458. A Neurodiversity Framework

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

Show Notes

Transcript

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

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

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

John: …and Rebecca Mushtare, a graphic designer…

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

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

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

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

Megan: It has.

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

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

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

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

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

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

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

John: Equally.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

John: But the answers are different for each student.

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

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

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

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

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

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

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

Rebecca: Yep. [LAUGHTER]

John: Yes.

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

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

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

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

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

Megan: To some degree, to some degree.

Rebecca: Yeah, yeah.

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

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

Megan: Thank you, thank you. [LAUGHTER]

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

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

Rebecca: Sounds like an exciting adventure.

Megan: I think it will be. [LAUGHTER]

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

Megan: Excellent. Thank you so much.

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

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

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452. Revisiting A Curated AI Framework

Shortly before the start of the spring semester, Tim Curry joined us for an episode discussing his ambitious plan to create structured learning experiences for students using chatbots. In this episode, we check back to see how this experiment developed. Tim is a lecturer in the Department of Health Sciences at Northern Arizona University. He is developing AI applications for autism research and tribal health service while building Northern Arizona University’s Applied Health Analytics program. He’s also working on the completion of his PhD degree in health equity technology.

Show Notes

Transcript

John: Shortly before the start of the spring semester, we had an episode discussing an ambitious plan to create structured learning experiences for students using chatbots. In this episode, we check back to see how this experiment developed.

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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 Tim Curry. Tim is a lecturer in the Department of Health Sciences at Northern Arizona University. He is developing AI applications for autism research and tribal health service while building Northern Arizona University’s Applied Health Analytics program. He’s also working on the completion of his PhD degree in health equity technology. Welcome back, Tim.

Tim: Hi, it’s great to be back here.

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

Tim: I’m not right now, but I was, and the tea I had this morning was a spice blood orange tea. It was quite tasty.

Rebecca: Looked like it was in a beautiful mug.

Tim: Oh, yeah, yeah.

Rebecca: turquoise… ribbed…

Tim: Yeah, with a little bit of a, almost a goldish highlight on the ribbings.

John: A bit iridescent.

Tim: Yeah.

Rebecca: How about you, John?

John: I am drinking a Lady Grey today.

Rebecca: Oh, I have its companion, a British breakfast.

John: Very good. Earlier this year, Tim, right before the start of the spring semester, we discussed a plan that you had developed in which students would engage in a structured sequence of interactions with a chatbot tutor that you created in each of the course modules in your health science course. The course was scheduled to begin actually the afternoon of the day when we last talked. We’re following up today to see how this plan has worked out once it hit the actual classroom. First, though, could you provide our listeners with an overview of the course, because not everyone may have listened to that, or it’s been a little while, and just remind us of what the course is and how the AI activities were structured.

Tim: So, as a rewind here, so I actually use this in two of my classes. The first one being our HS 300, which is a class focused around the diseases we get as people and how we work in that space, in more of a public health focus. And then the second class was a fitness wellness class that’s focused on how do we do physical activity more of a clinical population focus, and it had that as the topic, and then it’s also our writing-intensive higher-level course. So, in both of the classes, we had a tutor bot. The way that it functioned was I gave them a file that I built out that was a learning file that the bot would read and would have an idea about what are the topics that the student needs to learn and then would work with them in a very Socratic style to help them learn the content and the depth that was required as kind of the minimum foundation points for them walking into class in the first day and they did actually fill in the questions I had in that file, and it was required to hand that in, as we could call it proof of learning.

Rebecca: So I’m picturing the first day. How did students react to your plan?

Tim: About what I expected, honestly, which was tentative. And that first day, and I’ll actually expand that, and say that first week, we had a lot of discussion in class about what does this look like, what’s the purpose of it, as we had, I believe, discussed about six months ago. One component of that first week was about roughly half of one of the first two days of class in that first week, they had built-in time in class for them to actually dive in, learn about this GEM that was the host of our bot, and actually get to start working with the first file for that first week, and get their hands on. And I’ll say that first day it was very interesting to hear about the reactions, and some students, within the first five or 10 were like, “this is not for me,” which is fine, because that was how it was built, was that they did have an option B that they could do without having to engage with the bot. Quite a lot of them had said, “I’ve never ever engaged with an AI like this before, and I’m a little uncertain, but I’m willing to go and give it a shot.”

John: Roughly what proportion of students chose to continue with it, and what proportion chose to opt for plan B?

Tim: Yeah, that’s a great one. And in fact, I’ll say that was one I was watching throughout the entire term, because they have to hand in this like proof of learning, which allowed me to kind of track what was the proportion. Roughly, the proportion was like 70% continued with AI, and 30% chose to go the more traditional text-heavy route. I’ll go and say this. I would argue in a 16-week term, I would say just off the top of my head that by about week six the students had settled into the way that they were going to engage.

Rebecca: That’s not too bad, about a third in.

Tim: Yeah, it’s not too bad.

Rebecca: How did it work?

Tim: Really well, I would say. Overall, there were definitely things, that within the first two weeks I hit the fun point that I’m sure all three of us have at some point, which is Gemini pushed a major change in their models and updated, and suddenly the AI tutor [LAUGHTER] wasn’t working the way I was expecting it to work. When I had trained it and done the last round of kind of making sure it was working, that was end of December, start of January. By the time we hit like week two of the class, the model had been adjusted and suddenly it just kind of wanted to go off in its own in right field and treat the student as if they were like a medical student and go in way too much depth. So after that, I realized very quickly in that week, too, like, “oh, we have a problem,” so very quickly went back, adjusted the system prompt, put up some more forms of constraints in a guardrail to rein it back in, bring it back in, and effectively the way I did it was to get the bot to do less explaining and focus more on explicitly what the student needed to learn and allow the student to drive where they wanted to engage further. And after that adjustment it seemed like that solved the issue and the students were able to better engage with the bot overall and I’d say overall, for both the AI bot and the textbook route, the big change of having these effectively notes that they were expected to hand in dramatically improved their readiness to engage in a flipped classroom, which is the way I teach, and so I would count that as a win period for the AI bot, the fact that at the end of the day the grades were effectively the same regardless of the way that they engaged. So I would go and put that up as a positive sign overall that the AI at least performed as good as the traditional way.

John: And in a first iteration that’s probably a very positive outcome, because often new experiments have some rough edges on them. I was especially curious about the performance of the Gemini Gem, because I was working with a group of 18 faculty in SUNY from various campuses who were experimenting with chatbots, and many of them started with ChatGPT, but then moved to Gemini, and they had very similar experience, that the GPTs in ChatGPT seemed to pay much more attention to the guardrails that were put in, while Gemini Gems seemed to go off in directions that were different from what the instructions were, and that caused a bit of frustration for several of the faculty, because one of the reasons they moved to Gemini Gems was because their campuses had Gemini, and they thought that would allow all students to have more equitable access, but they had begun in ChatGPT because the grant had funded Chat GPT accounts for them, but again students were complaining that the free accounts didn’t allow that much interaction with it, while those who had paid accounts had much better quality of interactions, so it was a trade off, and ultimately pretty much everyone who had that choice did stay with the Gems, but it did require quite a bit more training. So, I think your experience there was not unique.

Tim: And I’ll just go and say this as well. I did also one more adjustment I did in week three which further helped was, in Gems, you can have certain variations of it, right? Just go and turn on as the default that the student can go and turn off if they want, but generally they don’t, and I defaulted on the guided learning mode, and that further enhanced that Gem as well. 8:11

Rebecca: So it’s always interesting when you try something new and something goes awry, and obviously it sounds like you adapted well. How did the students adapt to this minor interruption, especially because it happened early on.

Tim: I think the biggest item in terms of the feedback was that I was very open that first week of “this is an experiment, we don’t know what’s about to happen. I don’t know, I know what I’ve done for my testing, no idea what’s about to occur here, and I want to know your feedback, so let me know. We’ll go and talk about this.” And opening up that window of this is an experiment, you are my group. If this doesn’t work, we’ll adjust and change. I believe that it allowed that space for a dialog to happen, and that first week we did half of one class where they had a chance to go and get in there, work on it. I got a lot of feedback from them in that class, then once we got in to week two, that feedback of like, “Hey, this took a really long time because it kept like wandering off over here, and I had to bring it back, and it was really annoying,” I think was the biggest response I had, and then after we got it tuned in, I began to hear more feedback about, “Okay, I kind of like this, because if I’m totally lost on what is this problem with the heart, why do I care about it?” It really allowed them to explore if there was an area or a disease that they really found fascinating, and it just gave them more freedom to go and explore that. So, overall, the response that I had from the students was, I’d say broadly, it was kind of two broad groups. One was: this was very intriguing, and it was about the same as what I’d expect if I read the book. I’d say out of the 70%, like roughly I’d say like maybe 10 to 20 of that was that group of like it was nice I didn’t have to pay for the book, and then the rest of the group was generally that they liked the ability to have that freedom to explore or to ask the bot for more help in a space as they felt need.

John: Going back just a little bit, you mentioned you have these chatbots that are trained as Socratic tutors on that module, and then students complete an assignment at the end. Was the assignment built into the chatbot or was it something that was a standalone, and how did you receive all that? Did you get a transcript of the interactions along with some responses or something else?

Tim: So what I did was I gave them a file that was in Canvas, and the chat bot understands how the file is laid out, and it has a set of questions and tables and cases and all of that stuff without the correct responses put in there, and so the student’s job was to start a chat with this bot and to give it the file, and so that the bot knew how to drive the engagement, and then what they did was, as they engaged with the bot, they would go through and fill out each of the components of this file, and then they would just go, and it was a hand in before the first day of class that week that we did through the Canvas site. Now, a big part of not only these classes, but just the classes I go and teach across the board is that I do a contract grade, so for these items, because the focus is on “I want you to engage with the content, I want you to learn it, so in class we can work on like going further and building out skills,” so they knew that as long as they completed all the work, it got marked as done. I wasn’t about to go through with a comb and dock them points for everything that wasn’t exactly right, but once they had that handed in, it unlocked the key for them, and then they were in charge of ensuring that they went through and reviewed the key to make sure that they were in the right space.

Rebecca: Seems like a good plan, when otherwise that would sound like a lot of grading.

Tim: It did work well.

Rebecca: And you said that the students who chose the textbook method essentially did the same assignment, right?

Tim: Yeah, so it was adapted for the textbook, but exact same idea. The plan, as well, was to keep the overall load on the students the same. It seems like, based on what they reported in evaluations, that was the case, that regardless of path, it was about the same amount of time to complete each one.

Rebecca: Besides the tech surprise, were there other surprises, things that you didn’t expect? Anytime you go into an experiment, things come up that you don’t expect.

Tim: I think the one that was unexpected and interesting, and I suspect both of you, being faculty, you’ll hopefully laugh at this, was HS 300, in particular, is a content-rich class. I mean, not only is it a 300 class, but human diseases, there’s a lot of them, [LAUGHTER] like there’s far more than we can fit in one class, so we only focused on functionally the major diseases for each of the body systems, and still there’s just a lot of content that you need to know, and the feedback that I had at the end of the day kind of made me laugh, which was regardless of the path that they picked, because now we were requiring them to show at least foundational knowledge prior to walking into class as a core component of this class was that they were spending three to four hours a week outside of class doing all this work and going and like preparing for class and that it was more load than what they were used to or expecting and a lot of the feedback was “and I feel like I learned so much more because of this.”

John: That’s a nice positive outcome. We don’t always get that. We often get the “this class is so much more work than I expected,” but it’s not always combined with “and it was worth it.” That’s a really positive outcome.

Tim: Yeah.

John: You had mentioned that you were using a flipped classroom approach, and earlier when we talked to you, you mentioned that you were using active learning activities. Could you talk a little bit about what a typical class would look like in terms of a typical day in the classroom?

Tim: I’ll actually expand, I’d say a typical week, because usually things span like day one to day two. So, a typical week, the first day of class, we go and start off, and the first thing that we do… well, after the “hey, this week in class… , and don’t forget about this,” all of that fun at the start of class was we would do a tRAT, and for those who don’t know, a tRAT is a team readiness assessment test, and it is classically done with these cards that look like a card I’d buy for a lottery game, where we would code effectively a multiple choice quiz to the card, and then they work as a team to go and figure out what do they think is right. If they’re not right, they have to keep working on it until they go and get it right. I’ve created a digital version of that, so we begin with that, not only to kind of like warm their brains up, because I would get them Monday evening at 5:30.So, a lot has happened. [LAUGHTER] So that helped them kind of get their brains back into our content for the week and help them understand, like, “What do I recall now? What do I need to go work on?” and then we would dive into one of two things, if we were having a bigger application week, which was a lot of the more impactful work, we’d walk through, here’s our work for day one, day two, here’s our task for the end of the day, and then they would just dive right into it, and in those cases, day one was like they were working with a small, and by that I mean no more than four of them in a team, a small team of their peers, and they would work on doing more of the engagement part, and then day two would be wrapping up that, and then doing usually a presentation to go and share out. So, an example of a week, this one was a hit. It was new in this format, and it seemed like it went over well. When we were talking about diseases of the lung, the pulmonary system has a lot of diseases that are infectious, a lot of ones that we would have to report to the state if you happen to get it, and even if it isn’t directly involving the lung, that might be the way it’s spread. So we wanted to introduce them to the fact that there are these things called an investigator that works for the state, and all they do is investigate potential forms of these that might spread that we might need to do some public health work on. So in the first day, they were handed their initial case that they had to go and talk with this AI bot to figure out what had the patient done, where were they at? They knew that they had TB, but they didn’t know anything else. And then they were allowed to expand their investigation to potentially up to three additional bots, and they were told you might have to talk to all three of them, you might only have to talk to one of them. You have to figure this out on your own. You have to do the investigation. So they went through the path and the process to go through and investigate. As I’ll just go and say they did have to talk to all three. The first one went and led them to two of the three bots, and then one of those two went and led them into the last bot. And then they had to go and figure out what do we think happened, and then our day two of class, they wrapped up that work, and we had a chat as a whole class about what did you find out, how do you think this spread, what do we need to do next, and it was actually quite a complicated case, but that’s the way that it spread throughout that week was to go and show them, like, hey, this is an airborne thing, it’s a dangerous thing, and this is a real job you might be able to actually get, and by being able to engage with the AIs as effectively a patient, they had to go through the process of the fact that one of the bots was extremely not helpful, in fact, actually almost like was very rude, and the reason for it was because of the circumstances built into this bot if they were found out to have a TB test that was positive, they had significant potential losses that would be a major problem for them. So that allowed them to actually engage and attempt to work through real-life experiences that they might actually have to go and deal with.

Rebecca: That sounds like a fun activity, that of course leads me to want to know how did you build those bots? … and a little bit of detail about using AI in that context.

Tim: Yeah, so using AI in this format is, I’ll say for myself, has not been a new thing, it’s actually been something I’ve been doing for a while. It started for me out pre- 2022 and the world exploding and changing on us, but it started before that, because in my exercise physiology course I used to teach, engaging with a client is really important, and learning how to do that, so back in the pre-AI time [LAUGHTER] I had used IBM Watson bots that you had to build very crudely when we go and look at then and now, where they had to work with this fake form of a client to pull out all the risk factors and try to understand what were their goals and how do I work with that, and it worked okay. It didn’t work great. It worked okay, because of just the inherent limitations. After we got into our current era, the last four years, roughly, that expanded greatly, and what I would do is I’d build out a prompt for the GPTs first, and now for our gems that included all of the different things I wanted, as like building, so it did include things like here is the background of you as a person. Here is a personality. Here are the, for example, in this case, if they had had any type of testing done, what are the tests? What are the results? What are the tests that we don’t go and know about within all of those? What are the ones that you immediately share? And then there might be additional forms of like a test, like maybe an X-ray of the chest, that unless the student asks, the bot won’t just offer it up. So, what are you allowed to just go and bring up? What are you allowed to bring up only after they go and ask about this thing? And then I did find that when we get into the disease space, where I want them to model the signs and the symptoms of a certain form of a problem. I need to give them exactly what are the symptoms you’re feeling, and I never give them strictly the textbook, because that’s usually not the reality. They’ll have some, but not all. And then I found that it was also very important that I put a very strict box around the bot, this is what you have, so you are a person who has a problem A, it occurred because of B, C, D, E, F, G. You’re not allowed to share any of this. It’s only for you to use to better drive your responses to the students, and so that as they ask about a thing like, have you had a fever, if I hadn’t defined that, it at least knows which way it should kind of push.

John: One of the things you had mentioned when we talked last time is that you had students engage in some self-reflection, and you referred to this a little bit earlier. What did they reflect on? Was it a metacognitive type of reflection, or was it reflecting just on the material? Could you tell us a little bit more about that?

Tim: So this actually, I won’t say that I invented it, because it’s not mine. I actually borrowed a resource from the American College of Sports Medicine annual conference three years ago in Boston, where there’s a really good discussion about flipped classroom approaches within the exercise physiology space, and one of the items that was brought up that I borrowed because it had been used in some research work was this weekly graded survey. So, in the Canvas shell, it’s arranged as a quiz, but it’s marked as a survey that is graded, and all that that means is once they go and do it, it’s just marked as check done, and it runs through a range of different things, and it’s the very last thing that they’re in charge of doing every single week of the term. So it begins with exploring how was the week overall, and I don’t say just for this class, I just say how was the week overall for everything, and that’s a multiple choice, and then we go and walk through, how well did you feel prepared for this week in class? How was the week for you overall in your life? Because we all know that we teach folks who are increasingly more stressed out right now, like I don’t know about both of you, I might have brought this up before, but I have students who, 50% plus of my class, is in six to seven classes and working one or two part-time jobs. They are incredibly busy, and then there’s other life that happens on top of that. So, having a feeling of like maybe they were off this week and maybe their life just took a bad turn in this week, so that makes sense. And then we went and moved into some more open-ended stuff, which included: What did you learn this week? What do you have in terms of a question? Were there any types of like a moment that was an aha for you (it’s fine if there weren’t)? And then we do a bit of goal setting at the very end, which is: “What do you want to do next week to improve on what happened this week? And then when you look back at this week: Did you accomplish the goal that was set for the current week? And then finally, just kind of a broad: “Anything else you want me to know, like did your car break down on the drive up from Phoenix, and you were stuck on the side of the highway for a whole day? And it’s been a thing that I’ve used for a couple semesters now, and overall it seems like it works very well, and the feedback has been very positive, in that a lot of the students are like, “I’ve never had a class require me to, and I’ve never thought about, stopping at the end of the week and reflecting over how things went,” and it’s helped them with a thing like, especially my students, who are those “got to have an A” students, which was me, in fairness of, they might have a bad week, and then when they have to stop and reflect, they’re like, “Oh yeah, I had to randomly work more hours than I thought, and I found out that my dad has to go in for a cardiac stent, of course it was a hard week.” And so it helps them kind of put the week in context better.

Rebecca: In the spirit of reflection, now that you’ve had [LAUGHTER] this experience over a semester, would you continue the approach? What are some things that you might do differently next time? This is your moment to reflect. [LAUGHTER]

Tim: Yeah, so reflection for me would be this, I think I wouldn’t, and I’m not planning on moving forward in exactly the way that we did. Learning that just the fact of Google will push adjustments to their models regularly, and it’s not always easy to go and track it down, that makes it a little bit unpredictable, and I think there definitely is time that could be clawed back because there are times when AI was just inherently not efficient. So in the current model I think there are improvements that could be made, and how I would improve this is I am very much a fan of OER, especially at the current time when things are just expensive, so I would want to create and provide content that provides that foundation that is a little bit more controllable, so I have a better idea of like this is the time that they’ll spend here, so I don’t say like it’s going to be an hour or two, and then bringing in that AI in a more limited way, but in a higher impact way, where instead of using the AI to learn, they’re going and using it as a way to apply and test their own knowledge in a manner that’s going to give them immediate feedback and allow a challenge to the way that they actually approach the content for that week.

John: One of the big concerns with the use of AI models is personally identifiable information. Were you concerned about that issue? I know the contract that Google provides with campuses is that they don’t use the data for training, but were there any residual concerns about that issue?

Tim: This is a great point, because this is a big thing that I work with our faculty on a lot, because with AI’s advancement so fast, it’s so easy to ignore the legal terms of use, which I know everybody reads in fine print. [LAUGHTER] And so for this spring semester I was not worried about that, number one, because as you’ve alluded to, we have a Google ed license, which explicitly prohibits them from training on our chats that are through our accounts, and as a part of that, I made sure that we had a pairing up with that, with ensuring to be very clear, I want you to log in through your college accounts onto this, that’s the only way that it’s like a guaranteed private, and part two, even with that, I don’t want you to put in anything that you wouldn’t mind having as like a TikTok post, as like a public thing. It’s here to help you go and learn the content. It’s not here to help you troubleshoot why you’re not [LAUGHTER] feeling great today. So I did go and build in a bit just to help our students better understand, like, what are the safe and unsafe ways to engage with AI in this format, because I don’t think that’s talked about enough in the world. Now, with that said, I will say that there’s a very interesting change on the horizon, and that’s because our institution has been… for quite a number of years now. We have both Google and Microsoft. Don’t ask me why, I don’t know why [LAUGHTER]… but moving into this fall we’re moving to purely a Microsoft license, so we no longer have the Google license, which has been an interesting change to find out about, because it’s been very recent that we’ve found out about it, that really affects this work. So, moving forward, we, we being myself and the faculty who go and teach these classes, we’re going to have a conversation over the summer about how do we manage this, because the Microsoft format is through the Copilot, and unfortunately the way that it works is I can make these – they’re called an agent in place of a Gem, however, once I go and push them for a student, at least right now, from what we’ve been told, it costs us tokens, which means that there’s an ongoing cost that’s not like a Gem, where it doesn’t matter how much they engage, it’s all wrapped up in that fee. This is a big change, because, as you know, as I suspect, both of you are feeling like finances are a worry for a lot of institutions, so we want to be very thoughtful. So we’re having to go and talk about this, about how do we move forward in the future, is this a thing where we keep it as a G em, and we’re just explicitly clear about you should put no private information in here, because even with a free account, there’s a fair amount of use you can do with these, so that’s a big change we have to go and figure out as we’ve moved away from the Google group.

John: That’s really unfortunate, because I know in campuses where people have had both the choice of faculty is to use Google tools and to use Gemini and Gems, both because of the cost and because Copilots development is behind the others. Even though it’s based on the Open AI model, the training and everything else is unique to Microsoft, and it’s designed for a business environment to keep information locked down and also to build based on the use of the chatbots created by the businesses that are running Microsoft, because it’s designed more for commercial enterprises than for academic enterprises.

Tim: Yeah, well, and I’ll just say, as an expansion, too, because depending on the institution, I mean, one of the things I want to look into as well is there are increasingly more open source models that we can use, and there’s plenty of techniques that, if you have the compute capacity, you could potentially train a larger model, just going and thinking, like maybe you train a Llama 4 and use that as a teacher to train a student that’s smaller that then we can host locally. So there’s plenty of alternates, but it requires you to have the proper not only compute and server capacities, but also the fact that you understand how to make that work. So that is a thing I want to look into, because I do agree with you, Copilot is much more on the business versus straight up education side. So it’s going to be interesting to see how this changes, and perhaps that’s a point to go and have a chat about in like a year after we’ve had a year to explore how have we adapted to the Microsoft model.

John: And that is probably going to be a much more of a transition than adjusting to the change in Gemini.

Tim: Yes, it will be. [LAUGHTER]

Rebecca: It’s a good reminder how quickly this landscape is shifting in the role that the changes in technology have, the role that these companies play in what we’re doing, the finances around it all, they all have an impact on what we do in the classroom. We always wrap up by asking: “What’s next?”

Tim: Yeah, [LAUGHTER]I think I might have alluded there. So, what’s next is for this fall, for both of the classes where we’ve used this in. First of all, one have to figure out what to do with the fact that we will no longer have G ems in an institutional license, so have to figure that out. And then two, how are we going to do adjustments with the classes to provide content in more than just text, because that gets a little bit boring. So, how do we provide the content foundation, and then back it up with applied learning through the use of an AI to further enhance learning? So, we want to keep moving forward with this idea. We just have some hurdles we have to go and jump over first.

John: It’s going to be a challenging experience moving forward, but I hope things go well.

Tim: Me too. [LAUGHTER]

Rebecca: I hope you’re a hurdle jumper, because they’re going to keep coming. [LAUGHTER]

Tim: Yeah, I think I might be sore by the end of this fall. [LAUGHTER] It’s going to be interesting to see what happens.

John: Going back to the multimodal thing, one of the people I worked with this year from one of the other institutions in the health sciences field had put a microphone in a mannequin and a speaker there, and they had voice interactions with a patient who was basically just a plain mannequin, but they were interviewing it and asking questions. They enjoyed the multimodal interactions, probably a bit more than just text interactions.

Tim: That’s a really interesting idea. I might have to follow up with you more about that, because that’s a really clever idea.

John: It wasn’t mine.

Rebecca: I immediately saw your gears turning. [LAUGHTER]

Tim: Yeah.

Rebecca: Well, it’s always a pleasure to talk to you, Tim. Thanks for joining us again.

Tim: Yeah, thank you. I’m sure we’ll follow up again in the future about how did the transition go. [LAUGHTER]

John: You’re not alone, because institutions are cutting costs, and many institutions, including us, have access both to Microsoft and to the Google tools, so we’ll see.

Tim: Yeah, we have some strong feelings as faculty.

Rebecca: Yes, we do. [LAUGHTER] All the big feelings. [LAUGHTER]

Tim: Yes.

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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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449. Student Access and Earnings

The “One Big, Beautiful Bill” contains a provision eliminating federal loan availability for programs in which past graduates had early career earnings that fall below a designated threshold. In this episode, Debbie Furlong joins us to discuss the statistical measures used to determine federal loan eligibility.

Debbie has served for over 30 years doing applied higher education policy analysis at public comprehensive universities, most recently as the Director of Institutional Research at SUNY Oswego. Prior to her arrival at Oswego, she worked and taught at the University of Wisconsin at Green Bay, St. Norbert College in Wisconsin, and the American University in Washington, DC, where she had completed her PhD degree in international relations.

Show Notes

Transcript

John: The “One Big, Beautiful Bill” contains a provision eliminating federal loan availability for programs in which past graduates had early career earnings that fall below a designated threshold. In this episode, we explore the statistical measures used to determine federal loan eligibility.

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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 Debbie Furlong. She has served for over 30 years doing applied higher education policy analysis at public comprehensive universities, most recently as the Director of Institutional Research at SUNY Oswego. Prior to her arrival at Oswego, she worked and taught at the University of Wisconsin at Green Bay, St. Norbert College in Wisconsin, and the American University in Washington, DC, where she had completed her PhD degree in international relations. Welcome, Debbie.

Debbie: Hi.

John: Thanks for joining us. Today’s teas are:… Debbie, are you drinking any tea today?

Debbie: I am waiting for my tea to cool off. It’s a decaffeinated green tea, because it’s too late in the day for me to have any caffeine.

Rebecca: Green tea is a nice choice at this time of day. I have Blue Sapphire today.

John: Back to an old standby, and I have ginger peach green tea today.

Debbie: I’ve had a ginger peach tea. It’s some of my favorite flavors.

John: It’s one of mine too. This is a Republic of Tea variant. Rebecca particularly likes flavored teas.

Rebecca: It always smells good. [LAUGHTER]

Debbie: Yes, it does.

Rebecca: We’ve invited you here today to discuss the growing focus by the federal government on using earnings data on students who evaluate the success of college programs. The One Big Beautiful Bill Act prohibits universities from awarding federal loans to students in programs where its former students have earned low wages. Can you tell us a bit about how we got to this point?

Debbie: Yes, it’s been a long trip down. Some might say the government has been providing post-enrollment earnings data for several years now through a tool called a scorecard. Assessing the quality and value of a college degree in terms of students’ earnings has been growing in popularity for a long time. Increasingly, we’ve all talked in higher ed about people viewing their degree in terms of what it’s done for me as a private good, as opposed to focusing more on the public good of education. We can see data where this trend has been growing for 50 years. I think that trend was really exacerbated when public universities, when states started having to trim public funding, and parents and families were bearing more and more of the cost, and when the price, the stated prices were going up, up, up, this trend became even more predominant. Universities really have not helped at this, because, like, our marketing areas for recruiting have really leaned into the job placement as something that needs to be touted as an important thing, so we’re all sort of involved in telling students they should pay attention to how much they’re going to earn. I think the original interest of the federal government – I’m just speculating… based on timing and the administration that was in play at the time we first got the scorecard… I think the original interest was sort of a consumer protection kind of position. We had had an explosion of for-profit schools that really had some very serious problems. Students were not completing the degrees, and even when they were, they were unable to earn enough to pay back their loans, and the loan default rates were going up for these schools. So it was like, “Well, let’s protect the consumers,” so about 10 years ago, when Obama was actually still in, the Department of Ed launched the College Scorecard, and the College Scorecard was really the first time that families and students could look at a university’s profile and see: this is the graduation rate, this is how much it cost, this is what percent of students get loans, and here’s the average income a certain number of years after graduation. And here’s the percent of students that are paying back loans, so, bringing it all together. Where we’re at right now, the new state that we’re in right now is the Department of Ed looking and saying, “Gosh, we have all this data. Let’s begin using it to stop supporting programs where students are not earning enough money. Since we have all the data, we should protect not just the consumer, but protect the taxpayer. The taxpayers shouldn’t be asked to pay through Pell grants and through loans for programs where students aren’t even able to earn as much as they could earn if they went and got a high school degree.” That’s how we got where we are, and that’s where we’re at. I hope you can hear some of the passion of my voice about this stuff. [LAUGHTER] I really think faculty and staff need to understand where the data come from and understand how we’re all in this together, and to feel confident to go and explore and learn on their own.

John: So, this started off as something designed to protect consumers, but it’s moved on to something a little bit bigger, and because of that, it’s become increasingly important to understand the data, and you spent a fair amount of time researching the data and how it’s measured, and you’ve raised some concerns with it. Could you talk a little bit about the primary sources of data first?,

Debbie: Yeah, there’s two really big national data sets. One is from the Department of Education, and one is provided by a group called the Carnegie Classification, which is a branch of the Carnegie Foundation, which is a nonprofit. The Carnegie Foundation has teamed up with the American Council on Education, ACE, which is a big nonprofit player in the higher ed sphere. Both of these organizations are providing data that is publicly accessible and downloadable, and they both have a website search engine that sits on top that enables you to look up one school or to compare a few schools, but the data that’s running those engines is fully accessible. So this winter I was bored, and I got in, and I started playing. It’s like I just really want to learn how they’re going to do all this, and what does this stuff all mean. So the College Scorecard is the most important resource. Like I said earlier, the Obama administration really launched the scorecard, and this was the first time that consumers could see, for one institution, all the stuff about debt and debt repayment and post-enrollment earnings, and they could see those metrics right next to the data about the tuition and the costs. Department of Ed could not have done this without technology advancing to the point that we could really wrap our minds around really truly big data sets. This downloadable data set I just referred to has over 3500 variables, so it’s not for the faint at heart. In order to measure graduates’ earnings, or the earnings of formerly enrolled students, because both groups are looked at. In order to do that, you got to have two things: you have to have tax records that indicate was the person employed, were they employed full time, and what was their income, their earnings, and you have to have something with a matching field that says what school did this student go to, did they graduate, and if they graduated, what field? No single university has this. So, the way this works is the Department of Ed has the student identity information from its loan and grant recipients, and all the earnings data is only measured for students who have taken out federal financial aid, either through a loan or by getting a Pell Grant. So, the Department of Ed has these files that have individual identification and information about whether the student graduated and what field. They send these files over to the Treasury Department. The Treasury Department does a merge and match with their records and sends the information back to the Department of Ed. As a little sidebar, we’re going to be talking in more and more depth today about this, and the fact that we’re limited to just looking at loan and grant recipients is a significant limitation. The sidebar I’ll drop in right now is I am surprised the Department of Education has not yet asked all of us to provide full identification records for all of our enrolled students. The reason I’m surprised they haven’t yet done this, there’s two things, [LAUGHTER] the first one is the Department of Ed did ask for student identified records earlier this winter when they started asking for information about access, information so that they could make sure that students who are black or low income were not being admitted when they had lower test scores and high school grades. The data file that the Department of Ed requested this winter is student identified, so they’ve gotten over their concern about privacy issues. [LAUGHTER] The second reason I’m surprised is they’ve been asking states to provide voter record identification, so I think it’s only a matter of time. The other reason, there is another organization out there that’s not really related to this topic we’re talking about, the National Student Loan Clearinghouse, or National Student Clearinghouse. The NSC has student-identified data, and I don’t see how the Department of Ed is going to feel too happy knowing somebody else has it and they don’t have it. So, I think it’s only a matter of time before that little limitation goes away. So, the Department of Ed sends these files over to Treasury, they get back the earnings data. The second data set out there has used the Scorecard file, and this other data set is the . I’m going to be referring to this as access and earnings, or more just Carnegie, the Carnegie framework. The Carnegie framework about access and earnings was released about a year ago, but it was in development for quite a bit longer. Carnegie’s real contribution that’s relevant for what we’re talking about today is they began trying to deal with the fact that in the scorecard the only earnings that people were getting compared to were national, and more recently, statewide data, and Carnegie’s framework argues that earnings for a school’s students should be compared to the earnings of high school graduates in the geographic areas where those students come from, not necessarily to the whole nation, and not necessarily even just to the state where the school is located. This issue about adjusting the earnings to reflect regional differences in incomes is definitely confounding the Department of Ed right now. The OBBBA is in negotiation. There is a negotiated rule making going on right now, and one of the last things that the Department of Ed is trying to figure out how to deal with before they roll out this framework, where if your program’s earnings are too low, you can’t get loans. The last issue they are mucking with is the regional differences in earnings, and I don’t know how they’re going to do it. The Carnegie folks did it one way and sort of got the ball rolling. Carnegie’s real contribution here, I think, is showing how incredibly difficult this is going to be. We’ll have to see, we’ll have to see how they do it, and it may take a few years before they really figure out how to most appropriately set a benchmark for earnings for every program in every school.

