was the way I originally thought about that. It turns out that that bonus also helps the math work out in terms of the expected amount of points somebody could earn if there’s a chance of a false positive. But then if you don’t get a false positive, and you are able to show what you really knew, then you do get a couple of extra bonus points, like making that all balanced out, that it turns out to work out nicely from that perspective as well. Later in the paper, you can see me kind of arguing with myself about whether I want to call this extra credit or bonus points or, like, “I put you through this whole thing, guys, I’m going to throw you a bone. Here’s a couple of points for participating in this process,” versus saying “you took this much smaller second assessment, and since it was smaller, I’m going to give you a smaller amount of extra points for passing it, because you get points for passing the first one, get more points for passing the second one.” I’m still not exactly sure how to frame the language around it, whether to think about it as extra credit, or look, you have a chance to do a second assessment, and you’re going to earn more points on that, and those points are also going to count toward your grade, and other people aren’t going to get the opportunity to take that second one and not have the opportunity to earn those extra points. So you can think about it as being earned or being extra, or however you want to think about it, you can really only understand by putting this in front of students and working through it a time or three. There’s got to be some way to talk about it, though.

Rebecca: Like thinking through a student lens. “Ooh, I want to get audited so I can get some extra points.” [LAUGHTER]

John: If only the IRS worked that way.

Rebecca: I was just thinking. But I’m like in all these other contexts that doesn’t play out.

David: That does not work that way in any of the other contexts. And maybe this is just me being a softie, especially in an asynchronous, online course, if I’m going to require you to make an appointment and show up someplace at a certain time, I think you deserve something.

Rebecca: I think that feeds into the question of just in what ways is the system equitable, if we think about the student populations and thinking about your sampling and different strategies that might be employed. How do we make sure that a process like this remains equitable?

David: I think it being truly random is important to being equitable. And there’s a paragraph or two in the paper, some people who did poorly on the first two or three assessments, and now they suddenly do really well on this one, maybe we might weight their potential to be drawn out of the pool a little more heavily. You could certainly do something like that, but it seems like the most fair way to do it is just to do it completely randomly. And I think part of the equity argument here is that it’s really only fair if the grade that you earn is an accurate reflection of your learning. And if you work and study and push and strive and you end up with an 89 and then somebody else who does none of that and cheats their way through ends up with a 93, that, to me, is like the definition of being inequitable. Part of the equity of this is who is selected to participate, but there’s also an equitable outcome of does the signal of the grade truly reflect your learning in a way that is fair? Everybody’s grade really is an accurate reflection of their learning, not some people’s grades are accurate reflections, and other people’s grades are super over inflated because they were cheating and we weren’t able to catch them. I think about the equity on those two levels.

Rebecca: I think the transparency that we talked about earlier too, about explaining the process and making sure students understand the process, that plays into equity as well. It’s really important for everybody to understand a system that might be really unfamiliar to them.

David: Not that I’m trying to convince you. I really would want to try to try to convince them that this is not about trying to catch you doing something. It’s a second measure, and if you did well on the first one, you’ll do well on the second one, and you’ll get some additional points for doing well on the second one. I think there’s a way that that can be explained and communicated and practiced that is fair for everybody. If it doesn’t eliminate the incentives to cheat, it can really dramatically reduce it.

John: And one of the things I was just thinking about, as we’ve been having this discussion, is a classic economics paper by George Akerlof called “The Market for Lemons,” which explains why, when you drive a car off a lot, its value drops dramatically. And the reason is, when you buy a new car, you can expect that most new cars are very high quality, but if you look at the market for cars that are a year old, what happens is, we get a very different mix. The high quality used cars are ones people are likely to keep, the lemons that they are having a lot of problems with are the ones that tend to be offered for sale. In the market for used cars, you don’t necessarily know whether this used car would be a lemon or not, and that’s essentially the sort of system we have with grades in the presence of AI. The whole value of a degree and of the grades in classes can very well be lowered if employers and future instructors at other institutions observe that students have not mastered the skills that their grades suggest that they have, and that can devalue education for all the students, including the ones who actually did master the skills we hope that they have. Having more accurate signals is a really useful way of addressing this, and that’s one of the things I really like about this approach.

David: It seems like now, more than any time that I’ve been alive, for sure, that the number of questions about the value of education are already at an all-time high, confidence is at an all-time low, perceived usefulness is at an all-time low. AI just has the potential to make that situation even worse if we don’t figure out some way to really improve the consistency of if you came out of that program with a B average, I know what that means in terms of skills and knowledge and attitudes and things that you’re going to have, but when those signals don’t mean anything, then people stop relying on them. And, I tell you what, you want to see, the bottom really fall out of higher education, we just need employers to stop requiring degrees as a condition of employment. If a degree isn’t the gateway to good employment, who’s going to keep showing up paying what they pay now to participate in this process. We’ve got to do better.

Rebecca: I think the more we share with students the concern that we have about their learning and why we might put measures in place to make sure that their degree does mean something, there’s a lot of motivation there to focus on learning too, having those setup conversations like motivating in a lot of different ways, motivating because you’re explaining why you want to make sure their degree has value, that that demonstrates care, and that’s good relationship building. But also I care that you learn. I think those are things that can be really valuable, and some of that’s baked into the system without explicitly using that language. There’s a piece of care that’s present.

David: I indicated earlier that it’s possible that I’m a softie, but I am one of those people that tells my students on the first day of class that I don’t know you yet, but I’m here because I love you and I care about you, and I think this whole experience can be one that changes your life, improves your life, the life of your family for generations, there’s real reasons that we’re here. I could be making a lot more money somewhere else, but we’re here to do what we’re here to do, and I don’t think you can talk about that enough. I think it is so easy to reduce it to gameplay. I need this many points, and I get that, and what’s the cheapest, fastest, easiest way to get those points? If we don’t call them back to help them think again about why are they here. Tell them why we’re here. Explain what we’re trying to do together. If we don’t do that, we certainly can’t expect them to be responsible for providing all that context and motivation for themselves. That’s part of what we get paid to do.

John: One of the really nice things about your approach is that AI systems are getting better and better and harder to detect. I remember seeing not too long ago a video you had posted of an agentic system going in and completing all the work in a simulated course without any intervention other than providing the login ID, the password, and the URL. And in that environment, we really need to do some deterrence, since we can’t detect it reliably any longer, and this seems like this approach is independent of how AI systems develop, is that an accurate description of your view of this?

David: It is today, and that’s the goal. I don’t know, it’s the academic in me. I expect someone is going to stand up and raise a counter argument at some point that is going to burst my balloon. The way that I look at it now, it really does feel like it steps back from the way we currently think about it, and steps to the side [LAUGHTER] and steps forward again in a way that it really doesn’t matter what AI can do. You could have it log in and do all of your assignments for you fully autonomously. If you get selected for the audit, and we are going to have a conversation about it, and I’m going to watch you do it and talk through it, then it doesn’t matter if AI wrote your essay, or if you paid someone in some other country to write your essay, or if your friend wrote your essay for you, it doesn’t matter how you cheated, because this is just repeated measures of learning. I took one measure and it showed this, and now I’m going to come back and take another sample and try to find out. So I really do believe today that it’s independent of the kind of cheating that happened. Doesn’t matter what tool you used or what approach you take, so long as I can get to you for some secondary, supplemental follow up, however you want to describe it, where we can really be knee to knee, either virtually or physically, and have an experience where there’s not an opportunity for you to cheat in that same way that you cheated the first time. Now is it possible that we could log on and it could be your video avatar that’s being powered by AI. I suppose there’s some scenarios like that, but we’re not there yet.

John: So we should be safe at least for another six months to a year. [LAUGHTER]

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

David: I’m currently playing with some technology to help a person who would want to implement this strategy be able to implement it more easily in their class. I think it’s one thing to hear it described and for it to be in a paper. For example, if it was an LTI tool that you could add to your Canvas, your Blackboard, and it would provide all the support for you and doing the random selection and pulling the subset of questions that students have gotten correct and provided all that support to you, it’d be a lot easier to use these kinds of approaches. I think for me, the next steps on this work are keep talking to people and waiting for somebody smarter than me to show me why it’s a dumb idea. And while I wait for that to happen, try to create some tools to make it possible for people to start using this approach, because we really desperately need some way to combat, some way to slow down, change the incentives around cheating.

Rebecca: Well, thank you so much for joining us. I really appreciated the reframing and getting challenged to think about the problem in a different way.

David: Thank you. This was so fun. What a treat. What a blessing to be able to put an idea out into the world and have other people engage with it and then have a chance to talk about it. This is academia at its best.

John: Well, thank you, and thank you for all the work you’ve done over such a long period of time.

David: 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 Fred Llerena.

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416. Teaching More Effectively with ChatGPT

The rapid evolution of generative AI tools has introduced an expanding set of educational applications. In this episode, Dan Levy and Angela Perez Albertos join us to discuss how these changes are affecting faculty and classrooms.

Dan is an economist and a senior lecturer in Public Policy at Harvard University where he teaches courses in quantitative methods, policy analysis, and program evaluation. Angela is a graduate of the MPA program in International Development at the Harvard Kennedy School, and is the U.S. Head of Strategy at Innovamat. Dan and Angela are the authors of the first, and now the second, editions of Teaching Effectively with ChatGPT.

Show Notes

Transcript

John: The rapid evolution of generative AI tools has introduced an expanding set of educational applications. In this episode, we discuss how these changes are affecting faculty and classrooms.

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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 Dan Levy and Angela Perez Albertos. Dan is an economist and a senior lecturer in Public Policy at Harvard University where he teaches courses in quantitative methods, policy analysis, and program evaluation. Angela is a graduate of the MPA program in International Development at the Harvard Kennedy School, and is the U.S. Head of Strategy at Innovamat. Dan and Angela are the authors of the first, and now the second, editions of Teaching Effectively with ChatGPT. Welcome back, Dan and Angela.

Angela: Thank you so much for having us.

Dan: Thank you very much.

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

Dan: Yes, Moroccan tea. My family is originally from Morocco, so I tend to drink this one.

Rebecca: Always a good flavor, for sure. How about you, Angela?

Angela: Yeah, this morning I’m drinking chai tea latte. This is my usual morning drink.

Rebecca: How about you, John?

John: I have a tea which actually has a French name, which I’m not going to try to pronounce, but the English translation is chimps’ tea. It’s a black tea with fig and honey and a few other things in it, and it’s really delicious. It was sent to us a while back by one of our listeners in France, which was really nice.

Rebecca: It’s always nice to be able to try new things. I have an Assam tea this morning from Pekoe Tea in Edinburgh.

John: Impressive. She got it there herself, mine came through the mail. [LAUGHTER] We’ve invited you here today to discuss the second edition of Teaching Effectively with ChatGPT. Since some of our listeners may not have heard our earlier discussion about the first edition of this book, can you provide an overview of the purpose of the book and who is the target audience.

Angela: Thank you so much, John. The main purpose of the book is to provide a guide for educators to understand how ChatGPT and other AI tools can be useful for more effective teaching and more effective learning. Now what our main approach is to provide plenty of examples that are practical, to really demystify what AI looks like and how it can look like in and outside the classroom for learning.

Rebecca: In Chapter Two, you describe three guiding pedagogical principles that you use throughout the book, and these principles we certainly talked about on the podcast before and are great advice to anyone involved in course design, whether or not they’re using generative AI. Can you tell us a little bit about these principles and why they’re so important?

Dan: Sure. So the three key pedagogic principles were meant to give the reader of the book an overview of what are the underpinnings of the pedagogic advice of the book. For those of you who listened to this podcast, you might not be surprised in hearing the first one is to be student centered. That sounds very obvious, but yet we spend a lot more time thinking about what we do in the classroom and less time about what our students are doing in the classroom. We spend more time thinking about what we will cover in a course, rather than what our students will uncover. And so being student centered just means paying very much attention, and the focus of the teaching enterprise is stimulating the learning of our students. So that’s kind of that principle. The second principle is to plan for active learning. I think the two of you in this show have said, many times, there’s ample research suggesting that people don’t learn by just listening to someone telling them stories they learn when they actively engage. And the third one is to begin with the end in mind, and this is a little bit of a different way of saying we use backward design. So the idea we start with, what do we want the students to be able to do or master at the end of every learning experience, and then we design backwards from there. And so the book, very much, has these three principles embedded. A lot of the activities that we propose for educators to do have to do with how they can create more active learning in the classroom, and so the three principles embody a lot of what the book is about.

John: Could you each give us an example or two of ways in which Chat GPT can be used to design new classes or redesign existing courses?

Angela: Absolutely. So I can get started with a very cool use that, Dan and I actually did together when we were redesigning one of the classes on the Bayes’ rule in a statistic class, and there was a specific question or activity that was based on COVID and a positive and negative test and the possibility of a false positive and false negative, and we felt that was already an outdated activity by the time that we were working together, and so we wanted to update it to new examples that felt more appropriate for the times. And we could not pin down what could an idea of a different theme or contextualized activity could be. And we asked ChatGPT to just share what could be like 10 potential topics or things that we could explore that would help the students understand how Bayes’ rules can be valuable in a real-world context. And it gave us an infinite amount of ideas that we would have never guessed just by brainstorming him and I together, and just to give like two specific examples that we liked. One was about art forgery and being able to identify fake art pieces, and the other one that we ended up using was about being able to detect AI plagiarism in student work. And so it’s incredibly helpful for anything that has to do with brainstorming contextualized tests and activities to context that are valuable for students.

Dan: Yeah, so similar to Angela, I can think of several examples in terms of designing course, but just to give a recent one, this is more about designing an assessment, similar to what Angela just mentioned. I created a project for a course… and I’m sure we’re going to talk in a little bit about projects… the syllabus has a lot of things, and there was a question that we had created last year that we wanted to change. And so I uploaded the question to ChatGPT, and I said, “Can you tell me what you perceive to be the learning goals of this question that I just gave you?” And I think it did an amazing job, better than I could have stated them myself. This was very helpful. I think part of it is because it had access to the goals of the course, but I think it was very helpful in helping me be better at interacting with ChatGPT in the refinement of this learning activity. So that’s just like one example. I realized both examples that Angela and I gave are in the realm of assessment, but it turns out to be a very important realm in terms of designing sort of a new session or new course, the book goes over to what I think, still today, is my favorite and maybe Angela’s favorite activity. This was kind of maybe the spark of the book. We were trying to think about an activity surrounding the Cuban Missile Crisis. And over two weeks, basically had a conversation with ChatGPT along the lines of, “help me design a better class session on this topic that I don’t know too much about.” After I saw that, I thought this has a potential to be an incredibly useful tool for teachers and learners, as Angela said.

Rebecca: Your first example seems like a really good reminder that we can use tools like this to help implement things like TILT (or transparency in learning and teaching), having it help us be more clear about what the course objectives or assignment objectives are, so that we can then convey that information to students.

Dan: Right. And you might have the reaction, but how can you not know? It’s not that you don’t know, it’s that maybe some of them are subconscious to you. I mean, one of the most useful things that a teacher can have is someone, or in this case, it’s not a person, but put a mirror to what you’re trying to do in the classroom. So that’s why having a colleague come and see you teach is so valuable, because you might do things and you might not realize why you’re doing them, and maybe having someone ask you or sort of give you ideas for why you’re doing them, it’s helpful. The book is based on the premise that AI can be an incredible assistant, but also an incredible thought partner. And I think both of those examples have those two roles being played quite intensively.

Rebecca: One of the other things that you certainly have examples of in the book is the way that ChatGPT can be used during class sessions. Can you give some examples of this?

Dan: Yes, we can give several examples. So, one of them, it’s an example that is described in the book. But our colleague, Mitch Weiss, who teaches at the business school, has a wonderful activity that is about discovering the capabilities of AI, and students use that in the classroom in a case called Storrowed. And so probably not the best use of time here to describe the full activity, but suffice it to say that students are put into two groups, and they’re kind of competing to be able to see who comes up with the best ideas, but they’re able to use AI for proposing some of their ideas. So that seemed like a very interesting one. The book also highlights two examples of using AI to summarize student input in the classroom, and I think that’s an incredibly powerful tool. I think a lot of educators have heard about the one minute paper, the way that it typically worked, at least until not too long ago, was you ask people to give you what was the main idea that they learned, or maybe the muddiest point, or whatever it is, at the end of class. This is incredibly valuable, but normally you would just get out of the classroom and then have to read and sort of think about how it works. And now you can do it in the classroom, live and understand what are the main themes that people are picking up. You can also do it with questions. And then a very exciting use that I experimented with a month ago is with group work. I don’t know how much you have been in situations where you assign students to work in groups, and then 10 minutes later, you’re trying to debrief. But debriefing is a little bit hard because you don’t really know what happened in the groups. You might circulate, but if you circulate, typically, the moment you approach a student group, the conversation changes, so you’re not really listening to what they’re describing. And so what I did is to build a simple custom GPT that did the following. So the students were put into groups, and they were asked to input their answers to the activity in a Google slide. So this was typical use, especially during COVID. You did breakout rooms, everyone fills in a slide. As soon as they’re done doing that, what custom GPT does is it produces four slides for the instructor. So this is in a matter of a minute. And so the first slide has the main themes. So of all the groups you had in the classroom here, the main themes that were emerging. The second slide has particularly novel or interesting ideas that emerge. But not only they tell you the idea, but it also tells you it was group three that came up with this idea. So you can use that in the debrief, “Hey, group three, I noticed you came up with this idea. Can you expand on this?” The third slide tells you about points of contrast or tension between what the groups did, and then the fourth slide gives you some ideas for how you could debrief. And so the fact that all of this is available within one minute of students finishing the group work, I found it to be incredibly empowering to lead a much better debrief discussion. So those are the kinds of uses that I think advance learning in the classroom in a way that it would be very hard to do without a technology like this.

John: You have a chapter discussing how ChatGPT can be used to either design or grade assessments, and there’s been a lot of discussion on this in various social media forums and also in some editorials and articles and so forth, in terms of whether generative AI should be used to create assessments and to grade student work, with some students being concerned that they’re not getting the direct feedback from their professors. Could you talk a little bit about what ways might be appropriate and how this may be helpful.

Dan: So, I would like to separate the question into two parts. One is about designing assessment, and the other one is about giving feedback in terms of assessment. I am convinced that for designing assessment, AI can be incredibly helpful without sacrificing the voice of the instructor or the learning objectives. And the two examples that we gave at the beginning, I think, are suggestive of how can they be used. It can convert you in a much more creative teacher, because you have a thought partner with which to bounce ideas. It can give you feedback on the assessment that you’re doing. My colleague from the business school, Mitch Weiss, again, he has this custom GPT that is like eliminate ambiguity in my exam questions. And so he gives the exam question to the AI tool and essentially “write it in this way so that there’s less ambiguity for students.” So you could imagine ways in which the design of assessments can be improved with the help of AI. I’m not saying we should farm out the design. It’s like, “okay, I’m teaching this class, and now you go, AI, create the assessment, and that’s it.” But I do think, in my mind, whatever drawbacks there are, weighing everything, I think the impact is positive. For providing feedback on assessment, I think you have decided this is a big topic, a lot of controversy about student expectations on assessment and so on. I am not going to tell you that I’m convinced about what the right answer is, but I would say, as we describe in the book, there’’re both benefits and risks associated with doing this. But what I would like to suggest is that what we know from the science of learning is that students benefit from both practice and timely feedback on that practice. So that we know. And so the question to me is, are our students getting enough opportunities to practice and timely feedback? And my sense is the majority of us educators feel that the answer to that question is, no matter how hard we work, it’s very hard to provide timely feedback to students of the sort and in the quantity that they need to really, really make a difference in terms of their skill development. And so what we end up is with assessment strategies that are the most feasible given all the constraints that we face. But I think we’re leaving some value on the table in terms of our students being able to practice. So I’m not suggesting that AI should do all the assessment work for us, but if it could work as a complement to the work that we already do, I think this could potentially be a useful thing. Just to be super concrete, maybe if you had five ways of assessing students in the semester, but you’re only able to grade two because of time constraints or whatever it is, maybe you can use, in a very transparent way, here’s AI to help you provide feedback on the assessment. Now, of course, this has to be done with a lot of care and thought, but we can’t do it by hiding from the students that we’re doing it. And also, I think we need to explain to the students why we’re doing it, and if we’re just saying to ChatGPT, “just give them feedback without our input,” then our students, very justifiably will say, “Well, what are you doing? So I can do that.” So I think there is thought that needs to go into how AI is used to be able to do it. Just to close, we have here the Kennedy School, a course taught by Shard Goel, Teddy Svoronos, and myself, and we have our Teaching Fellow, Calvin Isley. He basically helped us design a system by which the assignments would have a preliminary assessment done by AI, and then our teaching team would take into account that and use it as input for grading the assignments. Students were able to opt in to this pilot. And what I think happened is the students who opted in got more detailed feedback than they would have gotten in a system where we’re just counting on human labor. So, in sum, I’m not saying AI should do everything in providing feedback, but I do think there’s a role.

John: And humans get tired. And if we’re providing feedback on many students, the quality of that feedback may very much vary over time in a way that it wouldn’t if you’re working with an AI tool for assistance and at least providing a starting point.