John: So, are you saying that the earnings of people in rural Alabama might be different than Manhattan? [LAUGHTER] Who would have thought?

Debbie: They are. Yes.

John: Among the other problems there that you’ve noted is that there’s a fair amount of sample selection in the sample that they’re working with, and you’ve already referred to one aspect of that. Could you talk a little bit more about that, and how that might affect the validity of the earnings measures?

Debbie: Yeah, yeah, so what John just referred to is the fact that only students who get federal financial aid are currently included, and for many of us that doesn’t seem like very much of a limitation, because so many of our students have to get loans and a huge percent of students get Pell grants, but there are a bunch of schools out there where those percentages are really, really small, and I went and I looked up Harvard’s data, just because everybody knows Harvard, you know, Harvard, Harvard. And I went and looked at Harvard because I anticipated Harvard students would not need to rely a lot on federal aid, not because I think Harvard students are rich or poor, I don’t particularly know, but Harvard is very, very wealthy, and they’re able to provide a lot of institutional aid, which keeps those students out of this federal tracking, tying together with your Treasury data. So I looked up Harvard. In a recent year, 20% of their students got Pell grants, and 4% of their students took out loans. So by the time that cohort gets through the system, only a quarter of the students would have their wages reflected in these median wages. I don’t really know what this is going to mean. Is this good? Is it bad? It makes me feel uncomfortable about the validity of the data. Another thing that I know with this coverage, I have been watching that the percent of students in the United States agreeing to take out loans fell after COVID and did not rebound. I think this past year they have started rebounding a little bit. What this means is that the coverage overall, nationally, school after school after school, this coverage rate is going to be going down for the next several years. So, this is another reason why I am expecting the Department of Ed to be knocking on everyone’s doors very soon, saying: “The gig is up. We want a student-identified file. We want to know everyone who’s enrolled every semester. Here’s the portal. Drop the data.” Another issue that kind of deals with coverage that gets very confusing has to do with the timing, and this is kind of devastating to me, is a validity issue. And what I mean by timing is, how long do you wait after a student has left the institution, or after a student has graduated. How long do you wait before you go and grab their earnings data? Okay, so timing issues can be very confusing, and what I would really encourage anybody who’s paying attention to this stuff, don’t try to sink into your mind exactly how these things are measured. When you go to one of the websites, look for the information notes, they will tell you exactly what they’re measuring. Carnegie’s Access and Earnings framework originally relied on a measure… they looked at students’ earnings eight years after the student initially enrolled, and there are reasons why they made that choice. One of the things that higher ed has been deeply criticized about is the poor retention of students after the first year, and there’s a huge amount of tax money that goes to students who are at the institution for one year, and then they never really do anything with that education. So looking at students based on where they started is not stupid, but it is kind of misleading. I think when people say, “Oh, here’s Cornell’s earnings data,” I think people assume that’s the earnings data of students who graduated from Cornell [LAUGHTER] or from whatever school, and the current version of the scorecard has flipped over and is relying almost exclusively on earnings data measured four years after the student graduated. So the cohorts are now measuring students who actually completed the degree, which is probably more valid for what people actually think they’re looking at, and they give students four years, so now it’s like, okay, four years… is four years long enough to get a valid measure of a student’s earnings potential? I think this is a huge limitation. Many of the highest earning fields, and I’m thinking like medicine and law, those are going to be either really hard or downright impossible for a student to complete the whole thing and be out and earning. So a lot of fields where students go on to complete masters and doctorates, those students are ultimately going to be the highest earners, but they’re not going to be earning that stuff four years out, so I was thinking about, like, where I was four years after my undergraduate degree. I had gotten my first full-time job, but it was just a job to pay the bills, because I was working on a PhD. So, was I earning more than a high school student? Maybe. I don’t know. I was mostly a graduate assistant, getting paid a graduate fellowship. Even fields where students don’t go on for advanced degrees, I think that there’s a lot of research that indicates people who complete a baccalaureate degree will ultimately have higher lifetime earnings, even if they don’t get an advanced degree. We know this lifetime earning data exists, so is four years long enough to predict the lifetime earnings of a particular person in a particular field of study from a particular university? I think it’s a big validity question. The last thing that I wanted to mention is this timing, all this stuff about the validity of the timing of when the data are grabbed, it’s grabbing data right smack at an important time for young families that are deciding to have kids. I looked up before coming today, because I knew I wanted to make this point, because I think it’s important, the average age for women in the United States who have had children at this time, the average age of when they had their first baby was 26 that’s just right in this four years… you graduate when you’re 21 or 22 So I mentioned this because it’s very common for young families, for either the husband or the wife, the mom or the dad, or one parent, to back off a little bit from working full time or working at the high pressure job. So there’s a lot of problems with the data.

John: Going back to what’s referred to as the Mincer equation, which was first estimated back in the early 1970s. economists have been estimating the overtaking age, the age at which the earnings of college graduates overtake the earnings of high school graduates with equivalent demographic and ability characteristics, and back then was about seven years after graduation. More recent studies suggest that it varies a fair amount by discipline and by occupation, but it’s generally between six and eight years after graduation from college, which means on average the fact that people are earning more than high school graduates puts them way above where you would expect them to be had they not gone to college, or people with similar characteristics would receive had they not gone to college. And so it’s really troubling that they came up with a metric that’s so evidence-free, basically.

Debbie: Yes, [LAUGHTER] problematic.

John: And also, you mentioned law school graduates, so they might be a year out of law school, but some of the people who come out of law school are going to be working with large firms for ridiculously low pay, and those are the people who are going to have the highest rate of growth of earnings. Other people will start their own practice and will have higher starting salaries than those who go for those large law firms, at least in terms of hourly wages, they’ll be paid a lot less, but they will end up with a slower rate of growth of earnings, and there’s another classic economic study back during this period on on-the-job training and the fine structure of earnings, which notes that holding other things constant, people in the same occupation with lower starting salaries tend to have higher rates of earning growth over time, because part of what they’re picking up on the job are some skills that will improve their productivity, and they’re essentially accepting lower wages during those times in return for the increase in training or human capital development they get on the job, which is certainly true in medical school, because then they’re starting their residencies, where they’re paid again ridiculously low amounts, but they end up with much higher earnings just a few years later.

Rebecca: I knew John would be passionate. [LAUGHTER]

Debbie: Yes. And everything he said is true today, the research is still valid and important.

Rebecca: One of the other things that you mentioned is those regional variations that Carnegie was developing, or kind of initiated. Can you talk a little bit about these regional variations, and like, what does their framework mean? How did they do it? How maybe should they do it? [LAUGHTER]

Debbie: Yeah, so like I said, when they first put the scorecard out, my perception is that was kind of a consumer protection thing, like here’s the tuition, here’s the percent of students who have loans, here’s the percent of students who have paid back their loans, and here’s the average amount that their graduates earn, without judging whether or not that average was adequate or met a benchmark. Well, those days are behind us. The OBBBA wants to establish this benchmark of acceptable earnings, and the negotiation is moving forward. It seems very clear that they’re going to be using this high school degree population as the benchmark, but obviously people earn different wages based on different regions and different wages based on whether or not you’re in an urban area or a rural area. So the Carnegie framework is the first place I’ve seen where they tried to take this on. So let me tell you how they did it. A little segue, when Carnegie adjusted for regional variation, they have also adjusted for variances based on race and ethnicity. Carnegie’s argument was, if a student goes to a certain university, when they get done, that student should earn as much as high school graduates matched by the racial and ethnic distribution of the service area of that university and weighted to reflect the earnings differences of different racial groups, so they did this racial weighting. I’m not going to talk too much about that, because the OBBBA, the language I have seen, specifically says that the earnings benchmark cannot be adjusted for race. They want a race-neutral approach, just like they want race-neutral admissions. This is part of what we’re going through and working on with the Department of Ed right now. So let me talk about how they do the regional stuff. What Carnegie looked at, they said, “Okay, let’s look at where the entering class of a university is coming from.” The Department of Ed, for 20 or 30 years, has collected this data. It’s called a migration file. In the migration file every second fall, you’re not required to submit migration data every year… I don’t know why not… but in the file, the institutional researchers at the university have to go in and look and say, “Okay, how many people are in my freshman class, and where did they come from? How many of them came from New York State. How many of them came from Pennsylvania?” And the file goes through all of the states, so that data exists in IPEDS. IPEDS is the federal government’s collection of data about colleges and universities, and it’s a massive data set. So Carnegie said, “Well, gosh, since IPEDS has this migration data, let’s use that to figure out this concept of a service area.” What is the service region of this university? So, if a university has 90% of its students are coming from New York and 10% are coming from Pennsylvania, its earnings should be similar to the high school graduates of New York, weighted a little bit to reflect the fact that people from Pennsylvania have lower earnings. Now, so a 90%, 10%. In the Carnegie framework, it takes the top three states, so it says, okay, school X. If you had 50% of your students from one state and 40% from a second state and 5% from a third state, your earnings benchmark will be the weighted average of those elements, and then the remainder, the last little bit, we’ll just use the national data. This sounds kind of reasonable, I guess. Carnegie was very careful developing this. They got feedback, they got pushback from the two year schools saying, “Well, wait a minute, everyone at our university comes from one state, but they don’t come from all over the state, they all come from my county, or these two or three counties, because we have a lot of two-year schools out in rural areas.” This is a really serious issue, because the state earnings levels are very influenced by what’s happening in the big cities, and rural incomes tend to be much lower than urban incomes. So, Carnegie said, “Well, this is a reasonable complaint, so we’re going to back off, and we’re not going to use your state, where you have most people from. We’re going to use this core-based statistical area to gather your data.” There are a couple of other problems before we really get into the CBSA, and what that is. There are a couple of other things about relying just on the migration data that concerned me. My professional background was all in public comprehensive universities, and every place I ever worked had a huge pool of students who transferred into my universities, so I know transfer students may or may not be accurately reflected in this migration data in the schools where I’ve worked. In the systems where I’ve worked transfer students had a very different geographic distribution than new freshmen, and I think this is true for a lot of public comprehensive universities that the freshman class tends to come from all over the state much more, but the transfer students tend to be students who started at a nearby community college, and now they are your own community students, so that migration data that we’re using may not really be a great fit. The other thing that’s problematic is we are just assuming that the geographic distribution of graduates is the same as the geographic distribution of new entering freshmen. It may be, it may not be, and it may or may not matter, but these kinds of assumptions that are baked into the method, I think, cause people to feel a sense of discomfort about really feeling confident that the data really are measuring what we think they’re measuring,

Rebecca: So Debbie, I have another question. It seems like most of the data that you’re talking about is really focused on the states, so not necessarily international students and entirely undergraduates.

Debbie: Yes, and no, all of the earnings data is for US citizens only, and I will remind you that in order to have a student’s earnings get studied, they have to have gotten federal financial aid. International students are not eligible for Pell grants and for federal loans. So even if a former international student got OPT training and landed a job and became naturalized, we would have no way of knowing… the Department of Ed would have no way of knowing to tell the Treasury Department, “send me that person’s salary and earning data.” So universities that have huge international student bodies, especially if they’re doing really well, and supplying really fabulous students into high-need areas here in the United States. All of that is just kind of a loss. Now, your other question, like “Debbie, all you’re doing is talking about undergrad, undergrad, undergrad. What about graduate students?” The research that I really focused on this winter was about this Carnegie Access and Earnings framework, which is exclusively about the undergraduate experience. The scorecard data does include earnings data for graduate students, and the OBB BA work going on right now is also going to be relevant for graduate students. Graduate students are eligible to get federal loans in certain circumstances, and those loans will be cut off if a student gets a graduate degree from a school where their program is not earning on average as much as baccalaureate earners in whatever state or region the OBBA decides to look at, so it’s the same kind of framework, notched up one level.

Rebecca: The other thing that I was curious about is the data that you were talking about, is where students are coming from initially, which may not be where they are working.

Debbie: Yeah.

Rebecca: Am I right about that? [LAUGHTER]

Debbie: Oh, yeah. [LAUGHTER] And I’ve got a bunch of notes about this thing, and I definitely wanted to hit this. So you’re jumping into something that I already also agree is really a problem. Two issues: do students go back to where they came from? No. The other thing that’s really problematic, I think, is that the earnings data are all aggregated on the basis of what the student studied, not what they’re actually doing. So, I was thinking in my head, like examples, I know your field is art and design, design arts. Someone who studies design arts and graduates with an art degree and goes and does marketing in New York City is going to have a very different earnings experience than someone who completes an art degree at the same school and stays in that local area and runs art programs for the YMCA. These are both wonderful jobs, both jobs that would require an art degree to be really effective, but they’re incredibly different fields. I mean, one is marketing and the other one is social services, and that’s not accounted for. So, what a person’s actually doing with their degree is not part of the mix.

John: You talked a little bit about these core-based regions that are used for measuring geographic effects. What are they, and could you tell us a bit more about how they’re defined, and whether there’s some problems with the use of those.

Debbie: Yeah, the two year schools kind of pushed back and said statewide data doesn’t make any sense for us. So the Carnegie Foundation said, “Okay, the regional adjustment for two-year schools, we should use the data from the closest geographic region to their service area.” The Census Bureau has these geographic entities called core-based statistical areas. A CBSA is a geographic area that contains a large urban center, and then the surrounding areas that are kind of integrated economically with that urban center. Like, I live in Oswego, New York, which is about 30 miles north of Syracuse. I’m in the Syracuse CBSA, which makes perfect sense. There’s so much stuff that we depend on Syracuse for, and people go back and forth there all the time. So, Carnegie said, “Okay, let’s use core-based statistical areas for the two-year schools, and let’s also use them for these public regional universities.” There’s this category of universities called a regional public university, or an RPU, which is most public universities that are not focused on research. So, in New York, Stony Brook, and Albany and SUNY Buffalo, those are all research-focused institutions, they’re not RPUs. Almost all of the other four-year public universities in New York are considered RPUs. So, Carnegie said, “Well, they’re called regional, they must be serving their region. Let’s do all of our benchmarking for them based on the core-based statistical area.” Well, I really dug into this with my research, because the truth of the matter is most of these regional public universities are not recruiting heavily from our own regions. At most, RPUs would have maybe 20 to 30% of the students from their region. We’re all recruiting heavily in the big urban areas, because that’s where the students are. This is the whole piece of this enrollment cliff. Not only is certain states and regions losing students, but the students who are left are in the cities, and if we want to maintain universities out in the smaller communities, we’ve got to move the students out into these smaller communities. So I did some actual sensitivity analysis to see, does it matter? Does it impact the outcomes for these RPUs in the Carnegie world if you change from looking at them through a core-based statistical area lens, or using just their regular state lens?” And there’s a pretty big impact. It really can make kind of a big difference. One of the other things I looked at, just to sort of confirm for myself that this is kind of questionable, is I was thinking all these RPUs have… not all of them, but many of them… have huge dormitories, [LAUGHTER] and we have the ability to house huge percentages of our student bodies. So, while most two-year schools don’t have dorms, and the students have to come from right there in that community, that is just not true for the RPUs. I did a lot of work looking at the impact of this flip between CBSA and state data on the metrics measuring diversity. I didn’t do as much looking at the income piece, but it’s definitely a problem. Most RPUs are not getting the bulk of their students from their CBSA, and yet their benchmark salary is being determined, in very large matter, by the incomes in that CBSA. Is this good? Is it bad? I don’t know. It is a validity question, because we’re measuring something, thinking it means one thing when it really might not.

Rebecca: One of the other metrics that you were talking about is how the Department of Ed is comparing to median salaries of high school graduates. Can you talk a little bit about how they’re doing that, and what concerns you might have around that, in terms of like how they’re benchmarking which programs get loans.

Debbie: I’ve been speaking mostly about how the Carnegie made adjustments in order to accommodate regional variation. I want to make it clear at this point that the Carnegie framework did not consider field of study, which is where I think you were kind of starting to head, Rebecca, because it’s the field of study that the Department of Ed wants to use to cut loans off. They are not suggesting cutting off loans and grants to entire universities, although that is a possibility if a university has a really large proportion of its programs failing to meet the benchmark, then they could talk. I don’t know. But it really is this program level data. So, my understanding is that the Department of Ed, right now, is trying to figure out how to do some regional salary adjustments that may or may not look like how Carnegie did it, but the OBBBA data set is going to be doing these regional adjustments on salaries aggregated to reflect program of study, so you can go in right now to the scorecard, and you can go into fields of study, and for fields of study that have an adequate number of graduates, you can see what is the median earning for those graduates from that program four years later. On the same page, it has a little bar that says here is the average earnings of high school students in the United States at this point in time, and then there’s a bar right beneath that that said, and here’s the earnings for this school’s state. So right now OBBBA would be leaning on a data set, or the scorecard is saying here’s the field of study, but everybody gets matched up to the same national high school graduate earning data, or state high school earning data, and what I mean by high school earning data, it’s earnings of people who are employed full time in that year whose highest degree is a high school diploma.

Rebecca: So basically the numbers are comparing someone who studied this particular topic with anyone who’s in any job with a high school degree [LAUGHTER] in any field. [LAUGHTER]

Debbie: Yes, yes, and you know something that I haven’t really thought too much about, but it’s one of those things that I think I think about it in the middle of the night. The federal government right now is spending a lot of time and effort to make more federal funding available for short- term academic programs, which is like technical training. I feel like the federal government is working hard to improve the salary and earnings [LAUGHTER] of people with a high school degree, you go and get a certificate in a particular field, which is great, and I completely support this, but these high school earnings figures, I think, are going to be coming up. If the federal government is successful, the benchmark that they’re going to be comparing the four-year schools to is going to be going up more. I’m not really sure that’s going to happen, because I think earnings are really more a reflection of the labor market than they are a reflection, particularly of field of study and variances between different programs. Another problem, though, that I really want to talk about, and I hope this doesn’t give you heebie jeebies, Rebecca, because I know you’re more of a qualitative person and less of a quantitative person, but all of this benchmarking is going to be made based on comparing median earnings of a group of people to median earnings of a larger group, the high school comparison, so we really have to ask the question, we hot to dig back and think, okay, what is a median, or even what is an average, and what does it mean to enact a policy where we treat an entire group of people in a particular way based on the average of a group that that person happens to be a member of. This is a bigger problem, really, for Carnegie, because they were putting people in groups left and right, but this is a problem. This fact that the median is not necessarily particularly representative, because there are people who have much higher salaries and people who have much lower salaries. So, how fair is it to treat everybody in a program one way because of a median value, there’s two real issues here. The first is the issue of the cutoff value. I’m trying to think of a really good example to illustrate the cutoff value problem. In higher education, it’s very common for universities to say “everybody with a high school GPA of 3.5 and above is automatically admitted, directly admitted.” The cutoff problem is that there’s going to be a lot of people who have a 3.49 who have very, very good reasons for arguing that their 3.49 justifies their admission to this university to much greater extent than some other people that have a 3.5. Maybe that person went to a very exclusive, difficult high school, maybe the person began high school speaking a foreign language, maybe the person had trauma in their last year, all that stuff, and we all know colleges have these vast mechanisms for making exceptions that are required because of the cutoff value problem. Whenever you’re going to take a quantitative element and put people in groups, you’re going to have a cutoff problem. It’s like for the OBBBA, the cutoff problem is there’s going to be programs where the median high school salary is only $1 or two or three, it’s very, very close to the median for this group of students, for whatever reason. And that median could be low for a lot of reasons, maybe it’s low because that program has a bunch of students in grad school, maybe it’s low because those people all decided to take a mission year and they’re just now starting their careers. Whatever it is, you’re going to have people really close to the cutoff value. The second numeric problem, you have to think back when you were in stats class and they made you learn all about the standard deviation and the variance around the midpoint, this is a huge, huge problem. So, just to illustrate this, if you think about a couple of universities, and you think about business school graduates, you could have one university where the average business school grad earns 50,000 and another one where the average earns 40,000 so there’s a $10,000 difference between those two. Well, I can guarantee you, if you looked at either one of those, at the 40,000 you would find a lot of students earning over 50 and even over 60,000 and you would find lots of students earning 30,000 and below. The definition of a median is that half the people are above and half the people are below. There’s been a lot of research in higher education, specifically the research I’m most familiar with was done by the National Survey of Student Engagement, the NSSE. About 30 years ago, the NSSE started collecting student experience data, and very quickly they started putting out data showing that the variance of student experiences within any single school is vastly greater than the variance of student experiences from one school to another. This is just by definition, this has to be true in this earnings data. S o we’re very likely going to be eliminating programs that could have served students where we would have predicted that at least half of those students would have done just fine in the earnings metric. Now the scorecard has a ton of data about this variance measures. For every single program, they show the standard deviation, they provide a mean, they provide a median, and they provide the quartile values at the third quartile and the first, so that you can measure and see how wide is the gap within which 50% of students fall. The fact that they’re providing all this variance data tells me the people at the Department of Ed deeply understand the importance of variance, but deeply understanding it mathematically doesn’t explain to me how they’re going to accommodate for the variance when they start deciding which programs get cut off, because they have not talked about that at all. So there’s a lot of stuff really coming out here, [LAUGHTER] a lot of questions still on the table.

John: And you mentioned the cut off value, and how it’s somewhat arbitrary, and it’s very precise, though, they come up with a specific value, and yet so many of the benefits of education are not measured in salary. People with college degrees have lower unemployment rates, they have longer lifespans, they have higher quality of life, as measured by all sorts of happiness surveys. They have lower probabilities of divorce, they’re less likely to commit suicide, they’re less likely to commit crime, and so there are many aspects of jobs and the returns to education that are just completely being ignored by this focus on one specific value, and that’s kind of troubling.

Debbie: It is troubling, and it’s very, very sad. I hope that we can eventually, as a country, return to a time where we value learning and personal growth. I think our labor market is kind of not really supporting all of our people particularly well right now. I would like to live in a world where if someone is called to ministry, that they don’t have to worry [LAUGHTER] that they can’t go and get a degree that they can afford to pay for, because being a minister is not going to pay very much, or if a person is called to be a pianist, concert pianists don’t always earn a lot of money. Does that mean we taxpayers, with our taxpayer support, that we shouldn’t support that person’s education? I don’t want to live in a world that doesn’t have concert pianists who have been supported all the way through getting a Doctor of Music Arts, because the people who have those degrees are amazing in the way they connect our world to our history through music, and I’m picking on fields that are often sort of the punching boys for “don’t study theater, you’ll never make an income.”

Rebecca: But these are the fields that often contribute a lot to a community, and these measures don’t actually have anything to do with community benefit or the public good.

Debbie: Yep, the public good.

Rebecca: So, on that note, [LAUGHTER] we always end by asking, what’s next?

Debbie: I’m so glad that you are ending with that, because I think there’s no question we will be… we in higher education… will be controlled by these student earnings data for a while. This final OBBBA ruling is supposed to come out of its last session of a negotiated rule making at the end of May, we’re sitting here, May of 2026, we are speaking about this as it’s happening. If you’re starting to pay attention to this, or you’re looking for information about it, I want to enable you to learn more and be empowered. So, really, what’s your favorite publication for higher ed stuff? Is it the Chronicle of Higher Ed, is it Inside HigherEd or even The New York Times and will be covering this information. What you’re looking for is, they might speak about this ruling as financial value transparency work. The old language, which some of us are still kind of stuck in, we talked about this as gainful employment regulations. I have just started seeing reference to a new acronym, STATS, which stands for Student Tuition and Transparency System. I’m not sure, but I think that stats may be how the Department of Ed plans to rebrand the Scorecard, so that when they bring it out as the basic thing undergirding this new regulation of limiting students’ access to loans and Pell grants, that STATS is what we’re going to be looking at. So those are some keywords to look for and listen for, and the last thing is wherever you are, figure out who your institutional researchers are. Make sure that they are pulling up these data files. If you Google Scorecard and higher education, if you Google access and earnings, or if you look for Carnegie classification, all of these will take you to these websites where you can look for the data and download the data and learn about its structure. So don’t wait, be empowered. The federal government has a lot of power in this conversation right now, because they control the data, but we can at least begin to educate ourselves, which is why I wanted to come and talk about this, and I really appreciate that you guys gave me the opportunity, and you ask me great questions, and you listen to my answers, and I hope you’ve learned some about how the data are put together and what we’re going to be looking for in the next couple of months.

John: So one implication of all this is that, in terms of admissions decisions, would this whole incentive system encourage, perhaps, colleges to only accept white males from higher income households because they end up with higher salaries on average.

Debbie: I don’t think we’re going to go there in higher ed. What I think is more likely is an acceleration of what we’re already seeing. I have a daughter in school in Indiana, and she keeps me apprised of what they’re doing out there, so I pay attention. I think many states have used the OBBBA work as a reason to go through and cull their programs, not particularly on the basis of earnings, but to get rid of all the small programs, and these two things tend to go together. They just do. So, I know Indiana has chopped a ton of programs. Universities are eliminating small programs left and right under an argument that they’re saving money, that they don’t have enough resources to maintain these programs. Any university with an IR person worth their salary is making sure that universities do not eliminate small programs that have very high earnings. I worked at a university that had a really small engineering program. They’re not going to eliminate that program, [LAUGHTER] even though it’s really hard and expensive to run, but those students do earn really high salaries. I think, getting to your point, John, universities are so desperate for tuition revenue, I do not think that they are going to filter for the potential future earnings of white men. Some might, but I don’t know. I’ll do that research four years from now, and I’ll come back and let you know how it’s going. [LAUGHTER]

John: It’s just one of the worst possible outcomes of the incentive system that they’ve devised.

Rebecca: I think it’s really helpful for faculty to be more apprised of this information, because it’s kind of zooming past us as policy and regulations are changing so swiftly, and so having this explainer is very helpful. [LAUGHTER]

John: Yes, thank you. This was really good and it’s things that I think most faculty are not that aware of right now.

Debbie: I think people are viewing it as something that is happening to us, and as I close, saying yes, that’s kind of it, it is happening to us. There may eventually come a time when we can speak back and push to recreate a more equitable, more reasonable understanding that incorporates more of the community values and the public values that we get from higher ed.

John: And we are lucky to be in a state where there is much more support…

Debbie: Oh, yeah…

John: …for the positive aspects of education.

Rebecca: Thank you so much.

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

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

John: Editing Assistance provided by Madison Lee.

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447. UDL at Scale

The Universal Design for Learning framework is often adopted by individual faculty for particular courses. In this episode, Tom Tobin joins us to discuss the potential benefits associated with an institution-wide adoption of this framework.

Tom is an internationally recognized scholar, author and speaker on technology mediated education, especially copyright, evaluation of teaching practices, academic integrity, accessibility, and universal design for learning, which is a topic we’ll be talking about today. He helped found the University of Wisconsin Madison Center for Teaching, Learning, and Mentoring. Tom is on Ed Tech Magazine’s Influencers Dean’s List, and has been honored with the Wagner Leadership Award in Distance Learning Administration, and he is one of EduFlow’s global top 100 learning influencers. Tom serves on the boards of Advances in Online Education, The Online Journal of Distance Learning Administration, and the Oklahoma University Press: Teaching, engaging and thriving in higher ed series. We’re very glad that he’s made time to be with us with all these activities. His books include Evaluating Online Teaching, The Copyright Ninja, Reach Everyone, Teach Everyone: UDL in Higher Education, Going Alt-Ac: A Guide to Alternative Academic Careers, Implementing UDL in Irish Further Education and Training, and what we’ll be talking about today, UDL at Scale: Whole-Campus Universal Design for Learning, which is coming out this summer.

Show Notes

Transcript

John: The Universal Design for Learning framework is often adopted by individual faculty for particular courses. In this episode, we explore the potential benefits associated with an institution-wide adoption of this framework.

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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 Thomas J Tobin. Tom is an internationally recognized scholar, author and speaker on technology mediated education, especially copyright, evaluation of teaching practices, academic integrity, accessibility, and universal design for learning, which is a topic we’ll be talking about today. He helped found the University of Wisconsin Madison Center for Teaching, Learning, and Mentoring. Tom is on Ed Tech Magazine’s Influencers Dean’s List, and has been honored with the Wagner Leadership Award in Distance Learning Administration, and he is one of EduFlow’s global top 100 learning influencers. Tom serves on the boards of Advances in Online Education, The Online Journal of Distance Learning Administration, and the Oklahoma University Press: Teaching, engaging and thriving in higher ed series. We’re very glad that he’s made time to be with us with all these activities. His books include Evaluating Online Teaching, The Copyright Ninja, Reach Everyone, Teach Everyone: UDL in Higher Education, Going Alt-Ac: A Guide to Alternative Academic Careers, Implementing UDL in Irish Further Education and Training, and what we’ll be talking about today, UDL at Scale: Whole-Campus Universal Design for Learning, which is coming out this summer. Welcome back, Tom.

Tom: Thank you, John and Rebecca, it’s a pleasure to be back on Tea for Teaching. Thank you for having me.

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

Tom: I am. I have some Pure Leaf Unsweetened Iced Tea. So that sound of ice cubes that you hear that’s my preferred form of my iced tea.

Rebecca: Sounds nice and refreshing.

John: And I have spring cherry green tea today. Given that we are apparently in spring, the snow has stopped at least for a few days, so we’re moving into spring here.

Rebecca: I have Lady Grey today.

John: Very good, one of my favorites. So we’ve invited you here today to discuss UDL at Scale. While most of our listeners are familiar with UDL to a greater or lesser extent, could you at least provide a brief overview of the UDL framework to help set the framework of the discussion?

Tom: Absolutely. Universal Design for Learning, or UDL, is a framework based on how we learn as human beings. So it’s based in neuroscience, fairly loosely, if I’m being honest. That when we learn anything, we have to activate three different chemical pathways in our brains. We have to have a reason to learn something. We have to have the content that we’re learning, and we have to be able to reinforce it, practice with it, tie it to other things that we already know. And so these three phases of the learning process, which are themselves a pretty good simplification of very complex chemical cascade in our neuroanatomy, they correspond to three different things that we can do as designers to help people to get started and stick with us when things get challenging, have the information to be able to learn it, and then to show what they know and practice with it. The neuroscientists at CAST in Boston, way back in the late 1980s and early 1990s, they discovered that if we give people one way to get started or take in information or practice, then we’re leaving out other ways that people could engage with that stuff. So what they said was, make more than one way, make multiple ways for people to get engaged, for people to take in information, and for people to practice, and people will choose which one seems best to them in the moment, and that helps the learning to stick. So Universal Design for Learning asks us, as instructors, developers, designers, to make multiple ways that people can get engaged, take in information, and show what they know.

Rebecca: Can you tell us the origin story of your new book, UDL at Scale, and its relationship with your previous work?

Tom: This is a very different book than my previous two books on Universal Design for Learning. When I did Reach Everyone, Teach Everyone: UDL in Higher Education with Kirsten Behling and then when I did the Universal Design for Learning in Further Education and Training for the Irish government, those were practical application based books. People were hungry to have, how do I do this in my own classroom or my own institutional design? That was at an individual level. People wanted to have the nuts and bolts of, what do I do when I’m designing a lesson or an activity or an assessment? One of the big challenges that you started to see over and over again is that whether it’s by law or by policy or by people adopting good ideas, we’ve been putting the burden of making things accessible on the shoulders only of instructors. And we also have not been giving them any release time or extra money or a graduate assistant, or we’ve not taken any work off their plates in order for them to be able to make their materials and engagements more inclusive and more accessible. So it’s not actually a wonder that only about 10% of instructors, wherever we look, have adopted inclusive design techniques of any kind, let alone a specific one, like the Universal Design for Learning Framework. Because of that, when I would talk with boards of trustees, college presidents, provosts, deans, campus leaders, and I would say, “You know that you have these legal requirements.” In the United States, we have the Americans with Disabilities Act. In Canada, it’s the Accessible Canada Act. Worldwide, there are laws that apply to the design of content and materials, and we’re not even doing that really well. So when I would talk with campus leaders, and I would say, you recognize that there is this requirement there, but there’s also an opportunity there to lower access barriers and keep our students with us at greater rates, helping with student persistence, student retention, their satisfaction as alumni. Everybody said, “yeah, those are great ideals, and you know, they’re part of our mission and our values, and we just don’t have the people or the time or the funds to be able to do that widely.” So I wrote the book UDL at Scale as an advice guide and a how-to-manual for campus leaders who think they don’t have the resources to actually get that stuff done. They do, and it’s actually when we think about lowering access barriers, not just in the classroom, not just putting the burden on instructor shoulders, but when we think about training everybody across all of our service touch points: the library, mental health counseling, academic counseling, IT, the media services team, you name it. Training all of those service touch points, to be a little bit more inclusive, to give a few more options, to lower accessibility barriers. It turns out that’s a really good financial decision. And so that was the genesis of the book.

John: In terms of that financial decision. What does the research tell us about the effect of UDL on student success, completion, retention, etc.?

Tom: Oh, this one’s great, because we actually do have research about the impact and effect of inclusive design changes, and every leader at every campus has been tasked with being a change agent. We want to move our institutions into spaces where we are making changes because they are driven by the needs of our employer bases, the needs of our students, the needs and vision of our institutions. So here’s the data, folks. Students, are five times more likely to earn a credential when they feel that they have a voice in their education, when they feel that they have a choice in how they move through their educational paths, when they feel a sense of belonging, that they are a part of the institution and its culture and its community, and rather than apart from it, when they feel like they have some agency, like they’re not just being told, “do this, do that, do the other.” That they have some say in how they move through their conversations with a college or a university, and when they have a sense of safety, that they are psychologically okay to be wrong, to explore, to get things wrong, to fail at things and come back to them. Those five things: voice, choice, belonging, agency, and safety. When students say “yes, I felt these things” during their educations, those students are five times more likely to persist and earn a credential with us. So when we think about all of the touchy feely aspects of it, that actually translates into money, that translates into tuition dollars, that translates into students not dropping out or stopping out as much as they otherwise might. And a lot of different ways that we can approach that have to do with access barriers, and we’ve talked about this in other books, but instructors aren’t the only teachers on our campus. Your media services people are teaching students how to engage with materials and content. Our librarians are teaching students how to discern good information and reliable and trustworthy information from slop that’s out there on the internet. and on and on and on, right? So our registrar is teaching students how to navigate the systems of the college or the university through the catalog and the various programs that we have on offer. So wherever we look at engagement with students, they are, in many cases, teaching engagements, and so we can design for those engagements in order to give people the kinds of choices that you heard about as we started our conversation. Multiple ways to get started and stick with it, multiple ways to take in the information that they’re learning about, and multiple ways to take action or express themselves once that they’re engaged with our service areas across all of our service touch points.

John: When you talk about people being five times more likely, is the benchmark of that students in high school or middle school and so forth, in terms of the probability of going to college and acquiring a degree? Because we do have over half of the students who enter college leaving with some sort of a credential, at least, on aggregate. So to get that number, it would seem like it would have to go back a bit to an earlier stage.

Tom: Oh, I’m actually not even talking about being that ambitious in our research. What I’m talking about is of all the current students who enroll right now, regardless of whether they are 18 years old and coming out of high school, or whether they’re 50 years old and coming back to re-skill. Out of all of those folks, you are correct. About half of them end up with a credential after 6, 7, 8, years usually. So the myth of the undergraduate who gets the degree in four years, that full-time student, is kind of a unicorn. At the same time, when we think about the 50% of students who drop out temporarily or stop out altogether, the number one reason why people don’t receive a credential is financial, “I can’t afford to continue now, or I can’t afford to continue at all.” And the research is fairly clear on this one, that the majority of people who stop out or drop out by financial reasons, it’s for $500 or less. So a lot of colleges and universities have now implemented micro-forgiveness programs, where if you owe less than $500 we’ll just write that off, and you keep going. And that’s an investment in the student, and it turns people into degree earners at far greater rates. But what’s the number two reason? If the number one reason is financial, what’s the number two reason why people stop out or drop out? It’s time, it’s the clock. We are all trying to put our educations into busy schedules. We have work responsibilities, caregiving responsibilities, military service, we just live far away from campus, whatever it is. If there’s a reason why people are busy and trying to put things together, and they don’t really fit all that well into the 24 hours of the day, those reasons are out there. So universal design for learning helps make processes go a little more smoothly. Helps students not to have to call back three times to get their question answered with IT. Helps for there to be less rework, and that’s actually one of the central arguments of the book, is that we’re actually making things a little bit more efficient for us as providers of services, and we’re also making things smoother and easier for our students in terms of process. We’ll talk about academic rigor later, but your question is an astute one, and the research that I’m citing in the book is fairly narrow, taking our existing pool of people who start, how many of them will finish?

Rebecca: Well, it’s certainly a compelling argument to implement, and we were talking about the time of not implementing. It costs a lot of time if we have inefficient and terrible processes. [LAUGHTER] We also talked about the burden on faculty trying to meet accessibility requirements, or introducing or rolling out UDL on their own. So if we think about institutional rollout, you can think about is there like aggregate benefits by rolling it out, but there’s also, seems like there might be some startup costs there too, in terms of time and effort. Can you talk a little bit about that?

Tom: Oh, Rebecca, that’s an astute question. Because right now, listeners, we’re recording this in late April of 2026 and in the United States, we just had a deadline to implement the Title II updates to the Americans with Disabilities Act. For those of you not familiar with that, by the end of April in 2026 we were all, colleges and universities, supposed to have all of the materials that we host in internet and in mobile formats comply with the Web Content Accessibility Group Standards. So there are 50 different standards for web hosted materials. And absolutely no one, and I mean no one, was going to be compliant as of the deadline. So the United States Department of Justice and Department of Education pushed that deadline back a year, and now it’s April of 2027. And it’s going to be April of 2027 and we’re going to be wringing our hands, going, “Oh my gosh, we’re not compliant still.” I guarantee that. So there’s a prediction for you, listeners. But Rebecca, your question has to do with that kind of situation. So when we, as colleges and universities, think about compliance with the law around accessibility, that means that that compliance usually falls on individuals’ shoulders. You, instructor of this biology course, you created all these materials, now it’s up to you to make them accessible. And when we think at that individual level, every individual has to be perfect in order for an institution to say that they are compliant. So if you’ve got one department that doesn’t get there, then the entire institution fails. So let’s turn that around, and when we think about Universal Design for Learning, when we’re applying it in an individual course, I actually want people to do a little bit less when we’re thinking about institution-level application. And one of the reasons why people are a little panicked now about those WCAG 50 standards is that we are asking communications professors and art historians and chemists to suddenly become experts in web design, and that’s not what the idea is about with that legal compliance issue. So when you think about people engaging in Universal Design for Learning at the individual level, the impact doesn’t have to be perfect. It doesn’t have to mean everyone does UDL to some perfect level where you get green check marks all throughout your learning management system with a particular tool. Imagine, and I’ve used this analogy before, it’s a good one for this conversation, too. Listeners, imagine that there are 20 steps to shining perfect, accessible content in your courses. There aren’t, but just for the sake of argument, let’s say there are 20 steps. Most places will spend some time, money, and effort to train a couple dozen people to get to step 18. And then we say, “You are our champions. Go train everyone else.” That’s where it breaks down, the “go train everyone else.” Other people are not being given extra time or time off, or they don’t get any support to actually focus their attention on these issues. What I wanted to do with Universal Design for Learning at Scale was to offer ways that we not get everyone to step 18, 19, 20, but to get absolutely everyone in the college or the university to step 2. What are some simple things that everyone does that become part of our everyday workflows? And so I’m indebted to our colleague Jordan Cameron at Kennesaw State University. Years ago, she came up with what she called “The Basic Four,” and that was if everybody did these four things, then some people on campus who were specialists could help with the really tough or knotty or detailed nuanced affordances, but everybody would do these four things. They would make alternative text for images that are displayed on websites in the learning management system and elsewhere. They would use semantic structure, so the heading level. putting things as titles in text-based documents. They would use captions or transcripts for video resources. And they would engage in inclusive procurement. They would engage in a process where, if the college or university is buying and supporting technology tools, they would only buy and support tools that were accessible and met those legal requirements. And if everybody did just those four things, it would, One, spread the workload around. Two, it would make sure that the expertise was available for the really challenging cases of accessible design. Three, it would allow everyone to adopt inclusive practices in a low-stakes way across their everyday workload. Meaning it’s not extra to do inclusive work, it’s actually part of our jobs, and it’s not a huge part of our jobs that we would need to fold in new things. So when we think about “the individual has to be perfect, but the collective only has to be good.” That’s what I’m aiming for. So when we think about individual courses with UDL, yes, institution-wide adoption is a little bit different than the sum of everyone just doing UDL in their own space. In fact, I don’t want to turn everyone into experts in the three principles and the nine guidelines and the 36 considerations of the Universal Design for Learning Framework. There should be people on campus who do that and know that. At the same time, everybody should have some real simple principles and practices that they can engage in that are consistent throughout all of our employees in a college or a university. So, excellent question. Thank you.

John: Have any institutions committed to a UDL-at-scale approach?

Tom: There have been, to my counting, 13 institutions who’ve actually gone from, “Hey, that’s a good idea” to “our institution is actually doing it.” I had the privilege and the pleasure of working with five of those. And I actually want to highlight one where I wasn’t the consultant, and they did it all on their own. This is Atlantic Technological University in Sligo, Ireland. And for listeners here in North America, they are a cross between what we would call a technical college, a community college, and a four-year undergraduate college. They do all of those things within their technological university mandate. What they discovered was that they were serving learners who lived all over the place in northwestern Ireland. So folks were living a 45-minute or an hour commute away by car, and a lot of their students were driving very long distances to be able to come to one of their many campuses. So what they did was they adopted an inclusive mindset, and of course, in Europe, they have the United Nations Strategic Development Goals, or SDGs. Inclusion is one of them, lowering access barriers is another one of those. So they used those as their guiding principles, and then they adopted Universal Design for Learning as a framework that allowed them to operationalize those aspirational principles. When we think about how that works, one of the first things that they did was convincing instructors and employees and staff members to adopt UDL. And of course, there were a lot of folks with their arms crossed saying, “I got along without this before. Why do I have to do this now? This seems like extra work.” The one change that they did, and I want to highlight this, their President and their board of directors said, “We want to be the most inclusive college or university in the country, and that’s a goal toward which we are all headed. We are going to put resources toward this in terms of time, people, and money,” but they didn’t do the next step that you might suggest. You might think that the next step was, “Here’s our plan, and now everybody follow it.” Their next step was to move away from “you must,” to move away from mandates and compliance and move into support. They said, “Here’s the goal. We want everybody to achieve these kinds of inclusive practices in your support area, in your department, in your study, and you tell us what it’s going to take to get to that goal, and we’ll support you.” So what happened from a top-down level was that the support that people were asking for was very different in different places. Some places wanted time, some places wanted funding, some places wanted a couple of experts to come in and help them think about things, and the senior leaders at that institution did those things. Did they do them perfectly, exactly as asked? No. At the same time, that listening attitude, that attitude of “this is a service that we’re providing to you,” it was great. When instructors would think about, “Oh, I want to make some of my content more universally designed,” and they would go talk with their teaching center folks or their learning designers, the learning designer would say, “Oh, yeah, we can teach you how to do this, or we can do this along with you.” And so that wasn’t perceived as, “Oh, here’s another law that applies to me, and now I have to do things differently.” It was perceived by instructors as, “Oh, the whole place is moving in this direction, and now this is a service on which I can rely.” Doing that actually spread the workload around and made it a slow and incremental change where people could ask questions and voice concerns and they got listened to. So that was a wonderful way that the folks at ATU actually implemented Universal Design for Learning. So now it’s part of their policy manual. It’s part of their mission and vision, and it’s also part of just the way they do things, because they actually shifted the culture.

Rebecca: What I’m hearing you say, Tom, is that the leadership at the institution modeled this practice by rolling out UDL in a UDL way, and gave folks some agency and some choice.

Tom: Yeah, students are not the only people who are five times more likely to stick with something when they feel they have a voice, choice, belonging, agency and safety, correct? So you’re making a connection, Rebecca, that I think listeners, you can also make. We as employees, whether we are part of the leadership team, whether we’re instructors and faculty members, whether we are service members and staff members. We are also learners, we are also human beings who want to have a clear reason why we’re doing the thing. We want to be able to get access to the information and the content that we’re going to use, and we want to be able to take action in a way that is meaningful for us. So we absolutely can UDL the process of adopting UDL. Yes.

John: Now, on your first book on UDL, you advocated a plus one approach to UDL adoption, and I think that’s something that many people have picked up on as making it a little bit more feasible or easier to manage. Do you make a similar suggestion at the institutional level?

Tom: It’s an unfair question, John, because I didn’t predict when I wrote, Reach Everyone, Teach Everyone with Kirsten Behling, that my idea of approaching Universal Design for Learning, not as here’s three principles that turn into nine guidelines that turn into 36 considerations that we should just approach that as plus one thinking, if there’s one way for an engagement to happen, now make one more way. That was always meant to be a starting point for UDL practice, not the entirety of everyone’s understanding of it. And I’ve been very honored and pleased to see that that plus one idea has really taken root. People know plus one as a way to start Universal Design for Learning, because it’s simple, it’s easy to understand and it’s easy to get your brain around it, and it also is small. Take one action, try one thing, do one experiment, and see what happens. Now you’re asking me to predict which of the ideas from my new book are going to take off because they are so simple or so resonant with people that they’re just going to latch on to it. I don’t know which one of those ideas is going to take off. If I had to put forward two candidates, though, one of them, we just talked about, shift from compliance to support. It seems like a very small and philosophical change. At the same time, changing the messaging around the activities that you’re doing as an institution, changes people’s perception of what those things are. It goes from “Oh, this is required of me,” to “Oh, this is a service on which I can rely.” And shifting from compliance to support narratives, those are the kinds of things that actually shift cultures and change people’s minds. So that’s one. And then a second one, I have a diagram in the book. Listeners, you can’t see it, but I’ll describe it very briefly. Think about a rectangle that is wider than it is tall. Over on the left-hand side, we’ll put “beginner” at the bottom of that. We’ll put “proficient” in the middle, and then we’ll put “approaching expert” on the other side. That’s a timeline of the learning process when people are beginners, when they’ve got a few ideas, when they’re getting it, and they’re almost experts with us. Now draw a line that starts at the very bottom, over by beginner, and goes to the very top, near proficient. We’ve just divided our rectangle into a growing and a diminishing triangle. The diminishing triangle is UDL, Universal Design for Learning, and it’s designed UDL. This is where we, as instructors, designers, developers, facilitators, when people are beginners, we want to design almost all of the boundaries and the possibilities for our learners. We tell them what to read, what to look at, what to do as exercises, so that they will get all of the foundational information. And then, as that triangle gets smaller and smaller over time, we start taking our safeguards and guardrails and left and right boundaries away. And then, by the time people are almost experts, we’re not giving them hardly any guidance or structure, we’re asking them to do. Now, the triangle that’s increasing over time, it starts out almost at nothing when people are beginners. That’s tool use. This is using AI tools, this is using calculators, this is any kinds of tools that people can use to support their learning. When they’re beginners, we don’t want them using any tools. We want them to learn things the hard way, the manual way, the long way, so that they actually struggle with and get the foundational concepts and the practice that we’re doing. Then by the time they’re proficient in the middle there, tool use grows and we start saying, “Okay, now here use tools to help you learn.” This is telling people not to use artificial intelligence to summarize their reading, but to use AI to make study questions about the reading and to use AI to help the learning process itself, but then by the time they get to be proficient, and, after that, when they get to be expert with us, then we say, “Okay, go ahead and use the tools to skip some steps,” because we’re going to use those AI tools, perhaps, to do easier or introductory level kinds of things, so that we can use our human brains to start working on more nuanced or more complex thinking processes. Now, readers, take one more line up at the top of this rectangle, start and draw a rising line from left to right, and we’re going to put one lopsided triangle on top. That is agentic UDL. And it has to go in lock step as our designed UDL diminishes over the learning process, we have to start replacing it with learner agency. We tell our learners not go read this thing and do this activity, but we say, “What kinds of resources do you need or want now? What kinds of activities would help you to learn better on this?” And we become more guides rather than dictators of the things. So when we think about that lopsided house, my hope is that that diagram will take off, because it’s a simple way to think about the entire learning process and what goes into it. And spoiler alert, listeners, it’s fractal. That learning process can happen over the course of an individual lesson, over the course of a unit, over the course of an entire class offering, over the course of an entire credential. So we can go through that process at lots of different scales. So awesome question, and even though it was unfair, I do have two candidates for the things that I hope will take off.

Rebecca: But I think you also reiterated the idea that the plus one can help an institution get started, because it’s iterative, it changes over time, it’s scaffolded, it’s all the things that you’ve been describing.

Tom: And that’s 100% on purpose. I try to offer ideas that are easy to put your brain around, and then get really nuanced and complex when you start implementing them, because you have the agency and the choice to be able to do that design in a way that works well for you and for your learners.

Rebecca: In addition to the support model that you’ve been talking about, as institutions begin to commit to UDL, can you talk a little bit about what kinds of incentive structures they may want to consider to help faculty employees stay aligned with this framework?

Tom: Ooh, can I turn your question inside out a bit, Rebecca? You talked about incentive structures. And incentives are things that we give people when they’re doing things that they don’t normally do. What I want to do is I want to make Universal Design for Learning just part of our everyday workflows. So an incentive would mean “I’m going to pay you extra to do some extra thing” or “I’m going to give you release time, because this is hard and you need some time to do it.” Initially, yes, those things need to be in place because it’s different from the way that we do things now. The goal for me, though, is that we’re not creating incentives that mentally label UDL as extra or on top of the work that we should be doing. So I want to turn the question a little inside out and say that my advice to everyone who’s a campus leader is the very first thing you can do is to put Universal Design for Learning into job descriptions for new hires and into the performance evaluation process. Make Universal Design for Learning expected of people who come into the institution as new employees, and make UDL practices part of the measurable criteria by which people’s jobs are assessed. That’s not exactly an incentive program. And if you just put them into the job descriptions and new hire offerings without actually training people on what that looks like, then you’re setting them up for failure. So having the training available before those changes happen, having an opportunity for people to be assessed on Universal Design for Learning once or twice through the cycle without it counting, so that they get the feedback, but if they haven’t been doing well with it, that they get an opportunity to say, “Oh, wait, I probably need to go attend the workshops or get some coaching or work with a mentor on this.” But I’m a big fan of letting people fail without consequences.

Rebecca: Jeez, that sounds like another UDL principle being highlighted right here.

Tom: It’s not technically in the UDL guidelines, but it does absolutely show up in guideline eight, and we can nerd out about that later. [LAUGHTER] But listeners, what we’re thinking about here is when we think about giving people the opportunity to try things out, work with them in their own fashion, but also holding them accountable, like accountability is a key driver to scaling up any change at any institution, and with Universal Design for Learning, it’s no different. The difference here is that I want to suggest give people an opportunity to have a minute to get in touch with and apply these ideas and then assess them, but don’t ding them if their assessment is poor. Say, “Okay, this didn’t work,” or “You need more time on this,” or “You need this a different way.” Let’s work with what actually is going to help move the needle here. I also want to share, the bar should be incredibly low. We’re not looking for a 100% or a green score in the learning management system on Blackboard Ally, where it’s checking all the accessibility. Universal Design for Learning and accessibility are actually different. Accessibility just means that that’s sort of the floor that’s where everybody should be doing this as a matter of course, and Universal Design for Learning is a framework that allows us to move beyond just what’s compliant. So excellent question, and thank you for letting me play with it.

John: And by making it part of the culture of the institution and part of the regular expectations, then it does build in a little bit of loss aversion, which is a behavioral economics principle, which suggests that the threat of losing a job [LAUGHTER] by not doing it might have much more of an impact than the possibility of getting incentives for doing something. That’s perhaps an overly harsh way of suggesting that.

Tom: Listeners you heard John say that, and not me, right? [LAUGHTER] But I’m also not a behavioral economist, fairly, though.

John: But one, point though, that I think is worth at least discussing is that many faculty become concerned about new initiatives that are initiated by their current administration in the institution, when institutions have a fair amount of turnover at the top. How can institutions build this into the culture of the institution in a way that is going to persist after the administration turns over?

Tom: Ooh, excellent question. There’s a very short phrase in higher education that is meant to be ironic or satiric. It’s called “new provost, new priorities.” So every few years, a new senior leader comes in and they say, “We were doing this, and now we’re going to do that.” And in some institutions, it changes every year or so, right? The campus leaders go to a leadership conference, they hear about the next big new thing, and suddenly the funding and the winds change. It’s a reasonable response if you’ve been there long enough to kind of fold your arms across your chest and say, “I’m just going to wait until the winds change again and change again, and maybe I won’t have to actually do an awful lot with all of these big new priorities.” So there’s an individual and a collective way to respond. Individual way is to play to people’s own interests. And we’ve talked about this in other conversations and books. It’s still true. Ask people where they’re already finding challenges or gaps. Where is it that you give the directions for an activity and you get an email 400 times from your students, all asking the same clarifying question about the direction? Where is it that you give a splendid lecture, and then everybody gets that concept wrong on the exam, you’ve got to reteach. Where are those places where people are already going to do a little work to redesign or think again about how they’re approaching a particular idea, concept or process? Those are always good places to start thinking in a more inclusive way, because you can lower some barriers, not only for the learners, but also for yourself. So when we think about UDL, the selling point of UDL for individuals is that a little bit of effort now actually saves you a lot of effort later. And you know where you’re putting in all of that repeated effort that just seems to be a time sink. So in your own career, think about that. And then when we think about, at an institutional level, if we’re going to have leadership change over, there are three things we can do right away, and this is all chapter five, people. One, make sure that you are enshrining Universal Design for Learning in your policy manual, this takes the longest amount of time. When you’re involved in shared governance, things do not move fast. But if inclusive design is actually part of the identity of the institution and it’s part of the mission that we’re on. Folks at Greensboro College in North Carolina actually did adopt this first into their mission, and worked back from that into practice and into making it part of their everyday work. Two, when we think institutionally, we actually talked about this as well. Putting Universal Design for Learning into those job descriptions and performance evaluations means that you’re changing culture by fiat. And John, you said it in a different way than I would have [LAUGHTER] in terms of risk or loss aversion. But when we think about risk, we can think about risk in negative ways and positive ways. So the negative risk is, “Oh, if I don’t do this, I might lose my job, or I won’t get my promotion.” But the positive risk aspect of it is, if we do this, then we are likely to have more students stick with us. If we do this, we are more likely to have fewer students asking the same question over and over and over again or tripping over the same stumbling blocks intellectually or practically. And then the third thing that we can think about when we’re working at scale is that institutional culture, the people who are there the longest typically aren’t the senior leaders, it’s typically the folks in operations. So the folks who are running the departments and the support units, we’ve got the institutional memory. So in trying Universal Design for Learning in your practices at your unit level, put it in the handbook, put it in the manual, put it in the new employee onboarding that you do. That’s where it’s going to stick, because provosts and presidents come and go, it’s a truism in higher education. And the folks who are here for the long haul, Universal Design for Learning helps us do our jobs more efficiently, with less stress, less anxiety, and it helps our students to be more successful. It does require effort and work, and to the extent that we can make time, put money, assign people to those tasks, the better. But even if we don’t have a lot of any of those three things, we can still shift how people act.

John: And if students are learning more, it tends to be much more enjoyable for faculty.

Tom: Wow, I didn’t put that in the book. Seriously, I didn’t put that in the book because one of the biggest arguments that we have for Universal Design for Learning is that it helps students to learn more effectively, and I guarantee you that that is not an argument that moves anyone to open their budget. So this book, like I was saying at the very beginning, is a very different kind of argument to the one that I have produced in other books. In other books, we’re talking about social justice, we’re talking about efficiency, we’re talking about efficacy for the students. In this book, we’re talking about, “Yeah, this actually makes sense, because it means that we’re spending our money more effectively and wisely, and helps us with reducing rework and making processes more efficient.” This is language that I’m not used to using all the time, and it’s language that most campus leaders are very used to hearing.

Rebecca: It’s important to have campus leadership on board to make this a cultural shift, but it doesn’t have to start there. It can start from anyone at a university who’s committed to this work. Do you have some strategies that individuals might use, collectively or individually, to start to nudge an administration to consider adopting the UDL framework for the entire institution?

Tom: We’re actually heading in that direction in our conversation already, aren’t we?

Rebecca: We are.

Tom: So if you’ve got a grassroots effort where you can show that Universal Design for Learning actually does have an effect on student retention, or more tuition coming in, or fewer people dropping out. Collect those data and share that information with your senior leaders and share it with language that they understand. That is task number one. Talk about its impact on the budget for your unit. Or if it’s not a budget impact, talk about how, instead of putting out little tiny fires over and over and over again, that adopting UDL has meant that you’ve addressed some regular concerns and gaps that happen every day, and that’s actually freed up your staff to go after bigger or more complex challenges and goals. So it actually does help us to shift how we spend our time. Listeners, I don’t know what area you work in, in a college or a university, I guarantee that you have the story of the thing that you spend all your time doing once a year. So for example, I worked with some colleagues at D’Youville University in Buffalo, New York, and the head of their Disability Services Office. She was one of the champions who went through a process of learning more about Universal Design for Learning. She shared that on average, she was chasing 70 plus students every semester because they had to actually actively request their accommodations every semester, it’s not just like you get your accommodations and then you’re good for four more years or six more years. So every semester, she would be sending out email messages to people’s .edu address saying, “Hey, quick reminder, you have to request this every semester.” And she spent literally 80 to 120 hours of her own time, and then 80 to 120 hours of the four people in her office chasing down these requests. And then they made one UDL change. When people initially sought a disability accommodation, they asked the students, “We’re going to send stuff to your campus address. Would you be willing to share your cell phone number with us so we could text you? We promise we won’t spam you.” 90 plus percent of the students on intake shared their cell numbers, and when she sent out the reminder, “Hey, you got to do this every semester,” it went to their email address and it went to their cell phone number, if they had shared it. They literally went from chasing 70 or more students over the course of weeks every semester to two. Two people needed reminders more than once. So making that UDL choice about giving people more than one way that they can get the information helped them to actually reduce a huge time barrier for their staff, and that meant that their disability service staff weren’t playing phone tag and email tag with people, but they were able to actually do the work that they were hired to do, which is helping students to overcome barriers in the classroom environment. So when we think about convincing the administration, show them examples like that. “Hey, we saved you a whole bunch of money, and now we can work on more complex challenges with the same number of staff members.” That’s an argument that a provost is going to listen to. So show that it works and use language that they understand: budget, retention, persistence.

John: We always end by asking, what’s next? So what’s next for you, Tom?

Tom: My focus is always on quality in higher education. So I’ve got two new books coming out after UDL at Scale, which is coming out in August of 2026. Sometime in 2027 I have Evaluating Teaching in the Digital Era with Annie Taylor and Jean Mandernach. Then in 2028, it’ll be Peer Observation Made Practical with Lauren Barbeau and Claudia Cornejo Happel. And sometime in 2026 or ‘27, I worked with Chris Hromalik at the SUNY System, and we have an article coming out on Universal Design for Learning in Project Management. Plus, I am now a full time professional advisor, so I’m enjoying working with colleges and universities on really complex problems. Listeners, if you go to my website, it’s just ThomasJTobin.com, there’s a free UDL book there on further education and training, John mentioned it in our opener, and you can download that. And if you’ve got a wicked problem that you’re trying to figure out that has to do with the quality of our teaching or access to education, I’d love to hear from you. So thank you again for having me on the program. I love Tea for Teaching. I’m a regular listener. I’ve got my Tea for Teaching mug, and I’ll look forward to where this all goes down the line.

Rebecca: Well, thanks so much, Tom, we always enjoy talking to you and brainstorming how to make some good institutional change.

John: Yes, It’s great talking to you again, and I’m looking forward to seeing you at one of the next conferences coming up.

Tom: Yep, and listeners, if we cross paths in three dimensions, just look for the tall man with white hair, glasses and a giant black mustache and say hello, I’ll be glad to talk with you. Thanks everybody.

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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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446. Teaching Neurodivergent College Students

Neurodivergent students experience challenges in traditional lecture settings. In this episode, Jennifer Pusateri joins us to discuss strategies to reduce these challenges while supporting and leveraging the strengths that neurodivergent students bring to our classrooms.

Jennifer is the Senior Universal Design Consultant at The University of Kentucky and has served as the co-chair of the international UDL in Higher Education Network. She is a member of the CAST National Faculty and is the author of Transform Your Teaching with Universal Design for Learning: Six Steps to Jumpstart Your Practice. Her newest book, A Practical Guide to Teaching Neurodivergent College Students has recently been released by Harvard Education Press.

Show Notes

  • Pusateri, Jennifer L. (2026). A Practical Guide to Teaching Neurodivergent College Students. Harvard Education Press.
  • Brown, T. E. (2013). A new understanding of ADHD in children and adults: Executive function impairments. Routledge.
  • CAST UDL Guidelines
  • Mary-Ann Winklemes – TILT Higher Ed
  • Tom Tobin, Lillian Nave, and Jennifer Pusateri (2025). UDL 3.0. Tea for Teaching podcast. Episode 395. May 28.
  • Mary-Ann Winklemes (2023). Transparency in Learning and Teaching. Tea for Teaching podcast. Episode 290. May 24.
  • Viji Sathy and Kelly Hogan (2020). Structured for Inclusion. Tea for Teaching podcast. Episode 153. September 16.

Transcript

John: Neurodivergent students experience challenges in traditional lecture settings. In this episode, we discuss strategies to reduce these challenges while supporting and leveraging the strengths that neurodivergent students bring to our 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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Rebecca: Our guest today is Jennifer Pusateri. Jennifer is Jennifer is the Senior Universal Design Consultant at The University of Kentucky and has served as the co-chair of the international UDL in Higher Education Network. She is a member of the CAST National Faculty and is the author of Transform Your Teaching with Universal Design for Learning: Six Steps to Jumpstart Your Practice. Her newest book, A Practical Guide to Teaching Neurodivergent College Students has recently been released by Harvard Education Press. Welcome back, Jennifer.

Jennifer: Delighted to be here with you all.

John: Thanks for joining us again, and today’s teas are:… Jennifer, are you drinking tea?

Jennifer: I am and I don’t normally drink tea. So, I’m in central Kentucky, and I will tell you, this is the most beautiful time of year in central Kentucky. It is so green and lush with the blue grass and the horse farms and all of these rolling hills. However, [LAUGHTER] that means it’s also very allergy-ish at the moment, and so I woke up a little froggy today, so I’m drinking Throat Coat tea.

Rebecca: Hopefully that’ll get the job done.

Jennifer: We’ll see.

John: And Rebecca?

Rebecca: I have an English breakfast tea today.

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

Rebecca: Nice. So we invited you here today to discuss A Practical Guide to Teaching Neurodivergent College Students. Can you tell us about the origin of this book?

Jennifer: Yeah. So I’ve been telling folks that I wrote the book I wish my professors had read, [LAUGHTER] because I was not what you would call a great student when it comes to my undergrad. In fact, I opened the book with a screenshot of my actual transcript from my sophomore year of college, and it’s not great… 1.761 GPA I got that semester, which is fantastic. I just didn’t know what I didn’t know. I didn’t know how to learn. I didn’t know what worked best for me, and I did not know at that time that I was ADHD. I was actually diagnosed a little bit later in that year, after being like, “this is not working, like something’s not right here.” My younger daughter is graduating high school and ideally entering college this fall. And I was kind of thinking about, “man, what would I like for her professors to know about teaching neurodivergent students.” She, like Mom, is also ADHD. And I was just kind of hoping that eventually instructors will kind of have a better understanding of what neurodivergence looks like in our students, and that it’s not entirely a deficit.

John: I suppose, before we get too far into the discussion, we should talk a little bit about how you define neurodivergence, just to make sure everyone is on the same starting point.

Jennifer: Yeah, for sure, that’s actually a really good place, I think, to start. Sometimes people balk a little bit about this being a little boring, but I think it’s super interesting. So a neurodivergent brain is a brain that functions differently or outside of what the dominant society says is normal. There is, of course, no such thing as a normal brain. That’s not really how it works. But depending on the society that you’re a part of, there are some expectations for what people assume to be a normal brain. So neurodivergence would be whatever falls outside of that. So if you want to make it a little more clear, from its beginnings, honestly, the word itself was used to describe autistic folks, but also now there’s kind of a larger umbrella, recognizing that there are so many different ways to learn, and that there are so many things that affect the way our brain works when learning. Now we’re including things like ADHD, dyslexia. Some people are including things like depression, anxiety, OCD, and trauma, because we absolutely know that those have an impact on the way our brain works. So, that’s kind of the broad understanding of neurodivergence.

Rebecca: What proportion of college students might fit under this umbrella of neurodivergent.

Jennifer: This depends, I guess, on what you recognize as counting as neurodivergent. What I mean to say is that there’s no one definition of neurodivergence. It’s not a medical term. Some people include certain groups, and some don’t. I tend to use a broader umbrella when describing neurodivergent folks, and the reason that is important when thinking about kind of what percentage are we looking at? So I’ll start with ADHD being one of the most prevalent, about 14% of undergrads, and this is using data from spring of 2025, have ADHD. About 6% of them are dyslexic. Autism is around 3%. Those numbers all seem a little low to me, but that’s what we have from the data. I personally include, as we just talked about, things like depression, anxiety, OCD, and trauma, and so this is where our numbers start to get a little bit bigger. So when we’re looking at our undergrads in the US, 27% identify as being treated for depression, 36% of students report anxiety, and OCD is about 6%, trauma is about 8%. Of course, we don’t just add all of those numbers up. That’s not really how that works. We do know that many, many students who are neurodivergent also have depression and anxiety as well. So like if we just counted, let’s just assume that if we included everything else, everyone else is represented already, we’re going to pretend, underneath depression and anxiety, then that highest number is 36%. So we’re looking at roughly a third of our students have brains that are working in a way that’s outside of what the dominant society considers to be normal, and that’s a lot, a third of our students. That’s a huge amount of students., when we really sit down and think about it.