Dan: For sure. I mean, one of the things we say in the book is that AI has like, two very important virtues: it’s available 24/7, and it has infinite patience, and I don’t know many human beings for whom we can say that.

Rebecca: One of the things that you just highlighted was student practice. And you have a number of chapters in your book about how ChatGPT can help students learn. Can you give us some examples in which ChatGPT can support student learning?

Angela: Absolutely, these were one of the chapters that I was more excited about writing, because when we find many of the books that are there is that they focus a lot on the teaching side of things. But there’s so much that as educators, we can do to just teach students to use ChatGPT in a way that is beneficial for learning. And just to give a couple of examples, the first one I’ll give is in continuation with this idea of practice, we have an example in the book of one student that was studying medicine, and she was learning and preparing for an exam, and as she was finalizing her preparation, she wanted more activities to practice, because she had already completed all of the activities that her teacher provided. And so she just asked ChatGPT, “Can you create more questions? These are some of the questions that I received. Can you generate more questions and then don’t give me the answer? I will give you the answer, and then you will let me know if it’s correct or not.” So it’s just an extension of this practice that, again, it’s one of the things that for educators, it’s hard to provide enough practice opportunities for students because it means generating more questions and more questions that cannot be used for formal assessments. So that’s one possible example. The other possible example, it’s the personalization of learning, and this, again, it’s one of the big moments that for Dan and I, it just sparked our interest even more for what AI could do for learning. And the specific moment was related to time when in one of Dan’s classes, he encouraged his students to learn about risk management strategies before the class itself, and then he asked. The students to share what the conversation with ChatGPT had been like. In addition to that, he nudges students to ask ChatGPT about risk management in a certain way. So for example, sharing what context they had about risk management strategies, etc. And we basically saw very different conversations depending on the student. You had, students that were much more familiar with risk management strategies and the kind of explanations that they received were much more technical, much more detailed, less intuitive for somebody that would be just exposed to this concept. Well, for some students, it was the complete opposite. It was a much more intuitive, just like high level conceptual explanation with lots of examples that could be relatable. And this is something that would be very hard for an educator to replicate, a specific one-on-one explanation that would fit the needs of every single student. So many multiple uses for students that can really help improve learning.

John: In the spring of 2025 we had a reading group on campus that read your book. And just as a little bit of an aside, one of the things that happened is, right at the very beginning, people suggested that people would experiment with something, try it, and then bring it back and report at the next reading group meeting. And that worked really well. It’s a great book for a reading group. But one of the things that surprised people a little bit who had experimented with ChatGPT was the ability to customize it to meet your individual needs. Now some people weren’t able to do that very well if they were using it in a wide variety of applications, but now, with the new edition, you’re able to talk about projects in ChatGPT. Could you talk a little bit about how you can customize ChatGPT in general, and also how you can use projects for a similar sort of purpose?

Angela: Absolutely. So to put it simple, because sometimes I feel it can be hard to get lost in all of these, like features and new releases of ChatGPT. The idea here is that you can customize ChatGPT so that it’s more responsive to your needs or your specific context. And to put this into an example, my specific context, for example, may be I teach an economics course to first grade university students. But the reality is that I don’t use ChatGPT only for my classes. I may use ChatGPT also for other uses. And so what openAI has rolled out in this past year is the possibility to customize the responses of ChatGPT at different levels. The first level is to have instructions that apply to any chat that you open in ChatGPT, and that’s what system instructions do in chat GPT. For example, you can keep this to a very general level, like, “I’m a woman, I’m 30 years old. I do this as a profession. I’m from this country, etc, etc” things that may be relevant. For cases where you may use ChatGPT frequently, but it doesn’t apply to any use of ChatGPT that you do, you may want to choose projects instead, where you may have a project for a specific course that you teach. You may have a project for something that you do frequently with ChatGPT. Perhaps you were talking about travel planning before, like, perhaps you travel plan a lot, and you want to have a project specifically where you can provide instructions around the kind of travel that you like to do and the kind of places that you want to go to and the kind of things that you want to do when you go on traveling, and so that’s what projects allows you to do. It allows you to have instructions that you don’t need to be repeating every time you open up a new chat, but then don’t apply to all of your chats within ChatGPT.

Dan: The only thing I would add to what Angela just said is that not only can you add instructions which are very helpful in customizing, but you can add files, and those files can be incredibly helpful. So, for example, for each of my courses right now, I have not only instructions about teaching philosophy, goals of the course and so on, but also the syllabus and relevant material that I think has helped, as Angela said, the advice that you get from ChatGPT be much more customizable. Back in the old days, and old days here means 2023, when you were writing one chat and then you would begin another chat, it was like two completely independent conversations, and now I think AI is much better at understanding through not just the customizations that we just talked about now, but through the use of memory and so on, it’s much better understanding who you are as a user. I think one aspect of the progress in LLMs, ChatGPT in particular, but I think it’s true for all of them that we have picked up in the second edition of the book, is increased personalization and customization that is now available to a user to be able to get more customized and specific advice from their LLM. And the last thing I want to say is that everything that Angela said is very, very, very, very easy to do. You don’t need to code. You don’t need anything. If you know how to prompt ChatGPT, you can create a project, and it’s as simple as you put in instructions, you put in files, and then you create the chats within that project, that’s all you need to do.

Rebecca: You’ve hinted at some ways of taking advantage of projects. Can you give one or two specific examples of where this could benefit student learning?

Dan: So I think the easiest way Angela mentioned is you can create a project for each of your courses. Once you do that, then a lot of the help that you asked ChatGPT would be useful for creating activities for students, helping you design assessments and so on. So that’s one use of projects. If you want to create something that students consume directly, then you would move from projects to custom GPTs. Custom GPTs can be shared with students and they can interact with it. In the first iteration of custom GPTs that were most popular were the tutor bots, so where you might ask students to interact with a tutor bot, for example, to learn some skills in whatever subject that it is that you teach, but where the instructor was playing kind of a design role, was adding materials and so on. I think those tutor bots continue to be helpful. One of the things I think, I suspect many of us have discovered is that if the tutor bot is not part of the natural workflow of students, then it becomes a little bit harder for them to benefit from it. So if students are using ChatGPT as their AI tool or any other AI tool, it’s going to be hard to move them to the custom GPT or to the tutor bot, unless you sort of have very directed task at them doing that. But there are many, many other ways in which you can use custom GPTs with students. And before we were talking about giving students an opportunity to practice, but imagine you were teaching negotiation, for example, you could imagine, and there are some available out there, bots that allow students to practice negotiations or public presentations or so many other skills. So if you teach any skill that you think benefits from repeated practice and feedback on that practice, I think the potential of AI to help you and your students in that task is immense, and custom GPTs are a way to make this happen. And again, the book is called Teaching Effectively with ChatGPT, so we put our stake in the ground with selecting one LLM, partly because it was most popular sort of tool. But if you’re using some other LLM, like Claude or Gemini, the equivalence of everything we have talked about exists. So Claude has projects. You can build custom GPTs in Gemini, through what they’re calling GEMs and so on. So I think a lot of these companies are all building and competing with each other in this space.

John: And in addition to providing those tutor bots, you can also design them to help you with course design, things that will generate things in the TILT framework, for example, or make suggestions for adding more active learning activities. Pretty much any of the things that you talk about in your book, if it’s going to be done repeatedly, could be turned into a custom GPT. And your book was really good at providing them, that was a really popular chapter with the reading group.

Dan: Thank you. I just want to say one thing. So since the first edition of the book, projects became a thing, and I would say, I think building custom GPTs is relatively easy, but if you’re only going to use that tool for yourself, then building projects is an even easier way to accomplish the goal. Obviously, custom GPTs have the advantage that they’re shareable, so you can share not just with students, but with colleagues and so on. But if you’re getting started and are feeling somewhat intimidated with how do I do all this stuff, projects is a very, very natural step up from your ad hoc use of ChatGPT.

Rebecca: There’s still a lot of faculty who maybe would prefer to ban student use of AI or focus their efforts on trying to detect student AI use. Are there any ways of reliably detecting AI use?

Dan: So I’m not a computer scientist, but the ones I speak with give me pause that we will ever be able to really do this at a level of reliability that suggests that we can take action on this. My general sense is that this is a lost battle in the battle of an instructor against students. I think students always win, is my sense. If this is the battle that we’re fielding, we’re not going to win. I think we have to do differently. But just to give you a sense of for why I think it’s so hard, is that now AI is so embedded in everything that we do, that I think it’s going to be very hard. Back in the old days, again, 2023, you could ask students, okay, go to ChatGPT and then have a conversation and then give me the transcript. But now it’s embedded in the things that we do. It’s auto complete things in Word and so on. And more importantly is that you could, as a student or as a human being, produce an essay by yourself. You created all these ideas, and then you give it to ChatGPT and say, “Please improve the clarity of my writing.” That’s all you’re asking it. It will add a few em-dashes and a few words, and then everyone will say, “this was written by ChatGPT.” And you might decide, as an instructor, particularly if you teach writing, that even the use that I just described should not be allowed. But I’m going to suggest that at least for some subjects, that use is fine. And if that use is fine, an AI detector is going to say that this was created by AI. I think we’re in trouble.

John: Since the first edition of your book, openAI has released ChatGPT versions 4 and 5 more recently. You mentioned projects, but what are some of the other changes that have been added to ChatGPT since then?

Angela: Great question. So projects, as you very well mentioned, is one of the main features that was released. There’s another very interesting one, which has to do with the models that are available within ChatGPT. So before ChatGPT 5, there were multiple models available, as most people in the audience would know, where there was a basic default model, which was valuable for most of the tasks. And then there was a deep research model that is valuable for in-depth, multi-step, more complex tasks that require time to think and process before being able to generate an output. So this can be useful, for example, to summarize academic research, to create classes or provide feedback on longer documents, anything that is more complex than the average task. Now, what used to happen is that experienced users knew about this model, and they would change the model that they wanted depending on the task that they were wanting to do, but non-experienced users would just default to the basic model and would not be using the most out of the capabilities of ChatGPT and so with the release of ChatGPT 5, one of the key developments was that ChatGPT 5 automatically selects the model that best fits the task at hand. And so this is a great improvement in terms of being able to really put at the service of users all of the capabilities that ChatGPT has. One of the important things is that when it was first released, there was a big controversy, because some people claimed or complained about the fact that ChatGPT was not able to always optimize for the best model, and they wanted to retain that agency. And since then, openAI has backtracked and still provides everybody the ability to be able to choose the specific model that they want to use.

Dan: We’ve already alluded to this, but to me, a big development in the last year or so is the ability to customize and personalize your experience, not just through projects, through memory. and other things that we go into in the book. In fact, the chapter that we used to call Creating Custom GPTs, we’ve now broadened the title of that chapter to include many other ways in which you could customize and personalize your experience and that of your students through the use of this feature. So that, to me, feels like obviously ChatGPT 5 is better than ChatGPT 4, but back then, now there are these reasoning models that are automatically selected and so on, is useful. But the thing that you will notice more as a user, I think, is the potential for customization. And obviously the reasoning models can be very, very helpful for more complex tasks, deep research, which Angela briefly mentioned, is another important advancement for much more complex tasks.

Rebecca: As we’ve noted in this conversation and also in your book, generative AI platforms change quickly. [LAUGHTER] And when we talked to you in the first edition, you mentioned having a companion website that you would continue to update. Are these updates something that are going to continue with this edition?

Angela: Absolutely, that’s one of the main advantages of the companion side, the ability to be able to update it. As we know this is a fast evolving space, and that we felt that was a good format to be able to digest information. But one of the main inconveniences is that it’s not life, and so users and readers and listeners can always go back to the companion side for more up-to-date information.

Dan: And the companion side has all the prompts that were used in the book, including, for those educators that shared with us their prompts behind their custom GPTs, they’re also there. The site is freely available, and then it also has a lot of the examples from educators.

Rebecca: And we’ll make sure we have that link in our show notes.

John: And people found it really valuable when we’re doing the reading group to have all those examples there so that they could modify them for their own needs. We always end by asking: “What’s next?”

Dan: Well, I want to say something that’s next that is, thanks to Angela. So I think we are maybe one or two weeks away. Hopefully by the time you publish this show, it will be out. We have a edition of the book in Spanish that Angela gets all the credit for making it happen. So we hope that means that more readers around the world will be able to use some of the insights from the book. If you’re a listener and want the book to be available in some other language, let us know, and we’ll try to see if we can maybe collaborate with you and make it happen.

John: And Angela, what’s next for you?

Angela: Getting on a plane, flying back home for the weekend, and getting that book ready.

John: Well, thank you. It’s been great talking to both of you.

Angela: Thank you so much for having us. It’s always a pleasure to come and have tea with both of you and to talk a bit about AI developments in teaching and learning. So always a pleasure. And thank you so much. Hopefully we’ll see you again sometime soon.

Rebecca: Safe travels.

Angela: Thank you so much.

Dan: Thank you.

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

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

John: Editing Assistance provided by Madison Lee.

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415. One Classroom at a Time

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

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

Show Notes

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

Transcript

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

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

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

John: …and Rebecca Mushtare, a graphic designer…

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

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

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

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

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

Rebecca: I have a Jasmine green today,

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

Rebecca: Oh, John. [LAUGHTER]

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

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

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

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

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

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

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

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

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

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

David: Exactly.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

John: Editing assistance provided by Madison Lee.

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412. Higher Ed Instructional Design

Instructional designers have played an increasingly important role in supporting instruction in all modalities. In this episode, Safary Wa-Mbaleka and Gianina-Estera Petre join us to discuss a new resource describing effective instructional design practices in a global context.

Show Notes

  • Wa-Mbaleka; Chen, Baiyun; Petre, Gianini-Estera; and deNoyelles, Aimee (2025). The Sage Handbook of Higher Education Instructional Design. Sage.
  • Journal of Educational Studies
  • Petre, Gianina (2022). Training Pre-Service Teachers for Classroom Management through Study Groups.
  • UDL Guidelines
  • Means, B., Toyama, Y., Murphy, R., & Baki, M. (2013). The effectiveness of online and blended learning: A meta-analysis of the empirical literature. Teachers college record, 115(3), 1-47.
  • Showers, B. (1982). Transfer of Training: The Contribution of Coaching.
  • TILT Higher Ed
  • WCAG
  • Petre, G.E. (2025) ed.,. The Alphabet of Values. Stanborough Press.
  • Wa-Mbaleka, S., & Thomas, D. (2022). Qualitative Research in a Multilingual Setting: Principles and Strategies. In The SAGE Handbook of Qualitative Research in the Asian Context. SAGE Publications Ltd.

Transcript

John: Instructional designers have played an increasingly important role in supporting instruction in all modalities. In this episode, we discuss a new resource describing effective instructional design practices in a global context.

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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 Safary Wa-Mbaleka and Gianina-Estera Petre. Safary is an associate faculty at University of Arizona Global Campus. He has authored and co-authored more than 60 scholarly journal articles and more than 30 books and book chapters. Gianina is an Associate Professor at Adventus University of Cernica, Romania. She is the Research Center Director and Editor-In-Chief of the Journal of Educational Studies. Safary and Gianina are two of the editors of The Sage Handbook of Higher Education Instructional Design, which was released in July 2025. Welcome, Gianina and welcome back, Safary.

Safary: Thank you. Glad to be back.

Gianina: Thank you.

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

Safary: I’m having water today. [LAUGHTER]

Rebecca: The foundation of tea. [LAUGHTER]

Safary: Yes. [LAUGHTER]

John: And Ginanina?

Gianina: Yes. Actually, I like drinking ginger tea. I think two hours ago I had one. I like tea, but also water.

John: Very nice. Ginger tea is one of my favorites, too.

Rebecca: It’s a good choice, for sure. I have Lady Grey this morning.

John: And I have spring cherry green tea.

Rebecca: So we invited you both here to discuss the Sage Handbook of Higher Education Instructional Design. Can you tell us about the origin story of this book?

Safary: Actually, I think, John and Rebecca, you’re part of the origin of this book, because when we had another podcast last year, you asked me the question, so what’s next? [LAUGHTER] And I said, I think we need to look into one of the dimensions and try to dig deeper into that. And as I was looking around, I quickly realized that instructional design is a big deal. And so that’s how it started. I talked to Gianina. I talked to two other colleagues who are co-editors, and we all agreed that, yeah, it was time to have a book on instructional design and specifically for higher education.

Gianina: For me, I just joined the team, a little bit late, compared with the three other colleagues. And what can I say? I collaborated in many projects with Safary, and from this collaboration, when he told me about this project, I said, “Wow, I really want to participate. I really want to be involved in this. I think it’s a need.” And you know how it is, the natural way of appearing, the project’s appearing. You are working on something, and suddenly another idea appears, and you are saying, “Oh, we need to do this.” So I was very happy to be involved in this project with Safary and the other colleagues.

John: And this is a rather large project. This volume has 50 chapters organized into seven sections. Could you give us a brief overview of the types of topics covered in each section, and maybe with a few topic examples?

Gianina: As you mentioned, 50 chapters organized into seven sections. I will give some titles. For example, section one is about general foundations of higher education instructional design. Here is the introduction of what instructional design is. what instructional designers do, understanding and addressing common instructional design challenges and so on. The second section is theoretical foundation of instructional design. Here we have ideas or topics about historical foundations, instructional design theories, instructional design models and other. Section three, it’s about practical foundations of higher education instructional design. And here we have topics about learner needs and analysis, keeping teaching in mind while designing classes, addressing issues of inclusion. I am just selecting some topics. Section four, it’s higher education instructional design at the course level. And here we have exactly the topics, how to design standards, the goal, the syllabus, how to design an online course, flipped class, hybrid class, more micro credential courses and other topics here. With section five, higher education instructional design and the curriculum. And here we discuss about quality assurance, partnership between subject matter experts and instructional designers, mobile learning, designing content for learners with disabilities and other topics. Section six, it’s about technology in higher education instructional design. Hot topic, no? Using technology [LAUGHTER] when designing instruction and when conducting instruction. Here in Section six, we have also about artificial intelligence, how to integrate artificial intelligence in teaching and learning, and the last one, research in higher education instructional design, with the focus on research trends in higher education instructional design, conducting research in higher education and instructional design, investigating learners experience and so on. So a lot of topics, interesting and very actual, I would say.

Safary: Yeah, and thank you so much, Gianina for this summary. You will see that it is true that we have a number of textbooks on instructional design, but as an instructional designer myself, I’ve been in instructional design for many years, there was always something missing. If it is the leaders who design the textbook, it tends to be mainly leadership. If it’s the IT people, it tends to be technical. If they’re just the instructional designers, it’s just the instructional design part. But as you can see on this one, we have a variety of all the different stakeholders, the people who are involved in instructional design, from leadership to technology to the curriculum, to many other things, evaluation, assessments, we tried to capture as many things as possible, so that you have one resource that captures most of what is needed in instructional design, especially in higher education.

John: And you brought in a lot of voices into this volume. How did you select the contributors for this project.

Safary: You know, I think that it started with the selection of the focal editors, because the selection of the co-editors was very strategic, making sure that we’re getting people who have a lot of connections in the field of instructional design. The other two who are not with us on this podcast are from University of Central Florida Baiyun and Amee, who were my colleagues before, actually I worked together in the same department, so they have a large network. And we said, “Okay, we need to look outside the United States, because we don’t want this to be just the United States.” And quickly I thought about Gianina, and she has a large network in Europe. And so with the four of us together, and each one having our own network, we’re able to quickly put together a group of contributors trying to make it as diverse as possible. So we have contributors from many different countries, from North America, Central America, Latin America, Europe, Africa, Australia, I think New Zealand and Asia, of course, we covered almost the whole world.

Rebecca: One of the things that I really appreciate about this particular volume. in your past work, too, is this international perspective. And not just because you have a wide variety of authors representing a wide variety of perspectives, but that a lot of the chapters are co-authored by folks of different perspectives. Can you talk a little bit about those decisions?

Safary: Gianina, do you want to go first?

Gianina: Yes, you know, because we are connected, the editors are so connected and involved in so many projects, research projects, collaboration projects, it’s not very difficult to have a group to connect with of experts, of course, in this field, and also inviting those experts, they have also connections, and they invited other experts in the field. So we tried to motivate them to work by teams, because this different perspective brings a lot of good work, a proper view, a proper image on the topic. So because we are people of collaboration, and we love collaborating, it was not so difficult to work by groups. For example, I had a chapter with three other colleagues, one was for Valencia University, Spain, and the other two were from Montemorelos University, Mexico. So this diversity, I think it’s a very positive and strong point in the book, because different perspectives can bring rich approaches in the topic.

Safary: Yeah, and in my case, and I agree with Gianina actually, collaboration brings synergy that you didn’t get from just a one-sided thing. And this is from the different projects that I’ve had with Sage. This is my third one with the handbooks. I have come to realize that this is actually the strength that we bring into Sage. I have been privileged to work on three continents, and I see that there are many different perspectives, and there are experts everywhere in the world, and not just in one place, as much as I am pro America, because this is where I am, and this is where I study, and this where I’ve spent many of my career years, but there’s just a lot of knowledge out there. And I think this is the strength that we get from collaborating. When you have people from the Middle East contributing, people from Europe, from Africa, from Asia, from Asia Pacific, you’re getting multiple perspectives. Sometimes I read some of the manuscripts, some of the drafts people have submitted. I never thought about that, or we have never addressed that here in the West. And so from the conferences I’ve had with other people, other projects have worked together, connections like Rebecca, I think you were one of the contributors. I don’t know how we got connected, if it was from the podcast or something. And some of the people, my students now, who know other people, you find that the final product is very solid. It’s much richer because it represents the global perspective, because the field of instructional design is not only one sided, it’s everybody’s involved in it.