Rebecca: So one of the things that you indicated in your own story is that you didn’t know that you were ADHD when you were a student. So, we know that there’s wildly under-reported cases because students don’t want to disclose for a wide range of reasons, or they simply don’t know, even though you’re kind of identifying one-third, it could be much bigger. [LAUGHTER]

Jennifer: It really could. And something else that we know for sure is that everyone that needs a diagnosis does not have a diagnosis. There’s a lot of reasons that someone couldn’t get a diagnosis. It costs a lot of money, it requires people to take time off work to take their kids to appointments and do things like that. So there are some pretty significant barriers already just in receiving a diagnosis. So we know that that absolutely exists. And then we also know students are arriving at college, and many are choosing not to disclose that they have a disability of any kind. And so we know for sure there are a lot who are falling through the cracks because they’re either not requesting or not receiving the accommodations that they probably need.

John: And along those lines, I would expect the under-reporting would be more common among low-income students and students for whom getting that documentation would be a bit more challenging.

Jennifer: Yeah, that makes a lot of sense, and I don’t have that research or data on hand, but I know that it exists, and that’s pretty much what it says. And then we also think about things like cultural norms. There are some cultures that are not going to see and understand things like ADHD or autism in the same way that others would. They may not even understand that this is something they need to be thinking about with their children, and then therefore they arrive at college and they don’t have the diagnosis that they need.

Rebecca: Can you talk a little bit about the strengths that neurodivergent students bring into our classes.

Jennifer: Yeah, man, there are so many strengths, and this is one of my favorite things to talk about. In the book, I have a diagram where I’ve kind of made a three-way Venn diagram overlapping the strengths of our ADHD students, our autistic students, and our dyslexic students, because the strengths overlaps so much, which I think is really interesting. But some of the things you would typically think about… students who are ADHD are going to be maybe a little more spontaneous, perhaps more energetic. They often are very self aware. And then they’re also going to overlap with autism, especially when it comes to hyper focus. Hyper focus just being that you can focus your attention in on something that you are interested in or care about in a very significant way, to the detriment of other things, like having to use the restroom, or drink water [LAUGHTER] or whatever. That hyper focus really is a big piece of ADHD and autism. We also see ADHDers and autistic folks being very justice and fairness oriented, which I think is super interesting as well. And then when we think about dyslexia, individuals with dyslexia often have more of a visual thinking pattern, like they’re thinking in pictures. Often that can mean that they have a completely different way of understanding and sharing the information that they’re learning about. So they may be able to put together a really good or really helpful diagram that someone else wouldn’t think of, someone else without dyslexia may not even consider or not even be able to place together, but they just seem to have this very big strength when it comes to dyslexia and having things like visuals. So that also overlaps a little bit. We have a lot of out of box thinking when it comes to folks with dyslexia, also ADHD, and then that visual-spatial awareness or reasoning we also see in folks who have autism. In this diagram I have in the book, I have the center in the middle, which is all three of these bigger categories of neurotypes, ADHD, autism, and dyslexia. And I’m listing in there five different overlapping strengths, and I think these are super interesting when it comes to higher ed because if you think about these, and I’m going to share them here in just a second, think about them in terms of hiring a grad student to help with something like qualitative research. So here are the strengths: they’re very interest driven, they’re good at problem solving, they’re excellent at pattern seeking and pattern recognition, creativity, and curiosity. So when I think about someone who could be a qualitative researcher, a graduate student, perhaps, those are the qualities I want. I want someone who’s picking up on patterns that I maybe don’t see, someone who’s very strongly driven by their interest in the things that they care about, and who’s also really good at curiosity, that’s kind of driving them along to understand better the things that they’re researching. I really do see a lot of these strengths as being very helpful in higher education, especially when we think about things like research.

John: And one of the areas you discuss in the book is executive functioning, and I think most people have at least a general sense of that term, but could you define it a little bit more precisely, and also maybe talk a little bit about what can interfere with students’ executive functioning in our classrooms.

Jennifer: So executive function, it’s basically just this grouping of skills and processes that monitor and regulate all kinds of important things, so things like focus and attention, things like our emotions, regulating emotion, organization, time management, prioritization, those kinds of things, goal setting. And there’s a lot more. There are a lot more pieces. And the problem with executive functioning and defining it is, just like neurodivergence, there’s no one definition. There are lots of definitions. And so I choose to use a specific one in this book, because the model I use, which is Thomas Brown’s model, really focuses in on the emotions piece and also the processing piece. And those are things that I don’t always see in executive functioning models, and I think those are some pieces that maybe have been missed a little bit in higher ed, so I really like that model for that reason.

Rebecca: What can we do in the classroom to help support executive function. 10:53

Jennifer: I think a big one that a lot of people think of up front is focused attention and motivation. In my book, I have broken down these sort of challenges into six categories to make it a little bit easier. It can be overwhelming. There’s so many pieces, so many things that executive functioning touches that I wanted to group it a little bit. So the first group is focus, attention, and motivation. That might mean that students who are neurodivergent are going to have a difficult time sitting and passively listening for long periods of time… more than 10 minutes, maybe. So that may be an issue. It also might be things like motivation. I’ll speak for myself. I am not motivated by things I don’t care about. If I have to do things I don’t care about, perhaps I have to take a class that’s outside of my major, or is a general ed class, or whatever, it’s going to be like pulling teeth to get me to do the things in that class, because it’s something I don’t care about. So those are the kinds of things we might see when it comes to focus, attention, and motivation of students having difficulties. Another big piece is organization and structure. A lot of times, neurodivergent folks have difficulty seeing these structures that kind of underlie everything. One of the things I think about is reading a journal article. Someone who’s neurodivergent may read several journal articles but still not see that there’s sort of an underlying structure or order or grouping or whatever of this is how research reads. So in my field, education, research tends to be laid out the same, like it’s always going to start with an introduction, and you’re going to move to this next piece, and then you’re going to move to this next piece. And if that’s not clearly stated or laid out, sometimes it’s difficult for neurodivergent folks to guess that or to see that. And then other things like time management, prioritization. These are things we see all the time with all of our students, but even more so with our neurodivergent students, struggling with things like turning in assignments on time or planning enough time ahead so that they can study or write or whatever to turn something in by a certain deadline. So, those are things we see in a lot of our students, which also brings me to another thought, that we know for sure that undergraduates are of an age where their prefrontal cortex, part of their brain, is not fully developed yet. That doesn’t happen until about age 25 or even 30 for some folks. We can pretty much guess that all of our undergrads are going to struggle at some point with executive functioning. That’s one of the things I really am trying to kind of get across in this book too, is that when you’re setting up your course and your instruction to support neurodivergent students, you’re actually doing that to support all of your students. And those things end up being really useful for many students, in addition to those who are neurodivergent. And then we can also think about other pieces, like sensory and emotional regulation. Those are kind of overlooked often in a higher ed academic setting, but are really important to students being able to work effectively and efficiently without getting overwhelmed or overstimulated.

Rebecca: So you’ve outlined some of the struggles that students might have related to executive function. What can instructors do to help support these students to overcome these struggles?

Jennifer: Well, one of the things we can think about is if we know that we’re going to have many students who are going to struggle with, let’s say, focused attention and motivation, that they’re going to have a difficult time paying attention for more than, I don’t know, 10 minutes or so, then knowing that up front, we can really think about the way that we’re structuring our lectures, or our in-class meeting time, so that we’re breaking that up a little bit with smaller periods, or little bursts of activity, whatever that might be. There are lots of things that you can build in. So you might lecture for 10 minutes or so and then pause, and you can have everyone do a quick one minute reflection writing, or they could even just do a simple turn and talk with their neighbor, because when they pause from the passive listening, and you do something active, it almost is like it resets the timer. As an ADHDer, I have this like internal timer of about how long I can sit and listen and not do something. [LAUGHTER] Stopping after about 10 minutes, doing a quick reflection, or turn and talk with someone next to me, resets that timer. Personally, as an ADHDer, I have this, like, internal timer of about how long I can sit and listen and not do something. [LAUGHTER] And so, like, stopping after about 10 minutes, doing a quick reflection or turn and talk with someone next to me resets that timer now. And now you got another 10 minutes or so where I’m able to really stay focused and listen and engage with what you’re talking about, and then that timer runs out again. As an instructor, if we kind of know that, we can build in these pieces throughout our lectures or even just our course meeting times. And that’s going to be useful, obviously, for our neurodivergent students, but if we’re building in things like reflections or turn and talk or whatever, there’s a lot of research that doing those things in the midst of a lecture is going to help with student memory retention and understanding of the things that they’re talking about. So again, we see this theme come back, that when we build in things that are going to support our neurodivergent students, we are actually supporting all of our students.

John: I was thinking that as you were talking about some of the issues with executive functioning, because issues of student engagement are pretty common and go far beyond just a third of our students. It’s really nice that these approaches can be useful for everyone. So in addition to providing structure and taking breaks and engaging in active learning activities, you also recommend throughout the book using a UDL approach to reduce some of the challenges that neurodivergent students face in our classrooms. Can you provide some examples of the benefits of providing multiple means of engagement, representation, and action and expression?

Jennifer: Definitely. This is, I think, one of the biggest ones. Of course, the UDL guidelines were updated in 2024 and we used to call the bullet points, checkpoints, but now we call them considerations in UDL. Consideration 7.1 which is in the welcoming interests and identities category or guideline says, “optimize choice and autonomy,” and this one for neurodivergent people, is key. An ADHDers brain, an autistic student’s brain, is an interest-driven brain, and so, when we can provide students with the opportunity to choose something within their learning path, maybe that’s the topic for a paper or a project or something, that gives them the opportunity to choose something that kind of aligns with some of their special interests, or things they are interested in otherwise, and by doing that, that’s going to increase their motivation, that’s going to increase their engagement, and they’re actually going to probably produce better work for you than if they did not have that choice. So, building in that choice and autonomy is a game changer for a lot of neurodivergent folks. When we’re thinking about representation, there are several in there, but the one I was thinking about earlier is Consideration 2.5 and so this one is in the language and symbols guideline, and it’s “illustrate through multiple media.” We know that a lot of neurodivergent folks really respond well and tend to learn well and understand better from visuals. So anytime we can include a graphic organizer, or we can include a clear diagram or a visual or a video, something visual that goes along with more of the text-based things that we’re learning, is going to be super useful for neurodivergent students. So that’s my suggestion for representation. And then when it comes to that action and expression chunk, we’re going to think about the bottom right guideline in blue, and that one is now called “strategy development” (it used to be called “executive function”). Consideration 6.3 asks us to think about organizing our information and resources. To me, as an instructor, this reminds me, if I just give them the things, but I don’t have any good organizational structure around it, it can still be really tricky. Occasionally I see some faculty that will put everything in Canvas… we use Canvas at our university… will put all of the documents that a student needs for a course in the files part of their Canvas course with no organizational structure whatsoever, no modules, no grouping, and that could be really tricky. So it’s going to trip students up when they’re trying to find the things that they’re looking for. It’s also going to be wasting a little bit of their cognitive load or cognitive energy in trying to find those things. So we can organize things like our Canvas courses, our syllabi, etc, thinking about really good structure. When we’re teaching, we can clarify the information hierarchy. And what I mean is, when people learn new information, that information is all at the same importance level, until someone tells you otherwise. And so we can try to be more clear and explicit about that structure. So I might use something like a guided notes document where I have clear headings for kind of the big topics that we’ll be talking about in that day’s lecture, and then that would visually cue students to understand, “Oh, these are the big pieces. These are the most important topics.” And I’ve done that. I’ve kind of elevated that informational hierarchy and made that clear and explicit to the students in the use of that guided notes document.

Rebecca: In addition to using a UDL methodology, what are some other ways to support neurodivergent students in the classroom?

Jennifer: One thing that I think is super important is transparent design. So if you are familiar with the TILT method by Mary-Ann Winklemes and others, that’s a really good way to approach assignments for neurodivergent students, because one of the things that’s really difficult is unclear expectations. So when perhaps an instructor thought they were being clear in their directions, but perhaps could have clarified a little more or maybe made some things kind of broken down a little bit into steps, or checklists, or whatever. When we can do that, that’s going to be really helpful for neurodivergent students. But also, one of the things I really like about that TILT approach to teaching and to instructional design in higher ed is the fact that it elevates the purpose of the assignment. Neurodivergent folks really like to know the why behind things, myself included. I want to understand why we’re doing this. Why are we doing this assignment? Because when I know the why behind the thing, that really helps with my motivation and my engagement. And although I don’t necessarily have to like it or agree with you, I can understand why. That makes a big difference. So, using things like transparent assignment design and transparency in learning and teaching is another great way to do that. It aligns so nicely with universal design for learning, because it’s just asking you to take out all of your assumptions and start thinking proactively about the barriers that your students are going to encounter. UDL is doing that, and transparent assignment design is doing that as well.

John: And we’ll include links to earlier discussions related to this, including the earlier podcast you were on discussing the new UDL guidelines, a podcast with Mary-Ann Winklemes, where she discusses the TILT approach, and a podcast with Viji Sathy and Kelly Hogan, where they talk about the evidence on structure and the importance of structure, because these things are coming from a lot of different areas, and they benefit a lot of students, and specifically, I think Mary-Ann Winklemes and Viji Sathy and Kelly Hogan have emphasized research showing the importance that these things have in reducing many of the equity gaps that we observe in our classes. So these approaches are really useful, and it’s really nice to see the UDL approach combined with the other materials in your book, as well as TILT and the importance of structure. So it’s really a nice guide to effective teaching for everybody, as well as a guide to help reduce some of the challenges faced by neurodivergent students in our classes.

Jennifer: And our neurodivergent students are some of the most brilliant students out of the box, creative thinkers that we have, and so if we can support them on some of these other pieces related to executive functioning, I mean, wow, we’re going to be astounded by what we see in our students. So, I encourage folks to really think about that by supporting neurodivergent students with things like executive functioning and such that you are unleashing that student’s potential in a way that perhaps they had not been able to do before.

John: One of the other things you talk about earlier in your book was that challenges with executive function are often misperceived as indicating a lack of intelligence. Could you talk a little bit about why this misperception occurs, and perhaps how we can break people away from that misperception.

Jennifer: One of the things I actually included in the book, sort of for that reason, I included some quotes from interviews I did with neurodivergent higher ed faculty and staff. I wanted to include their voices, because sometimes I think it can be tricky for instructors. Sometimes they can think that students who maybe have these, what some call invisible disabilities, might be trying to just get something over on them or cheat or make it easier. And so I guess I wanted faculty and instructors to hear from their colleagues, “No, actually, these are things that I did and still struggle with my entire life, and here’s how I have looked at that, or here’s how I help my students now, because of the way that I approach these things well.”

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

Jennifer: There are a lot of things I’ve been thinking about recently. One of the things I’m kind of kicking around is we’ve had some really good books that have come out recently that have elevated the stories of neurodivergent faculty and instructors and kind of their experience and what that’s been like for them. I would love to see… and perhaps this will be next on my list of things to do… more support for neurodivergent faculty, because there’s so much executive functioning that goes along with being an instructor in a higher ed situation. I mean, it’s constant. And then thinking about how we’re balancing our teaching with our research and with our service work and all of those things, we could use a little bit of practical support with that, those of us who are neurodivergent instructors in a higher ed setting. So that’s something I’ve been thinking about a little bit lately. I don’t know if that’s a next project or a next book, but I know it’s a thing that we need some support and help with out there in the field.

Rebecca: Definitely, I think that’s something that I hear a lot as we’re talking about digital accessibility efforts and other things in this space, is we spent a lot of time thinking about how to help students, but not always a lot of time thinking about how to help and support colleagues.

Rebecca: Well, thank you so much for joining us. We look forward to sharing your book and getting this episode out into the world.

Jennifer: I appreciate that.

John: And in fact, we liked your book so much that it’s been chosen as one of our fall reading groups here.

Jennifer: Yay!

John: So we’ll have a number of faculty who will be discussing this through the fall semester. So, thank you.

Jennifer: That’s great. Awesome.

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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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442. Not Token Gestures

While colleges and universities have made substantial progress in attracting a diverse mix of students, there are still substantial equity gaps in student outcomes. In this episode, Roberta Hurtado joins us to discuss approaches that can be used to reduce these gaps. Roberta is an associate professor in the English and Creative Writing Department here at SUNY Oswego, where she also serves as Director of Latino and Latin American Studies, and has been a fellow in the Triandiflou Institute for Diversity, Equity, Inclusion, and Transformative Practice. She also has served as a 2023 Fellow in the SUNY Hispanic Leadership Institute.

Show Notes

Transcript

John: While colleges and universities have made substantial progress in attracting a diverse mix of students, there are still substantial equity gaps in student outcomes. In this episode, we explore approaches that can be used to reduce these gaps.

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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 Roberta Hurtado. Roberta is an associate professor in the English and Creative Writing Department here at SUNY Oswego, where she also serves as Director of Latino and Latin American Studies, and has been a fellow in the Triandiflou Institute for Diversity, Equity, Inclusion, and Transformative Practice. She also has served as a 2023 Fellow in the SUNY Hispanic Leadership Institute. Welcome Roberta.

Roberta: Hi, thank you for having me.

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

Roberta: I am. It is Bigelow Cozy Chamomile,.

Rebecca: Nice. Sounds nice and relaxing, something that maybe a continuation of spring break?

Roberta: A little bit. Yeah. [LAUGHTER]

John: We’re just coming off of spring break here, and it is still below freezing here today in Oswego.

Rebecca: How about you, John?

John: I am having a nice, warm Lapsang Souchong today.

Rebecca: Nice. I have a Scottish Breakfast tea today.

John: We’ve invited you here today to discuss your new book, Not Token Gestures: Practical DEI strategies in 21st Century Higher Education. Can you tell us the origin story of this book project?

Roberta: Absolutely. So I was a SUNY HLI fellow in spring of 2023 and part of that institute is a requirement for you to do a capstone project, something that’s going to serve your university, something that’s going to help if there’s a gap or there’s an area where you can lend your expertise to. And at the time, I was working on the Triandiflou Institute fellowship as well. So I was doing them simultaneously, and we were looking at the importance of representation among faculty, and so one of the ways that you can intervene is to directly attend to the hiring practice. Where do you send job ads? What kind of language do you have in job ads? One of the things about the hiring process for faculty is that you might do really great workshops at the very beginning, everybody’s enthusiastic, you’ve got energy, it’s the summer. And then three months later, you’re still [LAUGHTER] in those very first preliminary steps, because the process itself goes over about a year from start to finish, from drafting the job ad, to sending it out, to getting people to come through, to getting them into the first- round interviews, first-round interviews, to second-round interviews. It’s just a lot that goes into it. And so what were really great workshops at the beginning are distant memories where you remember sitting and looking at a screen or being in a room, and sometimes these workshops also have aspects to them that need a lot of clarification. So, b instead of saying, “Well, send your job ads out to different types of arenas,” well, why would you do that? Normally, when we send out a job ad, let’s say in English, we would send it to the Modern Language Association job call list. But who are the people who actually look at that job call list? If you look at the demographics for who’s actually MLA members, paying members, who’s going to be accessing that, you might actually find that you have people from maybe elite institutions making up the majority of the membership, or you have people from very specific geographic backgrounds, people from very specific socioeconomic backgrounds, and so without meaning to, you’re limiting the pool of people. You’re being very selective without even realizing it. So, if you want to be more expansive in who’s getting the job calls, you need to know the history behind why it ends up being that it’s so selective, and then being able to move forward. Well, where are the other places where you can send the job ads? I don’t think people are intentionally ignoring the variety of places you can put them, but sometimes it’s just a matter of knowing where to go. So, all of this is to say I created this capstone, and while I was doing it, like the good English professor [LAUGHTER] that I am, I wrote an article. And when I wrote the article, it was a mix of different types of theories and historical background and information, and I sent it to a journal. I didn’t think it was going to inherently be a knockout of the park, but I thought I would get feedback, and the feedback that I got was that it was too narrowly tailored, that creating a process to increase representation of different types of faculty in Higher Ed was too narrowly tailored of a [LAUGHTER] focus, which, it is what it is. Maybe whoever was reading it, that’s the way they thought about it. And I channeled Michelle Obama [LAUGHTER] in that moment. I was like, “Well, I don’t think that this should end here. So what do we do?” And I pitched it to what was then Lexington Books, to say, “I’m not the only one who’s thinking about these things. How do we do work that makes higher ed fulfill its promise of academic excellence for all?” And so I went to Lexington Press. They picked up a contract to create an edited collection that was going to have voices from all different fields of academia, and from there, it moved forward to the call for papers and then a wonderful collection.

Rebecca: Can you talk a little bit about how you selected contributors for your project?

Roberta: Absolutely. So I was very fortunate to, in my time at HLI, get to meet a wonderful array of academics and administrators, people who genuinely care about their campuses and the people that they serve. So one person was running the pediatrics residency for one of the SUNY campuses. Another person who runs camp programs, AOP, for one campus, and their projects were speaking to the very things that my project was speaking to. So when I got the contract, I was able to solicit submissions from people who I knew were already doing this work, and I was also able to reach out to faculty from around the campus and from Oswego, who I knew that were doing work that was very similar, and nationwide. So I reached out to administrators who I knew, who are doing this work, and doctors, people who are practicing and working in education and artists as well, and asked people if they would be willing to share. And I think I was very fortunate with the timing, because where I sent the call for papers, I got a number of people responding as well. So for instance, from Virginia Tech, there’s a center there where people who were working there created a chapter, sent it to me, and then faculty had come together as well to create a chapter and send it in. So in some cases, it was a matter of the people who I knew doing this work and also getting them to sit down. Nobody has spare time. [LAUGHTER] So being able to find people who would be able to carve time out of their schedules to sit and write and create transcripts, work on artwork, there are testimonials, and there’s also personal narratives, there’s letters. So knowing people who had some things that they would like to submit, and then being able to find other people who were also in it. And one thing that was interesting about it was that the chapters are also varied. So there’s three different sections for the book. The first one is about personal responses to what’s going on with DEI in Higher Ed in the country. The second is about pedagogy, and how do you teach? How do you even create a syllabi? And then the third is about administrative tactics and techniques that can be implemented. All of the chapters were very different, and even though one might focus on, for instance, there’s a chapter on how to create a course for Introduction to Criminal Justice. Some of the techniques that are being proffered in that chapter might seem on the surface like they’re very specific to that department, but they’re not. How do you create a syllabus that has readings that students can access if they can’t afford them? In another chapter, how do you have students introduce themselves in ways that don’t put them in front of their peers and having to say things that might be a little personal, but at the same time, ensuring that the classroom is a space where they know they will be honored and respected for their differences and that their differences won’t be treated as deficiencies. How do you go about doing that? Well, these chapters offer suggestions, and again, with the idea that we all go through training to become members of higher ed, but sometimes there are things that we just don’t know or maybe weren’t made available to us when we were working to become faculty members or administrators and so these are those opportunities to also sit back and question, “what were the thought processes behind why I did that?” [LAUGHTER] You know, “why did I go about choosing these things?” So when the chapters all came in and the artwork was coming in, I was able to sit down and really see a lot of richness in each one beyond even just kind of like that surface level read, which was really exciting actually.

John: For several decades, educational institutions at all levels have put quite a bit of emphasis on DEI initiatives. But in the last year or so, a little over a year here, we’ve seen that under very heavy attack in the federal level, and also we’ve seen quite a few attacks at the level of various states. You address this a bit in your introductory chapter, which is entitled,”It’s Not a Death Knell, It’s a Call to Arms.” Can you give us an overview of the arguments in this chapter?

Roberta: So I don’t know how everybody responded to hearing about that Supreme Court case where they decided that race could not be used as part of the decision making process for admittance to higher education. I think one of the elements of it that’s been very confusing for me has been that the Supreme Court requires that questions be and decisions being narrowly tailored and limited in scope. And the verdict that came out, that was read, the decision was very clear that this was about how race as a category is used in admissions processes. The expansion of it since then to apply to things like scholarships and to apply to programs have been, if we’ve noticed, like on the state level in most cases. So we’re seeing in like Texas, and this is not a knock on Texas, I used to live in Texas, Road Runner all the way.[LAUGHTER] But we’re seeing state level and regional level now taking up the impetus and saying, “Well, we can’t talk about things that are going to make people uncomfortable,” and that’s kind of been the language of it. And we saw it during the first administration, right? There was that executive order that you couldn’t teach things that are going to make people uncomfortable, and it’s such an interesting concept that some people are not allowed to be made to feel uncomfortable, and some people are. And the question is, “why are some allowed and some are not?” And that introductory chapter, it did recognize that we do need to grieve, because it’s a dream, right? Our ideals are wonderful things. They’re goals that we are always striving to and even if we think that we’re achieving them, we always have more that we can do, and so to have made so many strides, to have been pushing and pushing for something as basic as recognition of infrastructural inequity and inequality, and then to have it be brought up as something that is the thing that’s going to be attacked… it hurts. It genuinely hurts. And for all the people who would go to college and can see themselves as deserving of an education, and then the idea that they would be turned around to and told “No, you’re not worthy of learning.” That hurts. And so we do need to grieve, but we don’t give up. We’ve been seeing this since the ‘60s. We’ve been seeing this since the ‘20s. We’ve been seeing this since the 1880s, the 1860s, we’ve been seeing this for centuries in the United States… that we don’t give up, we just change strategy. One thing that was happening around this decision, and then that came and, as you noted, especially in the most recent months, just the constant barrage of it, but we’ve also been seeing the mechanisms of this country coming forward and saying “No, you are allowed [LAUGHTER] to have opinions, you are allowed to teach content, you are allowed to have policies to make campuses spaces of learning.” I think one thing about it has been, though, that we’ve had to also take stock of what we’ve done in the past and if DEI has been treated as a side piece or as a token gesture, yeah, some of those do end up having problems within them. So if we say, “We’re going to create scholarships for a particular community.” Well, why? What was the thought process behind that? And I think sometimes, when we lose sight of what the reasoning is behind things, then things can become token gestures, and we need to reevaluate those too. Every time we’re doing something new, that’s part of the process of being in higher education too. We need to constantly be reflecting on what we’re doing, what’s working, what’s not working. And so that first chapter, it acknowledges the pain that many no doubt feel and continue to feel about what’s going on, but also a reminder, now is the time to keep going. Now is the time to regroup, think through, self critique, self analyze, come together as community and look at what we can do to move forward, because we don’t give up on our students, we don’t give up on our programs, and that’s why [LAUGHTER] we got into these fields, I would hope, or I think, because we do believe in education as just being something that should be available to all.

Rebecca: So your chapter kind of sets the stage for the first section of the book, which contains a number of essays responding to these attacks, policy attacks. What are some of the other suggestions that are raised in this section, or those actions that you’re kind of pointing to?

Roberta: So the first section of the edited collection is very personal. And I think one of the things that gets lost in the debates about DEI in Higher Ed, is that it is very personal. It is people’s very lives. It is their futures. It is people trying to figure out who they’re going to become, and especially if you’re from communities that have historically been told, “You don’t have a future,” it’s personal. You feel it in your very flesh. It’s not abstract, it’s not a concept, it’s reality. And so if we’re going to really do the work of ensuring that Higher Ed serves everyone, we need to be very cognizant of the very human toll of getting into college and being on a campus and graduating and becoming whatever we’re gonna be in the future. So that these first entries in the book are really about setting that stage, about centering the different types of ways of knowing that people have, the different types of experiences that inform who they are when they set foot on a campus or in a classroom or in an office, and then also thinking about, what are our different responsibilities to each other? Is it just that we’re going to say, “Well, we’re all different,” or is it “We’re all different and difference isn’t deficiency. Difference means an opportunity to learn and grow and be together and shift and transform and make new places and ways of knowing and ways of thinking.” It includes lots of different contributors. So there’s artists, there’s photography, there’s poetry, there’s letters to people, there’s personal statements, and these were all designed to very much center the human experience of being in higher ed.

John: The second section, as you already mentioned, focuses on strategic curriculum. Could you share with our listeners some of the suggestions that are provided by the authors in this section?

Roberta: Yeah, and actually, I’m going to give the title of one of the chapters because it was just good, “You Can’t Heal Us if You Don’t Even Know Us: Music, Medicine, and Rethinking Pre-Med Curriculum Adaptation to Community Needs.” This particular entry was a transcript with Dr. Christophe Jackson and myself, and I was asking him… he had been working on a Fulbright, which is actually now underway. And he looks at Music and Medicine. He’s done a lot of work with the jazz musicians clinic in New Orleans. The man is brilliant, or like, when you think about brilliance embodied, that’s him. But he’s very humble, and he’s very passionate about music. He’s also very passionate about medicine, and especially for his own community, but for everybody. And while we were talking, he was sharing with me, if you were going to create a music medicine class, but fundamental to this chapter is actually thinking through the values that educators bring with them when they teach. I think all of the chapters in this section really ask faculty to take a pause and think about “what are the values that you’re bringing with you that are informing who you are and how you put together a syllabus?” And it’s not because we don’t have values or don’t know them in theory when we’re walking into class, but sometimes we get so wrapped up into making a syllabus that we don’t actually pause and think, “What do I know about the people who are coming into my classroom? What do I know about the communities that I’m actually seeking to serve?” If you don’t genuinely know, and this is to create music medicine syllabi for pre-med students… if you don’t know anything about the communities you want to serve, how are you going to serve them? Medicine is not one and done. It needs to be adjusted. It needs to be organized so that the community that’s at hand can be worked with, so that it’s not just them being told, “Oh, you have to do this, this and this,” but instead, “Do you want to be healthy? What kind of things help to be healthy in your community?” From that, we see with other chapters… so for instance, there’s one about a Master’s class for people who want to go into clinical work with mental health, again, thinking through, how do we hold ourselves accountable when we’re creating syllabi, but also in ways that allow students to engage in those practices of self reflection, so that when they leave college, if they already have a profession in mind, they can consider those or use those skills to help them along their own career paths and that is something that many of us are thinking about. You come to college, you learn all of this information, but you’re also figuring out who you want to be in the next phases of your life. And so these, I don’t know what they would be called, like, not soft skills, I’m trying to think of like those kind of invisible elements of the class where you figure out, who are you going to be, how are you going to deliver information to people? When you hear critique, how do you respond? Those are elements that are fundamental to a class but often don’t get talked about. And so when you have a chapter that asks you to consider about using self in relationship to understand another, about cultural humility and empathy through storytelling and counselor training curriculum, you’re being shown those kind of tools that you can bring into your class, even if you’re not teaching a mental health practitioner class. There are other ones that are a bit more specific in terms of field and going into what’s typically called Ethnic Studies, but it’s a pan area, right? So there’s one critically teaching Asian American Studies at an Asian American Studies-less University. So Asian American Studies covers a wide range. It’s very interdisciplinary. If you don’t have an actual department, though, that’s dedicated to that learning. So for instance, Urbana Champaign has an Asian-American studies program. If you don’t have faculty who are directly dedicated to that because you don’t have a department, how do you go about teaching it? So they actually offer a syllabi that they’ve crafted, engaging students, engaging faculty, getting workshops together, doing learning activities. So there’s one for Angel Island, where you get to learn about people’s experiences traveling to the United States and what sort of scenarios they would have encountered. These are very real learning opportunities, very tangible learning opportunities that can have major impacts on students and again, helping them see who they are in the learning process. So even if you’re not teaching Asian-American Studies, this is an assignment that you can then adapt to your own models, to model in your own classes that maybe you hadn’t thought about before or even known that that was a resource available to you. So section two tries to offer different strategies. They might look field-specific on the surface, but when you actually get to look into the chapter more deeply, you find all of these different techniques that are fun in many cases, and really thoughtful and engaging.

Rebecca: I love the wide variety of offerings that you’ve described in these sections. Now we’re fortunate to be working at a public institution in a state system that’s actively working to provide more equitable Higher Ed outcomes, but historically marginalized populations are still experiencing lower rates of persistence to graduation. What are some of the sources of these inequities?

Roberta: There was an article that just came out, and it’s these scientists trying to explain why there is intergenerational poverty. And since we have all of these things, like social programs that are in theory, designed to, quote, unquote, “get people out of it,” then it must be genetic. The article just came out in like 2026. So in 2026 we are still hearing iterations of eugenics propaganda coming out as science. Because what would make sense if we have all of these social programs that people just don’t seem to be rising and fundamental to this study was a refusal to acknowledge that intergenerational poverty is not a matter of genes. That even if there are social programs that are available, are they inherently designed to help people get out of intergenerational poverty? Or are they meant to, and I’m going to quote Martin Espada here, “teach you to shuffle forward for charity.” If they are designed to help you to live a life that you are proud of, to cultivate the skills that you wake up in the morning and are thrilled to have, my guess would be that you would then be able to engage the world around you in a way that is meaningful to you. If we’re thinking about then how education links to that, then you would be attending college, and you would be dedicated to an education that would allow you to actuate those very things. But if we’re not in that system, if we’re not in that world, if we’re in a world that’s designed to teach you to shuffle forward, then you’re not being taught to cultivate those best parts of yourself. And even if you are able to attain some of those aspects, there’s a lot behind it that just isn’t there for you. When we talk about in introductory classes, for instance, for students who are coming in, if you are from a school that… and we’re seeing this more now, and I’m not trying to throw shade on people who are all about technology… I am not… but science is still showing that children learn better with direct, one-on-one contact with a human being. But if you’re from schools that highly emphasize, or heavily emphasize the use of technology, rather than that direct one-on-one attention because of class size or whatever, those children are going to be learning differently than children who go to affluent schools where they do have lower child-to-teacher ratios. And so you start to see from very, very early ages, disparities in what children are learning. And so then you get students coming to college who genuinely want to learn, genuinely want to finish their degree. But what support mechanisms do you have there that are, one, going to actually help them get through the program in a way that’s responsible? And the next thing is, how are you going to do so in a way where the student is able to cultivate an identity that is meaningful to them? Where they’re not just a number, where they’re not just a tuition payment or whatever it is. And we’re starting to hear that economic descriptions more and more about education, and when we do that, then these students who are really struggling to try and make it through, ‘Do you see yourself as part of the campus?” There’s these discussions about belonging. We’re in campuses from an educational model that was designed centuries ago with very specific people in mind about who was going to attend them. What we’re trying to do now is retrofit them to meet these needs and that very real question that I think this book takes up is, “What are the things that we can retrofit, and what are the things that we can just imagine as new and run with those new things too?” I think when we talk about social inequalities, too, it becomes a space where people can start to feel very defensive, and that breaks down conversations, because it’s like, “Well, you know, this money is going over here, and it should be doing all of these things that make differences,” but it’s about how everyone’s involved in it. Everyone from children from rural communities where the school year is dependent on harvest season, to children whose families move because of harvest season, to people who are veterans, to people who are single parents and trying to get degrees so that they can get jobs that will hopefully pay so that they can send their kids to a better school, and that kind of process. So when we talk about these social inequalities and how they show up in college settings, we’re talking about this large, interconnected, intertwined ball of threads and strings, and pulling at one or the other might not be the thing that helps a student get through maybe all of them are. But I think this book offers some insights. When you have students who need more assistance, what sort of things can we do to offer that help in the classroom, and then also administratively?

John: So students come in with different backgrounds because of the quality of the schools and differences in parents’ education and other things which affect where students start at when they enter the school system, and we have a lot of systemic inequality. But, when we have the students coming into our classes, what can faculty do to help reduce some of these equity gaps in outcomes, to create more of a sense of belonging and to help all students be more successful?

Roberta: So read Section two of this book. [LAUGHTER] I mean, some of the things are about very technical pieces, So like, how are things laid out, what types of resources are available with the syllabus and so on. But then there are sometimes things that are less obvious, and they come from the things that we were taught when we were getting our educations that we replicate. When we have a professor we like, we replicate what they did, because it obviously worked. But I think there is some privileging. For instance, reading. Something as basic as that, but also that students are bringing with them different types of knowledge, different types of critical ways of knowing, and that many times, those aren’t being represented in the content of the classes, in the curriculum, because we’ve been taught to focus on one particular thing or one particular way of knowing. And here I’m thinking, this isn’t in the book, but just if I’m a student and I’m not used to having math classes where I see any of the things I care about represented, and all of a sudden I’m being shown how math is actually important in all of these different realms of my life taught from a way that my community speaks, then I’m going to learn it differently than if I’m shown something on the board and then somebody steps away. The ways that I’m going to engage the space, the sort of questions, and this is from section two, now, how do you just even set out the room so that when students come in, they have space to sit down? How do you go about offering assignments? What sort of options do you have for them? So if you offer, let’s say if you have a reading list, and you are requiring students to purchase books and they have to have physical books, when do the grants that help them purchase books come out? If you’re setting them a text that they need to buy and they need to be reading before that grant comes out, they can’t afford the book, that’s why they’re getting the grant. So maybe adjusting when you’re going to start assigning texts that they need to purchase and front loading things like articles that maybe you can give online or things that you can print and give out to them. Simple adjustment, doesn’t call anyone out, but takes into account that some of the students in the class might very well only be able to buy books as soon as that grant comes through on the first Friday of the semester. In other cases, things like having policies that allow students to step out of the class in the event that something becomes triggering for them, not knowing if students have certain types of traumatic experiences in their histories. So saying, “If you need to leave for 15 minutes, step out of the room for 15 minutes, come back in, we have resources available to you.” Things like having, on the campus itself… so this isn’t so much controlled by faculty, but administratively… food kitchens where students who might be experiencing difficulties being able to purchase food, where they can go and get items that they need. Things like professional development workshops on campus. So students who are the first in their families to be graduating college might be the first in their families to be going for these professional level careers. Do they know how to choose a suit that fits? That might sound real simple to some people, like, “Yeah, you don’t want gapping around the pockets, and the shirt has to fall in a certain way.” But if this isn’t your family, you have no idea, and it can be very intimidating to ask for help. So does the campus offer those kinds of services? If they offer professional level clothing, do they offer the other part of it that maybe shows students these other skills that we take for granted as everybody having, but that a lot of students might not have, and so being able to access that, and in a way that doesn’t call them out, that doesn’t act as if it’s charity, but instead, this is part of the experience, and everyone should have it.

Rebecca: Really appreciate, as a designer, you talking about the difference between designing for equity in the s tart versus retrofitting something that was definitely not designed with equity in mind at the back end, right? Those experiences are different, our ability to create equitable experiences are actually quite different under those different circumstances. One of the things that you were just talking about points to the need that faculty have to understand some of the other systems that exist that are outside of the curriculum or outside of their subject matter, like the timing of when grants might be available, or how financial aid works,[LAUGHTER] because those actually have significant impact on the experiences of students at our institutions, and we can make design choices that think about some of those things that are in place, that maybe aren’t as easy to change, or they certainly aren’t going to change at the same speed [LAUGHTER] that we can adapt or adjust a class. I really appreciate that thought. Can you talk a little bit more about, maybe the responsibility faculty might want to take for better understanding some of these other systems, so that they can account for things like this?

Roberta: So it’s a hard balance, right? Because, on the one hand, and this is something I’m very cognizant of, I have curriculum that I have to teach, and I have to make sure that I deliver it accurately and responsibly. It’s easy to get lost in that and we have all of these other pressures. Because teaching alone isn’t it. There’s teaching, there’s service, there’s scholarship, and there’s conferences, and sometimes you get to the end of the day and spend 13 hours, and you know that there’s more [LAUGHTER] for the next day. So I think part of this is not so much adding to the plate, but instead shifting. And I’ve been hearing about the use of the language of shifting. How are we just going to shift over rather than asking faculty to have these extra heavy loads when there’s already so much on the plate? And I think that part of that can be done using mechanisms that we already have. So things like academic affairs retreats, professional development workshops that our campuses offer, even when we go to conferences or things like that. But having people, instead of saying, “Here’s a list of things you have to put on your syllabus,” and then moving on, having opportunities for, for instance, financial aid to come in and meet with faculty, and maybe it’s more of there’s a lot of us, [LAUGHTER] there’s few of them, there’s more of us. So having them come to like department meetings and actually walking us through when certain things will hit and when they don’t. I know about, for instance, a grant for books, because my first semester on campus, students told me about it. Before that, and I know we’re not supposed to do this, but I would just say, “You need a copy of the reading? Here’s my book. Do what you need to do. Just give me the book back before class, so that I have time to prepare.” And you know, they’d be photocopying or taking photos with their phones. But then they told me about this grant, and I was like, “Well, that’s essential to know.” [LAUGHTER] If you can’t buy the book, you can’t buy the book. So then looking at library resources, showing them how to get access to books from interlibrary loan if they’re like, “I genuinely cannot afford this book.” What can you get through Interlibrary Loan? What sort of resources do we have? So having workshops like that with faculty can be very helpful, but it has to be timed. So, you know, we have due dates as well. So having syllabi available by a certain date means that we have to be thinking about spring semester like the year before. So it’s about finding those timings that work with faculty schedules and requirements from the campus itself, and offering those and also, I think the importance of professional development time for faculty, I think across the nation, is kind of hard to find time for right now, but it’s a necessity. If we can sit down and say, “Okay, here are the actual skills that I want them to have? What are the variety of fun things that go along with those?” If I want them to be considering how to find an argument in a poem, I am not a technology person, so bear with me, can I have them distill it down to a meme? (I just learned about memes not too long ago.) And then, “How do I get them to work with that?” So this is using their own sensibilities, drawing from their own cultural knowledges, their own backgrounds, thinking through what sort of resources they have available to them. They’re still going to know how to be able to distill an argument. They’re still going to be able to identify and articulate what is it this person wants me to get and how are they trying to persuade me, but doing so in a manner that allows them to cultivate their own knowledges and not saying, “Well, this is the only way to do it. This is the only option that we have.” But instead offering these varieties. Now, as an English professor, I am always going to end up coming back to the written word, and that’s okay, there’s nothing wrong with that. But what are the flexibilities that are available around that? That students can engage? What different angles can we offer for students to come into the conversation from, while still holding standards and working with students to find that they are very capable of achieving these things? I’m thinking of the book, Nuyorganics, and it’s this brilliant book… it came out a few years back… but about having students cultivate their cultural knowledges and organic intellectualism, combining that to create different types of assignments in the classroom that then move forward. But we need time to be able to do this. And so, in a perfect world, we would have time to do it. So maybe this is something then, that individual departments can start thinking through. If this matters to us, if it’s not a token gesture that we want academic excellence for all, let’s create times and some of the stuff that’s mandatory, like meetings or whatever the case may be, where everybody gets together and actually have somebody come in as a guest and speak to us about some of the things that they’re doing that work, or maybe some processes for finding things that might work for them. I think key to this all too, though, is that it’s not about not making standards or things for students, but instead helping them cultivate the very real skills that they need for success. And that’s part of the conversation too and I think going back to the question about students finding ways to make it through college versus some who are not, this is part of that whole complex system. What resources do they have, and do they know how to, from their own lens and from their own styles, engage these? That there isn’t just one way of going about things or one way of doing it that’s correct, but all these varieties that are available to them.

John: As Rebecca noted, we’re lucky to live in a state where there is still support for diversity, equity, and inclusion initiatives and attempts to try to make things work better for all students, but we do see a number of states that are imposing some really serious restrictions on what people are allowed to teach. They’re redefining our history, redefining science, and limiting what can be talked about in terms of many issues. What advice would you give to faculty who are trying to help students in that environment?

Roberta: I think the first thing would be, know the law and not the law as you’re being told it’s the law, but what is the actual letter of the law. If you know the letter of the law, if you know what it actually says, and you have a cohort of people that similarly know what it actually says, you can make decisions about your response rather than being caught in the moment and having to react. And I think that one struggle people are having is that they’re being put into situations where they’re having to react on the spot. And it’s not that their reactions are bad. They’re human, and what they’re responding to [LAUGHTER] in many cases just doesn’t make sense. I will give them that. But we also have to acknowledge that the paradigm has shifted, and we cannot respond the way that we thought it worked when it’s already shifted. We have to know what’s happening now and what is our relationship to that. I heard a statistic recently about people’s desire for their children to go to college and get degrees, and, you know, it’s lower than it was 20 years ago. That’s about faith in education and faith in the learning process, and in states where people seem to be vilified for wanting to give education books, being thrown away, it’s hard to maintain faith in the very things that we know in our core are right, which is that you don’t discriminate against people because of their race, their ethnicity, their socioeconomic backgrounds, their gender, their sexuality, and disability. And we’re thinking about different ways of knowing. We know this. And I think sometimes the small group of people that are shouting the loudest seem to be the ones that make up the majority, and they don’t. We’re seeing pushes against restriction of political thought. We’re seeing pushes that are being successful, against the attempt to restrict access of education to certain communities. The momentum has to maintain though, we can’t back down from it, and we have to also remember that we need to remind people we are supporting them, that we are here for them, that we will do what we can to support them, that we have not given up the fight, right? It’s not a death knell. It is a call to arms, and we are ready. We might need breaks. [LAUGHTER] Some of us might need to rest every now and again, and that’s totally fine, but we don’t give up. We keep going, and we will continue to be supportive.

John: In line with what you’ve just suggested, back in 1853, Theodore Parker said that “The arc of the moral universe is long, but it bends towards justice.” And this is a quote that was frequently repeated by both Martin Luther King and by President Obama. Do you think we’re going to get back on a better path in the near future?

Roberta: There’s a quote from a book called King Solomon’s Mines, British fiction from I guess a century almost now, ago. And the book is very problematic, but there’s a line in it that goes, “Where there is life, there is hope.” And as much as the book is super messed up, and I’m not advocating anyone read it, I take great comfort in that, that we always have the ability to move forward, that if there is life anywhere, that we can always continue to cultivate the best parts of ourselves to make the world a better place and I think for a long time, we haven’t necessarily been encouraged to cultivate those best parts of ourselves, when you turn on the media, when you turn on the television, whatever it might be, seeing people screaming at each other, seeing people waving flags in each other’s faces, on both sides. And we think about like the polarization of the United States, this has gone on, you know, it’s older than me. But that doesn’t mean there aren’t those of us who really believe in education. That really believe in the ability to learn and grow and find those better parts of ourselves and be open to change. And change is not easy, change is difficult. It hurts. When we grow, we go through growth spurts and our bodies hurt. We grow teeth and our gums hurt, but it’s okay, because on the other side of that, growth is something very real. And right now, we are in a space of growth, and I turn to Gloria Anzaldúa here, because I think about the path to “conocimiento,” which means the path to coming to consciousness. And it goes up, it goes down, it goes left, it goes right, it spirals, and sometimes you think you’ve got it, and nope, you’re right at the beginning again. But if you can engage the process, you will start coming into these movements of complexity and being able to figure out new realities for yourself. I do think that things will get better. I don’t know how long it will take. I would like to say tomorrow, and maybe for some of us it will be, apparently, the planets just realigned themselves last week, and I take great hope in that. [LAUGHTER] But genuinely, I do think that there is hope for the future. When I hear some of the things that my students talk about… I just went through midterms, and seeing some of these midterms just renews your faith in everything, because you’re like, “Thank you. Thank you for believing you could do something that was different. Thank you for trusting the process and yourself enough to engage in this, even if it was new and scary and different.” It’s okay to cultivate those parts of their imaginations and creativity in combination with critical thinking. I think one of the major attacks right now is on critical thinking skills. We don’t give up on those. We hunker down with them. That might make us dangerous, but it also means that we know how to ask good questions, and it’s going to be those people who are able to ask good questions that are going to lead us into the future. I think about Brenda Marie Osbey. She was the poet laureate of Louisiana a few years back, and I got to meet her one time, and she said, “the job of the artist isn’t to answer the question. The job of the artist is to ask them and then to follow these questions through all of their different pathways and find all these nuances and things that we weren’t thinking about or things that we weren’t considering and bringing those to light.” Yeah, that’s it, that ability to think, the ability to create, the ability to continue moving. We do have a lot of pain that we haven’t dealt with, centuries in the making that we do have to deal with, and maybe that’s part of why we’re in this moment now. But that doesn’t mean we can’t come out the other side of it. We just have to have faith that there is another side of it, and I genuinely believe there is.

Rebecca: Given that John has already asked about your crystal ball. I’ll ask a follow up. We always end by asking, what’s next? It could be personally, professionally, the book, any way you want to spin it.

Roberta: So I have a book chapter coming out in a collection called ¿Y Yo También?, and it’s about Latinas and the Me Too movement. And it’s got creative pieces in it, it’s got scholarly works in it, but it’s designed so that anyone can read it, which is awesome, because sometimes we have these very jargon laden conversations about people’s very real experiences that can make it hard for everyone to join in the conversation. So I love this book. It’s coming out with Rutgers University Press this coming fall. The faculty member is in New York, her name is Melissa, and again, coming out this fall. I have a second monograph that I just finished called, But is it sexy? that looks at representation of eroticism in Puerto Rican women’s literature, which was incredible to get to research and write and I’m looking forward to that. Moving forward, I’m going to be presenting at NADOHE, which is the National Association of Diversity Officers in Higher Ed at the end of March. And then next spring, I get to teach poetry, which I’m excited about. And then this semester, I have two more guest artists coming as part of a larger series. Denise Chávez will be joining us, as well as Melissa Rivero at the end of the semester. So these are all major moments of excitement, and I very much look forward to.

John: Well, thank you. It was great talking to you, and I hope your book makes an impact on people.

Roberta: Thank you. Thank you very much.

Rebecca: Yeah, thank you for all your work.

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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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437. Impostor Phenomenon

Impostor phenomena can deter college students, especially students from historically underrepresented groups, from pursuing majors in STEM disciplines. In this episode, Sara Kien joins us to discuss strategies that can reduce imposter phenomena and reduce equity gaps in student success.

Sara is an Associate Teaching Professor at Northern Arizona University. She has a PhD in cognitive psychology and recently completed a masters degree in information and data science. Sara is an award winning educator with over 20 years of experience and the author of Data Science and AI in Psychology, an interactive eTextbook on data science, big data, and machine learning in psychology.

Show Notes

Transcript

Rebecca: Impostor phenomena can deter college students, especially students from historically underrepresented groups, from pursuing majors in STEM disciplines. In this episode, we discuss strategies that one faculty member has used to reduce impostor phenomena and reduce equity gaps in student success.

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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 Sara Kien. Sara is an Associate Teaching Professor at Northern Arizona University. She has a PhD in cognitive psychology and recently completed a masters degree in information and data science. Sara is an award winning educator with over 20 years of experience and the author of Data Science and AI in Psychology, an interactive eTextbook on data science, big data, and machine learning in psychology. Welcome Sara.

Sara: Thank you so much. It’s great to be here. Thank you for having me.

John: Thanks for joining us.

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

Sara: I am. I was so excited about this part of the podcast. This tea, I have to say, is pretty legit. I love tea, and I put time and effort into tea, yeah, so I was really excited about this. So my tea comes from a local company in the southwest called Old Barrel Tea Company, and so we have one of their flagship stores here in Flagstaff, Arizona, which is where Northern Arizona University is located. And so they just have a wide range of tea options. And so this tea today, I chose berry, and then I even have some special honey, like oak-infused honey added to this tea. And so I was just really excited to get my tea ready and to brag about my tea, and also to plug the Old Barrel Tea Company, because they’re fantastic. and the oak

John: And the oak-infused honey certainly fits with the old barrel, [LAUGHTER] nicely.

Sara: Yeah.

Rebecca: Yeah, it sounds right up. John’s alley.

Sara: Wonderful.

Rebecca: Today I have Scottish Breakfast tea.

Sara: Hmmm

John: Good. I had that a couple times yesterday, but today I have a ginger peach green tea.

Sara: Oh yum.

John: We’ve invited you here today to discuss your work addressing impostor phenomenon and your work in redesigning data science classes in psychology. What does the data suggest about the prevalence of impostor phenomenon among college students?

Sara: That’s a great question. It’s also a bit of a complicated question, because it really depends on how impostor phenomenon is measured, and it also really depends on the context. So just to provide a little background regarding this construct, impostor phenomenon, which is also commonly known as impostor syndrome… so I think a lot of folks will be familiar with that terminology… was actually coined in 1978 by Pauline Rose Clance and Suzanne Imes as part of their work examining or investigating highly successful women who had a really difficult time internalizing their success. And so at that time, they coined the term impostor syndrome, and over the years, increasingly, the research has suggested that impostor syndrome, or now as we refer to it, impostor phenomenon is highly prevalent. It’s quite pervasive, actually, with recent findings suggesting that, in terms of just generalized impostor phenomenon, rates might be high as 80% in the population of individuals experiencing a sense of impostorism. And so what is impostor phenomenon? What are some of the defining features or characteristics? Currently the field identifies three elements. So the first is a really intense or chronic feeling of self doubt in spite of overwhelming evidence of achievement. So really just a belief that you’re a fraud. That’s really the heart of impostor, right? That I’m an impostor, that I’m a fraud, that I don’t belong here, that I’m here by accident. Everybody else belongs here, but I don’t. And so that second element, like that I’m here by accident, is discounting our success, or believing that our success is undeserved, and that we attribute our success to factors other than ability, so luck, for example, or maybe in the case of academics, a lenient professor. So I received an A in that course because my professor is really lenient and it’s just an easy course. Or I just worked harder than everyone else, but everybody else just has, like, natural ability that I lack. And again, I just really want to emphasize that it’s not just any feeling of self doubt, but really a feeling of self doubt in the face of conflicting evidence suggesting otherwise. So like in many cases, in spite of overwhelming achievement. And so how can we experience such levels of self doubt that contradicts the evidence, by discounting the evidence. And then the third element is just a fear of exposure. So if I’m a fraud and I don’t belong and I’m an impostor, then I’m just constantly sort of hyper vigilant about covering my tracks, and very concerned about being exposed as a fraud. As I mentioned, there’s recent evidence to suggest that rates of academic impostor phenomenon can be as high as 80% in the general population, and for this reason, recently, researchers have moved away from “impostor syndrome” as a relevant term to “impostor phenomenon,” because that level of prevalence really suggests potentially more systemic issues, rather than individual level factors. So syndrome suggests that there are issues at the level of the individual. In addition, it’s not a clinical diagnosis, syndrome really often refers to something that’s more clinical in nature. This is a common set of thoughts and feelings that are experienced by many individuals, quite commonly. With respect to academia, more specifically, the estimates for the prevalence of academic impostor phenomenon vary quite widely, again, often depending on how it’s measured. So, in some cases, the measurement might just include feelings of impostorism. But in other cases, measures might include all three defining elements that I mentioned earlier. And really one of the issues has been that within academia, or academics, more specifically, we haven’t had a relevant measure of academic impostor phenomenon. And so the evidence suggests that the rates range from maybe 20% to 50% or higher, depending on the degree program, depending on the context. And so in degree programs that tend to be more competitive, where there’s an emphasis on like hyper-productivity and the stakes are really high, like in medicine, for example, we see higher levels of impostorism. And again, that just highlights potentially systemic level issues, system level processes that are contributing to how individuals are experiencing their success and how they’re interpreting their experience within academia. So, fortunately, recently, some of my colleagues have developed an academic impostor phenomenon measure. So Valerie Todd and David Mcilroy published a validated measure of academic impostor phenomenon in 2025. Recently, as part of a joint effort within that collaborative team, we have been applying that specific measure in a program of research that’s examining academic impostor phenomenon. We’re very excited about the potential to examine rates of impostor phenomenon in the academic context, more specifically. And then in our case, as a research team, we’re all psychologists, so we’re starting with psychology majors and exploring rates of impostor phenomenon within the field of psychology. I guess one thing I could add, actually, before I say a little bit more about our program of research with respect to the validated measure that was recently developed by Todd and Mcilroy, that that measure is available for anybody who’s interested in the Journal of Current Psychology. And then the other thing I wanted to mention, in terms of addressing prevalence within academia and the call for a more validated measure, there’s an excellent review of the literature that was published in 2023 by Dana Ménard and Laura Chittle in the journal Review of Education. And so for anybody who’s interested in more details regarding prevalence and measurement, that’s a really excellent review.

Rebecca: It’s exciting to hear that there’s new measurement tools available, because even in casual conversation with students, in my context, it’s orientation for all the graduate students at our institution, they all easily say, “Yes, I know what that is. [LAUGHTER] I’ve had experience with that.” And when we bring it up and try to address it as a group, there’s a really high affect towards that in acknowledgement that that’s an important thing that we’re addressing in our orientation for these students.

Sara: Exactly. So that’s such a great point, because that actually leads to the next thing that I wanted to say. But just to address that specifically, as we’ve been developing this program of research, the number of students who are interested in getting involved in the research, either as participants or as undergraduate/graduate level researchers, or even just colleagues, like other faculty. So this is pervasive throughout academia, feelings of impostorism and self doubt. In spite of academic achievement. The number of individuals who want to get involved in this work really is quite overwhelming. For students. It’s very relevant, especially within the field of psychology, as I’m sure is the case in other fields, students really want to make a difference, and they’re very familiar with their experience and the experience of their peers, and they want to get involved in work that they think will be supportive and help to support wellbeing among their peers more generally. And the same is true for faculty. Of course, faculty care about student success and want to do everything they can to support students and so learning more about this phenomenon and the factors that predict this phenomenon, or intervention strategies and even to support their colleagues or even help to enhance their own wellbeing within the context of their career. It’s just really relevant. It’s very personally relevant for many folks in academia. So this research team includes Valerie Todd and David Mcilroy, who are both at institutions in the United Kingdom. So this is part of an international collaboration, but also Jennifer Coleman at Western New Mexico University and Ivette Merced at Irvine Valley College. We’ve started investigating rates or prevalence of impostor phenomenon among psych majors with this new tool, and what we found is that, as you just mentioned earlier, actually the majority of students report some level of impostor phenomenon. And then what’s also interesting with respect to prevalence, and so I mentioned that it’s a little complicated because it turns out it’s context specific. As part of this work, I’ve actually been leading one line of research in this larger program that’s focused on supporting students, supporting psych majors in more STEM-focused courses as a part of their psychology degree program. So we contextualized this tool to measure academic impostor phenomenon in relation to statistics, more specifically, or research methods more specifically, or psychology in general, in addition to the more generalized measure. And what we found is statistically significant differences in average scores of academic impostor phenomenon depending on context. For psych majors, academic impostor phenomenon in relation to statistics scoring significantly higher than other types of AIP. So again, what’s the prevalence? It really depends on how we measure it. It depends on the context, it depends on the domain, and we’re seeing like just a growing body of research and literature in this area. So I think it’ll be really interesting to continue exploring this question moving forward.

John: So you mentioned some ways in which it varies. You mentioned in statistics classes, for example, there seems to be higher rates. You mentioned earlier that in the more competitive fields, there seems to be more. What other factors seem to result in higher levels of impostorism.

Sara: So, in terms of the factors that predict impostorism, there are a few individual level factors, but we’re seeing increasingly that the individual level factors really interact with what’s happening more at the systems level, with systemic factors. Some predictors include some personality characteristics. There’s some evidence to suggest that neuroticism, for example, predicts impostor phenomenon more generally, as well as academic impostor phenomenon to the extent that that’s been measured in academic context. Perfectionism is strongly correlated with academic impostor phenomenon. We also see other correlates. So for example, academic impostor phenomenon, and impostor phenomenon more generally, is associated with mental health issues like depression and anxiety, psychological distress, burnout. But one thing to note here, in addressing these correlates and the factors that predict academic impostor phenomenon, is there’s really a lack of research that investigates causality. So it’s difficult to know, for example, whether feelings of impostor phenomenon give rise to perfectionism or lower self esteem, which is another correlate of impostor phenomenon, or whether lower self esteem and perfectionism predispose individuals to higher levels of impostor phenomenon. So it’s hard to discern the nature of that relationship, but some other factors as we start thinking about like, “Well, what’s happening at the individual level versus a more systemic level?” There’s been a body of work examining demographic differences in impostor phenomenon. So Kevin Cokley at the University of Texas at Austin has been studying impostor phenomenon in academic contexts for over 10 years, and has published some really interesting work in this area, and also in the area of mental health implications of impostor phenomenon. And again, that review that I mentioned earlier, the Ménard and Chittle review, published in 2023, does a really nice job of highlighting essentially what is intersectionality, or the interactive nature of individual level variables and what’s happening at the systems level. So with respect to demographic factors, a number of researchers have explored group differences between individuals who are historically minoritized in certain settings or pathways, and examined variability among those populations. And ultimately, the findings are mixed, with some research suggesting that there are group differences, for example, gender differences or differences based on race or ethnicity, while other research suggesting that there are no group differences. And so follow up research has revealed that with respect to group differences, the answer is, “it depends.” So, there aren’t just inherent differences in academic impostor phenomenon across demographic groups, with certain minoritized groups, for example, Women in Data Science focused degree programs or computer science focused degree programs. In the field of data science, for example, women only make up 20 to 25% of all data scientists. So in fields where women are historically minoritized or are underrepresented, we don’t necessarily see higher levels of academic impostor phenomenon among women. What matters is the context. So whether the context that women are in highlights those disparities. So is there evidence of racial discrimination or gender discrimination in these environments? Is there evidence of prejudice? Are there sufficient role models who can serve in a mentoring capacity for individuals who might be underrepresented within a particular industry or domain, and is there access to representation? In addition, often environments that are more competitive in nature tend to exacerbate impostor phenomenon for individuals who might be historically minoritized or underrepresented in certain domains. And so really, what the research suggests is that academic impostor phenomenon may serve as a mediator or a mechanism by which prejudice and discrimination underrepresentation, hyper productivity and competitiveness can impact mental health. So without that context, group differences in impostor phenomenon may be similar, but if you add those stressors, then we might see an exacerbation of impostor phenomenon, in the sense of: “I don’t belong here. I don’t belong. I don’t fit in. I don’t know how I got here. I’m at risk of being exposed for my lack of ability,” which then can have implications for mental health and for future outcomes.

Rebecca: You’ve talked a bit about the prevalence and that it’s pretty common that people have some of these feelings. What are the consequences if students experience impostor phenomenon in their persistence?

Sara: The consequences can be widespread and cascading, unfortunately, and different people handle the experience of impostor phenomenon in different ways. Generally speaking, the research suggests that some of the most prevalent or pervasive kinds of consequences include effects on mental health… so, depression, anxiety, psychological distress, burnout. There is also a relationship with lower self esteem, lower academic self confidence or self efficacy, so your belief in your ability, which aligns well with those three elements of impostor phenomenon… maladaptive perfectionism, so a kind of perfectionism in which you set almost unattainable standards and goals which can exacerbate feelings of distress and burnout and exhaustion. And in turn, these mental health struggles can lead to unfortunate outcomes, for example, procrastination, like, how do we cope with these kinds of mental health issues, right? And how do we cope with these distressing thoughts and feelings related to self doubt? So procrastination, avoidance, and withdrawing can lead to delayed graduation. In the case of students, we might change degree programs. In the case of faculty, we might change careers. We might leave academia and pivot and pursue a different line of work. Sometimes students are at risk of dropping out. Another unfortunate outcome that can occur is a type of self sabotage, in which students become less risk taking because beliefs about their lack of ability, in other words, are less likely to pursue certain scholarship opportunities, or maybe less likely to pursue graduate school, or, in the case of professionals within academia, are less likely to pursue promotion. So that’s one kind of consequence or outcome, another outcome related to perfectionism. And then what we see also, in relation to certain personality traits like conscientiousness, is that we see on the flip side, some individuals compensate over-preparation, which can be a mechanism leading to exhaustion and burnout. So then again, we see, in terms of the impact on academic performance like GPA, the findings are mixed because many individuals who are experiencing impostor phenomenon overcompensate through over-preparation and perfectionism, so they’re still dealing with the mental health struggles associated with impostor phenomenon, but because of a fear of being exposed, they’re working harder than anyone else to try to hide what they perceive as their lack of ability. The language I’m using is like “t\They’re doing this, [LAUGHTER] you know, this is what they do,” but just as full disclosure, most of us are familiar with this phenomenon. So even for myself, on a daily basis, I’m challenged with feelings of impostorism. Even preparing for this podcast, I have a perception that there’s a certain level of expertise that I should be demonstrating as part of this podcast interview, have self doubt at times about my level of expertise and whether I can communicate effectively. For me, I fall on the more perfectionist side of the equation, so that I’m at risk of over-preparing and starting to feel self doubt about whether I can cover everything that I want to cover. A little later, we’ll talk about strategies and intervention for addressing feelings of impostor phenomenon. But I have to take a step back and recognize what’s happening and reframe my experience, and just to highlight that this is a common experience, and even for those of us, or maybe even especially for those of us who are conducting research in this area, we’re motivated by similar kinds of experiences that we’ve had that have impacted us throughout our educational journey or throughout our career. So with respect to students, for educators who really care about students and who are really student centered, it’s really important to consider the mental health struggles that they might be experiencing and the ways in which those could be impacting their performance in the classroom as a function of academic impostor phenomenon, including whether students participate in classroom discussions or how engaged they are in group work. If they are concerned about a sense of belonging, whether they belong, they might feel less comfortable sharing or engaging with other students, with their peers, and in particular, if they feel that there’s risk of being exposed as a fraud. So in many cases, a student who may seem withdrawn isn’t necessarily disinterested or uninterested in the course material, they might be dealing with significant feelings of self doubt, fear of exposure, that are leading to mental health struggles, all of which might be associated with their behavior in the classroom.

John: A while back, we interviewed Peter Arcidiacono, who was one of several authors of a study that looked at the attrition rates from students in STEM majors. In particular, what they found in the study was that women, on average, did better in introductory STEM courses, yet they were more likely to not pursue a major in it, even though they were interested in a major, in large part because of the lower grades received in STEM classes. Is it likely, perhaps, that impostorism may be one of the factors where the signal of lower grades in some disciplines may encourage some people to leave the discipline, especially if they’re already underrepresented in those areas.