John: What is the target audience of this book? Is it designed primarily for instructional designers as a resource? Is it designed for faculty to see how instructional designers can assist them? Or is it designed for administrators to better understand the role that instructional designers play?

Gianina: The book is for all the mentioned and for the others also. So we have in the list of the target population, let’s say this or audience. We have instructional designer, but also university students, online education leaders, researchers, faculty, team leaders, support personnel. So it’s a variety of target audience here, and I think based on my experience during this process, from the beginning to the publication moment, I could connect with all these categories. I discuss with them. I presented the book also in Romania and with other researchers and administrators I collaborate with. So I could see that it’s a need, and they were waiting the book to be published so that they have this global perspective on instructional design in higher education.

Safary: And while we focus primarily on that, and we kept that in mind, we made sure that all the contributors kept this audience in mind. We understand that there’s a lot there that can be used in the industry, a lot of information. For example, we have instructional design models there, quality assurance in instructional design. These are things that can be used even K through 12. But we didn’t want to claim that we’re writing it for all those other places, because in case we missed something that is very much relevant to them, then we wouldn’t want to be accountable for that. But it can be expanded to anybody really who is interested in instructional design or learning instructional design, or applying instructional design or doing research in instructional design. They can definitely do that.

Rebecca: I can see it as a really helpful guide for new faculty who don’t have experience [LAUGHTER] designing their instruction, because it is so comprehensive and it allows you to kind of dip into spaces that you may be less familiar with. Maybe there’s areas that you are familiar with, but there’s other topics that maybe you want to explore more, like AI or other topics like different models or different ways to structure a course. So you each co-authored or authored chapters in this book. Can you tell us a little bit about your contributions to this volume?

Safary: I contributed to quite a number of chapters, obviously chapter one and the last chapter. I always contribute to that If I’m a co-editor, I always love that, because it’s like this where we’re going, and this what we have learned. I like that. So the first chapter and last chapter, that’s what it is. But the two chapters that I really contributed to substantively, one is on instructional design models. I like instructional design models. I don’t know why. The first book I used on instructional models, textbook when I was doing PhD in instructional design was, I think, Gustavson, 2002, that’s old now. And when I was going through those instructional design models, I was just amazed. It’s like, how did they come up with this? And so we have one chapter on instructional design models, just a synthesis to have things in one place. I know that books that are just books for instruction design models, but this is like a synopsis of 10 or more designs, something like that, the most practical ones that people can use. Anybody who is new to instruction design can easily follow and we tell them, here are the strengths of each design, here are the weaknesses, and you can use them in this and this area. So I co-authored that with a gentleman from Chicago. actually. I don’t even remember how I got to know him. We have never met, but we have collaborated like we have known each other forever, but we just got to know each other on this project. And he’s an instructional designer in one of the universities there, and so he was equally excited about instruction design, and he teaches instruction design. The other chapter that I really, really loved, and I contributed alone because I just wanted to put in my own concepts of quality assurance in instructional design. I basically took the same things that people have, but presented them in a different perspective and integrated research in that chapter as well, which tends to be left out when you’re talking about quality assurance. People talk more about the strategies to use, but not so much emphasizing the research aspect of that. And so I was able to create an acronym for that to present the different phases that have to happen. And for each phase, I have questions that people have to ask to assess that specific dimension of instructional design, and it’s much more comprehensive, not just at the course level, but in the whole instructional design process. I contributed to others, but at a minimal level, but those two are the ones that I really got carried away with, because it’s just my passion. I love instructional design, step by step and the instructional design models, and also to make sure that the quality is taken care of.

John: So while we have quite a few instructional designers in our audience, we believe, a lot of people in the audience are faculty who may not be familiar with instructional design models. Could you just talk a little bit about some of your favorite instructional design models, the ones that you use, just so that people who may not be as familiar get a feel for them.

Safary: Well, all of us, we know this elusive ADDIE model. You know that is kind of the leader, even if, when you want to go around it, you’ll find that you’ll always find some dimensions of that in whatever other people come up with. We have rapid instruction design model that is also out there. We have spiral designs, those who just feel like you go in circular ways. And looking at the different models, I have come to realize that some look at it as strategies, while others look at instruction design models are more into processes and the ones that I like the least, they look at it primarily as a philosophical or theoretical thing, which I prefer not to go from that perspective. If we talk about instruction design models, I want things step by step, things that I can easily find in what other people did.

Rebecca: So what I’m hearing you say is a lot of these models are really actionable. So if someone is getting started in designing their own course, they can follow a process. And there’s these different processes folks can follow.

Safary: Yes.

Rebecca: …as a way to develop their course.

Safary: Definitely, and for me, if it is not that user friendly, that people can follow step by step, then there’s an issue with that instruction design model, because we are going to introduce these to people who are new to the field, we don’t want them struggling: “Okay, how do I implement this?” They should be able to read and understand most of what is being said and be able to apply that.

John: The other chapter you mentioned focused on quality assurance. You mentioned that you’ve presented some research there, but is there any particular quality assurance technique that you use, or that you encourage people to use?

Safary: I wouldn’t say that I have one specific technique. What I have done in that chapter, I created the different phases of instructional design, somewhere between five to seven phases, and each phase, I have the specific elements that have to be taken care of. So I created a table that shows the different phases and each phase exactly what needs to be taken care of. It’s a long list. It’s a long list, but that makes it very practical, so that anybody who is still new to instruction design can follow, and once they have addressed all those steps, they can move to the next phase and easily address what is happening.

Rebecca: And how about your chapters. Gianina?

Gianina: Of course, I contributed to the first chapter and the last one with Safary, and I met the other colleagues, but I wrote, as mentioned, one chapter with three other colleagues, one from Valencia University and the other two from Mexico, on hybrid class, how to design a hybrid class. And because all four, we are excited about blending face to face and the online instruction, we focus on different aspects on how to design, and we provided specific examples how to use different tools, how to integrate them in instruction. And I wrote a chapter by myself, so it was about addressing issues of inclusion in instructional design. And in this chapter, I would say that it was blending my model, the model I developed during my PhD thesis, the model just saying a few words in between. So I am coming from a former communist country, so in my country, in Romania, only in the last years, we are speaking about cooperative learning and how to train future teachers to use cooperative learning. So during my PhD studies, I developed a model named CoLearnItt, cooperative learning for initial teacher training. And in this chapter, I’m presenting my model blended with the UDL principles. So it seems that all the components of the model are very well connected with the UDL. So I am presenting with specific examples from my classes, because in the last years, I conducted action research in my inclusive education class. So during the years, I came up with different action plans and models. So I improved them year after year. And in this chapter, I’m presenting the last version of my model. So I’m very excited because it’s very practical and each professor can implement in his teaching when designing the class, these elements from the CoLearnItt model and UDL principles. And this is very exciting for me.

John: Let’s go back to the first chapter you referred to on hybrid learning. This is an area where which I think is probably underused given the meta-analyses that suggest that it’s often more effective than either face-to-face or purely asynchronous or online learning. What are some things though, that faculty who first engage in hybrid learning might do wrong? What are some common errors that perhaps you’d like to encourage people not to do when designing a hybrid course.

Gianina: From the readings and the research I conducted, I could identify that is not a balanced way between the face-to-face and synchronous or asynchronous part. So in my opinion, it should be a training before designing such a class, because it’s not easy. So it’s about how to use technology, and not all of the teachers are used to the new technology. It’s about how to create the content, how to organize the content, how much of the content should be explored before the class, in a flip class format, and how much in the class, in the physical class, how to organize or to design the assessment, because it’s important to have part in online, synchronous or asynchronous, and also in face to face. So all these aspects should be in a balanced way, introduced in a hybrid class. And I think the teacher should be trained in doing this, because it’s not an easy task, let’s be honest, and also the technology. How do you use what kind of platforms so that they should be user friendly and easy to access, easy to understand and so on, how to explain your students how to use the platform, how to respond to the assessment tasks. So all this should be in a balanced and very organized way. And yes, the teacher should be trained before organizing such a class.

Safary: And if I may add to that, the other challenge that personally, I have seen with people who are not trained. Training is very, very important. The challenge has been people over loading their students, because here, let’s say this started as a face-to-face class. They have 100% of face to face, and then they have another 50% online, and so students are overwhelmed with a lot of work.

John: That course and a half phenomenon that people often talk about with hybrid courses when people are first designing them.

Rebecca: It’s a problem for both for the students and for the faculty, right?

Safary: Yeah, yeah, true. [LAUGHTER]

Rebecca: Can you talk a little bit about your inclusive model and share some insights that folks might include in their classrooms to make their classrooms and their courses more inclusive?

Gianina: In the model I developed each component… let me list the components…. so it’s about using the training model of Showers, because only following a specific steps the students you are preparing to be teachers can learn how to apply, from the training to the class, everything. It’s about, how to design the classroom management so that it’s inclusive, how to organize your interactive lecturing so that address each type of the students you have in the class, how to evaluate the students, how to design, how to offer or to give expert feedback, so that mastery learning takes place in that class. Also how to use dimensions of learning to build step by step this inclusive class, because we have such a diversity in our classes today, and we need to be so creative and to bring so much diversity in our teaching, so that each one of them can be touched by our teaching, to be motivated by our teaching. So all these components are related to the three directions in UDL, how to diversify the teaching methods, so that the students can learn how to diversify your evaluation, your assessment, so that each one of them can respond in his or her own way due to the diversity that I mentioned, and how to engage them in the classroom. So in these three directions, I think my model is very well connected with the UDL principles. And I showed in the chapter how each component or how each part of the component, it’s very developed. So I cannot just say in a few words the entire model, but I can show with specific examples from the classroom and from my research, how the CoLearnItt model is connected with UDL principles. It’s really nice. You know, for me, it’s very exciting to achieve this point with my model, because I don’t know, in future, maybe something new will appear. Because I’m continuing with the research, I am conducting action research in each class, so after each class, something new comes up.

Rebecca: Probably one of the best parts about working on a project like this is getting to learn a whole swath of new things. [LAUGHTER]

John: And that’s also one of the benefits and challenges of running a podcast. We get so many good ideas from our guests that we try to implement, perhaps sometimes too many of them, and it can be a bit overwhelming at times. We also have another co-author of one of the chapters… Rebecca, could you talk a little bit about your contribution to the book?

Rebecca: Sure, I had the honor of working on a chapter about designing for students with disabilities, which is something that is certainly dear to my heart. As listeners of our podcast know, and I think I got to co-author with a colleague that, Gianina, I think you maybe had recommended that I write with Chip and so it was really wonderful to work with a colleague from Romania, who I had not met before. And one of the things that we explored in this chapter is some of the digital accessibility standards, the web content accessibility guidelines in combination with UDL or Universal Design for Learning and TILT, Transparency in Learning and Teaching, and how there are some really interesting synergies and overlaps between these three models and strategies, but also where they differ, and how those differences and implementing some of those other pieces actually really help support a variety of different kinds of students with a variety of different kinds of needs and different kinds of technology that they might be using to access information. So it was really fun to work on this particular chapter, to explore the different kinds of things that we often recommend, but also like you Gianina, to like put them lined up next to each other and see where some of those overlaps are, and to really make those explicit, so that it also made the differences very explicit.

John: And how did you connect TILT with digital accessibility?

Rebecca: Well, you know, one of the most important things is not necessarily the technical standard around digital but all of our digital content needs to be transparent in the way we’re organizing it. And there is a WCAG, or a web content accessibility guideline that really points the idea of like clear language and TILT is all about clarity and transparency. So it was a way to kind of bring that to life, I think, in a much more obvious way, and really provide steps that someone could take to implement that into their coursework. So there was a lot of examples that are like that, where there’s one here that seems like something I need to do, but maybe it’s in a language that doesn’t make a lot of sense to a teacher, but then you bring in another model that talks about that same kind of concept or content in a different way, that can be really helpful.

John: Very good.

Rebecca: So one of the things that I know is covered in this really comprehensive volume is assessment of instructional design, but we haven’t really talked about that in as much detail. Can you share a little bit of insight of what is captured in this volume on that topic?

Safary: Assessment has always been a challenging topic, and from this volume, it became clear that it’s not just a matter of strategy, it’s not just a matter of technology. It has a whole lot of things related to the philosophy of education, cultural background of the education setting, the historical background, the political background. So these are things that we never really thought about. Because, like, as far as I’m concerned, when I look at assessment, immediately I put on my American lenses. I look at it from that perspective. But other people, it’s like, remember this place where I was in a specific country in Africa, where assessment is about policing and making sure that students struggle, students suffer. So students who get an A, it’s like it’s a fight between the students and the faculty. So when I found myself in that specific country, my first few months, I was struggling because it was an expectation on me that I should assess students from that perspective. But I said: “No, assessment for me is to help students learn and make their learning effective and efficient. And so if I see that there’s something that’s not working, how can I support the student better?” But no. So there was a tension between my philosophy of assessment, of learning and assessment, and what was being expected from me. And so you’ll find that when we are dealing with assessments and instructional design, you’ll find that the context where the assessment is going to take place has other elements that have to be taken into consideration. We cannot have universal principles that everybody will abide with. You will always find variations based on specific context with the specific countries’ specific culture and maybe languages as well.

John: I can imagine that being a challenge, given all the variety in the audience that you’re writing for, given the different histories of higher education and the role of higher education and the traditions of higher education. One other issue, though, related to assessment, that I think we all wonder about, especially in forms of online assessment is AI, and you do have some information on AI in the book. Do you have any recommendations for people who are teaching in terms of being able to adequately assess work when students might perhaps have access to a wide variety of AI platforms that can respond to many different types of assessments?

Gianina: Actually, I listened some presentation of some experts in AI, and I understood that we should not be afraid of AI, but we should learn how to use it properly in our classes. So regarding assessment, let’s say that in Romania, because of the background, as a former communist country, we are not so how to say attached, for example, to formative evaluation. So we are focused on summative evaluation. And sometimes this is a big issue, because our students are learning just for grades, not all of them, some of them, of course, based on what this expert was presenting, that we should not be afraid of AI, but learning how to use it, I was thinking, why not inviting some experts in AI in my university and training our teachers how to use AI, not only to evaluate, to assess, but also to teach, to present and to create content to help students to understand how to use it in an ethical manner. And yes, I connected with some experts from Portugal, and they will come probably in March, April next year, to train us on how to use AI. So I think it’s not anymore that moment to just to be scared about AI, but just addressing properly, because it’s the reality. So why not teach our students how to use it in an ethical manner? And I think many things can be created and time saved with the use of AI, but in a proper way, of course, and also assessment, I think the teachers very fast, can identify if the homework is done with AI or by the student, if you know your students, of course, if you have 200 or 300 students, it’s very difficult. In my university, because we don’t have so many students, it’s a small university, we can, in a moment, identify that this is not the voice of my students. These are not the words of my students. So it’s not difficult. But go back to my first idea, why not collaborating with AI in an ethical manner?

Rebecca: So one of the other topics that’s covered in such a comprehensive volume…. we can’t emphasize how comprehensive it actually is… is leadership. Can you talk a little bit about the role leadership plays in instructional design?

Safary: I was so glad that we were able to include at least one whole chapter on leadership in instructional design, for many different reasons. Number one, when those who are with online, but this volume covers both online and face to face, when people want to go deep into instructional design, they want to have instructional design team or instructional design department, usually [LAUGHTER] they will just try to identify somebody who is an IT, because in their mind, instructional design means somebody who’s good with the computers, which is not true. I mean, yes, you know some of the computers, but instructional design is not primarily computers. It’s really about thinking and doing things, planning instruction, and that’s basically what it is. And so because of this, we do not really have a lot of leaders who are trained as instructional design leaders. People just grow into instructional leadership, but not really train. And so you find that if somebody didn’t go through like a leadership training, or they didn’t study instructional design, because they may be instructional design team leader without actually having done extensive training on instruction design, you’ll find that there’s always a disconnect between the instructional design team and the leader, that’s one side, somebody who can provide the vision, the mission and design the whole department, provide the leadership for the whole department and connect that to the university. It has to be somebody who understands very well instructional design but also knows how to deal with higher administration, because the instructional design leader is not necessarily the president of the college or the university. And so how do they do this? That chapter covers that extensively and is written by people who have extensive knowledge and expertise in the area. The other aspect of this, and I’m going to speak now from the online education perspective. I’ve been in universities where online education was being integrated at the beginning. I’ve been twice director of online education to start the department of online education. And the common challenge has always been, “Oh, since you have a computer and you have internet connection, and we have online library, okay, you don’t need anything, you just do everything, and we’ll have online education.” The administrators do not understand that this is a whole different thing. We need a team, we need a budget. We need resources, and this is something that they have, if they want to go into online education, they will have to invest significant money into this. And so the chapter helps with that. If you want to start an instructional design team, what needs to be in place? How do you relate with the top administration to make sure you get the buy in and the support that is needed to lead your instructional design team? What are the challenges? How do you fund resources? How do you connect? How do you deal with things when you have limited resources, because that tends to be a challenge, especially when the department is new. What kind of personnel do you want to have on board when you have your instructional design team? How do you establish the standards, the policies? All these are things that have to be dealt with when you are a leader of instructional design.

John: And as the role of instructional designers has become much more developed and much more extensive in terms of how they’re used, that’s an important point, and it sounds like that’s an important chapter too for potential leaders to be looking at.

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

Gianina: Many things are next, are coming. One of the projects I finished, it’s The Alphabet of Values. It’s a book for teachers, for parents, and for kids. And next week, on Wednesday, is the launch of the book here in Romania. I’m very excited, because the book, it’s with the contribution. I’m the editor and the one who designed the pedagogical part with strategies, methods, for children, for parents, and for teachers. But 26 authors from around the world, with MA and PhD in education, business and public health, wrote the stories. So all the continents are covered. And the beauty of this book is that it’s inclusive, has different aspects. It’s also interconnected with other fields, with geography, history, languages, religion, and others, and it’s very practical. The illustrations are done by a specialist, by an expert or professional in this field, and I’m very happy that it was published, I think three or four weeks ago, and the next week is the launch of this and also another book I’m sending in two weeks to print. It’s qualitative research, a practical guide for early career researchers, also with the contribution of different experts, researchers around the world. And I really hope that it was more for Romania, because we still believe that qualitative research is not so important, but step by step, we can show that has its place, and it’s very relevant in many fields. So printing, publishing in English, of course, I will translate it into Romanian language. So I am very excited about this, and also about our next year international conference, Safary participated. He was two years ago, the keynote speaker, but next year, we have competing perspectives in the AI age. This is the theme, so it’s very interesting. And these are my future projects, only a few of them, because we are involved in many projects. But I’m happy because two of these are done.

Rebecca: I love that you are supporting learners and educators of a wide variety of ages [LAUGHTER] and education settings and moments in their career.

Gianina: When I come back from my PhD studies, I studied in the Philippines. By the way, Safary was one of the best teachers I had there, and we continued, as you can see, to collaborate since I came back. I wanted to help the education system here in Romania, because we are making small steps towards Western approaches, but I want to contribute to this development, and I’m very happy to do this.

Rebecca: How about you, Safary?

Safary: You know, writing is my addiction, and Gianina knows this, because ever since I met her, I don’t know if it was 2016, somewhere around there, when we first met, I’ve always written, and for the first time, last March, after I published my recent book on qualitative research, I said, I’m going to take a break until October this year. So I’m on break. I have not been writing. It has been hard. It’s been very hard because I have so many ideas that are popping up in the head. I said, “No, no, I’m taking a break until October.” So in October, of course, I have a few ideas that are already in mind. I’m thinking of going back to qualitative research, because the first handbook I published was on qualitative research in Asian context. Then there was these two for higher education. And so I want to go back to qualitative research and probably create a textbook for quality research designs, because I see that a number of people are struggling with that. This is not going to be a handbook. It will be just a textbook, probably 200 pages and that’s not not too long, just to guide people to distinguish between the different designs, so that they don’t confuse that. I tend to be a little bit of purist as far as qualitative research is concerned. So I want things to be done right. You know, the structural design mindset is still influencing my other things that I do. So that’s the plan I have in the near future.

Rebecca: So although taking a break from writing, the mind is not taking a break. [LAUGHTER]

Safary: It’s not, but at least I get time to relax and oh, well, not so much. Gianina and I have a conference next week at a qualitative research conference starting on Monday, so Monday, Tuesday and Wednesday. Again, it’s covering different countries, but it’s a lot less thinking than when you’re leading a handbook.

John: Well, thank you. It’s great to hear from you, and it’s great to hear about this project and your future plans.

Gianina: Thank you.

Safary: Thank you so much for inviting us. It’s been a great privilege to be back on the podcast.

Rebecca: Yeah, thanks for joining us.