Sara: Yeah, absolutely. impostor phenomenon could be one of probably several factors that are relevant, like one of the things that unfortunately occurs in more competitive degree programs, like STEM degree programs, a kind of a culture and environment where showing struggle can be penalized, where there’s additional pressure to maintain a perfect facade. If an individual is from a historically minoritized background with respect to that degree program or that domain, and is experiencing a fear of exposure for a lack of ability, may be less likely to reach out for support, may be less likely to engage in help seeking behaviors where they share openly about their concerns and their doubt and their struggle, and therefore are less likely to receive support, both in terms of mental health, but also academically. And then, as I mentioned earlier, what are the factors that predict persistence. What helps the student to be more likely to persist and to follow their interests and to follow their passion? Self efficacy is a strong correlate. So belief in your abilities, which is undermined by impostor phenomenon… faculty support which is less likely to occur if students are afraid of being exposed, and if the culture, as I mentioned, emphasizes projecting an image of success, so less likely to access faculty support if we feel penalized for sharing our struggles. Aso, you know, one major issue with respect to impostor phenomenon is that we don’t talk about it enough. It’s such a relief to hear that more institutions are introducing these discussions for incoming classes of students, because it’s not just what students can be doing, what faculty can be doing, but really what needs to be happening at the institutional level, where we’re normalizing impostor phenomenon so that students feel like they’re not alone in these experiences, and they feel more comfortable reaching out for support and sharing their struggles, especially in highly competitive contexts. For students who start to experience any type of failure, who are internalizing their failure, but failing to acknowledge their success and maybe even essentializing that failure as an indicator of lack of ability, those failures are pretty high-stakes situations. For those students, that’s an indicator of lack of ability that suggests that you’re not cut out for that field or that discipline. In those more competitive environments, it is the case that grades and research productivity and networking success are pretty high stakes, so early evidence of failure can feel catastrophic in those types of competitive environments where the stakes are so high. And again, if we had more opportunities to normalize the experience, more faculty support around these issues, potentially students would feel more comfortable reaching out and getting the support they need early. I really want to emphasize that it’s not students who are self selecting out. It’s really systemic, which is why, at an institutional level, we need to provide these supports. Without an institutional support system, it’s really the system pushing students out, especially students who are historically underrepresented, who maybe also feel lack of role models that they can reach out to, or lack of representation, which exacerbates their experience of impostor phenomenon.

Rebecca: You’ve talked a bit about the importance of normalizing impostor phenomenon as a way of systemically starting to address some of these issues, because if more of us in leadership roles or in an educator role are also modeling that we experience this too, then it becomes less scary for a student to also admit those same experiences. What are some of the strategies that you’re using in your own classrooms, to start to mitigate the feelings of impostor phenomenon and the potential outcomes that can result?

Sara: That’s a great question. I feel like there are some strategies that I’ve been implementing for several years, and I also continue to improve in my ability to provide support in this area. Normalizing, as I mentioned, is a really important one, and we can also model our own impostor phenomenon experience in an effort to normalize. And what I find is that students experience great relief in learning that an individual who’s in a position that they might aspire towards also has experienced similar kinds of feelings. And really, what I found is that it helps to really open students up, and then students are more likely to share some of their own experiences of self doubt and concern. In my case, I’m teaching research methods and data science courses within the field of psychology, and the statistics and research methods courses for psych majors tend to be the most dreaded courses. And as a woman within the field of psychology, teaching data science, where women are underrepresented by and large (even in the subfield of quantitative psychology, at the upper levels, we see an under representation of women), I think it provides additional support for students with diverse gender identities to relate, in particular, to a role model who is underrepresented with respect to that particular domain or within that field or subfield. And so I do as much as I can to just share openly and honestly, to allow myself to be vulnerable in a public setting with students. For me personally, that’s required that I do my own work in addressing my feelings of self doubt and trying to understand the source of those feelings. Then that leads to the second highly effective strategy, which is cognitive restructuring or reframing. It’s quite normal to have thoughts and feelings related to self doubt, even if we understand the source of those thoughts and feelings, it’s still common for us to experience those thoughts and feelings, but we don’t necessarily need to attach ourselves to those thoughts and feelings. So reframing those experiences when we notice them can be highly effective, and there are a few different strategies for doing that. Mindfulness meditation is really helpful in becoming increasingly aware of automatic thoughts and emotions that arise, and becoming aware of those thoughts and emotions in a non-judgmental way. So mindfulness meditation is often a strategy that’s suggested in relation to cognitive reframing, but once we notice those thoughts and feelings, we can apply a new frame, for example, a growth-mindset frame. One thing I should emphasize is that there’s actually some evidence to suggest that the outcomes associated with impostor phenomenon are not necessarily negative, that there are actually some positive outcomes associated with impostor phenomenon. For many of us, if we experience feelings of self doubt, it can be a motivator. It can motivate us to learn more and grow in our abilities and to work harder. So when we experience feelings of self doubt, we can actually reframe even that impostor phenomenon from a growth-mindset perspective, like these feelings are just like my mind and body’s way of helping me to feel motivated. Of course, if they become maladaptive and start giving rise to depression and anxiety, then it’s important to start addressing those specific thoughts. More specifically, one example is if we’re feeling self doubt and concern about our ability in relation to any academic task or a particular academic course. Instead of identifying a specific end result that relates to social comparison, like I need to be at a particular level, we can reframe our experiences just in a perspective of growth. You know, I’m going to put effort into this activity that I care about, and my goal is to simply continue growing and developing in my experience, regardless of standards of success that are presented within a particular field or within a particular profession, so to reframe in terms of like interest and growth and effort, rather than essentialized abilities that have a particular end goal. One helpful approach to cognitive reframing is to reframe our thoughts and emotions in terms of growth mindset. So a growth mindset emphasizes effort and improvement, even in the face of failure as a function of effort. So really understanding that our abilities grow out of interest, passion and effort. In contrast, a perspective of traits or abilities as fixed suggests that these traits and abilities are innate, that we’re born with particular traits and abilities, so that failure reflects a lack of ability. Really, failure is an opportunity to continue to learn and grow, and imagine that we could continue to improve as a function of effort, even in the face of failure. So that would be an example of cognitive reframing in relation to growth mindset. And research has shown that growth mindset, in particular, is a really helpful approach to cognitive reframing.

John: Are there other things at the institutional level that can be done to reduce the impact of impostor phenomenon?

Sara: Yeah, and actually, I can say a few more things about instructor-level support. So in addition to normalizing and cognitive reframing, other approaches that are helpful that I also try to encourage in my own classroom include helping to support sense of belonging. So opportunities for students to work together in meaningful ways where they actually get to know each other and can support each other in accomplishing a challenge or a task is an effective way to help offset feelings of impostorism, but also to allow students opportunities for support among their peers. And as part of the research that I’ve been conducting in collaboration with my research team, we’ve actually started developing more formalized interventions that incorporate all of those elements, so normalizing, reframing, cognitive reframing, the value of faculty support and modeling, the relevance of role models that students can relate to, and increasing sense of belonging. We’re just currently launching a study that specifically examines the effectiveness of an intervention that includes all of those different elements. At the institutional level, some strategies can include integrating mental health support into the curriculum, increasing access to mental health support for students, normalizing at the departmental or institutional level, which is something we’ve already discussed, having those conversations for, like incoming cohorts of students. There’s research showing that faculty who have greater self efficacy in addressing diversity are more effective at addressing diversity in the classroom, and that can be particularly relevant for addressing impostor phenomenon that’s exacerbated among historically underrepresented students, students from racial, ethnic, gender, sexual orientation backgrounds that are not necessarily represented within their fields of interest. Some of the findings coming out of our teams include the importance of classroom comfort and faculty support, so normalizing and discussing these issues, not just at the level of student, but also among faculty, providing opportunities for faculty to learn and share about their own impostor experiences, so that they are better equipped to bring these kinds of strategies into the classroom or to have these kinds of conversations with students.

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

Sara: The focus for our research team, as I mentioned, is really to continue this intervention work, and members of our research team continue to offer workshops as well. We give talks and seminars related to impostor phenomenon that can help to support faculty and staff and students within academia as they address impostor phenomenon in their own lives, but also that offer strategies and tools and techniques that they can bring with them into their departments and into their classrooms. We want to continue to expand the research to include more diverse contexts, disciplines, and even more diverse institutions. So right now, we’re focused on psychology majors, but we are really looking forward to extending this research to other disciplines and other institutions. As I mentioned, it’s an international collaboration, and we’ve had a lot of interest among other faculty and researchers who want to join this effort. And so we really want to expand our research to include international contexts, and then to continue to develop workshops to support faculty training around academic impostor phenomenon. We’ve discussed the possibility of writing a book together that addresses, in particular, context specificity of impostor phenomenon. So one of the novel findings that we are bringing to the literature is the variability in academic impostor phenomenon in relation to even specific courses within a degree program, in relation to different contexts within a discipline. And so I think it’s really important to continue investigating intersectionality and the complexity of impostor phenomenon. Under what circumstances do particular contexts give rise to impostor phenomenon? So it’s not just like for whom, but for whom under what circumstances. And another element of that is, for whom, or under what circumstances, are particular strategies or interventions effective. So there probably won’t be a one-size-fits-all formula for helping to mitigate experiences of impostor phenomenon. The strategies that are effective will depend on for whom and under what circumstances the kind of impostor phenomenon that a student is experiencing. And so we’re really excited about really diving into the complexity of this phenomenon, of this construct.

Rebecca: We look forward to hearing where the research leads and your findings.

John: Thank you for joining us. This is an issue that clearly is affecting a lot of people. So getting more information out to other educators, I think, is going to be helpful.

Sara: I’m really grateful that you invited me to participate in this podcast. As I mentioned, I did some cognitive reframing for myself in preparation for this interview. And for me, one of the helpful thoughts and strategies was to just acknowledge that even if there’s some information that I really would like to cover that I forget, let’s say, or like, even if I’m not quite as comprehensive in addressing all of the relevant points that I would be really excited to share with you, that increasing awareness at any level is meaningful with respect to academic impostor phenomenon, because almost all of us experience it, and unfortunately, many of us experience it in isolation. So the more aware we are of the shared experience of self doubt, even in the face of high levels of achievement, I think the better equipped we’ll be to navigate our own educational and professional journeys in an informed way, in a way that will help us to maximize our true potential and pursue our passion and interest. I just really appreciate an opportunity to share some of this information, to have this dialog and this discussion. It really is my passion, in particular, to support students and to support psych majors in STEM related courses. So, thank you.

Rebecca: Thank you so much.

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

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

John: Editing assistance provided by Fred Llerena.

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435. Insights From The Field

This podcast is a recording of a panel session featuring three online learning leaders, that was presented at the SUNY Online Learning Summit on Wednesday, February 25, 2026. The panelists are Yakut Gazi, Marina Amini, and Van Davis. Yakut is the Vice Provost for Learning Innovation and Digital Education at Duke University. Marina is the Executive Director of the California Virtual Campus, and Van is the Executive Director of WCET and the Vice President of Digital Learning at WICHE.

Show Notes

Transcript

John: Today’s Tea for Teaching podcast is a recording of a panel session, featuring three online learning leaders, that was presented at the SUNY Online Learning Summit on Wednesday, February 25, 2026.

[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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John: Welcome to: “Insights from the Field,” a special Tea for Teaching podcast on policy, data, and inclusive collaboration. I’m John Kane, an economist and the director of the Center for Excellence in Learning and Teaching at the State University of New York at Oswego.

Rebecca: I’m Rebecca Mushtare, a designer and the Deputy Dean of Graduate Studies at SUNY Oswego. We’re the hosts of the Tea for Teaching podcast and the moderators for this session. Our guests today are Yakut Gazi, Marina Amini, and Van Davis. Yakut is the Vice Provost for Learning Innovation and Digital Education at Duke University. Marina is the Executive Director of the California Virtual Campus, and Van is the Executive Director of WCET and the Vice President of Digital Learning at WICHE. Welcome Yakut, Marina, and Van.

John: Today’s teas are: …and we’ll start with Yakut.

Yakut: So I’m Turkish originally, and Turkish tea is the big thing. We always have Turkish tea brewing in our houses. So that’s my tea.

John: Very good. And Marina?

Marina: And I’m from Afghanistan originally, so I’m drinking green tea with cardamom.

John: Excellent. And Van?

Van: Well, I’ve already switched over to water today, but my favorite tea is lapsang souchong. I love a nice smoked tea.

John: I do too. I have to keep it separate from my others so they don’t all become smoked flavored tea, but it’s a very nice flavor. And Rebecca?

Rebecca: I have a Pekoe tea, Edinburgh’s Gin Tea and Roses today.

John: And in honor of this recording time in January in upstate New York, I am drinking a spring cherry green tea, [LAUGHTER]…looking forward to somewhat warmer and less snowy weather. So we’ve invited you here today to discuss the future of online education. We’ve seen rapid proliferation and evolution in generative AI platforms since they were publicly introduced just a little over three years ago, leading to concerns about the integrity of online assessments, especially recently given the development and use of AI agents. How should online learning leaders address the risks that this poses to the perceived value of online courses and degrees?

Rebecca: Yakut?

Yakut: It is true that advances in AI created risk for the way traditional education is delivered, and also assessed. The concern about AI undermining validity isn’t unique to online education, though, it affects all of higher education. If you remember, COVID has created a pedagogical emergency. Generative AI created a new one, but I’m not sure if you’re treating it the way it needs to be treated like we treated in the COVID period as an emergency. Online learners, I think, may be actually better positioned to respond, because we have already been engaging in academic innovation and advocating for active learning and authentic assessment for many years. So this may be an opportunity to implement better approaches in a full-scale manner, where the focus becomes the process of learning rather than the product of learning, because that now can be created through the use of AI, and it’s actually being done in all of our classrooms, whether or not we like it. So we, as the learning leaders, need to push the conversation from preventing AI use to designing learning experiences where the use of AI is transparent, ethical, and skill building. So this means creating policies that allow for AI use, like when and how, rather than ban AI use, and also focusing on authentic assessments, project-based work, reflective practice, collaboration, things that AI can support but cannot replace. But I think the challenge is not necessarily modality, like online as a modality is a challenge. We know how to do these things. The challenge is doing these pedagogically sound things at scale. In my mind, this is a moment that poses a risk for online education at scale, more than online education broadly. But then for us to implement this approach where focus is not on the outcomes but the process, we have to work with employers, we have to be able to articulate our competencies to employers that AI is not a threat to credibility, it’s the part of our formula in higher education and how we how we train people. For example, imagine every course in our institutions have an opportunity for hands-on authentic learning, where at the end there is a skill that’s visible to future employers. There are 8.2 million learners in higher education who wants an internship, but only 3.6 million of those get one. There’s a huge gap already, so hands-on internship opportunities during our course of higher education should not be for those who want it, or it should not be postponed to last year of education. It should be an integrated part of the equation. These are, to me, pedagogically possible, but the challenge is to be able to figure out the logistics and systems to do this at scale.

Marina: So we are talking a little bit about the word academic integrity. You know that really resonated from your description, John, and I’m from the California Virtual Campus, which represents the California Community Colleges. We’re 116 colleges serving about 2.2 million students, and this is an issue that we’ve been grappling with around academic integrity, especially with agentic AI. And just to kind of put it in perspective of what do we mean by agentic AI? Because I think it could have a couple of different definitions. When I’m talking about agentic AI, I’m talking about these autonomous agents that can go and log on into an LMS, a learning management system on behalf of a student, scan for assessments or assignments or discussion posts to complete them and submit them on behalf of the student within seconds. And we already have analytics in our learning management system that indicate that a student can go in, and has gone in, because we have the data and completed a 50-item quiz, short answer quiz, not multiple choice, and submitted it within about four seconds, so we know that the student is not searching for these as prompts on like ChatGPT, because that would actually involve some interactivity with the student. They’re actually having an agent go in and submit it on behalf of themselves. That’s a very big concern that we take very, very seriously. Obviously, the consequence is that our degrees and our programs and our transcripts will lose its value and that they will become meaningless. And so I think it’s similar in the case of being like other crises, like COVID 19, for example, but it’s also uniquely alarming in kind of the destruction that it can have on the value of our grades and our courses and our programs. And the question of, “How do we address the concern?” I think we do handle it in the way that we handle these other risks. We have to be deeply engaging with our faculty. We have to pull together our technology partners. And I think a mistake or a pitfall of this can be if technology says, “Well, the solution lies only in faculty changing the way they assess, adopting project-based learning or authentic assessments.” And if faculty turn around and say, “Well, the problem can only be solved technically if we create some kind of barrier or blocker for these agentic browsers.” And I think those are both equally flawed in terms of its approach, because we’re expecting the answer or the solution to be around the silver bullet, when in actuality, I think the solution lies in a deep partnership where we sit down with each other, with our partners, we look at both programmatic and technical solutions to making sure that the academic integrity of our institutions remains intact.

Rebecca: AI enables more efficient adaptive learning and provides increasingly personalized pathways in support of student success. How do we strike a balance between personalized learning and the formation of human connections essential to creating a sense of belonging? You want to start, Van?

Van: Sure. So this year marks my 30th anniversary of being in higher education, and I started my career as a faculty member, I spent a decade in the classroom as a history professor. And one of the things that I learned very quickly during that time is whether I wanted to or not, you end up teaching to the middle. You run the risk of losing the students that are ahead. You run the risk of losing the students that, for whatever reason, are behind. As much as I wanted to personalize learning, I couldn’t do that, at least not at scale. I think that AI does give us the opportunity eventually to be able to personalize at scale. That does not mean that the human piece loses out. In fact, that human piece, I think, becomes even more critical. We know that relationships matter. We know that, beyond a shadow of a doubt, a student can succeed when they have a relationship with somebody on that campus, ideally, their professor. I’m a big fan of Parker Palmer’s work, and specifically, I’m a really big fan of To Know As We Are Known. And if you’re familiar with it, Palmer talks about relational epistemology, which is really just a fancy way of saying that, at the end of the day, what matters is a faculty member’s ability to create a relation with a student, and for students to create relations with each other, and that is the moment at which learning takes place, not the transmission of knowledge, but real learning takes place in the midst of those relationships, and a skilled faculty member turns the classroom into an opportunity to develop relationships and for people to co-create knowledge together. I don’t think AI changes our ability to do that. I don’t think it takes away our ability to do that. I think what AI may be able to do is to take some of the burden off of faculty when it comes to trying to personalize learning, so that faculty can focus on what a human does best and what faculty do best. And that’s the creation of relationships, and that’s where I think the true learning takes place. And I have to say, when I was a faculty member, that was the piece that excited me the most, and probably the piece that, unfortunately, I got to do the least.

Yakut: If I can jump in here, plus one to everything Van said, I mean, so insightful, and I’m not going to repeat because that’s exactly where I was going. But one thing that, when I was listening to you Van, I was reminded of the statistics. Khan Academy’s, Khanmigo, last year, they published their self-efficacy study results within the school districts that they worked with. If you’re familiar, Khanmigo is basically personalized learning using AI. Within the school districts that they worked with, where the tool was available to all teachers and all students at no cost, only 9% of students, 0, it’s not 19%, it’s not 90%. 9% of students used the tool to the level that Kahn Academy deemed standard use, which is two hours a week. So where I’m going with this is provision of the technology, provision of the platform or the tool, does not necessarily lead to the opportunity to learn. So we think these technologies are going to make these available for everybody, which they will, but then there is still a missing piece that makes the student use the technology to learn, and that’s, I think, the inspiration to learn, and that’s the human thing. So as Van mentioned, it takes a faculty member or a parent or an uncle somewhere to inspire people to do something. So if we relieve people of the busy work that takes place to prepare for teaching, or actual teaching in the classroom, we may give them time to actually do this human element of inspiring to learn. And I think the two are hand in hand.

Rebecca: So Marina was kind of hinting at some of the data that’s available in our LMSs. And one thing that online learning leaders increasingly rely on is this use of data analytics, based on institutional and LMS data, which provides more information on student learning practice. AI tools allow for more efficient analysis of this data. So how can this data be leveraged to improve the online learning ecosystem? This could be faculty workload, course offerings, student engagement, and anything else that you can imagine.

Yakut: There are a few things I can mention. First, predictive analytics for early intervention, identifying student interest much earlier, not just those who are failing, but those disengaging. And there was an example about this earlier, struggling with specific concepts and provide targeted support before they fall behind. We have been pursuing these kinds of systems for a long time. I have 32 years in this profession now, and probably half of it was all about predictive analytics. The challenge has been the siloed nature of our data systems at our institutions that create only a partial picture of student success, unless you invest in data lakes, integrated data solutions and whatnot. And then there’s also the governance issue around data. AI can create a leapfrogging effect here. An ability to do this predictive work can also reduce faculty workload. This way, the human is in the loop and is the one doing the empathetic work and empathetic outreach, asking, rather than finding out who needs this kind of outreach, doing the work of outreach, saying, “Are you okay?” Apparently it’s one of the most powerful things you can reach out to students about, are you okay? The heavy lifting is done elsewhere, and then we become more human. Another example could be curriculum optimization. By analyzing patterns across courses, we can identify where students consistently struggle, what courses are synergetic to take together, for example, what courses are toxic to take together and then provide information to both faculty and students around those. Where are the gaps that exist in our program pathways? So if there are skills that are needed, and then that analysis of curriculum and skills matching can be done by AI, and then this can impact our course redesign and sequencing decisions. And also our institutions can allocate resources a little bit more effectively. Analytics can help us understand the actual demand patterns, optimal cohort sizes. We usually say, “Oh, 30 students,” but then we don’t really base it on I mean, it’s a habit that’s telling us about the cohort size to be. It may be classroom size. We can actually do deeper analyses, especially when we’re facing enrollment pressures and financial pressures. But I have to also emphasize two things here. One, this data should inform our decisions, so it’s data-informed decisions, not even data driven, because sometimes we may have to make decisions that go against data, it can be political, it can be governance reasons. We need governance structures that will take this data and generate insights from it, and then transparent communications with students about how their data is used. And this is crucially important. We need to democratize this data and allow students to have access to it, along with institutional access or faculty access. So transparency, ethical use, shared governance around analytics are very important as we become more excited about AI’s potentials in this analytics stage.

Marina: I love all of those things around predictive analytics, early intervention, and then optimization as well. So I’ll just try to add to that conversation a little bit. I’m really interested in how we’re serving our students in online modalities, and who it is that’s succeeding in those courses, because I think we know that traditional education has served a certain group and demographic and gender over time, and only in recent years are we sort of aware of some of the biases in the design of our curriculum and our courses that serve certain people, and how can we analyze our data more efficiently to address what exactly is it that we’re doing that’s helping some students fail and helping some students succeed? And I’m saying that intentionally, because I think we are agents of that success and failure in many ways, as our institutions are structured, and so I’m very interested in sort of decolonizing online education through the use of data analytics and institutional research is notoriously slow. You have to wait a year to get your IR office to work on some data set. It’s a lot of intensive, hard work, and then a year later, you get this sort of lagging indicator of, like, well, like two years ago, this was the thing, and it’s not even relevant now, or things have changed. So I’m excited that AI and data visualization and optimization can allow us to have this in a more timely manner, like just-in-time data. It can help faculty to realize how their own strategies are impacting certain students, well or not well, and then make those changes immediately. If I have an AI coach in my class and it’s telling me that they have identified, I have six African American students, but one of my strategies is unintentionally impacting them in a negative manner, I want to know that now. I want to know what it is that I’m doing in a private message from my AI assistant, [LAUGHTER] and I want to rectify that and immediately change. So that’s the kind of agility that we currently lack in education and in research that I’m very, very excited about: bringing in AI to help with that sort of private, supportive coaching done in the privacy of my own course from a desire to want to improve and serve all of my students.

John: Now, you’ve talked a little bit about some of the benefits, or some of the cost first, and now some of the potential benefits that we have from using AI. How do you see online learning changing in response to AI? And we’ll start with Marina.

Marina: Yeah, so I just want to say it’s really hard to follow up with all the positive, I think benefits that AI can bring that Van and Yakut have brought up, and I 100% agree with those. So I don’t always want to be the downer [LAUGHTER] in this podcast, but if I had a crystal ball and kind of playing on the previous question that you asked, John, around academic integrity, assuming that that is a problem that we’re not going to be able to immediately solve, either programmatically or technically, one of the concerns that I have is that it will affect a specific kind of online learning, which would be fully asynchronous online courses. The ones where they don’t have any set live meetings, I think people will be most critical of those kind of modalities. And so if I have a crystal ball to look at, I suspect that we’ll be bringing back more hybrid forms of online education to replace more asynchronous forms, because of the concern around academic integrity. That’s my crystal ball. What does that mean? Well, it could mean that hybrid, maybe half the courses meetings will be in person, half online, or it could be that there’ll be more proctored assessment, either online proctoring solutions with some of the main vendors that you may have heard of, or in person. So we would need some kind of proctoring network, or some way to address that concern. So I think as a stop gap measure until we kind of come to terms with the academic integrity piece, I see some of that changing. That being said, I do want to sort of add to the good elements that you know Van and Yakut are bringing up, because I think AI can help humans be more human in some ways. I have not been in the classroom for a number of years, but I did teach online for a long time, and I would love to go into my learning management system, and my AI assistant pops up and says, “Hey, Johnny has not interacted with you or any other students for eight days. You might want to check on him to make sure he’s engaged.” Or my assistant tells me, “Hey, you interacted with these 10 students in the discussions this week. You might want to answer posts from these 10 on the public posts” and things like that that help me to be more human, that help me to be more equitable in terms of how I interface and touch my students online, I think that could be a really amazing use of AI, and I don’t think we’ve really realized the true potential of that.

Van: And if I could jump in, I agree with everything that Marina said. My fear, though, is exactly what her crystal ball says, and that is that asynchronous, online education may become more difficult, or will face additional scrutiny, because we already know that we’re highly scrutinized, but we also know that online, asynchronous education plays a critical role in access for a certain student population, and I would hate to see those students, particularly adult learners, or learners who are working or have caregiving responsibilities, lose those opportunities. I think that the main thing that AI is going to do for online education is, I do think it’s going to force us to rethink our pedagogical practices. And I think that we are probably going to need to think about, how do we do alternative forms of assessment, and how do we move from assessing knowledge to assessing abilities and skills. I said that I started my career as a historian. When I took my PhD history exams back in the 1990s so back in the last century. When I took those exams, I sat in my office with my laptop and had no ability to consult any sort of document. It was purely from memory. It was eight hours of answering questions from memory. The reality is, though, that whenever I got into a classroom to teach, I never created a lecture, I never created an assignment, I never created a test without pulling a textbook down or pulling some sort of reference manual down and looking at it. What I did in terms of my teaching was completely disconnected with the way that my graduate program, which came from an R1 institution, assessed me. And so I do think that one of the things I hope AI is going to push us to do is to really rethink our assessment practices so that they are more in line with the reality of our students after they leave our classrooms. And that’s not unique to online education. I think that that type of shift in pedagogical practices really needs to happen across the board if we want our students to truly be prepared for the world that they’re going into after they leave us.

Yakut: Can I quickly add two things that we’re seeing actually happening in terms of change in online, and that’s in the design process. Those of you who are designing online courses will know that one of the first friction points is when we ask faculty to write learning objectives, because they’re not used to thinking about the end in mind, right? They’re used to thinking about, “This is the content I’m going to teach.” So that friction is reduced by use of AI, because you’re easily creating a set of objectives, reiterating from that. And then the other aspect is video production process. You can now ask a faculty member to say something for three minutes, and then you can make that faculty member say anything in any language. Now it may look fake, but it’s going to get better, right? So the video production process and instructional design process are immediately impacted by the use of AI, and it’s going to impact those professions, so we need to do something about it, but I think it’s making our institutions a little bit more agile in terms of updating courses, but also creating new courses based on the input from the market. I also see in larger, better adoption of open source content, because open OERs are problematic because faculty do not have the time to go and research, curate, adopt OERs. AI is proving useful in that process too, going and researching and bringing you things to review and curate. So I think there are immediate gains there as well.

John: Moving to a somewhat different topic, federal regulations and political shifts, of which we’ve seen an awful lot in the last year or so, can create uncertainty. And we’ve seen a flurry of executive orders designed to dismantle long established higher ed priorities concerning equitable and inclusive education, while also restricting financial support. What advice do you have for leaders trying to stay agile and innovative in this evolving and somewhat seemingly random political environment while maintaining compliance with federal regulations in areas such as accessibility and SARA and any other area that may pop up?

Van: Well, if you don’t mind, I’ll start. Given what we do at WCET, if you’re familiar with WCET, we really function at the intersection of policy and practice of digital learning, and we spend a lot of time monitoring what’s going on, particularly in Washington D.C., at the federal level, at the Department of Education, and increasingly in the executive Oval Office, and translating that to the field, in terms of what that means. It’s not lost on me that before I joined the webinar this afternoon, I was watching several of my colleagues respond in real time to the negotiated rule making that’s taking place in Washington DC right now around things like accountability measures, new accountability measures around student loan limits. So it really is a dynamic environment that we’re in. I think that there are ways that AI can help us navigate this, actually. So, one of the things that I played around with, I spoke to a group of SARA administrators, that’s the State Authorization Reciprocity Agreement. I spoke to a group of SARA administrators this summer at their annual meeting, specifically about AI. And one of the things that I played around with was taking the SARA policy manual, pointing Perplexity to that manual, and then asking it specifically to create a synthesis of the regulations in that manual, and then asking it to go out and pull out the contact information for each state SPE that’s the State portal entity, that’s the primary SARA person in each state, and to provide me with a table of who those individuals were and what their contact information was. This is something that it would take somebody hours, if not days, to do, I got this back in two minutes. So I do think that there are ways that AI can be used to help us navigate the policy landscape more quickly than what we have been able to do in the past, and to democratize that so that everyone has the ability now to understand these regulations, rather than just a few people at each campus. We are going to have to remain vigilant. We are going to have to make sure that we follow what is happening, particularly in Washington D.C. I will tell you that this Department of Education is very bullish on AI. They are particularly interested in finding ways that it can be used in the educational process. Having said that, they have done very little, though, in providing regulatory guidance. So, my advice is to monitor, to lean on organizations like WCET that are monitoring this for you, to not be afraid to experiment with it. And then I would say this, regardless of the technology: start small and fail, and learn from your failures, and don’t be afraid to fail. And I think that that last piece is really critical, it’s critical with any technology, but I think it’s especially critical with AI, because the only way we’re going to be able to figure out how to best leverage this is if we experiment with it, and if we experiment with it, we have to accept the fact that we’re going to fail sometimes, and we can learn from those failures. That’s scary in higher education, we’re taught not to fail in higher education, and I think that we’re going to have to shift our mindset so that we really are embracing a growth mindset, to borrow Carol Dweck’s framework, if we’re going to be able to remain agile, but also be very innovative, and leverage AI to the ability that we are able to.

Yakut: So Van has been doing this for such a long time, I don’t know if I can add anything except for a plus one to everything that he said. Maybe one thing that I can add is agility does not mean reacting to every political signal. Staying grounded in institutional values and your personal values, and then building flexible implementation strategies. So our commitment to accessible, inclusive, high quality education, and student success doesn’t change how we articulate and implement that work may shift because of what’s happening around us, and the importance of being connected to networks like WCET, UPCEA and learning from these state compacts and peer networks is extremely invaluable. There may be institutions out there without enough resources to allow their people to be connected to those networks. So maybe this is the time to urge these professional networks to be a little bit more lenient and allow, for example, I’m just making this up, I just thought of this while I was listening to Van, what would it be like if professional organizations allowed 5% of an institution’s size to be peers like gift memberships? So the institution X, a regional university, may not have the resources to become a member, but it is so important for all of us to be successful at this point in time. Maybe, you know, my institution can gift a 5% of our size to that institution, so like sister institution kind of thing. And very important to document your decision-making processes at your institution, how you’re interpreting regulations, documented, so that you have both accessibility to that information but also accountability. It protects your institution. It demonstrates good faith effort and legal counsel and government relations are your friends in this uncertain political environment, and proactive communication with them is very important.

Rebecca: In states with multiple public colleges such as the SUNY system, each campus is, to some extent, competing with other campuses in offering online degrees. What mix of cooperation and competition is optimal in such environments?

Marina: I can talk a little bit about the California Virtual Campus because the California Community Colleges are very similar to SUNY in terms of just being a big ship to steer. A lot of you know, local decisions, some centralization, and people are always, I think, generally speaking, a little bit threatened by the centralized stuff. When the California Virtual Campus first rolled out, gosh, 10 plus years ago, and we talked about course sharing, there was immediately sort of concerns around, “Are we going to be cannibalizing our enrollment?” We love the word cannibalizing, I don’t know why in education [LAUGHTER], but immediately it’s like, “oh my god, we’re going to lose enrollment. This is going to be terrible for us. The Big Brother is going to take over our curriculum and tell us what to do.” There’s all of these anxieties that come out from administrators, from faculty, from different leaders, and so I think to put that in a different perspective, has been really hard, because you’re fighting against that cultural anxiety that we have around being an independent institution. So when do you hear and when are you independent? What I’ve tried to do with the CBC and our system is to have some very honest conversations around “what exactly is your concern? Is that concern an institution centered concern, or an enrollment concern, or a funding concern, and how does that then relate to your learners?” Really shifting the conversation from, “we’re worried about how we do things to what’s the best-case scenario for our students? Do they have the options that they need? Do they have the access that we need? Are we really leveraging our collective power in a way that benefits the learners in the most compelling and powerful way?” That’s sort of the question that I’ve had to ask, and it took about 10 years [LAUGHTER] for California Community Colleges to get on board with course sharing, and now it’s a big success. We share professional development, we’re sharing financial aid, we’re sharing transcripts, things that people have held on to so closely, of like, “No, this is our school. This is our university.” And I think this idea is very outdated now, thankfully. And the future really is less institutions, especially smaller institutions, rural, under-resourced institutions trying to be everything for their students, trying to give them every class that they need for every program, and meeting every need. That’s exhausting, and what we’re finding is courses are being discontinued, faculty are, in some cases, unfortunately, losing their work, especially part-time faculty and adjunct faculty, programs are being discontinued, and in some cases, entire institutions are being shut down and absorbed by other institutions, or just not being absorbed at all. And so to avoid this, I think, unfortunate, outdated approach, we have to pull together, we have to pool our resources, and we have to put aside our institutional egos and really realize that there’s a lot of strength in our collective power and when we come together. I can give some examples later but one thing that we’re doing in the California Community Colleges, which is really exciting, is several of our rural colleges, which, again are tiny, they don’t have a lot of staff, they don’t have a lot of programs or money. They’re pulling together to create fully online associate degrees. So by themselves, they would never be able to meet all the requirements to offer those degrees online, but collectively they are, so it’s benefiting their programs, they’re able to grow their enrollment, and it’s benefiting a large swath of their students as well. So that’s the kind of thing that I think doesn’t have to be competitive, but they can actually be mutually beneficial for students and institutions.