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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. Editing assistance provided by Madison Lee.

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408. The University Unfettered

Colleges and universities have survived many challenges. In this episode, Ian McNeely joins us to discuss how public higher ed institutions continued to thrive despite the challenges of the Great Recession, low-quality online diploma mills, and the COVID pandemic. Ian is a Professor of History and Senior Associate Dean for Undergraduate Education at the University of North Carolina at Chapel Hill, He specializes in German history and the history of knowledge. Ian is the author of The University Unfettered: Public Higher Education in an Age of Disruption, which examines how modern research universities responded to the disruptions in higher education between the Great Recession and COVID-19 and the lessons learned from these experiences.

Show Notes

  • McNeely, Ian F. (2025). The University Unfettered: Public Higher Education in an Age of Disruption. Columbia University Press.
  • Club Mate
  • Baumol, W.J. (1967).  Macroeconomics of Unbalanced Growth: The Anatomy of Urban Crisis. American Economic Review. June. pp. 415-26.
  • Krueger, A. B. (2001). An Interview with William J. Baumol. Journal of Economic Perspectives, 15(3), 211-231.
  • Todd, E. M., Watts, L. L., Mulhearn, T. J., Torrence, B. S., Turner, M. R., Connelly, S., & Mumford, M. D. (2017). A Meta-analytic Comparison of Face-to-Face and Online Delivery in Ethics Instruction: The Case for a Hybrid Approach. Science and engineering ethics, 23(6), 1719–1754. (an example of a meta-analysis comparing alternative instructional modalities)

Transcript

John: Colleges and universities have survived many challenges. In this episode, we discuss how public higher ed institutions continued to thrive despite the challenges of the great recession, low-quality online diploma mills, and the COVID pandemic.

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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 Ian McNeely. Ian is a Professor of History and Senior Associate Dean for Undergraduate Education at the University of North Carolina at Chapel Hill, He specializes in German history and the history of knowledge. Ian is the author of The University Unfettered: Public Higher Education in an Age of Disruption, which examines how modern research universities responded to the disruptions in higher education between the Great Recession and COVID-19 and the lessons learned from these experiences. Welcome, Ian.

Ian: Thanks for having me.

John: Thank you for joining us. Today’s teas are:… Ian, are you drinking any tea?

Ian: Recently I’ve been drinking, I’m not sure it qualifies as a tea, it’s technically a soft drink that’s extremely popular in Berlin. It’s called Club Mate, and it’s a yerba mate drink with carbonation and a little bit of sugar, not as sugary as we have over here, but more caffeinated. So it gives you a nice little buzz.

Rebecca: I think it fits in the right category then. [LAUGHTER]

Ian: Yeah, very much so.

Rebecca: I have Lady Grey today, John.

John: And I have wild blueberry today.

Rebecca: Oh, switching it up.

John: Yes, it’s a black tea with a little bit of blueberries added to it.

Ian: Sounds yummy.

Rebecca: Of course, my description is interesting because it sounds like it might fit in that same category of those black teas that had cherry in it that I didn’t like. So we invited you here today to discuss The University Unfettered. Can you tell us a little bit about the origin story of the book?

Ian: Yeah. So it goes back to my first foray, first into faculty shared governance, and then to formal administrative roles. I’d gotten tenure in the mid-aughts, and then a couple years later, the Great Recession came in 2008-09, that was when I was really just beginning to get into faculty service and figuring out what campus was like. And I sensed at that time that this event would have a kind of epical impact on higher education, I just didn’t know how. So I kind of developed a desire to kind of run into this burning building [LAUGHTER] that I thought higher ed would become. And long story short, after a few years of doing kind of faculty senate stuff, I got my first admin job of seeing undergraduate education at my former institution. So I should be clear for listeners that I’m not talking about UNC Chapel Hill, I’m talking about another public flagship where I’d been a faculty member for 24 years until last year, and I spent the entire decade, the 2010s, really delving down into the way universities work and kind of learning at the coal face or down in the engine room, or where the sausage is made, or whatever metaphor you want to pick, about things that I’d never understood before, and frankly, had been socialized to be a little bit skeptical of. I mean, what do Deans actually do? Why are these decisions made? Why is our Xerox copying budget being cut? And then, on a much broader scale, what is happening to higher ed? There had already been a lot of critiques of research and teaching, escalating tuition, political concerns, not yet the types of attacks we see now, and just a general kind of loss of confidence in the public mission of higher ed and of public universities, particularly. So when I got done with that stint in administration, this was more or less after the pandemic ended, I had a sabbatical coming. I thought these two events were a great set of bookends for a study of how universities work on the inside and what that tells us about higher education today. So the Great Recession, 2008-09, all the way down to the pandemic and its aftermath, more or less ending in 2022, went on sabbatical, wrote the thing up. I hadn’t been publishing very much during my admin career, and this thing came out in six months of writing. It just flowed out of my fingertips into the Microsoft Word, and it was a joy to write. It’s a kind of warts and all, this is the way universities work. But despite all the mid-level and minor flaws that we experience in higher ed, the enterprise is fundamentally sound. So it’s a comedy, not a tragedy. There are [LAUGHTER] lots of crazy things that happen along the way, and whether we’re still living in a comedy or a tragedy is something we get to do later. But above all, I wanted folks, particularly in faculty and administrative roles, hopefully, maybe some readers outside the academy, can use this and say, well, at least until recently, this was how the machine was supposed to function, and did a remarkably good job despite it all.

John: You noted that when you entered this position, you were a little concerned about entering this burning building, and you note in your book that state funding for higher ed had been declining for several years prior to the Great Recession, and we saw reductions in state tax revenues during that period, leading to lower state support for higher ed. And also, this was a time there was a lot of for-profit online competitors, some of them of very sketchy quality, and there was a lot of concern in general about the future of higher ed. You note, though, that in response to the challenges that were expected, higher ed continued to thrive during and immediately after the financial crisis. Why were the outcomes so much better than many expected to occur during that period?

Ian: Yeah, great question. So just to cut to the chase, the argument is that over the 2010s market competition reigned supreme, and public universities triumphed in that competition.. There was a flight to quality as students and parents and employers all looked to our established institutions to do what they already had done well. We did not know that at the time. Again, that was why I, myself, got into this line of work, and I think a lot of folks were concerned about: A) cutbacks in state funding, and B) as you said, the threat represented by for-profit online providers. So just to flesh that out a little bit more, a lot of states, including the state where I formally taught, had experienced the declining allocations from state legislators, already for decades, or at least years, running up to the financial crisis. When the financial crisis hit, that put a very big additional debt and the monies available for universities. The reason being that states, A) are often subject to limitations on taxes in general, citizens don’t like to pay that much, B) they’re often obligated to fund Medicare or prisons or K-12 education or unemployment insurance, lots of other things are ahead of the line, from a state legislator’s point of view, before higher education gets its cut. And so the question really was, at the time, would private demand for higher education compensate for the decline in public revenues? We know from generations of economic history that recessions have a counter-cyclical effect, that when the economy goes down, people go back to school to get more educational credentials, but we didn’t know that would counterbalance the cuts that we saw, and part of the reason was the rise of these for-profit online competitors. It’s hard to remember now, but I remember at the time thinking like, are they going to eat our lunch? Are they going to automate education? Are they going to replace liberal arts with vocational training? Are they going to act as the disruptive innovators that run circles around these lumbering, conservative, ancient institutions, and the long story short was that: no, that enterprise failed. And in particular, by the end of the pandemic, we all were treated to what at the beginning of the decade felt like a utopian scenario, and ended up being more of a dystopian scenario where everybody, all of a sudden, had to go online, all at once. And we learned at the end of that that even though online is great, it’s not a replacement for the face-to-face teaching that we’ve done for centuries. And so again, the pandemic was a nice bookend to a decade that started off very uncertain, had a lot of rocky periods during the middle and toward the end, especially with the pandemic, but that ended on a high note, I think. And it was that outcome that we could not have expected to be so good at the end. And again, just a few short years ago, it looked like it was poised to stay that way.

Rebecca: Picking up on the thread of competition. One of the arguments that you make is that competition among higher education institutions has allowed them to effectively respond to challenging conditions and to better meet the demands of their stakeholders. Can you explain how competition among colleges has resulted in desirable outcomes in the period of declining state support?

Ian: Yeah, in a nutshell, competition forces universities and university administrators specifically to be responsive to the demands of stakeholders, whether that be students or faculty members or other administrative professionals, who are all competing in a giant market. So it’s an endorsement that I want to be careful about offering, because I’m not trying to offer a brief for unrestricted laissez faire, Adam Smith style capitalism. But as an historian of knowledge, when I look at the way universities have developed over centuries, going all the way back to ancient Greece and Rome, the city states of ancient Greece, going to the Middle Ages, where urban universities in Paris and Bologna and Oxford and Cambridge were competing with one another. The German Research universities of the 19th century: Berlin, Göttingen, Halle, Freiburg, Heidelberg, and then, of course, the state universities of the United States: Michigan, California, North Carolina, New York. They’re all driven by competition in a common cultural space, a common linguistic area, and that has been a dynamic that repeats itself over time. What I tried to do in the book was to really concretize that at an empirical level, to look at the ways that universities market themselves to students, to look at the ways that universities compete for faculty and try to give them working conditions and salaries that meet the demands of very highly trained professionals, that look at the necessities to provide student services and other fringe benefits and amenities that will bring both faculty, staff and students into being willing to relocate to these universities and work there for a time. And the long and short of it is that those mechanisms are, in themselves, sufficient to guarantee a high quality product, if you will, even apart from the regulation that state governments do to keep those universities true to their public mission. It’s not that the state regulation is entirely unwelcome, it’s that it’s sometimes counterproductive, and that it works best when states provide an overall guideline and, of course, as much funding as they can afford, and then let universities be responsive to their stakeholders. And so it’s the burden of the book to demonstrate, as empirically as I possibly can, the way that dynamic alone keeps universities true to their public missions, despite the fact that they seem more and more to be private consumer goods with a very high price tag attached. That’s a problem. We need to look at it. But it doesn’t undermine the public character of universities like ours.

John: A lot of faculty, though, are concerned that this sort of focus on competition or on corporate-style tactics can damage that public purpose that you’re referring to. But instead, you argue that the market pressure has strengthened this commitment to the public good. Could you elaborate a little bit on that part of the argument?

Ian: Sure, and I should say I started off the book, and I started off my administrative career, being one of those faculty who was irked, ticked off, skeptical of, cynical about, key performance indicators and brand management and the role of athletics and a lot of things that do clearly derive from a kind of corporate-style internal management. But I’ll give you two examples of internal management of universities where, despite the adoption of those tactics, the public mission, the commitment to knowledge, the commitment to teaching and research, was maintained, and one of them is kind of more of a pure positive and one of them’s more ambiguous, so it’s not like it’s all roses. Let me explain a bit. So there’s one chapter on… basically it tracks the student tuition dollar as it moves through the administration, and specifically what we call a budget model, a formulaic allocation of student tuition based on the number of credit hours and the number of majors and the number of degrees that any given department produces. And this is clearly a very capitalist type of system, the departments that compete for students that get those butts in seats. If you’ve ever been to a faculty meeting, you know that’s what the Deans want. It does feel very corporate, but what I try to show in very great detail is the way that those incentives: A) really do encourage departments to be responsive to student needs, to be in service to their stakeholders, but B) are counteracted by cross-subsidies that don’t simply steer dollars to whatever an institution-wide popularity contest run by undergraduate students dictates. There are decisions made as a part of that that balance, again, public goods and the pursuit of knowledge against the competition for budget dollars and satisfying consumer demand. The other example, and I devote another chapter of this book, is around research metrics, around efforts to measure research productivity, not only in terms of NSF and NIH federal grant dollars, but in terms of attempts to count and quantify the value of publishing an article or a book: how many readers does it get? How many citations does it get? How do I stack up relative to my colleagues? How does my department stack up? Can we measure something as complex and ineffable as creativity, as scholarly and scientific creativity, and there, as I mentioned earlier, the record is a little bit more ambiguous. Yes, in some ways, it really does help to not just trust that faculty are off thinking big thoughts in the lab or at the library, but there are ways in which there’s a limit to how much we can attempt to measure and to increase productivity and creativity by measuring things even more intensively, article citation counts, federal grant dollars, et cetera. But even in those cases, I argue these kind of quantifiable corporate-style performance metrics and indicators don’t undermine the fundamental commitments of faculty and administrators to do some version of what we’ve always done, which is to pursue knowledge for its own sake. So that’s what I would tell to my former self as a skeptical faculty member, and then to anyone else who might be coming into this wondering, I think rightly so, “How do these decisions get made in administrative conference rooms?”

Rebecca: I think maybe staying on the thread of faculty skeptics, [LAUGHTER] faculty often voice concerns that institutions are shutting down traditional liberal arts majors in the humanities and social sciences to focus more on STEM disciplines. You argue, though, that this is not a very cost-effective strategy given differences in education costs across disciplines. Can you talk a little bit about the cost difference between traditional liberal arts and the STEM disciplines and some of that decision making that’s happening.

Ian: Yeah, it’s a misconception that STEM disciplines are highly profitable and they kick off subsidies that then have to backstop the declining budgets of their poorer cousins in the arts and the humanities. It varies from institution to institution. But what I found in the case study that I used is a fairly widespread pattern whereby, in fact, if you look at the expenditures per credit hour delivered, it’s the natural sciences that run at a loss, if you want to adopt that kind of crude profit and loss, and it’s the social sciences, think those large introductory sociology lectures, for example, where you have one faculty member and a small team of graduate students generating 1000s of credit hours, those departments actually run a surplus, and that surplus within a college of arts and sciences often can be used to backstop the losses that are run in STEM disciplines. In that equation, as I found, at least in this case study, it was the arts and the humanities programs that more or less broke even. So from a sheer profit and loss perspective, if a trustee were to come to me and say, “We need to shut down all those departments that aren’t making money and steer money to the ones that are efficient and good,” they might be expecting a dean or the administrator to say, “Well, we need to keep the English department. We can’t just give all the money to the biology department,” when the answer might well be, “Well, we’re not going to close down the Biology department simply because they lose money, and we’re not going to reward the English department, simply because they’re so profitable an enterprise. We have other considerations at play.” The takeaway is, and this varies from institution to institution, it shouldn’t be surprising that STEM is more expensive, science is expensive, laboratories are expensive, equipment is expensive, and we should cross-subsidize that. It’s just not the case that the liberal arts run a loss. This is a whole separate conversation we can have. But another thing that we know is that liberal arts degrees pay off handsomely over a lifetime. If you are concerned about: “What can I do with a degree in liberal arts? Do I have to major in STEM or business?” The answer is no. If you major in STEM, yes, if you become a medical doctor or an engineer, you’re going to make a lot more money over your lifetime. That should be no surprise. But if you major in a humanities field or one of the humanistic social sciences, your lifetime earnings capacity is equal to, if not greater than, business, journalism, and indeed, many of the STEM fields, like biology.

John: And adding to that just a little bit, the probability of a student entering into a discipline and succeeding and graduating with a degree in that discipline is much higher in the humanities and social sciences than it is in many STEM fields, which is a separate issue that also needs to be addressed. I was at a meeting this morning where it was noted that the Department of Education is using College Scorecards that look at the earnings of new graduates based on their entering major, which is a bit troubling in a lot of ways, because, as you mentioned, the return to education is best measured by students’ lifetime earnings, and also students change majors quite often over the course of their college career. When you just look at the earnings of recent graduates, it’s a relatively poor predictor of lifetime earnings, because the earnings of college graduates rise quite a bit over time, and much of the gain from education comes from that more rapid rate of growth compared to high school graduates , which is perhaps related to another point that you made in the book, which was that political interventions are sometimes harmful when they get involved in the decision-making processes of institutions. Can you talk a little bit about that?

Ian: Absolutely, and maybe for the purposes of this question, I’ll set aside capital “P” politics, ideology, partisanship, the type of climate that we’re living through now, though I’m happy to come back to later. I would offer a few examples of small “p” politics, or even just policy-making interventions that, in most cases, are very well intentioned and driven by people who have all the best values at heart, and that still backfires. So return on investment, as you just mentioned, is one of them, what is the documented value of a college degree? And there’s so many methodological challenges there, from using your incoming major to using the first job that you get out of school. And there are as many counterintuitive stories in that area as there are ones that gratify your preconceived notions. So one that I’ve heard quoted a lot recently is that at the current moment in the job market, the unemployment rate for ethnic studies graduates is lower than the unemployment rate for computer science majors, because, for the time being, the bottom has dropped out of the computer science entry level field because of AI, and the ability to enter a profession where you deal with ethnic diversity is actually at a premium. So it’s really challenging methodologically to measure return on investment, much less to design incentives and mandates that universities have to adopt in order to deliver their education. So another large argument layered across the book is that more often than not, any attempt by well-intentioned state and federal policy makers to dictate how universities respond to their stakeholders, to scan their environment, to seize on opportunities, is likely to produce sub-optimal outcomes. And just very briefly, I can give you a couple of other examples, and we can delve in further. So a lot of states have experimented with performance incentives attached to particular outcomes that they want to incentivize, things like workforce development, things like the diversification of the graduating class, and a lot of times, those produce more bureaucratic compliance infrastructure than they do demonstrable results. In the book, for example, I look at the state where my prior institution was located, the case study for the book that understandably, at the time, wanted to incentivize state universities to graduate more underrepresented racial and ethnic minorities, and so they attached a $6,400 performance incentive to each institution to say, “Hey, you’re gonna get more money for serving these students. You can use some of that to stand up more services to help them out.” Well, in that particular case, it made much more sense to go recruit an out-of-state student who would pay much higher tuition. In this case, $9,000 instead of $6,400 because that would be in the financial interest of the institution. So despite the attempt to kind of play with these incentives, to steer and nudge a university in a particular way, it had the effect of not doing much to change the equation. All it did was to add another layer of complexity to the budgeting. A second example that I bring up is the way by which we accredit universities, another thing that’s very much in the news today and the whole mandate that all universities are under to conduct assessments of their general education and other curricula, to attempt to measure that which is arguably not measurable. How much do you learn in a given liberal arts course, or even over two or four years? All well intentioned, designed to document: Are we teaching what we claim to? Are our students learning what they need to? But in the book, this is one of the very few actual diatribes in what I hope is otherwise a fairly even-handed approach, I try to show that a lot of that assessment theater is just that, it doesn’t fulfill the policy or political objectives it aims to, and it only fetters universities even further.

Rebecca: How do we get around that? The idea that you have all these policies in place really because the spirit of what’s there is what’s important, but the outcomes are not there, and we’re just kind of like ticking boxes and not really doing what probably most people actually desire to do.

Ian: A year ago, I would have said it’s a devilish problem that needs to be tackled, like hacking back any other set of weeds, that we should go through with a very calibrated set of gardening tools and prune out the overgrowth. Through factors beyond our control, we’re in the middle of to switch metaphors to category five hurricane that is clearing out a lot of old practices, possibly including accreditation, possibly including the Department of Education, things we would have never wished for and will certainly come to regret in many ways, but that will have the effect of possibly clearing a lot of ground for us to rebuild in a more thoughtful way. And what I would like this book to do is to sort of illustrate why we need to build back better in a different way, and in a way that is much closer to the way we used to do the things before these bureaucracies became so overgrown, before these gardens of weeds became so thick and impenetrable.

John: One of the things you address in your book is the rising cost of tuition, which has long been a major concern of people concerned about the future of higher ed. And you refer to the Baumol disease, which suggests that the relative cost of higher ed is bound to increase. Could you give us a brief summary of the Baumol disease, because unfortunately, not everyone is familiar with that argument?

Ian: Yeah, and here I want to concede that this is very much not my own argument. It goes back to the late 1960s, but the classic example is a string quartet or a haircut, any good service or function that is performed by human beings that is difficult to automate, difficult to accelerate, difficult to optimize. You could increase your production of string quartets by playing Beethoven at six times the normal speed, but it’s going to sound pretty funny. You could speed up a haircut, deliver more haircuts in an hour, but I don’t think anyone wants those scissors flying at that high speed near their heads. So there’s certain things that you just cannot increase the productivity of, and higher education is one of them. We had an experiment, again, through the 2010s: Can online automate higher education, and again, the results seemingly have come back: “No, they can’t.” So in essence, the idea is that things that are highly labor intensive are going to experience higher rates of inflation than things that can, in fact, be automated, like automotive manufacturing or any number of other manufacturing processes, so that over time, you would only expect the relative cost of higher education to exceed the relative cost of manufactured or otherwise automated goods and services. And I think the point there to emphasize is that Baumol’s cost disease in higher education is as old as the golden age of higher education itself. It’s not only not a new problem, but it first arose and began to be noticed during the very decade that American higher education… call it a golden age, whatever… rose to international prominence. It is a feature and not a bug. It is an inescapable condition, not a disease that admits of an easy cure.

Rebecca: We’ve talked quite a bit about costs, and one of the issues that students certainly face is sometimes leaving college or a university without a degree, but still quite a bit of student loan debt. And this is certainly true for first-gen students, students from low-income households and students from historically minoritized groups. You’ve noted that the origin of these differences occurs [LAUGHTER] before students enter college. But what can colleges do to help reduce these equity gaps in outcomes?

Ian: So first of all, there’s pointing out that at a lot of public flagship institutions, including the case study in the book, the average debt for students who graduate with any debt at all is on the order of $20,000, or it was during the 2010s, which is not chump change, but as a debt to be paid off over a career is far less than most people’s mortgages. So even though debt is real, even though tuition has gone up, even though students and parents can’t afford, through a combination of grants and loans and financial aid and summer jobs, most middle class students can come out with a reasonable package afterwards. It’s also worth noting that some of the tuition increase that we saw in the 2010s, as I said earlier, had to compensate from declines in public state legislature funded expenses, and so was simply back-filling dollars that had been taken away by appropriations cuts, but particularly after the middle of the 2010s, after that gap was filled, some of that tuition money was plowed back into student services to elevate the quality of the experience and the support for everybody, and not just to make up for lost revenue. Now, there were a lot of critiques at the time of lazy rivers and climbing walls, if that rings a bell, that a lot of these extra tuitions and fees were plowed into fancy amenities to make student rec centers or dorms feel more like country clubs, and there were some instances of kind of waste, fraud, and abuse in that area, but in general, these monies were plowed into scholarships, into support services for first-gen, transfers, other underrepresented students, and before the recent restrictions placed on diversity, equity, and inclusion into programs that cater to specific racial and ethnic minorities. I do say in the book that there are distinct limits to the abilities of even the most well-intentioned and well-resourced higher education institutions to fully close those equity gaps, because, as we all know, by the time students arrive in college, they come from very diverse backgrounds, socioeconomically speaking, and in particular, K-12 education is both dramatically underfunded across the board and highly correlated with zip code, because it’s funded by property taxes. And I have a long session in the book, it’s a bit of a digression from higher education, but I felt it needed to be said, that it is our K-12 system, and frankly, our entire society, that underserves people who do not come from a middle class background, who cannot take on $20,000 of debt, give or take, and who come in from profound social, economic, psychological, cultural disadvantages that we cannot in higher education be fully expected to offset. And, if anything, a lot of the populist backlash we see against higher education is driven by that circumstance for reasons beyond our control and that aren’t our fault. There are huge numbers of people, white, black, brown, and otherwise, who are being. radically underserved by our public policies, who look at what they perceive as special treatment for ethnic and racial minorities by universities and wonder, why am I not getting that deal as well? It’s not the university’s fault for doing that. It’s the fact that we have left so many people behind. There’s a sentence in a book where I say, basically, universities and colleges are our welfare state. I’m a European historian. So in Britain, they have the National Health Service. In France, they have free childcare. In Germany, they have labor unions. In Scandinavia, they have a wall-to-wall set of services for everybody. We during the entire century, and in fact, the last two decades, after we began to dismantle the welfare state in the United States, have looked to higher education to counteract all the deficits in education, health care, unemployment, poverty abatement, you name it. And that’s admittedly a very long answer to your question that takes us very far afield, but I wanted to do what I could in the book to put that equity gap question into a really larger political and policy context.

John: There’s a lot more we can do at all levels to address those issues that we haven’t been. But let’s go back to an earlier topic, where you mentioned online education a couple of times. Was that really a very effective test of online education when we went online during COVID? Or was that a test of what happens when you have a lot of people who were unprepared to either take online courses or unprepared to teach online courses, who were suddenly thrust into an environment at a fairly challenging time, and it was a failure pretty much every way in which we could measure it. But there have been some studies that have found that prior to that point, online education did result in outcomes that were consistent with, or in the case of hybrid instruction, superior to those in terms of some assessments of learning, at least. Perhaps is the criticism of online instruction a bit overdone in general in society as a result of the experience of the pandemic?

Ian: The short answer is yes, I couldn’t agree more. I think that, if anything, the pandemic soured a lot of faculty and students on what had been and still could be a very promising set of pedagogies. I think the long and short of it was that, yes, we did learn that we preferred to be back in person, that probably would remain true even had we had time to prepare the best online pedagogy as possible. But the fact that we all rushed into it meant that we all did some version of a bad job, and I speak of myself and probably everyone else who had to learn these things very quickly. What surprised and disappointed me was that the reaction against online was so severe coming out. And I know that different institutions have had different trajectories, but at my prior institution, and also at UNC Chapel Hill, the moment that the pandemic was over, it was like, “Thank God, now we can go back to butts in seats,” [LAUGHTER] and we know that’s not the answer either. So I’m hoping that a couple years out, we were thrown in the deep end, into a very cold pool of water, and naturally we wanted to get right back out again. The silver lining is we’d learned that we could sort of swim, we could dog paddle, or at least keep our heads above water. Maybe now let’s go back and learn the butterfly stroke. Maybe let’s invest in online and particularly hybrid or HyFlex modalities that I think have enormous benefits. Some students learn better online. A lot of students would for reasons of convenience. They have jobs, they have other things to schedule. At UNC Chapel Hill, we’re growing the size of the undergraduate population, but we’re constricted by a very antiquated campus. Can we move some of those classes online so that we don’t have to build more classrooms? Any number of reasons to, I think, reopen the experiment on online education. I would say, in general, this is something I wish I’d developed more in the book, but I’ve been thinking about ever since, there are a lot of experiments in teaching that we were really excited about in the 2010s that came to a crashing halt during the pandemic, and it’s high time to sort of dust those off and make another run at the ones that at least were most promising.

Rebecca: So higher education institutions today are facing all kinds of new challenges related to, I think, what you would call, maybe the capital “P” of politics on higher education institutions and expertise more generally. We’ve got the enrollment cliff and a decline in the perceived value of higher education by a large share of the population. What advice would you provide to higher education administrators in addressing these and all these other new challenges.

Ian: Great question, and maybe I’ll disaggregate what I think are the real threats from the ones that are serious but not existential. So the enrollment cliff, for example, that’s real, We know that and different institutions are experiencing that differently. Flagships generally have the first pick of students, so even in states where the demographics are softening, they can still make their classes. Other institutions may have difficulty filling their classes in the first place, or at least filling them with qualified students. One lesson, and I don’t mean to be glib here, is that those challenges are a known unknown. They’re of the same kind, even if not the same degree, as we experienced in the 2010s in other circumstances. So I have a lot of faith in institutions to ride out that type of change. It won’t be easy, it will certainly be painful. It will cause layoffs and gnashing of teeth, but institutions are resilient, and one of the lessons of the book is like we can take a lot of blows of that nature. I’d also push back on the narrative that higher education has experienced a decline in perceived value. I think there have been political attacks that are very ideologically motivated, but if you ask the average parent or student whether college is worthwhile, not only as an investment, but as a life experience, most of them will say yes. To me, there’s a huge disconnect. I never run into students or parents who say, “I’m not coming to university because it’s full of woke crusaders.” I mean, they may believe that to be the case, but it doesn’t cause them not to sign up. [LAUGHTER] And in fact, I would argue it’s just not the case to begin with. So we’re experiencing a political crisis, rather than a crisis in public opinion. There are some good stories that are concerning that the value of a college degree in purely economic terms is softening, but that may be because the value of college type of skills, you know, being a welder or a plumber is experiencing a renaissance, or at least a rediscovery. That’s a good thing if we don’t have to require every student to go to college for four years, because it’s not for everybody. We should really help people, whatever their skills are. So that leaves the last bit, which is political attacks, and that’s where I’ve begun to feel that we really are at a different universe from the one we were in as recently as I would say, 2023. I was finalizing the conclusion of this chapter. I believe it was… well, early 2024 when we had the first round of congressional hearings into the war in Gaza and some of the flickers of McCarthyism that have since blossomed into a full on conflagration. And that’s not to take a stance on the war or on the prevalence of anti- semitism, but just to say that already, before the current administration came into power, there were indications that we are entering a new phase of McCarthyism, and I’m not a scholar of McCarthyism, but I feel like we are certainly well beyond that now, in the same sense that the wider scandals and crises engulfing our federal political system exceed Watergate by an order of magnitude. So I have to sort of live in this tension, as I’m sure all of you who are listening do as well. In my day-to-day life, I feel like I’m living in truth. Life goes on. Universities are wondrous things. They’re factories of goodness. And then I read in the papers outlandish attacks on things that are either being blown all out of proportion or are simply false. And all I can say from kind of my position in the trenches is that I’m going to try to save as much as I can for as long as I can, and try to let go where I can’t affect the wider discourse. For example, this is public, so I’m not divulging anything, and certainly not concealing anything either. There are a lot of state and federal mandates in the past year to eliminate DEI from the curriculum with no definition of what DEI even means. And so in a lot of meetings I have been in, and that’s true of many others, you’re trying to interpret a mandate that literally makes no sense. You know what’s behind it, but you don’t know how to respond to it. What does an executive order signed by the President of the United States really compel us to do and it’s unclear what direction we’re headed in. I don’t want to be pollyannish. I do think the lesson of the book was certainly the 2010s were a crisis, and we survived that crisis well. History never repeats itself exactly. So we could look back on the 2020s and say, “Well, we survived that too. We were steeled for what came after us by what already had come after us before. We had our muscles worked up.” Or this could be the end. [LAUGHTER] This could be the end of American civilization as we know it, or anything on the spectrum in between. It’s really impossible for me to say at this moment.

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

Ian: Yeah, so what I want to do is continue in two veins. One, I would love to do more advocacy and public communication of the sort we’re doing right now on this podcast. I hope people read the book, obviously, but I would love for it to become a platform for me to continue sort of speaking from the perspective of a faculty administrator working in the trenches and about all the good things that are going on in higher ed, despite the headlines we see. And so the second piece of it is to continue doing the work. I mentioned at the very beginning II did admin for a decade, I took a sabbatical, I wrote the book, then I moved to UNC Chapel Hill, doing a very similar version of the job I’d done before, because I just love this stuff, and if anything, I want more faculty to discover the pleasures of serving students, serving the research mission, doing the work in the trenches. It’s not always glamorous, but I will say, it’s the first time I’ve ever used my liberal arts degree as a liberal arts degree. I majored in history, and I got a vocational degree in history because I became a history professor, and it was only in doing administration that I realized that I have transferable skills that I learned from that that apply to whatever I wake up in the morning, and it’s a new problem I’ve never seen before, and I have to figure out. So when I sell the liberal arts to students and to parents, I say like “I discovered this late in life, when I was in my 40s, you shouldn’t have to wait that long.” But I guess the short answer to “what’s next?” is I’m going to keep on keeping on, and I hope that whether you’re a faculty member or a staff member or administrator in higher ed listening to this, you’ll do the same and discover more opportunities to network. And if you’re not in our world and you’re a little bit concerned about what’s going on, rise to our defense, advocate for us, or at least don’t leap to conclusions about what’s happening based on what you read in the papers. 99.8% of what’s happening in any public or private college or university in the United States is a good thing, full stop, and the more of it we can offer to more people, the better.

John: And I very much appreciated reading your book at a time when I was somewhat dismayed about the prospects for higher ed, the fact that we’ve come through some very significant challenges and actually made some substantial improvements in the role that higher ed plays in serving the public good, was very encouraging as a message.

Ian: Thank you. I have to read my own book for the same reason, because [LAUGHTER] it could get kind of challenging sometimes.

Rebecca: Sounds like an important one to have on the shelf, then, right? [LAUGHTER]

Ian: Well, the irony is, I couldn’t have planned this better. As you may have noticed, the University Unfettered is published by Columbia University Press, and I’ve been joking that this is the most outrageous publicity stunt in the history of publishing, because the whole thing around Columbia has just been manufactured to make my book look good. If only that were the case. [LAUGHTER]

John: If it sells well enough, maybe it can pay off the bribe they had to make in order to continue their existence.

Ian: I’m expecting at least $200 million in royalties from this. [LAUGHTER]

Rebecca: Well, thanks for joining us. It was a pleasure to chat with you.

Ian: Yeah, thanks for having me. I really appreciate it.

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

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

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388. The Opposite of Cheating

Student use of generative AI tools as a substitute for learning has led to increased concerns about academic dishonesty. In this episode, Tricia Bertram Gallant and David A. Rettinger join us to discuss why students might use these tools and strategies instructors can use to encourage academic integrity.

Tricia is the Director of the Academic Integrity Office at UC San Diego and Board Emeritus for the International Center for Academic Integrity. David is an Applied Professor and Undergraduate Program Director in the Psychology Department at the University of Tulsa. He is a Professor Emeritus at the University of Mary Washington, where he directed Academic Integrity Programs and the Center for Honor, Leadership, and Service. David is also President Emeritus of the International Center for Academic Integrity. Tricia and David are the authors or co-authors of numerous articles, books, and book chapters on academic integrity. Their most recent book, The Opposite of Cheating: Teaching for Integrity in the Age of AI, was recently released as the 4th volume in the Teaching, Engaging, and Thriving in Higher Ed series at the University of Oklahoma Press, edited by James Lang and Michelle Miller.

Show Notes

Transcript

John: Student use of generative AI tools as a substitute for learning has led to increased concerns about academic dishonesty. In this episode, we discuss why students might use these tools and strategies instructors can use to encourage academic integrity.

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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 Tricia Bertram Gallant and David A. Rettinger. Tricia is the Director of the Academic Integrity Office at UC San Diego and Board Emeritus for the International Center for Academic Integrity. David is an Applied Professor and Undergraduate Program Director in the Psychology Department at the University of Tulsa. He is a Professor Emeritus at the University of Mary Washington, where he directed Academic Integrity Programs and the Center for Honor, Leadership, and Service. David is also President Emeritus of the International Center for Academic Integrity. Tricia and David are the authors or co-authors of numerous articles, books, and book chapters on academic integrity. Their most recent book, The Opposite of Cheating: Teaching for Integrity in the Age of AI, was recently released as the 4th volume in the Teaching, Engaging, and Thriving in Higher Ed series at the University of Oklahoma Press, edited by Jim Lang and Michelle Miller. Welcome, Tricia and David.

Tricia: Thank you.

David: Thank you.

John: Our teas today are;… Tricia, are your drinking tea?

Tricia: I am, my standard tea of peppermint after lunch.

John: Very good. It’s one of my favorites. And David?

David: I’m a coffee drinker, I have to admit. But it’s a really good Sumatran.

John: Excellent.

Rebecca: Good choice.

John: And Rebecca?

Rebecca: I have Lady Grey today, John.

John: And I have an Irish Breakfast tea today.

Rebecca: Nice. So, we invited you here today to discuss the Opposite of Cheating. Could you tell us a little bit about the origin story of the book?

David: Sure. Well, Trish and I have been doing this work for a long time, both separately and together, and so as AI has really started to become a big issue, but even before that, when the pandemic hit, a lot of our colleagues have been asking us, what should we do? Oh, my goodness, our students are cheating, and Trish and I both sort of smiled separately and said, “Yeah, they’ve kind of already been cheating. You’re just kind of deciding to worry about it now.” This has been an ongoing and persistent problem for probably as far back as Plato’s Academy, if not further, because people are people and it’s a fundamental problem. So when Jim and Michelle came to us and said, “Would you consider writing a book for faculty that’s practical, that’s positive, and that really takes a keen eye on academic integrity?” we said “We’d be happy to.” So we wrote this book. We were kind of proud of it, and it was ready to go to the publisher pretty much exactly the same week the ChatGPT came out.

John: Nicely timed.

Tricia: Yeah.

David: Yeah, couldn’t have done it better if we tried. So the result of which being, we sent it to the publishers and to the editors, and instead of a two-week turnaround, there was about a six-week turnaround. And Jim broke the news to us and said, “You know, you’re probably going to have to rewrite the book,” which is, I’m sure, his favorite sentence to tell an author. But we did. We wrote the book, and as we did, AI grew faster and better and more accessible, and we learned more and more about it, and now I think we’ve got a book that can really be useful in an evergreen sort of way, because the principles we’re applying are not based on the tools that you see today. They’re based on the people who are using those tools, and the people really haven’t changed at all. And so we really hope this book will be evergreen.

John: And as you noted, students have always cheated to some extent, but there was a bit of an increase in that during the pandemic based on self-reported results from students in terms of academic integrity issues. Why did it increase so much during the pandemic?

Tricia: A simple reason. As David said, students are humans, and so if you think about a couple of things that were going on during the pandemic, if you were a student. One is, like everybody else, you were operating at Maslow’s bottom hierarchy of needs: survival, safety, security, that’s all that mattered at that time. Like integrity would be way, way, way at the top of that pyramid, so that was the first thing that was going on. The second thing was increase in temptations and opportunities. All the assessments went remote, and where before, there were proctors walking around the room, maybe checking your ID, maybe checking the authorized age you brought in, seeing if you brought something else in, all of a sudden, there was none of that. If you take our traditional age college student of 17- to 21-year old, putting them in that kind of situation, or putting any of the younger kids in that kind of situation, of course they’re going to cheat. It’s a lot to ask a student to resist those temptations, especially under times of great stress and pressure. So two things created a perfect storm.

Rebecca: Can you talk a little bit about, you’ve hinted at this already, but why students cheat in the first place, or maybe why they act without the integrity that we’re hoping they would act with?

David: Well, it’s a how long have you got [LAUGHTER] sort of an answer? You can break it down into two parts, though, and Tricia, pretty much already did. It’s the situation that they find themselves in, and the individual differences are the nature of who we are as people, and those are going to interact to create the situation where students cheat. Well, I think to take a step backward. The first thing to say is that almost all students, just like almost all people, if you put them in the right circumstances, will make a decision that they’re not proud of later. So it’s not as if we can just weed out the few bad apples and solve the cheating problem. Having said that, there are a few bad apples, probably about eight or 10% who use what we would call cheating as a dominant strategy throughout their higher education and probably throughout their life. Those are students, yeah, we really do want to try to weed those out. But for the other 80%-ish, some percent, I’m going to guess 20%, would never do something dishonest knowingly. Some of them still will cheat because bringing us to reason one, which is they don’t really understand what we expect of them, and that’s a situation that’s growing more and more as higher education becomes more accessible to people who don’t have the same background, values, cultures and understanding. This is a good thing, that higher education is more plural and more diverse, but it does change what our strategies need to be in order to help everybody be successful. And then you have the other situational reasons, things like it’s a lot easier to cheat in a high-tech environment in a lot of cases, so students are more able to do it. They feel like they’re less likely to be caught in those situations. And then you get into the interpersonal ones that I think are the most interesting, but I’m a psychologist, so of course I do, these are things like number one on the hit parade is peer pressure. Students are very sensitive to peer pressure and to peer motivators. If students think that cheating is acceptable, they’ll be more likely to do it. If they think it’s unacceptable to their peers, they’ll be less likely to do it. If they think their peers are using it as a strategy, students don’t want to be left behind, and so they’ll be more likely to try to cheat to keep up with the Joneses. So peer pressure, peer motivation is a big deal. Then you can add in things like, how wrong do they think it is? And different kinds of behavior are quite varied. This is where AI comes into play, because we’re all in a new frontier, and none of us really understand what AI is doing. I shouldn’t say none of us, but most students don’t really understand how AI works, and so they don’t really understand whether using it is inappropriate, and almost none of our students understand why we’re asking them to do the assignments. If they knew at a deep and intuitive level why they are doing what they’re doing in the way that we do when we create the assignments, then they could make a better evaluation about whether the tools they’re using are appropriate or not, but because they don’t know, we haven’t told them, and not all students are coming from a context where it’s automatically expected that they know. We’re left in a situation where students sometimes don’t think what they’re doing is actually wrong, although as often as not they do and they’re doing it because of things like time pressure, stress, desire to be successful. And there is more, but that’s a lot.

Tricia: In other words, I’ll sum up what David just said. They cheat ‘cause they’re human. [LAUGHTER]

John: And there’s multiple reasons. And one of the things you stated in the book is that there isn’t one solution to addressing these academic integrity issues, but there’s a right approach. Could you provide just an overview of an approach to try to address this collection of challenges that may lead to academic integrity issues,

Tricia: I think we would call it a teaching and learning approach, rather than a crime and punishment approach. So a teaching and learning approach means that we’re centering the faculty and the students in the conversation, and we are centering learning and what we can do to best facilitate, which is one job of the educator, and assess learning, which is the second job of the educator. And we often forget that second part. We like to focus on helping students learn, and we forget that assessing learning is a huge reason why students come to us. They need that degree. That degree is supposed to be a culmination of the assessments of learning that represents what they now know and can do. And so the approach is: focus on teaching, focus on learning, and part of that is focusing on good assessment design. So that’s the right approach. It does a couple of things. One, it’s less emotionally draining for faculty when they feel like they have to be police officers to catch cheating and to report it. That doesn’t sound like fun, and it doesn’t sound like what they signed themselves up for. But if you have them focus on learning, that’s like, “Oh, well, yeah, that’s what I signed up for. “So it feels better for the faculty, and it’s also, of course, better for the students, because they do want to learn. Yes, there are some, as our colleagues in Australia call them, enrolled persons in our school that do not want to learn. Put them aside. Like David said for a second, the rest of the students do want to learn. We’re humans. We love learning. We loved learning as kids before we got into school. And it could be that school maybe dampened that [LAUGHTER] love of learning a little bit, but people love to learn, and so having that focus says we’re in this together. And you know what, I am going to closely observe you to make sure that you actually learned what I think you learned or what you were supposed to learn. But it’s not to catch and punish you, but it’s to validate your learning and to ensure that you are making progress that you want to make.