Van: So you know, the “C” in WCET stands for cooperative. We’re the WICHE Cooperative for Educational Technology. So we take this idea of collaboration and cooperation really seriously. And I think just plus one to everything that Marina said, it’s always hard to follow Marina whenever I’m on a panel. I think that course sharing was a great example. It’s also oftentimes a really scary example for faculty, especially. What I wish that I would hear more about is the way in which institutions begin to share administrative burden. And I think that maybe, if there’s a thin end of the wedge that can maybe help an institution eventually get to that course sharing, It’s to have that conversation about, “Are there administrative functions that can be done better collectively than individually? And what are those?” And maybe the easiest thing to do to start with is an arrangement where you are jointly purchasing services. We know that folks are able to get better deals whenever they go in with multiple institutions than whenever they go in with individual institutions. At an earlier point in my career, I was in charge of online education in the state of Texas, and the legislature asked me to determine what each institution in the state of Texas was paying for its learning management system, and I learned very quickly that A) I didn’t have access to that information because there were non-disclosure agreements, and B) there were non-disclosure agreements because what institutions were paying for the same learning management system were vastly different. And so I do think that one of the things that institutions can immediately do, that isn’t scary, is to create those purchasing co-ops and to look at what administrative functions can you share. And then, by all means, move as fast as you can towards course sharing, because I think that Marina is absolutely right when we think about what is in the best interest of our learners, course sharing is oftentimes in the best interest of our learners. It gives them access to a larger number of classes, it gives them access to a larger number of opportunities to progress in their academic career and move towards that credential that they’re seeking, and it allows institutions to specialize. As a recovering historian, as much as I would love to see every institution offer a history major, the reality is every institution probably doesn’t need to offer an online history major. So think about what is it that your institution can do that is unique to you, that you can double down on and do well, and then begin to share that with other people and with other institutions. And I think that will help us greatly in terms of being able to really move towards what our learners need, rather than just what’s going to be in benefit of us. And the last thing I would say is not only think about, are there programs you can specialize in, but think about, are there student populations that you can specialize in? You know, maybe you have an institution that is particularly good working with English language learners. Not every institution is going to have that level of expertise. And so maybe think as well about, in addition to the programs that you may have some specialization in, are there learner populations that you know that you are doing a good job of meeting their needs, and you can help other institutions do that as well.

John: Institutions vary quite a bit in terms of their size, their funding, how well established online programs are. What strategies can leaders at small or resource-constrained colleges use to develop sustainable online learning practices despite often limited staffing and infrastructure, or in environments where faculty are experiencing burnout or there’s some form of organizational resistance to change?

Yakut: Well let me jump in, and I think there are quite a few parallels between this question and the previous question that was asked. 15 years ago, I was at a regional university in Texas, and in fact, I know Van from those days. In a matter of three years, this was a new institution, we rolled out 13 online programs. It was amazing. There were not a lot of resources, brand new university, faculty resources are scarce. I was a team of one. So fast forward to today. This would not be possible. One, the market is so saturated with degrees, you don’t have the competitive advantage anymore. And two, the resources are even reduced compared to 15 years ago. So in places where resource-constrained or smaller institutions, sustainability of effort comes from focus. So, not trying to do everything like, “Oh, let’s just roll out an online program for every single program that we offer,” but intently looking at the market need and connection to jobs, starting with that community where the institution exists, but a little broader too. So those small number of programs that clearly advance this mission and student access, then invest deeply in quality faculty support, instructional design, quality is by itself, a whole entire conversation, I think. And then faculty burnout. It’s real. And many times when faculty resist online, we take it personally. We don’t like it. But then it’s just exhaustion rather than real opposition. Transparent communication, realistic timelines, recognizing that this is instructional labor, this is on top of everything else that we’re asking from you, and then supporting that instructional labor in a respectful way goes a long way in helping faculty burnout. Sometimes, the most strategic move is to slow down and build that trust and capacity within the institution, because let’s face it, in institutions like that, you’re going to rely heavily on faculty time and faculty effort to design and develop those courses, compared to larger institutions where there are large teams of instructional designers or video producers that are going to do the heavy lifting for your faculty. Again, tying to the previous conversation, shared tech services, vendor collaborations, a lot of these institutions can punch above their weight and without overextending people, so that those kinds of strategies should be part of it. And finally, I want to tie this conversation to the AI conversation. Many universities have responded by signing big enterprise deals with AI companies. And they paid a lot of money for this, and they wanted to achieve equitable access for their own communities, they wanted all their students to have access, all their faculty to have access. But this results in us treating AI as a competitive advantage, where we should start seeing it as a collective challenge. So we should be forming system-wide and cross-institutional partnerships when it comes to AI deals as well. These partnerships can be between universities, between universities and community colleges, sister campuses like sister cities, so that we raise all boats and ensure equitable access for everybody. There is room for all of us to be successful, and our actions should complement that belief. And we need to bring faculty into these decisions, because the moment you announce a deal, AI deal, that will allow everybody to have access to AI, it may be interpreted as a blanket permission for unrestricted AI use in every course, which is not the case at many of our institutions. So faculty’s presence at these tables is very important.

Marina: Yeah, I just want to say amen to Yakut’s point about faculty burnout and kind of respecting the time and the expertise that they bring to the table. Our faculty also have, at many of our institutions, expressed burnout, and so anything we do is really thought around that concern. In terms of AI, if we want to foster leadership amongst the ranks of our faculty, we actually created an AI fellowship, and we selected a couple dozen AI fellows from the system to lead some really important work. And they’re being compensated with reassigned time or stipends in some cases, to do that work, in addition to some staff members, classified staff members as well, because they often, you know, occupy the gray space that we forget about, that support faculty and instruction too. So that’s very important. I think about a parallel to online learning, and actually it’s an important parallel with open educational resources. In my previous role as a dean at one of the community colleges in our state, we wanted to grow open OER, but it was the same thing. Faculty were like, “In order to change my textbook to an OER, it’s gonna take so much work and effort, and I have to change all my tests and all my prompts and all of this.” So we started giving very small stipends. I think at the time, it was like $500 for faculty to adopt OER. And I did an analysis of this over time… I wish I had AI to do that, but I had to do this [LAUGHTER] myself… but essentially, we saved students something like five million dollars within the first couple of years that it was being adopted, and we spent, I think like 200k during that same period of time. So doing the data on the return on investment for supporting faculty, it’s going to be tremendous to kind of ensure that they’re not burnt out, that they have time, and they have the space mentally to do the work that we need them to do. So that would be one key thing. And I think OER, what we’re finding, and what we found in our institution is as well, that there are higher outcomes in terms of success rates and grades in online courses when an OER is used in that course than in the same course with a physical textbook that students had to purchase. So those are kind of connected. And then just to kind of go back to course sharing, I can always count on Van to be my greatest ally with course sharing, but we have colleges that were very reluctant to get involved in course sharing, as I mentioned. When I joined the CVC four years ago, we had something like 2,000 enrollments on course sharing and 2,000 enrollments for a system of our size is not that great. We’d joke that most of it’s our staff trying to see if it works. This year we’re going to have more than 50,000 enrollments. So within four years we went from 2,000 to 50,000. I think we’re going to double and triple that in years to come, because we finally gain momentum and trust and involvement and engagement. Of those 50,000, you look at the numbers, some rural colleges are making out like bandits. They’ve gained 1000s of enrollments through course sharing, by putting their courses on our course sharing platform, and benefiting from it tremendously, and gaining enrollments that they would never be able to get from their local zip code because of their rural environment and so forth. So, it’s a win-win proposition, it doesn’t add any extra work. We let them fill their classes locally with their local registrants, meaning they’re returning students, their athletes, their disabled students, and so forth. And then any courses that are not filled, we pull them into our platform, and they’re open for anybody in the state to take. It’s a very simple formula that, again, has really netted 1000s of enrollments for these small rural colleges, brought in funding, brought in additional resources for their burnt out faculty and their staff and their infrastructure. So I think my suggestion for strategy is find those formulas that are win-win propositions. It doesn’t need to be something where one person loses, another person wins in order to get the involvement, there are ways for everybody to win, and that’s, I think, an exciting opportunity for us.

Rebecca: We always end by asking: what’s next? Start with Van?

Van: Sure. So ironically, I just finished writing a blog post for WC Frontiers on this, this morning. I don’t have a crystal ball. I do have a magic eight ball, though, if you remember those. My predecessor gifted me one to help me navigate the challenging federal policy environment. So I have my trusty magic eight ball. I think there’s six things to look for in 2026. I think the first thing is we need to remember that the connection to workforce education is everyone’s responsibility. It’s not just a few faculty members’ responsibility. This is particularly important with the move to Workforce Pell, but it’s important as we see a workforce increasingly asking for graduates that are AI literate. And I think that AI literacies is everyone’s responsibility. Two is AI literacies. I think that we need to desperately change the narrative from just focusing on academic integrity to beginning to focus on AI literacies and you’ll notice that I use the plural there, because I don’t think it’s black and white. I don’t think it’s you know or not know. I think that it’s a spectrum of issues that faculty and students and staff need to have mastery of. Three, and this really ties to what Marina was just talking about, we need to get creative economically. Like I said, I’m a historian by training. That means that I tend to run towards the pessimistic side, because I know just how bad things can get sometimes, and I am afraid that we’re looking at a very challenging economic environment on the federal level, and that’s going to trickle down to the state level, especially for our public institutions. So I do think that we’re going to have to get creative economically. We’re going to have to do things like think about course sharing, like thinking about purchasing consortiums, changing our business model in higher education and in digital learning. I think that that means that one way that we can do that is to lean into those post-traditional learners. There are 43.1 million Americans who started college and did not get a credential. That is a travesty. We should not have 43.1 million people that stopped out. That tells me that, first of all, we’re not doing right by those folks, but it also means that there are 43.1 million people that we can get back into higher education if we try, and we won’t get all of them back. But we need to think about how do we offer programs that attract those adult learners and keep them. What did we do wrong the first time around to make them stop out? It’s not all an institution’s fault. Adult learners have a number of challenges that they’re juggling, but are there ways that we can attract them back into our classes, and that we can make sure that we provide them with the supports that they need in order to stay and be successful? I don’t think we can lose sight on accessibility in 2026. It is not just the right thing to do ethically, it’s going to be the right thing to do legally, with the Title II regulations that go into effect at the end of April. And the upshot of those five things is that digital learning is going to be more important than it has ever been before. And that means that your job as digital learning leaders, your role on your campus, your role in the SUNY system, is going to be more critical than it has ever been before. And so I think that that’s what we have to look forward to and the upshot of it is that, at the end of the day, what you do as a digital learning leader matters and is going to be more important than it has ever been before, more important than it even probably was during the COVID-19 pandemic. So that’s what the magic eight ball over in my WCET office says.

Yakut: Now, how do I follow this? I mean, you covered everything, Van. I was actually going to start with the same sentiment, online education sits at the center of all the challenges higher education is facing, and the work ahead of us is to leverage its pedagogical power, its ability to expand access to affordability, and its ability to amplify our institutions’ impact. You covered a lot of things. There is one thing that I would like to just append to what you said. I want to point out that we in higher education often forget that we are not just educators. We’re also employers. In many cases, we are one of the largest employers in our communities. And many campuses, many of our institutions still lack a coherent AI upskilling plan for our own workforce. We have tons of projects facing transfer efficiency across our institutions, productivity, but then we don’t really have, in many cases, a plan to help our own people adapt. A Brookings Report from, now, a year and a half ago, estimated 19 million US jobs that are significantly affected by AI. And many of those roles exist right on our campuses. Many of our employees hold jobs at risk of automation, such as legal analysis, paralegal, administrative assistance, accounting, communications, we just talked about instructional design and production. These job categories are, drumroll, they are populated by women. You know, we identify these areas of risk, but we don’t really come up, at least in higher education, strategies to address those. We must understand that there is a differential impact of AI on our workforce. These jobs that I listed are stable middle class professions. They are pathways for upward mobility for a lot of families. So we have to ask this year and beyond, what happens to our societies when women or any subgroup begin to disappear from the workforce as a result of AI, and what are we doing to stop that from happening? Thank you.

Marina: It’s unfair to go after Yakut and Van, but I just want to really say I appreciate that Yakut points to our own employees and our own communities, and starting at home, I think that’s something that’s an important reminder for me myself. If I could just leave with three additional things to summarize some of our conversations from today, I would say, you know, number one is a reckoning when it comes to AI in higher ed. There is a reckoning for specifically, as I mentioned, asynchronous fully online courses, and how we’re going to manage that, and the long game of changing the way we teach and the way we assess our students and the use of outcomes in our courses. So I think this is going to be the next big thing for us to tackle. The second and this is something Van has spoken to about extensively, is a move toward thoughtfully shared resources. In our system, we pay for the common LMS. We pay for and negotiate common ed tech vendor contract tracks as well, course sharing, as I mentioned. So there’s going to be more and more a move toward this, especially in light of federal funding issues that colleges are experiencing. And the final piece of it that’s actually really near and dear to me, is a revisiting of old norms and ways of doing things. The way we handle our transcripts, for example, is… I’ve spoken about this in other venues… highly inequitable. The way we handle our financial aid, that can be very hit or miss depending on what institution a student goes to. The way students have access to courses, our levels of accessibility, the way we gather analytics and research, which I think AI will dramatically transform. Institutional research is going to greatly change in the next couple of years. I think these are going to be really exciting “what’s next” as well for higher ed.

Rebecca: Well, thank you so much for joining us. We appreciated the conversation and the many things to be thinking about as we trudge down 2026.

John: Yes, thank you.

Yakut: Thank you for having 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.

John: Editing Assistance provided by Madison Lee.

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434. TUnE Bio

Students planning to major in STEM fields, especially students from groups historically underrepresented in these fields, are often deterred by their experiences in introductory courses. In this episode, Sarah Rose Cavanagh joins us to discuss an NSF-funded initiative designed to enhance student success in introductory Biology classes.

Sarah is a psychologist and the author of four books related to teaching and learning. She is the senior associate director for teaching and learning and associate professor of practice at Simmons University and also is a regular contributor to The Chronicle and many other publications. Sarah often serves as a keynote speaker and we were very fortunate to have her join us for a keynote address at a recent Academic Affairs Retreat on our  campus.

Show Notes

Transcript

John: Students planning to major in STEM fields, especially students from groups historically underrepresented in these fields, are often deterred by their experiences in introductory courses. In this episode, we explore an NSF-funded initiative designed to enhance student success in introductory Biology classes.

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

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

John: …and Rebecca Mushtare, a graphic designer…

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

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John: Our guest today is Sarah Rose Cavanagh. Sarah is a psychologist and the author of four books related to teaching and learning. She is the senior associate director for teaching and learning and associate professor of practice at Simmons University and also is a regular contributor to The Chronicle and many other publications. Sarah often serves as a keynote speaker and we were very fortunate to have her join us for a keynote address at a recent Academic Affairs Retreat on our campus. We’re also looking forward to her upcoming keynote address at the SUNY Conference on Instruction and Technology later this year in May. Welcome back, Sarah.

Sarah: Thanks for having me.

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

Sarah: Ah… I never am. I actually have a confession. I’m actually drinking a Celsius energy drink. [LAUGHTER] I’ve graduated from even coffee, but I only do this. I’m like, I don’t know if you’ve seen this, but Zoran Mamdani, he has a Red Bull once a week, and so, like Mamdani, I have a Celsius once a week. Gives me a real boost.

Rebecca: Right now is the time. We’re catching you at this moment this week?

Sarah: Well, yes, and we also ran out of coffee filters, so… [LAUGHTER]

Rebecca: That’ll do it. How about you, John?

John: I am drinking an Irish Breakfast tea today.

Rebecca: Oh, seems to be like a new favorite, John.

John: Actually, it’s because we’re snowed in and most of my other teas are up at the office.

Rebecca: I have an English afternoon today.

Sarah: What time of day is it? This seems to be a conflict. One of you is doing breakfast? One of you is afternoon.

John: It is afternoon, isn’t it?

Rebecca: yeah, I don’t know. Yesterday we recorded at 5pm and we both had breakfast teas, so… [LAUGHTER]

John: We did.

Rebecca: It might just be an indicator of how much caffeine we needed at a given time. [LAUGHTER]

Sarah: Gotcha.

John: We’ve invited you here today to discuss the TUnE-Bio project, an NSF-funded academic initiative, for which you are a principal investigator and network leader. Can you give our listeners an overview of this project?

Sarah: Sure. So the focus of the project’s right in our title. So it’s Transforming Learning and Equity in Undergraduate Biology Education by Cultivating an Ecosystem of Feedback, which is a big mouthful, so we call it TUnE-Bio. So we’re tuning biology education. And the focus of the project is really on tackling the problem of high attrition and weed out in undergraduate biology education, and by extension, STEM fields in general, the fact that so many students come to the study of biology and the study of STEM fields in general and want to be doctors and surgeons and scientists, and then they encounter difficulties in their introductory courses and leave for other majors. There’s something that is known as the STEM grading penalty, which is when students get really low course grades in STEM courses, but then they get high grades in their other courses, then that in particular seems to kind of lure them out of the field. And we want to change that, in general, because we need more scientists and we need more nurses and surgeons, but we also want to change that, because there’s also a lot of inequities in terms of who is weeded out, and disproportionately women, students of various races and ethnicities, first-generation status. All these things tend to increase the chances that you will leave STEM fields, and we want a really educated, diverse STEM workforce, and so we’re really trying to do something about that by improving pedagogy.

Rebecca: Sounds like a good initiative… [LAUGHTER]

Sarah: We think so.

Rebecca: …right up our alley around here, right? [LAUGHTER]

Rebecca: At the beginning of the project, you first gathered information on the current landscape of biology education using surveys and focus groups. Can you tell us a little bit about the process of data collection?

Sarah: Yeah, sure. So we started this grant with what’s called an incubator. So NSF has two versions of this particular mechanism, and the incubator is meant to, just like it sounds, to give you a little bit of money to start building a network, start showing the NSF that you can do what you are promising to do. And then we got a full version of the grant a few years later. So this really goes all the way back to, I think, 2020, and we were unsuccessful a few times before we were successful. [LAUGHTER] So it actually goes back to more like 2018, I think, but we got the incubator grant, and one of the things reviewers said to us is, all right, you’re saying you want to innovate in pedagogy in biology, but before you can innovate, don’t you need to know the current state of play, like, what are people doing in their classrooms currently, before you start asking them to do something different, like, maybe they’re already innovating. So we took that charge, and in the incubator year or two, we did a really large survey of people who were teaching introductory biology, all sorts of different institutions all over the country, about 300 of them, and then did qualitative interviews of 27, I think, of them… took a deeper dive. And we’re really asking people about their practices and philosophies in teaching intro bio. What were they doing in terms of assessment, in terms of feedback, in terms of grading? We asked about what they perceived as barriers to innovation. In the early phases, we’re a little more focused on alternative grading. And so we asked a lot of questions about: had they heard of it? had they tried it? Questions about that. And so that was our attempt to figure out the landscape before we started innovating with the full proposal.

John: And what did the data collection tell you about the landscape?

Sarah: Well, first, I have to say that I do think we got a bit of an unusual sample. It’s always the case in research, because we tried to keep the survey under 15 minutes. But still, who has 15 minutes to do something completely optional, and then the people who spoke with us in the qualitative interview study, that was a significant investment of time. And so I do think we got a sample of people who were really interested in pedagogy already, but, that said, we saw a lot of innovation already. So the old school model of two exams and a final in intro courses, we really didn’t see a lot of that. People were using a lot of quizzes, a lot of clickers. They were really thinking deeply, especially in the interviews. They had thought deeply about equity. A lot of the folks we talked to, they really felt the pull of doing more like differentiated instruction and really changing their pedagogy, student by student. And had a lot of frustrations with not being able to find the time to really do that better. And we also asked about barriers to innovation. And shockingly, the top three barriers were time, time, and time, I think the top was no time to implement. The second was the perception that some of these innovations would take more time. And then the third was no time to even like, figure it out, do the reading, restructure the course ahead of time, do those things. So we saw a lot of innovation, but a lot of desire for more, I think.

Rebecca: So that kind of sets the ground for the pedagogical side of the landscape. Can you go into a little bit more detail about attrition rates and the equity gaps that the project is meant to overcome?

Sarah: Yeah, sure. So a pretty significant number of students leave early STEM education for other majors, and it does seem like investigations that have probed the why of that and the motivation has really found it tying to these early low grades in these introductory courses, and I think, in particular, students who are drawn to health sciences, just the way everything set up in secondary education, tend to be students who are quite used to getting high grades, [LAUGHTER] and so having this experience of just getting As and As and As and then you hit college, and you take Intro bio, and then all of a sudden you have a C for the first time in your life. And that being very alarming. There’s also, and certainly we heard this in the survey and the interviews, in terms of the equity, something that people really thought a lot about and felt very deeply about, was the fact that, especially courses that are introductory courses, like intro bio, students would be coming to them with very different backgrounds. Some students had taken AP Bio with a tutor and all these extra meetings and already knew half the material that they were going to be taught. And other students from lower-resourced high schools did not have that experience, and faculty really struggled with that. Starting out from the gate, these students were on paths to differential outcomes, and then that would shape whether they stayed with the STEM study or not. And none of them had really easy solutions, and one of our goals in going forward is trying to give faculty tools to improve pedagogy in ways that equitize that landscape a little bit more. I mean, that basic problem is still always going to be there. It’s a societal structural problem. But if we can nudge faculty to improve how much feedback they’re giving, how motivational that feedback is, how timely it is, all of these things that maybe we can bring those students on those two paths a little closer together.

John: This issue of disparate gender outcomes in STEM fields is something we addressed a little bit on an earlier podcast with Peter Arcidiacono. This seems to be common in many disciplines, so addressing these issues, I think, could be really helpful. And one of the things that really impressed me was looking at the people in the network, or the people who are involved in this program. I’m not a biologist, but I recognize an awful lot of the names there. How was the TUnE-Bio network assembled?

Sarah: Dialing it back to those incubator years, and before our unsuccessful to successful outcomes, originally, Jim Lang and I were co-PIs, so we were both still at Assumption, and were both in the same center, and so we were working together on this, and I was actually really new to the field of teaching and learning, and didn’t know a lot of people. I started out as a psychology, emotion science, person, and only in the last 8 to 10 years moved into teaching and learning. So a lot of them Jim recommended, and then it was like a snowball. So we recommended them and some of those people said, “No, but have you thought about asking this person?” And so we kind of snowballed out, and we had our steering committee, we asked them for recommendations, and they went out from that. And then Jim retired. Then that’s when Michele Lemons my co PI who is a neuroscientist, biologist at Assumption, that’s when she joined. Jim’s still on our steering committee, but now Michele and I are co-PIs on the full proposal, and then we did a big webinar, we did a big launch meeting, and we just actively recruited. So it’s really kind of a snowball method. Also, Bryan Dewsbury is on our steering committee, and he has a beautiful essay, I think, called the soul of my pedagogy in Scientific American, and I had read that, and I was like, “Let’s invite that guy,” [LAUGHTER] and Jim was like, “Great suggestion.”

Rebecca: It’s always fun to see all of those folks assembled in the same place, virtually or otherwise. [LAUGHTER] How does this project connect to the concept of compassionate challenge that you focused on in Mind over Monsters?

Sarah: Well, since we’re focused on feedback, and I think we’ll talk about that in a little bit more, I see feedback at the heart of compassionate challenge. So my framing of compassionate challenge is that students, to be motivated and to learn effectively, they need both compassion and challenge, kind of that false dichotomy that we get into and dueling Chronicle op eds between like, “oh academic rigor” and “oh student focusedness.” Like we need all of it. And I think that we respond best and are motivated when we both are in a place where we feel psychological safety and where we feel understood and seen as people, but then where we also are challenged to rise to expectations. And feedback, I think, is just so critical for student learning, because what feedback is, is you’re giving students information about “okay, where are you at in your current learning journey, and where could you go, and how can you get there?” In that way, it’s stretching them saying, like, “Great job at the learning so far, but here’s all the other places we could go.” [LAUGHTER] But then we’re really focused in the project, on how can we give better feedback, and better feedback being compassionate, growth mindset, motivational, offered in time that they can use it, including more revisions of work, so that there’s a reason for them to read the feedback. If they assess them on a learning outcome, you give them feedback on how they did, and then they’re never assessed on that learning outcome again, I wouldn’t read that feedback. [LAUGHTER] And so I think feedback is really at the heart of compassionate challenge.

John: So right now, it sounds like much of the work of the group is done in working groups, and you have five working groups which are focused around different ways of providing that feedback. Could you talk a little bit about some of the work of these working groups?

Sarah: Absolutely, in the grant, what we’re doing currently is we’re developing tool kits, so we want to give faculty really practical ways that they could improve their feedback. And one of the other aspects of the grant is that it intentionally puts in the same room, often the same Zoom room, that we are gathering in person this May, educational developers and people from the scholarship of teaching and learning, and then biologists. And so we’re putting these minds together so that the biologists can provide the context of teaching biology, and then educational developers can provide the scholarship on teaching and learning. And we want to put them all together in a room, develop these toolkits that will help biology faculty teach in ways that improve feedback. And so one of the first things we did is we assembled these toolkit working groups, as you’re referencing John, and we just today decided to call them twigs. We keep saying T, W, G, and that’s very difficult to say out loud. And then we were on a meeting with one of our steering committee members, Linda Fergusson-Kolmes, and she was like, I keep wanting to call it twig. And I was like, “Let’s do it. Let’s do it.” So these twigs, [LAUGHTER] these each have co-leaders, and then they have members who are also amazing folks, and they’re focused on five different themes. So those themes are, first, how do we get students motivated to actually use feedback and actually read it? Because there’s some data that suggests that, especially when feedback is paired with a poor grade, students won’t even read it. So one group is developing tools to help faculty motivate students to uptake and use that feedback. Another is focused on peer feedback. Some of the tools in that toolkit will relate to LAs, learning assistants and teaching assistants, but then also ways that you can provide peer feedback in class. So motivation, peer feedback. One group’s all focused on classroom assessment techniques like clicker questions and other ways to quickly assess and get feedback on student learning. One of the groups is developing a toolkit on the seven principles of good feedback, asset-based feedback. And then finally, my favorite topic in the world, but we have some lovely volunteers who are willing to go there, AI. [LAUGHTER] if we’re doing something on feedback, they have a challenge ahead of them.

John: I don’t think we’ve had a podcast in the last couple of years that have not at least mentioned AI in some way.

Rebecca: This was yours, Sarah. [LAUGHTER] Now you can move on. [LAUGHTER]

Sarah: Yes, we’re done. Check the box. Check the box.

Rebecca: One of the things that we often hear is like feedback and grading are intermingled or tangled up together. Can you talk a little bit about decoupling of the two?

Sarah: Yeah, sure. We definitely saw this, especially in the qualitative interview. We tried to ask faculty separately about assessment, feedback, and grading, and we defined those for them ahead of time and in the process of the interview. And we defined feedback as information that’s given to students about the current state of learning or their performance on the assessment, other than grading. And then we wanted grading to be grading. Faculty found that very difficult to respond to those three things separately, because they’re all so integrated, and grading is one form of feedback, of course. We really tried to get them to focus more on things like written feedback on short-answer questions, and we have a subcommittee working on the qualitative interview coding. That’s Brian Dewsbury and Lindsay Wheeler and Michele and I, and we have a conceptual model of feedback that we’re building, and we really are thinking of feedback even as things like body language in response to students’ questions, like really expansively about feedback. And I think that the more we can decouple feedback from grading the better. And there’s actually studies showing that if you give feedback before you give the grade, if you like, kind of withhold the grade and you give the feedback, students are more likely to use it and implement it, because I think that the emotional power of the grade just blows everything else out.

Rebecca: As in, like the grade feels too final?

Sarah: Yeah, and if the grade is lower than you expected or desired, especially if it’s significantly lower, I think a lot of students get very anxious, and it can be very difficult to think really logically when your body’s all kind of in a disarray.

John: For many years, when I gave back exams, the students who did well would sit there and they’d be really happy and really not focused that much on going over it and answering questions, and the students that did badly just look kind of unhappy and just kind of set their scowling, which is one of the reasons why I switched to two-stage exams, where they took it first individually, and then it was such a different experience. I remember the time I took a short video clip of the students in the second stage, and I shared it with Rebecca, because it was just so impressive to see them actively discussing things and working through it, because it was so different than earlier experiences going over exams in class.

Sarah: Yeah, I love two stage exams.

John: And I’m reinstituting them after moving away during COVID [LAUGHTER] in one of the classes that I’m teaching. I’m looking forward to that again. You mentioned before that one of the main barriers that faculty face in trying to implement things was time, and certainly that’s a major factor. But are those the only barriers that faculty face when they try to change their teaching techniques, especially if they’re younger faculty, junior faculty in departments which may not all be using these types of techniques.

Sarah: Right off the bat, you identified one of the major ones that we heard is, does your department support innovation, and is there that support? And another thing that came up a lot, and I see this a lot across all my work in different institutions, is students [LAUGHTER] often resist innovations. And I think health science students tend to be disproportionately this type of student who is used to a certain level of grades and a certain level of positive feedback from their secondary education, and then they hit college and they want to do that same thing. And this has always worked for them, you know, these big exams, memorizing stuff, putting out the answer, like that’s worked for them in the past. And so I find when I’m working with faculty who are innovating, especially in the arena of grading, they get the most resistance from the students, who probably are going to get an A at the end of the day, because of that resistance. But those two things can combine, and I saw this at my previous institution, in the biology department actually, and there were some faculty who were really doing innovative stuff, both with grading, but also with active learning and kind of flipped classroom sorts of things. But then most of the department was not doing that, and they experienced more student resistance, I think, because they were in this setting where students would have that reassuring kind of traditional experience in other faculty at that institution, and then they would hit this one course with all this innovation and dislike it more than if more the department were innovating. So that’s another big one. There’s also, and I think this was in your question as well, but precarity of position, and that was one thing that we asked about on the survey so that we could contextualize the responses. Contract faculty and pre-tenure faculty, sometimes they innovate somehow, and it goes not so well, and then they really get burned on their course evaluations at the end of the semester, that that could put their livelihood at risk or their tenure trajectory. So that’s another big barrier, time, time, time, departments, really large classes, that it being difficult to increase the amount of feedback you’re giving students, especially things like written feedback or in person, audio feedback. If you have 500 students, that’s very difficult. So large class sizes.

Rebecca: One of the innovations you mentioned at the top was about alternative grading practices. And given that low grades are discouraging, and certainly one of the barriers for students succeeding in STEM fields, how does alternative grading sit with some of the recommendations coming out of your network?

Sarah: Interestingly, we were more focused on alternative grading in the early stages of the grant, we actually thought that was going to be a major focus of the grant, so the incubator was not honed in on feedback. It was more broadly assessment, feedback, and grading, and we asked all those questions about alternative grading. We moved toward feedback for a couple of different reasons, one being our sense that there was already amazing work being done on alternative grading by other networks and other authors, an entire ungrading conference, and feeling like that need was already being filled a little bit in the world of teaching and learning. But then also, we observed two things in the surveys and the interviews. One of the questions we asked is, How aware of these alternative grading methods? And then we asked about a bunch of critiques of traditional grading, and the extent to which people agreed or disagreed with them, and whether they had tried them, if they hadn’t tried them, why? And there were a lot of folks kind of innovating at the margins. So they weren’t going full ungrading, but they were including pieces of that, and there was some resistance to it. We heard from some people that they were not interested in it because of a variety of reasons, and so we didn’t see as high interest as we might have expected on alternative grading. But then we also saw that people were most dissatisfied with their feedback practices. So when we asked people to rate how satisfied they were with their current assessment feedback and grading practices, we saw overall, a fair degree of satisfaction, but much lower for feedback, significantly lower than for assessment or grading. And this came up on the interviews as well, that we heard a lot of dissatisfaction. People would often wince, [LAUGHTER] when we’re like, “What about your feedback? How satisfied are you with how often and the types of feedback you give?” And they would be like, “Oh, I should do better.” [LAUGHTER] So we saw that, both on the survey and the interviews, with such a high degree of interest in improving feedback compared to assessment and grading. And then also, we felt like all the alternative grading folks were already doing a great job working on that, and we thought we could maybe contribute more and have more of a novel contribution if we honed in on feedback instead.

John: So this project has been going on for quite a while now. What are the next stages?