Rebecca: You hinted at this already a bit about a misalignment between faculty understanding of what acting with integrity might be versus what a student might think. There’s a discrepancy there. Can you talk a little bit about why there might be this discrepancy, and then also how we might address it?

David: So we’ve already talked a little bit about the discrepancy in knowledge between faculty and students, and that we are not teaching mini me’s. We are an unusual subset of university students who go on to be professors, and we sometimes forget that they are not us. It’s also the case that the student population has changed in the time that a lot of us have been doing this. So we shouldn’t teach the students we were nor the students we had. We need to teach the students who are in front of us, and sometimes that means matching our expectations to theirs. It doesn’t mean changing our expectations, but communicating what ours are in a way that they can understand. So some of it is knowledge, but some of it is also goals, as Tricia alluded to. They are there, and I’ve asked them, to get a degree, to get a diploma, to get a good job, to make money, to have a place in society, and learning is a path to do that. And so we need to leverage their desire to do these things in an authentic and meaningful way….and yes, they do have that desire, most of them… by communicating the value to them of the learning that we’re asking them to do and the assessments that we’re asking them to do. None of this involves watering them down or dumbing them down or simplifying nor justifying your existence to your students. It involves helping them bridge the gap between their experience and yours, which is, of course, learning, such that they’re doing these things in a way that will prepare them best to be successful in the future, whether as professionals or as humans or as family members or as voters, whatever. And if we can persuade them that what we’re doing is worth doing, we’re going to at least give them the opportunity to act in a way that’s in accordance with our expectations.

Rebecca: Sounds very aligned with the TILT or the transparency and learning and teaching approach.

David: We’re not inventing anything new with respect to pedagogy or teaching. And in fact, I think, going back to the origin story question, from my perspective, our first concern when we wrote this book is, is there any audience for it? Because we’re not writing anything new. But then it kind of occurred to me, and I think to Tricia as well, we’re writing about teaching and learning for academic integrity folks, and we’re writing about academic integrity for teaching and learning folks. And so we hope to introduce some of the core concepts in these fields that we bridge to folks who maybe haven’t had the opportunity to bridge it in the same way yet.

John: It sounds as if one of the strategies you’re recommending is to help students see that education is valuable because of the skills they’re developing, and that it’s more than just getting that certificate at the end that matters, that if they don’t acquire skills, they’re not going to really be all that more valuable after they graduate, and just helping to align their values with the values that we hold concerning education. Would that be part of the message we’re trying to get across to students?

Tricia: Yeah, I think so, as I’ve been telling students of late, look, no employer is going to want to hire you if the extent of your skills is you pushed a button on ChatGPT and it gave you output and you handed it in, they don’t need you for that. These things are becoming agentic, and they can operate without any human intervention. So you have to bring more value to the employer than that, and so that helps to explain to them, one the importance of developing skills, but also of why we don’t allow them to use AI for every single assignment or every single activity. We still teach students basic arithmetic, even though there’s calculators, because there’s a belief or knowledge that learning that is helpful in order to better understand more complicated math you’re doing later, or just [LAUGHTER] to understand math. And so we have to figure out the same thing for students. And then second, it’s related to one of the causes of cheating that we haven’t mentioned yet, which is the extrinsic motivation, right? If I’m only motivated by the grades and the degree, I’m more likely to cheat, and if I don’t see the point of the assignment in helping me get there. And so raising students’ intrinsic motivations means we’ve got to really seriously rethink what we do in college and university. Are these learning objectives still relevant in the age of AI, and if they’re not, what needs to be updated? Are my assessments still relevant? So many courses require students to demonstrate their knowledge in writing. Why? Is writing really something that every single class needs to use as an objective measure of a student’s knowledge and abilities? Probably not. And so we really need to rethink some of those things to make everything more authentic and meaningful to students’ lives today, which will increase their intrinsic motivation and help reduce the likelihood that they might cheat.

David: We want to make it clear that learning objectives are where things should begin. It’s that classic backwards-design approach, and so Tricia says we don’t want anyone to think that Tricia is saying that writing is not important. The question is not writing is not important, the question is, is writing important to what you do? And that’s what for instructors to determine. Sometimes it’s critically important. Sometimes it’s just really useful. But at any rate, if you design your courses from the objectives back, then you can be really thoughtful about what you’re asking your students to do in a way that can incorporate AI when it’s appropriate, ban it when it’s appropriate, and be agnostic when it’s appropriate. But to focus on the learning… It doesn’t matter what you’re doing, focusing on those learning goals and updating what you do is maybe the other key theme. It’s not all about student motivation. You can’t design cheating out of a class, as our friend Kath Ellis likes to say, you can only design it in, so that’s one, and very important component, is motivation. Another is assessment, as Tricia said, and communication.

Rebecca: This emphasis on learning is certainly aligned with one of the strategies that you suggest around growth mindset. Can you talk a little bit about how to help students develop that growth mindset in this kind of a context?

Tricia: Well, we mentioned that in the book because it’s one of the pieces, as David said, we’re not introducing anything new. And so our book really isn’t about so much of how do you create growth mindset is thinking about, if we have a growth mindset about our students, that will change the ways in which we tackle the problem of cheating, and if we have a growth mindset not just of students in my content that I’m trying to teach, but in their ethical decision making. So a lot of faculty may start off thinking, well, these students are already adults. They’re 18 years old. They should know better. My job is not to educate people on ethics and morals, and so they think of them as having fixed mindsets. If they cheat, that must mean they’re a cheater, and therefore they need to be punished. And our point about the growth mindset is, in both of those areas, consider that your student still has a lot of room to grow in making ethical decisions, especially when under stress and pressure, especially when given temptations and opportunities, and consider that they still have room to grow in skills and knowledge that is related to your classroom as well. So it’s not so much that we present strategies to help them do that as here’s another way of framing your approach to the cheating problem that you might find helpful and enlightening and empowering rather than depressing, I suppose.

Rebecca: Sometimes that seems tied to this idea of an assumption that students need to come in with certain skill sets, rather than meeting students where they’re at and recognizing where they might be at around this particular idea of academic integrity.

David: Growth mindset really is bound up with another really important psychological concept, which is self efficacy. Students are much less likely to cheat if they think they can do the assignment to their standard in an honest way. If they think it’s impossible or too time consuming or unlikely, then they’re more likely to take a risky or a dishonest approach. And of course, if they come into a class thinking they can’t do it, and they can’t ever do it, then you have low self efficacy and a fixed mindset. And those are students who are either going to fail or cheat because they don’t see any other choice.

Tricia: Fail, cheat, or drop out. We’re going to lose them one way or another.

David: So the question is, are we educators, or are we cops? And if we’re educators or are we gatekeepers? And if we’re educators, then our job is to figure out how to get them to at least engage with the material enough to have one success experience and hopefully let that build to a second success. So one might argue, yeah, our job is not to make our students feel good about themselves, and I would actually agree with that, both halves of it, but it is our job to give students tasks that they have a shot at completing, at least to start out. Because we’re not gatekeepers, at least not mostly, we’re educators,

Tricia: Because our book is focused on instructors, and when we talk about it, can sometimes feel like we’re piling on instructors, that we’re giving them all sorts of advice, and there’s so much on their shoulders. And I want to point out that in our book, we also make sure we say, “Hey, institutional leaders, if we’re going to expect faculty to do all this, to make these changes, to adapt their courses and assessments to the age of AI, they need to be given the time, training, and support to do so.” We were not taught in our PhDs how to teach. Like K through 12 teachers were taught how to teach. We were not taught how to design valid assessments. And yes, a lot of us will work at some place where there’ll be a teaching and learning center that will have maybe two instructional designers or maybe one person, and they’re often focused on helping faculty create online courses, as if teaching in person is easier and everybody just knows how to do it. So as we’re giving all this advice to instructors, we’re saying here’s a menu of things we want you to think about. Choose what gives you agency, what empowers you now to tackle this problem? Choose something that you might do next year after you do some more research and institutional leaders, you need to give your faculty, time, training, and support to deliver on this new teaching and learning imperative for the age of AI.

John: We’ve done several podcasts with Elizabeth Canning, and she’s done a fair amount of work on the importance of both instructors having a growth mindset and in building that growth mindset for students, not only does that tend to benefit all students, it tends to also reduce some of those equity gaps. So we’ll include a link to those podcasts and some of the resources there in the show notes as well. With the introduction of AI, a lot of faculty panicked, but I don’t think, from what I’ve seen of surveys, student cheating continued, but it didn’t seem to really increase. The surveys that I’ve seen have indicated that was mostly a shift in the type of cheating. Instead of subscribing to Chegg or other services, students were perhaps a little bit more likely to rely on AI to do some of that, and faculty, though, seemed to be much more concerned about this type of academic integrity issue than with previous ones. What can faculty do to address the issues with AI? You mentioned before that one issue is, some things can be done by AI. Some things can’t. What can we do to help faculty, perhaps, discourage inappropriate use of AI?

David: I think it’s all the things we’ve already talked about. Start by making sure you understand as a faculty member why you’re banning AI or what the rules of engagement are. Is it a knee-jerk reaction. Is it fear and ignorance, or is it a principled approach based on the learning goals of your class? Then, once you’ve done that, and if you’re confident that your approach to AI is based in the learning objectives of your course, make it clear… to start within the syllabus, but I would say with each assignment that you write create some sort of meaningful engagement with AI for your students. I don’t mean have them use it, but tell them what the rules of engagement are for every assessment and every activity in the course, and why it is what it is. And I don’t mean a defensive “why,” because we ban AI when we’re asking students to do fundamental skill-building tasks that will ultimately benefit them in the future, as they try to do more complex tasks, as a general rule, and we allow AI when that AI is enabling them to demonstrate the knowledge that they have in other ways more clearly. And so I think figuring out why you’re doing what you’re doing, telling students when it’s appropriate and when it’s not and when it is appropriate, I think it’s incumbent upon us to learn how to use these tools appropriately and teach our students how to use them appropriately as well. There’s a number of really useful research tools out there, for example, that I don’t think anyone would question the ethicality of using if you use a Google search, you would probably should also be okay with using an AI-aided Google search as an example. So we should start with thinking about it and then talking about it and then doing it, I would say.

Tricia: We encourage, really in the book, communicating with your students. So that means asking them, what tools are you using? How are you using them? How are you finding them helpful? How are you not finding them helpful? Hey, you know how faculty always complain that students don’t read the syllabus right? And they complain that they don’t look ahead, they don’t plan ahead for all the assessments in their class. So let’s look at the syllabus together. Here’s all the assessments or activities we’ve got coming up. When do you think it would be ethical to use AI or in what ways? And when would you think it not be ethical? When students hear each other talk about this, whether it’s asynchronously on a Google Doc or in class, again, pure norms… they start to say, “Oh, so I’ve got my peers saying I shouldn’t write my first draft of my paper with AI, interesting.” That lands different than it does when the professor just says, “Don’t do it.” And then the second thing is, if you’re going to say, don’t do it, you better secure that assessment. So if you are on a diet and you’re trying to not eat any sugar, you do not put sugar in your kitchen. You secure, you lock that baby down, right? And you say, like, that cupboard has no sugar in it. And yet again, we tell students not to use something. And then we say, now go take your exam unproctored at home on your computer [LAUGHTER], and it’s a dereliction of duty. And so we really do have to decide. If we’re going to ban it, it needs to be a secure assessment so we can actually enforce that, and so students don’t feel like you told us not to use it, but everybody’s doing it anyway. So this is not fair. So those are two things I would add to what David said.

Rebecca: One of the things that we often find students focusing on is grades and maybe not always learning. And obviously this conversation is focused a lot on the learning aspect, and even with the idea of assessments, kind of talking about some of the values of those assessments. Are there other approaches, like alternative grading, or other things that you might recommend that might help shift that perspective?

David: No… just kidding. I’ve tried them all. I haven’t tried ungrading, but I’ve done all of them, and I love some parts of all of the different alternative grading schemes, and really don’t like some other parts. So I’m loathe to recommend anything to anybody else beyond stay open-minded and then ask what grades are really for in your context and institution. At elite institutions, I think that they really do play a different role than they do at open admissions, broadly serving institutions. And so I’m not going to sit here in my office and tell anybody how to do anything in their classes, particularly grading, but I will suggest that you rethink how important grades are in your courses, and how important you communicate about grades in your courses. When students are pitted against each other for points, when faculty talk about the points and the grades and the numbers instead of the learning and the outcomes and the processes, students internalize that, they absolutely do. I for one, have shifted away from rigidity in my courses to flexibility with all sorts of things with respect to grades. So a simple example of this is the redo. I’d call it a mulligan, but I don’t think any of my students would really understand what that means. So in one of my project-based classes, they get two redos, plus they can earn one by actually reading the syllabus and responding to an Easter egg in it. So they get three to start. And then if I need to give extra credit, I can give an opportunity to earn more redos, rather than just giving away points. Those redos do a million different things, but one of them is they build in the possibility to fail. They allow students to try something they’re not sure they can do in a way that completely crashes and burns. And I tell them, please crash and burn at least once. It means you got out of your comfort zone, and it’s free, it costs you nothing. And that gives those students who maybe are concerned about engaging and concerned that they can’t be perfect to their own standard, a chance to give it a shot. And of course, more often than not, they’re better than they think they are, and they often don’t even need those redos by the end, but they took the chance. And you can also use a redo in my class, by the way, to get an auto extension so you don’t even need to ask for it. You just can use a redo for that. And then the flexibility means that you have that student who might be failing a class after the first assignment suddenly is still in a position to get an A as long as they don’t do it again, and it just opens up a world of learning opportunities for your students, and at the same time, reduces their desperation levels. And desperation levels are completely correlated cheating. Those kinds of flexibility, whether it be in the structure of assignments like redos, or whether it be something like specs grading, where you can take a look at bundles of points and give students the opportunity to demonstrate their learning in ways that make sense to them. Ungrading has its challenges as well as a wholesale change. And I say, go for it if you have the time and the motivation to do it. But whatever you do, think about flexibility and think about ways to lower that student desperation.

Tricia: And David’s answer there, just reminds me of something that might be important to say in terms of our book. This is what our book is. Our book presents you with multiple options. So as David said, we don’t tell you you must do ungrading and that will solve the cheating problem. We say, “Think about grading. Here’s all the options.” And we use a lot of storytelling from both of our experiences and the experiences of others in the book to illustrate, to provide that anecdotal data. And that’s what this whole teaching and engaging and thriving series in higher ed is about, is these practical books full of research-backed, theory backed-strategies, along with personal stories. And it really is just a menu of things. I think we’d be really firm on a couple of things, like you have to secure assessments if you’re going to ban AI and you really need to communicate with your students. I’ve talked to hundreds of students now about Gen AI misuse, and a lot of them just said, “I just wish our professors would be more clear on what’s allowed and what isn’t. I just wish they’d be more clear.” So those might be the two things that we’re really only very firm about that you really should do everything else is a menu of options.

John: You mentioned securing assessments. The share of students taking classes remotely has grown pretty rapidly since the pandemic, which raises a lot more concerns with this. And there’s also concerns about proctoring services in terms of Fourth Amendment issues and legal issues associated with that. What sort of advice would you provide for people teaching online classes in addressing the use of AI?

Tricia: Yeah, I’ve said a few times now on LinkedIn and social media, online learning can continue. I don’t know that online assessments can continue, at least not if they have to be secure. There’s those proctoring companies that have their own concerns. We’ve got deep fake. We used to say, “Oh, just have Avixa, have an oral meeting with the student where they tell you what they know” …they could deep fake it. Or Derek Newton just showed us at the International Center for Academic Integrity conference in his keynote that there’s just even software to make it look like I’m looking at you taking my test, but I’m really looking up here at my notes. And so even doing those kinds of checks on knowledge are going to be super difficult. One thing that we’re doing here in the University of California system is we’re looking at computer-based testing facilities. Now this is not our idea. University of Illinois, Urbana Champaign started this a while ago. Faculty created an assessment platform called Prairie Learn. So the great thing about Prairie Learn is it does allow mastery-based assessment because it helps you individualize the assessments, and so students can take them over and over again until they master the learning objectives to the level they hope or that we want them to. But also, in a computer-based testing facility, we take tests or assessment administration out of the hands of faculty and TAs who, frankly, their time could be better well spent engaging with students, teaching students, coaching students, tutoring students. And the students come in, we make sure it’s the student who is enrolled in the class is the person actually taking the test, and then they have no access to anything they’re not supposed to have access to. And we’re looking at building those out across the system, and then having an agreement with the Cal State system and the community college system so that any of our, at least California, students who are taking online classes could easily still accessibly transport themselves to a local in-person assessment. Now, the other thing we wanted to make sure when we talk about this is something that another Australian colleague, Phil Dawson, talks about, is probably not every assessment in every course needs to be secure. And we got to start maybe thinking at a programmatic basis, what do students need to know and be able to do by the time they finish this program? At what points do we need secure assessments to make sure they’re hitting those benchmarks? And then, if they’re not hitting those benchmarks, how can we help them catch up? And so I think we just need to rethink how we deliver [LAUGHTER] curriculum and how we assess whether students have met those learning objectives. Another Australian colleague…. we keep always citing our Australian colleagues because they’re brilliant… but Kane Murdoch says that’s like putting a bandaid on an amputated limb. It’s just not going to work if we just try and tinker around the edges.

David: To cite another one of our Australian colleagues, you want to take a Swiss cheese approach to academic integrity, because no one thing will work. So start by building a basis of integrity, by communicating integrity, building dynamic, interesting, and relevant courses for your students, just like we’ve been talking about. But then some assessments that you give them will need to be secured, as Trish said, not all of them do. You can think of it as sort of a division between formative and summative, but it doesn’t quite necessarily have to break down exactly that way. But when you’re getting to those big summative, high-stakes assessments where you’re making sure people can actually be effective doctors or engineers or even psychologists or teachers, it doesn’t really matter what it is, everybody should be able to demonstrate those skills and knowledge. That’s when you have to start using series of other options. So that might mean a technological option, especially in online courses, technology is going to have to play some sort of role, but today, you can probably secure an online assessment at the margins, but still, anybody really motivated can probably work around it. In five years, most elementary school students will be able to work around it. So yeah, I think even if we can secure online assessments today, and that’s an if, we will not be able to secure them long term, and not even the new, clever assessments that the technology allows for. Eventually, we’ll get to a point where AI is testing AI, and people won’t be in there at all, unless we choose to make it so that we’re in there. And that means more human time for us as instructors and assessment creators, and more human time for the students as well.

Tricia: And when we think about it, what do students need us for? They need us for human-to-human interaction. They need us to develop skills and knowledge experientially in solving problems. They do not need us to deliver information. And when you think about it, online learning was really a way to deliver knowledge to people. My master’s was in rural extension studies. How do we deliver knowledge out to everybody, whether they can come to campus or not, and we’re just not in the business of delivering knowledge anymore. We’re in the business of creating knowledge. We’re in the business of co-creating knowledge. We’re in the business of human-to-human interaction. So if we want students to give us money for something other than a piece of paper they get in four years or three years, then we need to provide them with something that AI can’t and what is that one thing? It’s interaction with other humans. It’s learning with other humans. And I thought maybe this is a good time. My tea is Yogi Tea. It comes with quotes, and I just think it’s so fitting that this is the one tea bag I just pulled today. And the quote is, “we can always start again.” And really, at a higher education college, we need to start again. And that sounds very painful, but we have to start again in thinking from scratch of what are we offering, what’s our value to students and to society in the age of AI.

Rebecca: Part of that seems like we all start again as instructors as well, and make sure that we’re familiar with how AI can help us and help our students, instead of constantly fighting it, like better understand what some of the possibilities are so that we can do that redesign work.

David: I don’t think anyone said yet in this podcast, rearranging the deck chairs on the Titanic, but I think it might be time to say that. You should buy our book and you should use the techniques that we suggest, but unless post-secondary education makes some fundamental changes philosophically and practically, that’s what we’re doing. We need to recenter humans in what we do, and we need to offload the parts that we can offload. AI is going to be an incredibly powerful tool for us as teachers, just as it’s becoming for assessment takers and hopefully learners at some point as well. So we need to figure out how to deliver the value that Trish is talking about.

John: When I give workshops to faculty, I’ll often remind them that we need to teach students for their future, not for our past, things that worked for us in the past in the world before, AI may not work so well, and there are a lot of people out there trying to find ways to integrate AI into this, because students will be working with AI in the future, and they have to be able to add some value to that. And if we can somehow assess your ability to go beyond just AI, perhaps that might be a direction that’s worth exploring. And there’s a lot of people trying to work on that right now. Is that something that might be a way around some of these issues?

David: Yeah, I think it’s exactly what we’re advocating for, which is to build assessments that allow AI to be used in a way that is fair and equitable and clear and that allows us to see what students are bringing to the material over and above those same fairly used tools that everyone else. Having said that, there’s also going to be those assessments and those skills that you really need to be able to use without AI, because those are the bedrock, foundational skills, and also the things that you simply don’t want to trust AI for. Computers don’t, and probably won’t for a while, have the ability to do intentionality. They don’t understand that there’s a physical, real world out there. They are living in an electronic world, and so that means you can’t ultimately trust them with ethical choices. So that’s on us to make those ethical choices and to use machines in ways that are ethical, and that’s going to always be, at least for my lifetime, a big part of what we’re teaching our students to do.

Tricia: And I also think that when faculties play with the tools, they have to remember that they are experts in the discipline, probably in what they’re asking the AI tool to help them. And so the other thing I’ve heard, some mistaken conclusion is, “Oh well, I found it very useful for helping me write, so I’m going to let students use it to help them write.” They’re novices. They’re novice writers compared to faculty, they’re novice in your discipline, they’re novice in the content. They’re novice at a lot of skills that you may have been working on, and so how they should be using it, or how you need to scaffold or coach their use in it, is very different than how you would use it. It’s important for us to keep that in mind, that we have to think again, like you said, the future, right, for their future? Well, what does the future look like? Because right now, we only know how AI is beneficial to people with expertise who didn’t have it and developed all these knowledge and skills without it. How do we prepare them for that? If we just allow them to offload everything to AI, then will they be able to use it in any way that’s meaningful?

Rebecca: That seems like a really good note to get to our last question, which is we always end by asking: “What’s next?” [LAUGHTER]

Tricia: That’s a big question.

David: What’s next is change, that I can promise you. We’re at an inflection point, and this change has been coming for a while. COVID, we thought, was going to be the impetus for that change, and maybe it would have been without Gen AI, but there’s no doubt that Gen AI is going to be the impetus for a huge amount of change in almost any part of our lives. But I think that education is going to be the pointy end of the spear with respect to that, and you can think of it from just one little example, which is the intellectual power of writing. Writing, until now, or rhetoric, maybe more broadly, has been the way that we’ve honed our ideas as humans. It’s the way that the late, great Frank Yates, who taught me undergraduate psychology, said writing is nature’s way of telling you how unclear your ideas are. And that’s true of all rhetoric, and it’s actually a fundamental fact about our lives as intellectuals up until now, but suddenly it’s possible to create a coherently and sometimes even well written document without understanding what you’re writing. That’s what Gen AI does. Is this a good thing or a bad thing? Well, hard to say, but it’s a new thing, and it is what’s next. And so the question is, what is the next generation of intellectuals look like when they don’t have to write to think? I don’t know what it’s going to be, but it’s going to be a bumpy ride getting there.

Rebecca: It’s a good thing. You said you were leaning into flexibility, huh? [LAUGHTER]

David: It’s really the only choice. It’s amazing what you can do when you have no choice. [LAUGHTER]

Tricia: I have nothing to add there. That’s a great answer, and I think I’m just gonna upvote what David said. [LAUGHTER]

John: Well, thank you for joining us. We strongly recommend that people take a look at your book, because everyone in higher ed is addressing these issues, and it’s a really nice resource that’s very timely. And thank you for joining us.

Rebecca: Yeah, thank you so much.

David: You’re welcome. Thanks for having us.

Tricia: Yeah, thank you.

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

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

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386. Critical Thinking in the Age of AI

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

Show Notes

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

Transcript

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

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

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

John: …and Rebecca Mushtare, a graphic designer…

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

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

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

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

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

Rebecca: Nice. How about you, John?

John: I am drinking a pure peppermint tea today.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Michelle: Thank you. You as well.

Rebecca: I look forward to your upcoming work.

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

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

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

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

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

John: …and Rebecca Mushtare, a graphic designer…

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

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

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

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

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

Rebecca: Nice. How about you, John?

John: I am drinking a pure peppermint tea today.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Michelle: Thank you. You as well.

Rebecca: I look forward to your upcoming work.

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

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

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383. Navigating Choppy Waters

Most faculty receive limited information on legal issues associated with their role. In this episode, Kent Kauffman joins us to discuss a new resource he created to help educate faculty on their legal rights, responsibilities, and liabilities. Kent is an Associate Professor of Business Law and MBA Program’s Faculty Liaison in the Department of Economics and Finance at Purdue University. He is also the author of Navigating Choppy Waters: Key Legal Issues College Faculty Need to Know.

Show Notes

 

Transcript

John: Most faculty receive limited information on legal issues associated with their role. In this episode, we discuss a new resource designed to educate faculty on their legal rights, responsibilities, and liabilities.

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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 Kent Kauffman, an Associate Professor of Business Law and MBA Program’s Faculty Liaison in the Department of Economics and Finance at Purdue University. He is also the author of Navigating Choppy Waters: Key Legal Issues College Faculty Need to Know. Welcome, Kent.

Kent: Thank you. Thank you very much for having me today.

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

Kent: I am drinking a tea, and my tea is what’s called Constant Comment. And I thought that would work for today. And my wife has told me that when she was a small child, her grandfather used to call Constant Comment Tea, blabbermouth tea, [LAUGHTER] which is something I hope not to be on your podcast today. [LAUGHTER]

Rebecca: I love this story. [LAUGHTER] How about you, John?

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

Rebecca: That’s nice. I have a cinnamon tea.

John: Very good. We invited you here today to discuss your new book, which addresses all sorts of legal issues that faculty are concerned about much of the time, but really don’t have many resources on that. So why are there so few resources available to faculty on legal issues that faculty may face?

Kent: Thank you for asking that question. It is something I’ve thought about as well. And if you think about the legal books that are out there that are education related, they’re often called Education Law, and they’re usually textbooks for people that are wanting to be Principals, and they may be in a master’s or a doctoral program, and may take an education law course, often taught by an attorney, unless maybe that’s a law professor on campus. And those books tend to focus on institutional issues related to K through 12 schools, and they’re often tort law related, and they may relate to FERPA matters of student privacy and almost how to protect the institution from liability. But for faculty, there’s not much that I would call personal law for you at your job, and I think there’s perhaps two reasons for that. One is, at new faculty orientations, those are often run by either HR or some arm of an HR department, and HR… fine people, not casting aspersions… but they look through their work life through a different lens than faculty do. So often when it comes to the legal matters that may be discussed at an orientation for new faculty, including part timers, who are often left to fend for themselves, is basically, “don’t discriminate, don’t harass, and make sure that you don’t violate FERPA. Have a good semester or a good career.” But for faculty, the issues that really face them aren’t discussed, and I don’t think that the academic profession has caught up to that, to the way that other professions have. So that if you’re an attorney or a doctor or an accountant or some other professional, you might be thinking about how is what I’m doing at work with these people, clients, and often whether we think of students as customers or clients, or however we fashion that relationship, they are someone with whom we do our work regularly. And then with our colleagues, there are liability issues. And I think it’s also just a matter of perhaps this profession having pocket examples of something that’s scary, almost like “I heard of someone who saw Bigfoot,” but not thinking, “I live in that neighborhood too, maybe I should be aware of those issues.”

John: And I think in your book, you also noted that faculty are often reluctant to go to HR. Why might there be this resistance to use HR resources by faculty? Could it be related to the fact that they’re the people who gave them the contracts, and they’re maybe reluctant to reveal something that might be perceived as a shortcoming?

Kent: I think an HR professional might, hopefully gently, disagree with me on this, but in my view, absent there being an ombudsperson where you work, and an ombudsperson is really a neutral person at work given administrative authority to deal with employee-employer conflicts. Absent an ombudsperson, we have to ask ourselves, where does this person I’m talking to for help get their paycheck from, and HR works on the administrative side, and I think when you realize that you’re being told by HR what to do and what not to do, if you have a question, or, more importantly, a concern that is legal related, your first thought might be, well, if I go to them and they’re the ones in charge of hiring me, then I’m sort of like, blowing my cover, if I have something that’s transparent I want to share, and I don’t feel comfortable sharing something transparent because it could come back to bite me. So I think that’s an issue to think about, is like, if I share something, this may not be safe. I don’t mean just from a legal standpoint, because what people should realize is that, unless you’re talking to your own lawyer, anything you say to someone else’s lawyer is not confidential with respect to you, and so that legal connection to your employer through HR isn’t intended to be protective of you. So I think there’s a fear standpoint and a question of, if I do this, could this make my situation worse? Maybe I just won’t talk about it all. And for me as a man, I’m just sorry to say this, I apologize, but we often put our heads in the sand and hope that maybe it’ll just go away if I don’t think about it. So I think that there’s part of that going on for faculty.

Rebecca: So your book is organized in seven chapters, and each one has a different legal issue assigned to it, and there’s a lot of examples throughout each of those chapters with resolutions of cases interspersed throughout where you’re asking the reader to think about making the call on a decision to the case. Can you talk a little bit about why you organized the book in this way? In some ways, it kind of does some pre-testing throughout the book. Can you talk about the format and why you made some of the decisions you made?

Kent: I think that first of all, my working life is trying to teach the law to people who, most of whom, are not planning on going to law school and so not working in a law school environment where I’m teaching students who actually intend to either complete a law degree or become attorneys. I’m teaching the law to non-lawyers as undergraduate and graduate students who don’t have, many of them, an intent of doing what I do for a living or getting a law degree. So I’ve always tried to stress in my teaching, how can I not dumb down the content but make it accessible? And I think the law is either extremely boring or it could be really interesting. And one way that the law can be interesting is through narrative. And case law provides stories. And if you can find good cases, cases that apply to your topic and have a unique fact pattern, then it creates that neuron connector to remembering the content, because it connects to a story. So I like stories, and even though I can say I’m young enough to not know when Perry Mason was first on TV, but I’m old enough to know when Perry Mason was around on syndication. Every Perry Mason, the first TV lawyer… every Perry Mason episode starts with “the case of” and as a child, I liked reading Hardy Boys mysteries. If you know those childhood mysteries, they’re always like “the case of,” right? And so I just thought that: 1, providing readers a chance to find at the beginning of each chapter, but then interspersed through the chapters’ narratives and asking them you decide based upon the clues. Every good mystery should have clues provided to the reader or the viewer or the listener. The clues are in the paragraphs, and at the end, I’ll give you that story again. You tell me what you think the outcome is, based upon the clues provided… hopefully, they’re not mysterious clues… [LAUGHTER] but they’re clearly explained, but I don’t give the answer throughout the chapters, and that might allow you to more critically apply that content. Secondly, one thing that’s great about the law is you can always say I was never wrong. You can always say I was in the dissenting opinion. So you can say I don’t think that that case came out the right way, even though it looks like I was wrong. I applied the law. Because legal principles should be generally agreed upon and neutral, but we might apply them differently. So I think there’s a learning component to that style of writing the chapters the way I did, and hopefully there’s an interest component as well. And then, like you mentioned, pre-test, post-test, it’s a really interesting teaching technique to ask people at the beginning to determine something they might not know the answer. And so they’re using their instinct or their gut, and then we can give them a chance at the end to say, go back and reassess your initial answer. Has it changed based upon the content? So hopefully it provides also a palette cleansing method of reading the book, where legal books can almost become not just monotonous, but they can almost induce a brain tumor, where it’s just words after words after words, and you’re thinking, This person is writing for themself. They’re just writing for themself. And I’m trying to write something that is intended for the reader. And I think sometimes the narrative cases I provide in the “you make the call” features, just cleanse your palette and let you catch your breath before going on to another part of the chapter.

John: And it prepares you for thinking about it, and you’re waiting to see what conclusion the courts reach, which is very much like those old Perry Mason episodes, where all of a sudden there would be this surprise decision at the end, or new evidence would come up that would resolve that case.

Rebecca: I love all that suspense. Speaking of narratives, in the first chapter, you tell a little story about the first time grading a student exam, and what the student response was to this, can you share that story?

Kent: Yeah, a lot of life is trial and error, and for me, a lot of my life is more like error and trial. And so I was a recent law school graduate, pretty recent, and I had been not hired for a job I had been hired for due to a federal hiring freeze. So I was working in a factory making, I think, less than minimum wage. I think they were cheating on the pay. And I tried to find jobs, and fortunately, found some part-time college teaching jobs that I had wanted to do sometime later on in my career. And I was working at two different colleges. And at one of the colleges, I was teaching criminal law, which was right up my alley. I love that subject, and I was eager to do this thing that I had enjoyed being in a student in a law class. This was a brand new program at this college. These students had a new department chair who did not have a background in academia. He’d come from private industry, governmental work, and he had been giving them something I didn’t even realize, which was practice quizzes or practice tests. And you might know this, but in law school often, not always, but there is one exam at the end of the semester that determines your entire success or failure in that class. And I wasn’t doing that, but I was doing something that I had done in law school, which is the anonymous graded exam, but I didn’t give them practice exams, and when they asked for them, that seemed almost like a foreign language to me… a practice exam? And I was so busy anyway, so I didn’t have time to grade practice exams. So I immediately said, like, “No, practice exams, it’s not a practice driving exam. We’re just doing the test. And I don’t know what had happened. Maybe I was just simply, first of all, too green for my own good, maybe too eager to be law school like but it didn’t go well. And I was accused of grading people unfairly, not just wrongly, but unfairly. And the department chair, having no background in academia and no legal background, he kind of implied to me that I should be very frightened by these accusations, and I had no idea what was going on. Because my tests were anonymous, I didn’t even understand how it could be unfair to someone unless there was a number I didn’t like, like, “Oh, you had number 12, and I never liked being 12, so I’m gonna grade your test really hard.” To me, It seemed impossible how I could be unfair to people whose tests I didn’t know who they were. And so it was really frightening. I might have quit that job right away, had I not truly needed the money for groceries. And my other experience that same semester was positive, and so having a mentor who helped me as a part-time faculty member just learn the ropes as to what it means to try to teach college students, was encouraging to me, but that bad experience really sort of impelled my curiosity about what it means to think about the risks that are attendant to professional decisions that faculty make, particularly part timers. I’ve always been concerned for part-time faculty, because I was one. I know what it means to be one, and so you sort of identify, maybe through life, with that early experience, and my experience was not easy. It was difficult. I took any class I could teach, anywhere I could teach it, often at night, so most of my classes were at night and with students that perhaps weren’t sure if I knew what I was doing. So I have a sensitivity to part-time faculty and how maybe they don’t understand that there are positive things to think about legally that protect them in their professional decisions.

John: One of the issues that a lot of faculty have been concerned about for the last couple years has been the growing use and proliferation of AI tools that many students have adopted to either assist them in the work or to do much of their work for them, and this is bringing up a lot of questions concerning academic integrity. And some faculty are very reluctant to address or to penalize students for suspected integrity violations, because you cannot prove that something was created by AI. And yet, there’s other faculty who routinely accuse many students of academic integrity violations based on sometimes remote suspicions of AI use. What advice do you provide for faculty who are facing suspected academic integrity cases involving the use of AI?

Kent: I don’t want to seem like I don’t care about academic integrity, because ethics is something that I teach specifically and in the graduate world as well, and in another life, I’ve written a legal ethics textbook, and so I take ethics very seriously, but it may sound like I don’t in light of my answer. First of all, there’s only so much time in the day. And one thing I tell my college students is that you know you’re an adult when you realize you have more things to do than the time to do it, and then you begin prioritizing what’s at the top of your list to get done. For a full-time faculty member like myself who has expectations of research and publication, service expectations, some administrative expectations, and then the teaching load, and regional campuses often have a higher teaching load than main campuses or Research I campuses. Where I have time in my day to place Sherlock Holmes and detect cheating, I don’t have much time for that, so that’s the first starting point. Secondly, AI has provided a new mechanism for both cheating and cheating detection, but it also provides a mechanism for humanizing your AI use so that it appears that it was written by a human and often the same AI detection software companies are providing the AI humanization software technology as well, which to me is if a police officer was selling you a radar detector. So it’s a very confusing world. So I start with this: AI detection is based upon how AI works. And to me, AI is basically the world’s most gifted Mad Libs book in which it’s predicting the next word… fill in the next word… based upon the fact that, and this is a whole other copyright issue, what’s called web scraping, where AI systems are just like a gigantic reverse hose vacuuming up the world on the internet. And then, it’s called fine tuning, training their systems to get used to words and common words. So if I said to an AI system, “I would like a cup of…” they’re gonna say “coffee,” because that’s been fed into their system so much. But what if I’m about to go fishing, the word should be “worms.” “I’d like a cup of worms,” right? And so AI is like what seems natural based upon what we’ve been trained to say. And AI detection, in my view, and I’m not a computer scientist, works in reverse of that, and it’s based upon what’s called perplexity. And the lower the perplexity of the language a detection system is noticing, and that means how common the language is, which is why the Constitution has been flagged as being written by AI. If you think about how 18th-century writers with quill pens were flagged as being AI written. It’s because the Constitution has become so ubiquitous in AI systems that when they see that language, it looks like a computer wrote it. And so the danger with AI detection is that if you work, as I do, for a state university, you owe your students a higher level of protection, due process protection, because we’re an arm of the state government. A private school, university or college, doesn’t owe students anything beyond contract-provided protections or what would violate what’s known as the “arbitrary and capricious” standard. So I have to be on very, very strong ground on which to accuse a student of cheating by use of AI. But to me, AI detection is almost as if the AI system is looking into a pool of water, and if they see a reflection of themselves, they say that was written by myself, right? And another problem is burstiness. So burstiness is where AI detection systems look for the lack of monotony in the sentences or the structure of the words of the paragraph. So if you think about someone who might be a monotonous speaker, if they’re a monotonous writer, the same looking sentences, the same way of verbs and nouns coming together, that flags an AI detection system, because that’s not bursty. So between all those problems and then the later problems of privacy and FERPA issues, should I feed my students work in an AI detection system? Is that really fair? I would just say that never make an accusation based upon what an AI detection system has told you. That may be grounds for further investigation. But if you work at a state university and you accuse someone formally of cheating because an AI detection system has said they’ve cheated, you’re basically accusing James Madison of cheating as well because his Constitution was flagged for AI. And I’m not saying students don’t cheat, because grown ups and professors cheat as well. What I’m saying is ask yourself, how would you in a worst-case scenario defend your action on the grounds that it was reasonable and not violated a student’s right at a public college. At a private college, again, the question should be: “Am I treating them fairly?” So another thing to bear in mind, if I can just add this, there’s a lower standard required for faculty members when they determine a student has performed poorly academically. So if I give a student an F and they fight that, the legal standard is way in my favor. If I tell a student they’re getting an F for cheating, as opposed to poor performance, then that standard is raised for me as the accuser. So a professional decision based upon poor performance puts a faculty member on a stronger legal ground than a decision that’s based upon accusing a student of cheating. And it isn’t to say students don’t cheat. It isn’t to say that students shouldn’t be caught cheating. But I think there should be sort of a triangular approach of maybe someone else should read this as well. What do they think? And then can I ask the student to support their work, or is it better off to say this doesn’t seem like your writing. I’m not certain what’s happening here, and maybe just that sort of concerning statement early on might prevent it from later happening. So I do care about cheating, but I do care more about fairness to the students and then the risk that I might involve. By way of example, there’s a famous case where a professor put their students’ work into ChatGPT… well, ChatGPT isn’t meant to check for cheating… and accused students of cheating because of ChatGPT. And again, is that fight worth having based upon what a computer is telling you has happened? It’s a cause of concern for me.

Rebecca: So along those same lines around FERPA and intellectual property, some faculty are also beginning to use generative AI tools to evaluate and provide feedback to students. Can you talk a little bit more about intellectual property and or FERPA issues associated with that practice as well?

Kent: Sure, one of my favorite cases related to intellectual property is one of the weirdest lawsuits ever, where a British photographer was sued by PETA (People for the Ethical Treatment of Animals) in an American court over his book of selfies taken by Indonesian monkeys and the formal name of them, I just can’t pronounce accurately, but the court called them monkeys, so I’m going to call them monkeys. And so you had an organization suing on behalf of an Indonesian monkey in an American court over who owned the copyright of a selfie taken by a monkey with the camera of a photographer. And the upshot of that case is, rather than Solomon splitting the baby in half, he sent everybody home, and the judge said to PETA, you can’t bring this lawsuit because you can’t sue on behalf of the monkey. And he said to the photographer, you don’t own the copyright, because the monkey took the selfie, and said to the monkey, you don’t own the copyright, because copyright is for humans, and that’s the starting point for me. AI is not human, and copyright is for humans. Corporations can own a copyright, but that doesn’t mean that they’ve created the copyright. So the book copyright, I don’t own, Rowman and Littlefield does, but the copyright initially started with me, and I transferred it to the publisher. So the starting point is, copyright is for humans. Then we ask, “Well then, can generative AI create copyrightable work?” And that answer is initially “No,” and there are examples of that where courts have said and the copyright office have said, “No, it’s for humans.” But one can use generative AI in a maneuverable way that you’re significantly adjusting or choosing or selecting the output, and the Copyright Office has said where a human author has adjusted or significantly manipulated the output, then it is possible. So I would say that a faculty member could own copyrightable work that came out of AI provided that it just wasn’t: “Please give me this” and what came out of it belongs to them. It does not. However, you can still own something that you don’t own as a copyright. That’s what trade secrets are for. And so it’s possible to own a work that is not protected by intellectual property law, traditionally, but for copyright purposes. I guess my last example would be if I took an essay that I was writing that I wanted to publish on a blog, let’s say my own blog, but I was having trouble getting it down from 2000 words to 1800 words, and I put that into AI and said, Take out 200 words, I would argue that that belongs to me, because it started with me and it was my copyrighted work, and I used the AI system as almost like an assistant to help me edit my work, as opposed to saying, “Please write me an 1800 word essay on this topic.”

John: What about the work that students have created and submitted, though, so that if a student submits a paper, and then the faculty member uploads that to a generative AI system, which may be used for future training of that AI system, is that a violation of the student’s intellectual property rights?

Rebecca: Or FERPA?

Kent: It’s a really good question. I’ll take the FERPA one first, which is, there’s a hard question to ask, which is, “Is it possible that student work qualifies as an education record?” And one problem with FERPA as a statute is that it by itself, is over 3800 words long. And so you’re dealing with a statute that is so long that, like it needs its own library by itself to come with the regulations that come in addition to FERPA. So FERPA is so labyrinth, it’s very, very hard to figure out. And when I take my required FERPA quizzes as part of my status on campus, I don’t pass them on the first time with a perfect score either. But, like, how did I get that wrong? I’m supposed to know this stuff. So I would argue that student work on its own would not qualify as an education record in light of the definition. But you could find how it could, so there is a real FERPA issue at stake there, and so I would recommend erring on the side of not violating FERPA. Now, just as an aside, one good thing about FERPA is that, for us as faculty, we cannot be liable for violating FERPA. FERPA as a statute, is the stick, not the carrot. What it really does is it says you risk, as an institution, losing federal funding if you have a policy or a practice of violating FERPA, and in lawsuits where students have sued for violations, every court has said FERPA does not grant personal liability, which comes with monetary damages, so no faculty member could ever lose a lawsuit over FERPA, because there’s no lawsuit provided by FERPA. It doesn’t mean your employment status isn’t at risk. So there’s a FERPA issue that I think is really serious. There’s a broader issue as to privacy, because, you know much of AI is meant to continually improve itself. So when I put students’ work, if I were to do that (and I don’t) into AI systems, I’m now taking their property because it is their property, and there’s case law on that that work belongs to them if it qualifies for copyright, right? It’s possible that a student’s work is so, forgive me, banal that maybe it doesn’t qualify for copyright. Taylor Swift won a lawsuit on the same grounds to the extent that a court said when she was accused of copyright infringement from another person’s song, the lyrics were so banal, nobody owns a copyright in them. So assuming a student’s work is copyrightable, that’s their property, and I shouldn’t take it and put it in an AI system. That’s my personal view on that. And then there’s a larger privacy issue, which is, “Do I really have their consent to take their work and their information and put it into an AI system?” So I again, err on the side of respecting not just the copyright of students’ work, but their privacy issues as well.

John: Remote proctoring solutions that have been pretty widely adopted, beginning in the pandemic and continuing at many institutions use webcams to monitor online testing, and you describe a case where a student challenges this on Fourth Amendment grounds, and that was upheld during the pandemic. Is the use of remote proctoring tools, something that faculty and institutions should avoid.

Kent: If you’re a public institution, then the Fourth Amendment does apply. We tend to think of the Fourth Amendment only with respect to criminal law matters. Someone came to my home and they looked for contraband as part of getting ready to arrest me or attendant to prosecuting me, but the Fourth Amendment can apply outside the criminal law as well, and that Cleveland State example, I think, is worthy of thinking about where during the pandemic, to check against cheating, remote webcams were used that you had to turn on your camera and your computer so it could scan your room so you didn’t have things that shouldn’t be allowed for the exam. And one student said, “I have personal items in my room where I live with my mother, and I don’t want those to be observed.” And his lawsuit found a Federal Court that said “You’re right. As a public institution, they’re engaged in a search when they’re using a remote scan.” That’s the first part. It’s almost like thinking about speech. The first question is, “Does this qualify as speech?” Which is why we know that a t-shirt with an emblem on it qualifies as speech, because speech can be both words and communication that’s non-verbal. So the first question here is, does this room scan qualify as a search for the Fourth Amendment? And the Court said it does. And then the next question was, does it violate the Fourth Amendment? And that’s where the Court said it did as well. So I think the remote room scan might come with good intentions, but for public universities, particularly faculty that are not operating under, let’s say, an institutional prerogative on that stuff, I would again caution on erring on the side of the risk of their cheating, it may be better for you than the risk of you being accused of violating their Fourth Amendment rights, because there’s an intrusive nature to that. And the Fourth Amendment case law is just there’s hundreds of cases on the Fourth Amendment, but we know at least of one involving an institution, not the faculty being sued, but the institution. So for those who work in state institutions and use remote scams. I would just ask yourself this, are you thinking about the fact that this is a search, and if it is a search, are you thinking about how it is reasonable as opposed to being unreasonable? And for students who, wherever they live, I think they have a right to say, I don’t want you to look where I live. It’s my space. Could I go into an in-class setting and say to all students who have purses, “I’m going to look for your purses before the exam begins, because you might be able to use something in your purse to take the test. Or I’m going to check pull up all your sleeves so I can check your arms.” At some point, we’re going beyond what is reasonable in light of the situation. So I do think there’s a concern that faculty at public institutions… if you work at a private institution, the Fourth Amendment doesn’t apply. But we get back to this prior discussion of “Is it really fair?”

Rebecca: Malpractice insurance is used by medical professionals, lawyers, accountants, et cetera, to protect them from possible lawsuits. Is this something that faculty might need? We’ve been talking a lot about when is a individual faculty member potentially liable versus the institution.

Kent: I think insurance is always great to have, not to eliminate risk, but to mitigate the costs associated with the risk. And the costs are twofold. It’s not just the cost that in case you might be liable or settle. Sometimes people settle, which doesn’t mean they are liable, but for a variety of reasons, they choose to end the litigation in an alternative way. But the other cost is the cost of the case itself. So the costs of being in litigation are separate costs to losing or settling the litigation. I have searched repeatedly, even though the AAUP, which I’m a member of the American Association of University Professors. I know that you can find various web pages that will say they offer professional insurance. I know that they used to, but in my search for that, I can’t find that the insurance company they say offers professional insurance truly does anymore, but I do think professional insurance is important, because the world’s best doctor should still be insured against the risks associated with doing their work professionally. And again, the world’s best doctor might still make a mistake, and I like to think I’m a good driver, but if I didn’t have to carry automobile insurance, I still would, and I carry a policy with the highest limits possible. So we’re all living a life where for a ariety of reasons we’re subject to making a mistake, an honest mistake, that still might anger somebody, particularly a student, who might sue. So I do think insurance is important. I think it’s a hard thing to find. One good thing to realize is that for some states, if you’re a state university faculty member, you might have immunity against liability for professional actions, because there are some limited immunity statutes that apply to all state actors when they’re engaged in what’s called a discretionary function, which often the work professors do is discretionary.

John: On a somewhat different note, many institutions and many faculty claim that the syllabus is a contract with students, and that’s a topic you address. Is the syllabus, in fact, a contract?

Kent: To me, it’s always been an interesting question, and I remember years ago, in another life at another college, where I was a department chair, and I was in a meeting, and the person hosting the meeting was talking about syllabi for the semester, and said that a syllabus is a contract, so make sure that you don’t put anything in your syllabus that could be breach of contract. And I’d never thought about that before, and I didn’t say anything, but I thought to myself, that doesn’t make any sense to me as a lawyer, that a syllabus is a contract. What I came to discover, and have done some writing about, is that it is really one of the best examples of folklore where something seems like it would have to be true because it seems natural, it seems logical to be true, but it really isn’t true. Calling something a thing when it’s not a thing doesn’t make it that thing. And to call a syllabus a contract, does not make it a contract, anymore than if I put an engagement ring on a non-human that does not make me engaged. Well, there’s the engagement ring, I must be engaged to be married, and it doesn’t mean that I’m engaged any more than a syllabus is a contract because you say that it is. It looks like it would be of because of its formality, its requirements. But here’s why it’s not. It’s not for two reasons. The easy reason is courts have said repeatedly, it’s not, because students do sue over a syllabi, and they allege that they are a victim, loosely speaking, of breach of contract. And every single time that has happened where you can find it, and sometimes a case may be dismissed, but there’s no record of it, but wherever a legal researcher can find a record of what has happened, every one of those lawsuits has been dismissed because courts have said they’re not contracts. The more difficult reason to come to grips with this is that a contract is an exchange between you and the other party, and the exchange has to have legal value. That’s called consideration. There is nothing that you and a student are exchanging in a setting that makes the syllabus a contract. And so it has the patina of a contract, but underneath it, it’s not a contract, and that’s a good thing, but one thing that faculty should bear in mind is don’t say that it’s a contract, because there’s a doctrine in law that operates sort of like if you say you quack like a duck, you swim like a duck, then you might be a duck. And so if you insist that your syllabus is a contract, and you make people sign things and turn them back in to you to prove that they made the agreement with you, and it’s contractual like, you’re gonna have a hard time to argue that you didn’t make a contract because of a legal doctrine that comes out of the equity side of the legal system, in which someone can say, “I relied upon your promise. Now you got to keep it because you caused me to rely upon it.” So it’s possible that a faculty member could be held to the standards of contract law because they played lawyer in their course when they really didn’t need to and shouldn’t have. So it’s good news that a syllabus is not a contract.

Rebecca: That said, you mentioned that syllabi have a pretty formal structure. Are there any legal issues that faculty should be concerned about related to syllabus language?

Kent: I think, and I’m biased, I think thinking like a lawyer, rather than saying you’re one, is a good idea, because lawyers sort of think about the possible rainy-day situation. But entrepreneurs, bless their hearts, they think about how sunny life is going to be. That’s why they’re going to take those risks. And lawyers often say “yes, but there could be a storm. And look out, this could happen, and be careful, this could happen, and don’t forget, maybe there’s a snowstorm, so bring a shovel.” And so, lots of times lawyers, from a transactional standpoint, are thinking about the “what if.” So, I think if you think about your syllabus in a progressive way and say, “Well, what could happen if this is in my policy?” That provides more clarity to how you draft it better. So I think one thing to do is to think for yourself after you write your syllabus or craft it or borrow it from someone else, is “What does this policy mean to someone who didn’t write it?” And often it’s sort of like how mediators play a counteractive thought partners with somebody else, even if they’re not in the conflict. So think about, what if someone else read this and they didn’t draft it? What does it mean? So I always suggest under promise and over deliver as a way of thinking about your syllabus, maybe providing a definition section as well. I don’t penalize lateness in my classes. I try to create an environment where students either need to be there on time or they want to be there on time. But if you have a lateness penalty that affects the grade, what does it mean to be late? Have you thought about that? Is there a time period? If there are excuses for lateness, what does that mean? So a definition section might work, and also in law, it’s called a force majeure clause, it never hurts to just say in writing, this is our schedule, but I do reserve the right to adjust it when need be, because then that can prevent a student from saying, “but you said the test was going to be on this date, and I scheduled this on that date, and now I can’t take the test. You must give me an extension.” You might choose to give an extension, but at least with the force majeure clause style of writing in your schedule of your syllabus, you’re letting students know I respectfully reserve the right to alter something if something outside of our planning interferes with our schedule.

John: One of the issues that faculty often worry about is to what extent they might be protected from personal liability while they’re engaged in their jobs.

Kent: There’s a great standard historically in the law for faculty, and it’s called the arbitrary and capricious standard, and it applies to both private faculty and public university faculty. So it’s across the board. And so despite all of the what I almost feel is overwhelming negative news in the academic world, both politically and legally, which then becomes personal to faculty, there has historically been good news. The starting point is that courts do not accept educational malpractice as a lawsuit. So that may be a reason why faculty don’t think about getting insurance, because there isn’t educational malpractice, courts don’t accept it. They want to be out of the business of evaluating faculty work. There’s 18 million students, even if they’re taking multiple classes, in college across America, and courts do not want to be faced with “My professor committed malpractice, they’re negligent,” all that stuff. So there’s no educational malpractice as a general proposition in American law. That’s good. As it concerns the liability of faculty individually for their decisions, the arbitrary and capricious standard basically says this, if a professor or an instructor has a rationale for a decision that might have caused consternation or pain, that’s good enough. It isn’t arbitrary. I take grading very seriously, and where I work, there’s no legal teaching assistant, so I grade all the work, and I give a lot of essay work as well. So I want students to know that I like mentally have touched their work and I’ve read it and I’ve dealt with it so that my comments to them reflect that I care about them as students and people so arbitrary is like, “Okay, I’m gonna throw these things up in the air, and wherever they land, there’s your grade.” That’s arbitrary. Capricious is sort of like having that darkened heart towards a student. If I have a rationale for my decision making, then it’s passed the arbitrary and capricious standard, and I’m safe, and courts accept that, generally speaking, and that’s a good thing to think about and take with you in your work as a faculty member. It’s an encouraging thought to realize that I’m not being judged by whether someone else would have done this, and often we think that’s how it works, like if, in a worst case scenario, faculty member is truly sued over a decision that affects a student, they might wonder, what if the judge wouldn’t have done what I did? And the case law is wonderful because it shows that when faced with these decisions, judges specifically say it doesn’t matter if I would have or would not have done what you did. It matters whether what you did passes the rationale test, and if there’s a rationale for it, it’s not arbitrary, and if there’s no evidence that it was motivated by ill will towards a student, it passes the capricious part of it, and you’re on safe ground.

Rebecca: One question that faculty might have is whether or not these same protections qualify for both full-time faculty as well as part-time faculty.

Kent: That is a scary thought, and as you probably know, there are way more part-time faculty in America than full-time faculty, and there are way more altogether untenured or non-tenured faculty than tenured faculty. So there’s only about 25% of American faculty who are tenured, and of that, less and less are tenure track. So you have a much higher proportion of part-time faculty than ever before. And part-time faculty, it may be their gig economy job, it may be that they teach a bit on the side because they’re teaching a class, let’s say accounting, that’s adjacent to their professional work, for whatever reasons they’re teaching, which is wonderful, they’re underpaid doing what they do, and they’re often overworked and also under-supervised to the extent that they might not know what’s going on on their campus or in their department, because they show up for class often at night, in particular, if it’s a regional campus, and then they go home, they’re not going to department events or faculty events. The legal standards apply to everybody, and there is a case in the book which involved a student being sued by a graduate assistant who was in the PhD program and was teaching a Master’s class at the same time. So you have a part-time faculty member who was a student themselves faced with a lawsuit, and they were treated as respectfully, legally, as if they were a tenured professor, and the standard that was applied to them in the lawsuit was the same that would be provided to any full-time or tenured professor on campus as well.

John: One of the issues that you alluded to earlier is that there’s a growing amount of political attempt to regulate what is taught and what can be taught at colleges and universities, as well as challenges to the speech rights of students. Where do we stand in terms of protection of academic freedom and freedom of speech in the campus environment?

Kent: That’s not just a thorny question. It’s a very depressing question, I think, because there’s the look across the landscape is not pleasant, and I guess one encouraging thought to take from that is that much of the academic freedom case law that stands up for the rights of faculty comes from a time period when, in the mid-20th century, when faculty rights were at risk and you had lawsuits that sort of established grounds for why faculty should have academic freedom, what it means and how far it goes. Another thing to take from this is that the American Association of University Professors, the AAUP, was formed because of the way faculty were being treated politically speaking in their work. So I think there is a media-driven misnomer that college faculty, particularly tenured faculty, sort of exist conspiratorially to create an agenda to mind meld their students, to think about the world in ways that students’ parents might not want. And one problem with that is faculty are too busy to even conjure up that conspiracy. There’s too many things that we’re doing to spend time secretly cloaked up and planning a way to create some sort of academic cult with our students. And secondly, that isn’t what faculty do. And I think of it this way. My analogy would be like, do people sometimes vote illegally? Yes, they do. Does that mean elections are stolen? No, those are conspiracy theories. Elections are not stolen. People vote illegally, but it’s so infrequent as to not even be a thought unless someone is peddling a conspiracy theory. Do professors sometimes do bad things that they shouldn’t do? Yes, is it a problem that’s national? No, is it an epidemic? No, not at all. Because, guess what? There are already methods in place to deal with that. There are departments and administrators and case law where faculty do get held and their feet are put to the fire for mistreatment or ways of acting in their professions that are either unprofessional or shouldn’t be done, but I think that faculty are now generally targeted as being almost anti-American. The sad thing about that is that academic freedom is one of the essentials and the first essential of tenure. So the first purpose of tenure is academic freedom, and the reason for that is that tenured faculty members are likened to federal judges. That’s often an analogy drawn. Federal judges do things that are often unpopular, but if they don’t have to run for office, then they can engage in their work free from the constraints and the pressures and maybe even the threats to their livelihood based upon what they will be doing. And so faculty are given tenure for that reason. The second reason is economic security, and even the faculty who are tenured don’t have their job for life, that’s not the case. A contract of employment that is thought to be perpetual does not mean that it’s for life. It means that it just, as granted, doesn’t have an easy ending date. It can be ended. It’s just not an easy way to be ended. So academic freedom is the first purpose of tenure, and so the more and more people that are not tenured or in a tenure system, the more at risk I think academic freedom is, because part of academic freedom is the realization that you don’t have to go to court all the time to get it, because it’s culturally understood you have it. And the more that faculty are not in the tenure track or tenured system, I think the less they’re cultured to realize they do have academic freedom. So I think that legislatively, there’s a risk of academic freedom in many states as new laws are passed that impinge, in my view, on what faculty are entitled to teach. Because if you think about where academic freedom is strongest for faculty, it’s actually in the classroom. So it’s a weird phenomena that the strongest point for faculty with respect to the academic freedom is their instructional decision making and techniques, and yet that is where it is at most, now seemingly at risk, what they do in the classroom. So it’s an irreconcilable concept to me to say that faculty’s academic freedom, including part timers, should not exist in the classroom, when, in fact, that is where it is most historically by court decision and culture its strongest.

Rebecca: In this landscape where there’s this increasing number of contingent faculty and declining enrollments and the political attacks that we’ve just talked about, really, how strong is this protection of tenure for this increasingly smaller population of faculty?

Kent: And again, that answer starts with, where do you work? And often the first question is, where do you work? And if you work at a private institution, then you don’t have the constitutional aspects of protection that public university faculty historically have had. And for faculty who are tenured in public institutions, they have what’s known as a property right in their employment and to have a property right is in some way referring to the 14th Amendment’s due process clause and the question of whether you have a substantive property right in your job. Tenured faculty members in public institutions have this Constitutionally connected property right. Faculty in private institutions who are tenured, they have rights, but they’re exclusive to contract law, what has been granted to them in their tenure documents or their policies on tenure that solidify their employment as tenured faculty members. So tenured faculty members in a true tenured system, and it’s not the label… someone could be called a full professor, I’m just an associate professor, but I’m tenured. A full professor might have no tenure. They just might have a really nice label, but not tenure. So to truly be tenured is to have protection for your status in your job, that it is extremely difficult, but not impossible, to remove you from your position. That could include what’s called, budgetarily speaking, a reduction in force, and generally speaking, when there’s a reduction in force, it would make sense, perhaps, to start with a tenured faculty member, because they make more money. Now that isn’t always the case, because sometimes in business schools, the newest hired Business School professor makes more money than a tenured professor who was hired years earlier and started a lower rate of salary. But even though it might make sense budgetarily to start removing a tenured faculty member because of their salary, tenured faculty members have a protected status, and so even in reductions in force, universities or colleges have to show that they ticked all the boxes carefully that’s required to remove a tenured professor from their position. And that’s why the common phrase is “just cause” or “adequate cause.” A tenure-track faculty member is really on shaky ground, and a contingent faculty member who is part time is on exceptionally shaky ground. A tenured faculty member can be fired. They can be fired for just cause, and it happens. And it happens in cases where it should happen, whether the phrase “dead wood” with respect to tenured faculty is unfair or not. Understand that we all work with people that we know perhaps aren’t carrying their weight, but they’re few and far between, which is why we know about them, because it’s not a common occurrence. But tenured faculty members can be suspended and they can be fired, including for budgetary reasons, but usually they can only be fired if the process owed to them by contractually obligatory policy and or the notions of due process have been followed correctly.

John: So we always end with the question, what’s next?

Kent: Well, for me, what’s next is perhaps creating a limited series podcast for these topics in which I try to tackle them in a podcast where I try to explain to people some of the topics that are in the book in maybe a greater level of depth or explanation. My campus is running a book club or a book group for this book, so I’m happy to be a part of a book club for faculty on my campus that are reading the book. And I’m trying to do some speaking on these subjects related to the book, wherever someone will have me, but particularly to faculty groups as well. So various chapters of AAUP organizations and other faculty groups as well.

Rebecca: Well. Thanks so much for joining us. It’s an important series of topics to be talked about because, as we mentioned right at the top, that it’s not something that’s readily available.

John: And, as you mentioned earlier, that narrative is a really effective way of conveying this information, provoking curiosity, and it makes it a much more fascinating read than many legal books might be. So thank you.

Kent: Thank you for that encouragement, and thank you for inviting me and having me on your podcast. I appreciate just talking about these subjects, which I think are important to faculty, but might not always be brought to their attention. So I appreciate this time together.

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

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

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