Sarah: The next stage is very exciting. So the twigs, the toolkit working groups with the five focuses, have been working really hard, and we’re so grateful to them developing a draft of their toolkits. And then in May, we’re going to gather at Simmons University in Boston, although it’s going to be a hybrid meeting. So some folks will be joining virtually, but a lot of us will be in person, and the toolkit working groups are going to present their toolkits to the rest of the network, so not just people on twigs and the steering committee, but also people involved in the network more generally, and we’re going to give them, wait for it, feedback, [LAUGHTER] feedback on their toolkits, and then they will have a whole another year to refine the toolkits based on the network’s feedback on the toolkits, what people would see is useful to include or ways they could shape or tune the toolkits. And then there’s a last stage of the grant. The last two years of the grant is actually, and this is one of the reasons why I’m really happy to be talking with you today, maybe it can spark some interest out there. We also are going to offer some money from the grant to form regional hubs to apply for some funding to use the toolkits in local events. And so we imagine maybe there’d be like New England, Midwest, West Coast, and a couple different institutions can gather together. There’s a few stipulations. There has to be at least one community college or minority-serving institution involved from a non-deficit framework. There has to be multiple institutions interested, someone willing to host, but they can apply for these kind of vouchers to use, to bring in a speaker, or pay for some food or something in these regional events, to use some part of the toolkit in an event regionally.

Rebecca: It’s an exciting new development.

Sarah: Yeah. I like the idea of it. You just give people money to improve pedagogy and gather together. It’s like rare. [LAUGHTER]

Rebecca: It’s a nice luxury. [LAUGHTER]

Sarah: Yeah.

Rebecca: Weeding out is not just a biology thing. [LAUGHTER] It’s common in a lot of different STEM departments. Do you see that the recommendations from the TUnE-Bio project to be applied and expand maybe to these other disciplines as well?

Sarah: Absolutely, and we know it’s not just STEM but certainly feedbacks everybody. And we’re focused on undergraduate biology because that’s what the money’s for, [LAUGHTER] but a lot of us have at the heart, we just want to improve pedagogy across the board, and a lot of the toolkits, as they’re being developed, because we’ve been meeting with the twig co-chairs regularly… I think the classroom assessment technique twig is a little more biology focused. I think they’re developing actual biology modules that people can use in intro bio, but a lot of the other ones, certainly the seven principles of asset-based feedback and how to get students be motivated to implement feedback are not going to be biology specific, and are going to be useful to anyone teaching anything, I think. And the toolkits will be distributed through the regional hubs, but they’re also going to be just downloadable. We’re going to put them on our Qubes site. Qubes is a open website run by the NSF, and we have a membership. So all of these toolkits, people and teaching centers can download a workshop in a box. People who are teaching in their individual class can download the peer feedback, how to train students to give better peer feedback, so they’ll be widely open to everyone, and a lot of them are not going to be biology specific or stem specific.

John: When we were talking about the AI groups, you didn’t seem quite as enthused about the AI twig. Could you talk a little bit about some of your concerns about the increasing reliance on AI in higher ed?

Sarah: Yeah, we could have a whole thing about AI. I don’t want to have a whole [LAUGHTER] conversation about AI, but Pooja Agarwal, I don’t know if you know her, she does retrieval practice, is a widely known speaker in higher ed, but we had a bunch of meetings. We were going to do an edited collection called F-A-I, and it was all going to be just critical AI. So I’m not a fan of AI. I do think there are roles for AI in feedback, in particular, and I’m not completely resistant to that. And I think that if a student were studying alone in their dorm anyway, but there was some kind of responsive tutoring type of program that instead of doing flash cards or just underlining their notes again, they had this experience that was differentiated to them and where they were at in their learning journey, that could be very effective. My concern is that we’re going to instead replace not the studying alone in the dorm with AI, but a student coming to office hours and sitting across from an instructor and having this one-on-one conversation and developing a relationship and, oh, you just happen to also talk about an internship that the student could apply to, or students working together in small groups and giving each other feedback. So if AI is like, on top of all the other stuff we’re doing, like, I think it could be powerful and interesting.

John: Those are really good points. On the other hand, just to bring up one counter argument, we do know that first-generation students and students from historically minoritized groups are less likely to go to office hours and ask questions, and also maybe less likely to ask questions in class because of imposter syndrome or some concern that they don’t want to reveal that they don’t understand something. If they have a Socratic tutor, which is available 24 hours a day, seven days a week, they can ask it anything without fear of embarrassment, which may help them build up more confidence, so that they can then approach the instructor with questions, without being as concerned about not being able to phrase things well or revealing that they don’t understand things.

Sarah: That is a good counter argument. I would still go with the additive one, though, like, okay, let’s make that available to them, but let’s not stop all of the efforts that we do to try to draw them into office hours and into the work, into the relationships in the class, as long as we don’t, then be like, “Oh, it’s fine. I don’t have to do any of that inclusive teaching stuff anymore, because we have this chatbot,” additive, not subtractive, um hmm. [LAUGHTER]

John: And a great reference on some ways of creating a safer environment for students, a more comfortable environment where they feel more comfortable talking to their instructors is this book, I think, Mind Over Monsters is the title. [LAUGHTER]

Sarah: I may have heard of that one.

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

Sarah: For the grant, the May meeting. This is definitely for me and my co-PI, Michele Lemons, and a lot of my steering committee and the twig co-leaders. This is going to be an intense four months I guess, now. So that’s the big thing, meeting together. I’m hoping it’s also gonna be really fun. I think that the network’s supposed to be a network, and I want everyone to feel like they belong to this, like community. But so far, you know, the twigs have been working kind of on their own, and the subcommittees of the steering committee. And I’m really looking forward to having everyone working together and playing together a little bit in the evenings, probably. So that’s what’s next for the grant. In terms of what’s next for me, I just signed a new book contract.

Rebecca: That’s exciting.

Sarah: So it’s called Where are all the Happy People? So it’s a psychology book, not a teaching book, and it’s about the fact that no one is happy, and how can we be happier? And so I go to different spots to try to find happy people and then build a model of happiness. So some of those spots are the nunnery. So I interviewed some nuns. Nude beaches is another. The college classroom, actually is one, and I interview Bryan Dewsbury for that. Burning Man is another. So I’m Lithuanian in part and there’s a burgeoning pagan revival there. So I’m hoping to get over to Lithuania with my sib kid who has been learning Lithuanian.

John: A somewhat different sort of research. That sounds like it could be a lot of fun.

Sarah: I’m hoping so. I just wanted to spend the next three years thinking about happiness.

John: Happiness has been a little sparse for academics, especially for the last year.

Rebecca: Well, I hope we find out where all the happy people are, and we can join them.

Sarah: Meet at a nude beach. [LAUGHTER]

John: It is 15 degrees right here today…

Sarah: Yeah. [LAUGHTER] maybe not. [LAUGHTER]

John: …or that’s the projected high later today. It would have to be one of those polar bear ones.

Sarah: Mmm, doesn’t sound safe.

Rebecca: …or happy. [LAUGHTER]

Sarah: No. Safe or happy. Shall be tucked in around a fireplace about now, I think.

John: Well, thank you. This is a wonderful project, and we’re looking forward to seeing those final toolkits. And I’m wondering if maybe there might be some TUnE math and some TUnE chemistry and TUnE economics and other projects in the future coming out of this.

Rebecca: Perhaps we’ll just tune the academy.

John: That would be much better.

Sarah: Oh, thank you both so much.

Rebecca: It’s always a pleasure.

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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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429. An Educator’s Guide to ADHD

Each student brings individual strengths and challenges to our classroom communities. In this episode, Karen Costa joins us to discuss ways to help students with ADHD thrive.

Karen is a faculty development facilitator specializing in online pedagogy, trauma-aware teaching, and supporting ADHD learners. Karen holds graduate degrees and certificates in education and education leadership; trauma and resilience; trauma-informed organizations; and neuroscience, learning, and online instruction. She is the author of 99 Tips for Creating Simple and Sustainable Educational Videos, and has served as a facilitator for the Online Learning Consortium, the Online Learning Toolkit, and Lumen Learning. Her most recent book, An Educator’s Guide to ADHD, has just been released by Johns Hopkins Press. Through her business, 100 Faculty, Karen offers supportive, fun, and engaging faculty support and development to faculty from all over the world.

Show Notes

  • Costa, K. (2023). 99 tips for creating simple and sustainable educational videos: A guide for online teachers and flipped classes. Taylor & Francis.
  • Online Learning Consortium
  • Lumen Learning
  • Costa, K. (2026). An Educator’s Guide to ADHD. Johns Hopkins University Press.
  • 100 Faculty
  • Clear, J., & Clear, J. (2018). Atomic habits: Tiny changes, remarkable results. Penguin Publishing Group.
  • Costa, Karen (2022). Systems Aren’t Scary. Medium. October 31.
  • Hallowell, E. M., & Ratey, J. J. (2022). ADHD 2.0: New science and essential strategies for thriving with distraction–from childhood through adulthood. Ballantine Books.
  • Dr. Ned Hallowell’s TikTok channel
  • Fehmi, L., & Robbins, J. (2008). The open-focus brain: harnessing the power of attention to heal mind and body. Shambhala Publications.

Transcript

John: Each student brings individual strengths and challenges to our classroom communities. In this episode, we explore ways to help students with ADHD thrive.

[MUSIC]

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

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

John: …and Rebecca Mushtare, a graphic designer…

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

[MUSIC]

Rebecca: Our guest today is Karen Costa. Karen is a faculty development facilitator specializing in online pedagogy, trauma-aware teaching, and supporting ADHD learners. Karen holds graduate degrees and certificates in education and education leadership; trauma and resilience; trauma-informed organizations; and neuroscience, learning, and online instruction. She is the author of 99 Tips for Creating Simple and Sustainable Educational Videos, and has served as a facilitator for the Online Learning Consortium, the Online Learning Toolkit, and Lumen Learning. Her most recent book, An Educator’s Guide to ADHD, has just been released by Johns Hopkins Press. Through her business, 100 Faculty, Karen offers supportive, fun, and engaging faculty support and development to faculty from all over the world. Welcome back, Karen.

Karen: Thank you. I’ve been here before a couple times. It’s been a while, and I just want to say I’m so impressed with your continued work, that you are able to put these incredibly helpful podcasts out into the world. I think the first time we talked was around COVID lockdowns, about trauma, and you’re still doing this, and I find that so impressive. Thank you for all that you do.

John: In fact, your first podcast with us during the pandemic was our most popular podcast ever, and it remains so, it’s still number one on our hit list of the most popular podcasts.

Karen: Well, that wasn’t me. That was because people were trapped at home and desperate for some kind of simulation. So I can’t take credit for that.

John: You provided some help that they desperately needed during that time.

Karen: I’m glad you said that. I do get nervous about these things, but I think you all are my first sort of podcast stop. I’m talking about this book, and it’s a little different, because the book’s not just about helping students and helping teachers, but it’s about me and being somebody with ADHD and late diagnosed and all that comes with that, and I speak pretty openly about it, but there is an element of vulnerability to that. So I gave myself a little extra TLC this morning, reminding myself that it’s normal to feel that vulnerability. I’m really glad to be having this first initial conversation with the book with you two who are so kind and welcoming and making me feel right at home.

John: And speaking of TLC, do you have tea today?

Karen: I don’t think I’ve ever had tea when I’m with y’all.

John: You’re one of many.

Karen: I don’t pretend, and I like to think I’m a truth teller. So I’m drinking a nice, crisp, cool, Polar lemon seltzer, because when I do podcast interviews or talks, I do tend to get warm, and there’s a non-zero chance these days that that could lead to a hot flash. So there’s no tea, and I’m keeping things cool. So to our listeners who also need to keep things cool, you are seen and supported.

Rebecca: You can have iced tea.

Karen: Iced tea, yeah, I have to limit, while this is another ADHD story for another day, but yeah, I got to be careful about the caffeine. There’s probably a decaf. I’ll explore it.

Rebecca: Maybe next time. Today I have a Kenilworth pekoe tea.

John: Very nice. Was this one you picked up in England too.

Rebecca: This is from Scotland.

Karen: You went to the UK recently.

Rebecca: It was last summer, but I stocked up.

Karen: Oh, I’m sure. I lived in London in college for study abroad, so I never made it to Scotland. That’s on my list. I’m jealous.

John: And I just have a mint tea, which I picked up in the local Wegmans.

Rebecca: Still important. All right, now that we’re all hydrated, we invited you here today to discuss An Educators Guide to ADHD. Can you tell us a little bit about the origin story of this book?

Karen: I always find that an interesting question, because we could go pretty far back, generationally speaking. There’s some stories there, but we don’t have that much time today, so [LAUGHTER]I’ll come into the nearer future. A few years ago, I read a book called Atomic Habits by the author, James Clear. I love reading nonfiction. I’m usually reading, because I am ADHD. The way I read nonfiction, I usually read four or five at the same time and sort of cycle through them, because that’s how my brain works. I really enjoy self- development type books. I know how to take what I need from them and leave the rest, because they often have things I don’t agree with and things that aren’t helpful, but I can usually take a nugget or two, and the message I took from Atomic Habits was to focus on systems more than habits, which is something I had already been doing, but it kind of named that for me in a new way. I got excited about it, and I talked about it a little on social media, and I got some, not a lot of, pushback, but some of the pushback was of the don’t do that, don’t read books like that. You’d be better off taking a nap and resting, sort of like people who don’t really support or like that, quote, unquote, business bros, type of advice. And I found that sort of pushback really concerning, because systems for people with ADHD are really life saving, sort of like assistive devices. And so I wrote an article about it called “Systems Aren’t Scary,” and I think it came out on Halloween, which is we’re recording this the day before Halloween. That’s why I called it “Systems Aren’t Scary” because I’m so clever. And Jim Lang and Derek Krissoff, who were at the time, at West Virginia University WVU press. I was talking to them about writing another book, and they saw that article, and they said, “Oh, can you write this book instead?” And I said, “Okay, sure.” Long story short, a lot went down at WVU a few years ago, and Jim and Derek moved on, and I moved on, and was really happy to end up through the leadership of Greg Britton at Johns Hopkins University Press. The book is coming out. At the time of this recording, it’s October, so I think you’ll be hearing it, right around comes out January, 20, 2026 it’s been a long and winding road, changing publishers like that. For somebody with ADHD who struggled with finishing things, it was interesting. I’m proud of myself that I stuck with it. Writing a book is an incredibly long process, slow process. I like to do things like immediately and quick. So book writing is sort of out of my comfort zones, but I really want to have this in the hands of people. I want the generations coming behind me to have it better than I did, and I really want people to understand ADHD for what it is, and to make the world a better place for my fellow ADHDers, so I’m glad that I stuck with it and got it out into the world.

John: You begin the book with an analogy between ADHD and living in a house that’s open to the elements, in terms of both the advantages and the disadvantages. Could you share this analogy with our listeners? Because I thought it was a great introduction to your book.

Karen: Oh, thank you. I changed that introduction 17 times. It’s lovely to hear that. It’s such a funny thing. Book writing is such a solitary process. So just starting the stage where I get to hear from learners who’ve read the book is very exciting. So give me a minute here to be like, “Oh, that’s so cool, John read my introduction.” I like analogies. The analogy is, imagine that you’re living in a house with the windows thrown open, no screens. You are just sort of at one with the elements. You have a certain layer of protection, but you can hear birdsong. Maybe birds even fly into your house. Maybe the cute, adorable forest animals come into your house as well. You sort of got like a Snow White vibe. Your neighbor walks by the house. You can call out to her while she’s walking her dog, and say, “Come over and have a chat. Have a coffee.” You can pass her coffee through the window. We can imagine sort of this combination of those really lovely positive aspects, but also you’re going to have the not cute forest animals and the mosquitoes in your house. It’s probably going to be noisy. You’re much more exposed to the elements. So it’s this combination of strengths and challenges. We can imagine the neurotypical house as being more similar to a house with the windows closed, so you have certain protection from those elements. There is sort of a more fixed or closed or rigid nature to it. I’m not using those terms as positive or negative, just trying to describe that experience. And there’s positives to that, right? It keeps out the pests. However, you’re not going to get to hear the bird song either. There’s pros and cons. Another analogy, I don’t think this is in the book, but I’ll share with people that I often have been thinking about lately, is if you want to cook spaghetti, you use a pot, and that’s where you boil the water and you cook the pasta in the pot, and then you want to drain the water out of the pot. So you use a colander or a drainer. And one of the ways we can think about ADHD as like the colander or drainer, and we might think of the neurotypical person more like the pot. You wouldn’t say, like, oh, the colander is better than the pot, or the pot’s better than the calendar. They’re different. They have different benefits and different drawbacks. You’re not going to cook the pasta in the colander. You’re not going to drain the pasta in the pot. So there’s lots of metaphors that we can think of ADHD, but this more sort of open fluidity. And a word I’m using a lot lately is porousness, because I think that word has less, sort of like goodness or badness attached to it. It’s kind of more like it’s just the nature of the item. So thinking about the ADHD brain and neurotype as more porous, which comes with challenges, but it also comes with strengths, so that more fluid or porous brain or neurotype or experience has a lot, a lot of benefits, which I talk about in the book, and it has a lot of challenges. And that’s where we can meet folks with ADHD.

Rebecca: A growing share of students are diagnosed with ADHD. Can you talk a little bit more about whether or not this is because more people are being tested?

Karen: When I wrote the book, I didn’t expect ADHD and autism to be in the news, as they have been recently this past year, in quite that way. There’s a lot of conversation happening on this, a lot of interest, and that boggles the mind. We don’t have any evidence, despite what you may have read or seen on the news, we don’t have any evidence that ADHD is growing. It’s kind of presented as like this monster that’s out of control and we have to contain it. That’s not what’s actually happening. We are seeing things like a decrease in stigma. A lot of that is due to social media, and a lot of that is due to specifically conversations that happened during the pandemic where a lot more folks sort of came online and came onto social media and were speaking more openly about some of those challenges. We also know that, particularly later in life diagnosed folks, crises or massive changes will often precede a diagnosis. So a lot of the people who [LAUGHTER] were in a structured work environment and then got sent home with all their stuff one day, [LAUGHTER] and had to live in a very unstructured environment that is often cited as one of the reasons a lot of people realized something’s going on here, because that external structure of the workplace went away. So, that didn’t create the ADHD, It revealed it. We have no data, and there’s no evidence that this is something that is growing because of… I don’t even know. I try not to listen to these people. I don’t want to give them too much attention. But there’s no evidence that it’s growing. It is likely due to an increase in awareness, a reduction in stigma. Social media is motivating people to realize things about themselves, and many folks have been saying, “I want to get tested,” or folks are self diagnosing. So we’re seeing sort of a rise in awareness about ADHD, which I think is a really good thing, because I talk about diagnosis as a map in the book, and whether we can talk more about this formal clinical diagnosis or self diagnosis, diagnosis can be a map, and it typically can be a map to support ,whether that’s through medical treatment, through lifestyle design, or to community. And for me, that was one of the biggest pieces of the puzzle, was finding people like me who I can talk to about this experience and know that I’m not alone in that. So we see that, when done right and supported, diagnosis can lead to a massive reduction in shame, which is one of the biggest challenges for people with ADHD. Diagnosis is increasing more because of awareness and access, and generally speaking, it can be a really good thing because it connects ADHD or their communities.

Rebecca: Folks feel less stigmatized who have ADHD is becoming evident in university environments because people are speaking out more openly about such a diagnosis and also asking for supports and having really healthy conversations. I know that I’ve had some of those conversations with students in ways that I wasn’t having previously, because the students brought that conversation to the table, which I think is really great.

Karen: I think that’s great, and two things can be true. So I think we are seeing a decrease in stigma, and I think like [LAUGHTER] we were starting from a really, really bad place. So like, any improvement is good, but I will tell you, I get messages from people all the time, private messages, like through social media or email, and it’s from people who are working in higher ed who either are ADHD or suspect they’re ADHD, and they’re coming to me privately to ask for advice because they don’t feel they can speak about it publicly. I talk about it because I try to use the privileges that I have to, again, make things better for people who don’t have the privileges and protections. I like to be honest, the biggest reason I’m able to talk about this is because my husband has a stable job that provides me access to quality healthcare. As an adjunct. If I didn’t have that access, would I be speaking about this publicly? I don’t know, because I can’t live without… I don’t really think anybody can, but I have chronic health issues, and I need a lot of support with my various diagnoses, so if I didn’t have that, I wouldn’t be able to do this. Yes, I think two things are true, and we’ll never be bored, because we have so much work to do and so many areas of opportunity. So we won’t be bored, is the good news.

Rebecca: I really appreciate you also just addressing and drawing attention to the differences of experiences often that students might have from faculty and staff too. This is true around accommodations and all kinds of things related to disability.

Karen: I want to speak on the accommodations piece. That was one of the most intense parts of the book. There’s a page in the book where I write about the process to get a diagnosis. Because right now in higher education, our accommodations model, in order to access learning through formal accommodations, students have to come in with a formal clinical diagnosis. And I forget exactly how many steps I wrote out in that process, but it was like 18 steps. That made me feel pretty sick about that, that that’s the model that we’re using, and obviously a lot of folks are designing around that, through Universal Design for Learning and focusing more on accessibility. That’s how I teach. I know so many folks listening to this teach that way. But the idea that the system that we, who claim to be some of the brightest people in the world, have developed has 18 steps in between students and access to learning is preposterous and infuriating. So again, though, the good news is no boredom, because we have plenty of work to do.

John: And your book is a nice, important part of that. And the issue you just mentioned results in a lot of inequity, because those steps take time, as well as some diagnosis that’s not free, typically. The people who are more likely to get diagnosed are people who do have the privilege of good health insurance and more free time and other things. So the impact is quite inequitable on students.

Karen: Absolutely, it’s not just the fact that you are asking somebody who has executive function challenges to go through an 18-step process, which is again preposterous. It’s that even if the person with ADHD can get through that, we know that there are massive inequities around race, class, and gender in terms of access to a formal clinical diagnosis. Girls and women are massively under diagnosed. I was one of those girls who slipped through the cracks until I was diagnosed at the age of 40. We know that black and brown kids are less likely to be diagnosed. They are more likely to be misdiagnosed, often with personality disorders, or they are funneled into sort of like the punitive discipline process, instead of getting access to their actual diagnosis that can lead them to community and to support. You’ve got this incredibly inequitable system that’s just people are getting misdiagnosed or not diagnosed at all. You get into higher education, and you say, in order to access what you need to learn, there’s all these barriers in place, and a formal diagnosis can cost upwards of $3,000 if your insurance doesn’t cover it. In addition, the most recent diagnostic appointment I had was eight hours long. I had to find somebody who could do the work. I had to drive into Boston, which is, as the crow flies from where I live, it’s like 30 minutes, but Boston traffic, it’s like two hours. So eight hours out of work and life, and go in and making the appointment. I can go on and on here. So just the casualness of how people talk about like, “Oh, you just need a diagnosis,” is just so wrong. It’s so, so wrong, and we’ve got to do better.

Rebecca: You talked a little bit already today in our conversation about how diagnosis can provide a little bit of a roadmap. Can you expand upon that a little bit, maybe from your own experience and how that provided you with a roadmap?

Karen: I have had the experience my whole life of feeling like an alien. This is actually a pretty common thing among folks who identify as neurodivergent. There’s some writing on this, which I learned about after I was diagnosed. And I was like, “Oh, that’s cool.” This feeling of wrongness, of this deep shame, of like, why can I do these things but not these other things? One of the things I talk about in the book that’s really challenging for people with ADHD is personal care and dental hygiene. This is the vulnerability I was talking about earlier. One of the things I struggle is remembering to brush my teeth, and not just remembering to brush my teeth, but remembering if I brushed my teeth. So if I leave the house, which I don’t too often, because I work from home, but anytime I leave the house, I don’t know if I brushed my teeth. I can’t remember. Speaking back to James Clear, I have a system that I’ve learned to create, and if my husband’s home because he works from home, I’ll text him and I’ll ask him, can you check my toothbrush to see if it’s wet? And he knows how to help me, so he’ll check. And most of the time, he says “yes,” but sometimes he says “no,” and I drive with a toothbrush and toothpaste in my car and a bottle of water. If I didn’t know that I had ADHD, that’s a really, sort of, like, scary and demoralizing and shameful thing of like, what’s wrong with me? Why can’t I figure this out? Right? Like, I just wrote a book, I have a master’s degree. I speak publicly, and most of the time I think I know what I’m talking about, but I can’t remember to brush my teeth. And that’s one of like, a million examples. When you get the diagnosis and you learn to understand your brain, and I understand now why I don’t remember to brush my teeth. And I understand how to design a system, and I understand that the most important part of that system is if I remembered or if I didn’t. I say to myself, “Karen, I’m so proud of you. I’m so proud that you checked with your husband and now you have your toothbrush in the car. I’m so proud of you,” or if I did remember I say “I’m so proud of you that you were…” like either way to learn how to speak kindly to myself. It was just so confusing before when I didn’t know what was going on. And those skills have been learned through therapy and working with coach and doing tons of study on ADHD and things like that. There’s work involved in that, but yeah, I think that shame reduction piece is so powerful, and you find people like yourself, like one of the books I talk about most in my book is the book ADHD 2.0 by Ned Hallowell and John Ratey, and they’re both medical doctors, but they both also have ADHD. And Dr. Ned, when I was first diagnosed, seeing him say… he would do these little TikToks about what people with ADHD, and then he would say, people like me. And when he said people like me, this doctor who has written multiple books, little pieces of me would start to heal. It was the “people like me,” not even the content that he was talking about. It was when he said, “people like me.” And that is, for me, the beauty of what diagnosis, whether clinical or self, can do, is it can help you find people like you.

John: So you received some really nice support from those videos. What can faculty do to better support students who do have ADHD, and you mentioned in the book that faculty need to unlearn what they think they know about ADHD. Could you talk a little bit about some of the misconceptions that people have?

Karen: The first problem we have in front of us is the name. ADHD stands for attention deficit hyperactivity disorder, and I’ve had very lovely sort of people who are ingrained in the clinical or medical model say to me, “that’s not deficit based,” and this has happened to me, so it has the word deficit in the name disorder. Yeah, so that’s not what it is. I still use the term ADHD. I don’t use the term attention deficit hyperactivity disorder because it is obviously deficit based, but it’s just we’re learning now that it’s incorrect. ADHD is not a deficit of attention. It is now increasingly being understood as an abundance of attention. And Hallowell and Ratey are on the leading edge of this. But we’re also seeing this influx of researchers who have ADHD coming into the field, and the framing of research studies and how you approach them, obviously impacts the outcomes. I know I’ve got a lot of research folks that are listening, and when you bring folks in who’ve actually lived with this neurotype, you open up this whole world. We are learning so much more about what ADHD is and isn’t, and one of the biggest misconceptions is that it is either deficit or superpower. So I use this model of strengths-based, challenge-aware, which I think is a much more middle path. It is not fully a deficit; i t does include challenges. I don’t like when people say it’s a superpower, because my family and I are fans of superhero movies, and all the superheroes are intensely miserable, and it has ruined their lives. I talk about Tobey Maguire Spider Man meme in the book, where he’s just the most miserable human on the planet. Superheroes are not generally healthy and happy, well-balanced people. So I like to really bring people into this middle path. This is a neurotype. Another way we can think of it as a brain style. It is part of the natural, vast variety of life and ways of being in the world, and it comes with challenges, and it comes with strengths. And I go into this in the book. We are taught that there’s one right way to be, the neurotypical way of being, and that anybody who diverges from that is both weak and threatening. The reason we do that is so that we can then deny those people resources, its not rocket science. So it’s really quite a radical thing for folks to say, “Wait a minute, I’m not weak or threatening. I’m part of the vast variety and natural neurodiversity that is part of the entire world.” And if you, as an educator, can shift your mind into that, you will not only be better supporting your students, but you’re really also sort of working toward a brighter, better future where we can move beyond some of those limitations. The biggest thing is to also bring in those strengths. And I want educators to know this is like a win-win. Your ADHD students are the creative geniuses of the world, and they are little engagement fireworks that you can be igniting in your classrooms. That’s the number one thing educators tell me that they want to do in their classroom is to engage their students, and your ADHDers are just like human vacuum cleaners who love to consume information, love to learn, have so many ideas, they’re gifts and assets to our world and to our classrooms. The most important thing that you can do as an educator is to get your mindset in check about what ADHD is. Get rid of the deficit. Get rid of the idea that there’s something wrong with us. We are part of the natural variation of the many neurotypes and ways of being in the world. We have challenges. We need help, we need support, but we also come to your classrooms with so many strengths. So if you can come into your classroom with that mindset, you’re going to reduce shame, and you’re going to design inclusive learning experiences for your ADHDers.

Rebecca: Can you talk a little bit about some practices in the classroom that can help lean on some of those strengths and help address some of the challenges.

Karen: The first rule of supporting folks with ADHD is externalize everything possible. Our working memory, as ADHDers, I mentioned this word before, is very porous. An example of that is if I leave this room of my house that I’m in now, and I go into another room with the intention of putting on a different pair of socks. When I get into that other room, I will have no recollection of why I’m in there. If I need to do that, what I will do is I externalize it. As soon as I say “I need to change my socks,” I will walk into the other room and I will repeat to myself, “change shocks, change socks, change socks.” I’m making it external, because I’m not able to hold change socks in my working memory, so that when I get to the other room, I can take that action. This saying “in one ear and out the other.” is how my working memory works, [LAUGHTER] or doesn’t, for that matter. It’s porous. The thing is that, I want to say this quickly, that porosity is the reason behind our creativity. Let’s go back to the open windows. So that’s why we’re getting birdsong. That’s why we are getting to play with the squirrels and have all that fun. That flowing creative energy is Hallowell and Ratey, call it “the paradoxical pairs.” The flip side of that is we can’t hold things in our working memory. So this is what you got to do. Everything is external. Everything gets written down. What you don’t want to do is like, if you’re on site and your students are walking out of class, time is up, you yell out the door, like, “Don’t forget, I want you to read pages 72 to 77 next week,” or whatever, in one ear and out the other. The second it’s out of your mouth. It no longer exists to me. Things need to be put into emails, put into task lists. We need to be putting things in multiple modalities so that it’s something that we can see and touch. I use multiple alarms. So I use like things that I can hear, things that I can see, things that I can touch. And there’s always multiple layers. Task lists are really a lot of bang for your buck. What do you want people to do this week? And it’s got to be something I can see and touch. Couple other things I’ll mention, metacognitive, or what I talk about in the book, is meta learning. So metacognition is learning about learning. Meta learning is sort of just like a more expansive way of not being quite so brain bound. Giving students a chance. I’ll name the elephant in the room, the AI elephant in the room. I’m seeing a lot of folks who are linking metacognition to some of the pedagogical strategies we can use in the AI era, having a greater focus on process rather than product, and metacognition and meta learning is great for this. So asking students, how do you plan to do this? And then after they do it, what did you learn from what you did? It’s great for everybody, but it’s particularly great for ADHDers, because we get to explore our process and what works best for our brains, and then the reflection afterwards, we get to see if it worked, and then we can redesign as we go. That’s a much better process than you imposing what you think your ADHD students should be doing. You’re putting them in the driver’s seat of your learning. This metacognition should really be much more intensely built into all our courses, but it’s a particularly powerful strategy for ADHDers. Fun fact, somebody who got their hands… I didn’t end up having to work with this person …[LAUGHTER] on an early copy of my book, who was from the clinical field, said pretty much word for word, “ADHDers can’t do metacognition,” and there’s reams of data of how good metacognition is for ADHDers. We absolutely can do it, and it benefits us, but there are still so many people out there who have this idea of like ADHDers can’t do that. That very ableist mindset is alive and well. But read the book. There’s tons of research in there to support this. The beauty of this is you’re not trying to make them be a neurotypical student. You’re empowering them to figure out what works for them. I could keep going, but I know we don’t have all day, so I’ll stop there. Read the book for more ideas.

John: Those techniques you’ve talked about are good for everybody, and they’re parts of inclusive teaching practices, which suggests that a lot of inclusive teaching practices will work for a wide variety of students with a wide variety of backgrounds [LAUGHTER] and needs, desires, interest and motivation. This is really good advice for all students. One of the things that you’ve talked a little bit about is that deficit mindset, and one of the things you suggest is that, as you have already mentioned, the term ADHD is a misnomer. And you suggest an alternative ON, or the open neurotype. Do you think using a more neutral term like that might help shift people from the deficit model to a more accurate representation of our students?

Karen: I thought I would have some fun with it and say, If I could rename ADHD, what would I name it? And I landed on open neurotype, because ADHDers, we are often “on,” I don’t know if we have an offsetting that’s one of the best parts about us. We have what the French would call a joie de vivre, a joy in life. One of our challenges is never turning off. It can be quite exhausting. “On” worked for that reason, but it also worked in that idea of a neurotype is one of the words I use to describe these, I don’t like the word conditions, but some folks are still using the word conditions. It’s a better word than conditions. It’s not a disorder, and it’s not a condition, it’s a neurotype. It’s a brain style, and then open is talking to that fluidity, that porosity, that flow, that is the best part of our ADHD learners, and it’s also the root of many of our challenges. I don’t know how we get from attention deficit hyperactivity disorder to something like ON. I do know that if the word deficits in the name, then it’s deficit based. So again, the way I’m doing it is I’m very transparent about my language choices, and I talk in the book and I say, like, I’m going to use ADHD, I’m going to tell you what it stands for, and then I’m not going to use that term again, and that’s what I do in my work. And I hope that, again, as we have this influx of ADHD researchers coming into the field and a lot more advocacy going on, I hope that we start to lean into more inclusive terms, just as one other example in the ADHD 2.0 book, they use the term VAST, variable attention stimulus trait, that is their alternative term for ADHD. And you’ll notice variable attention is speaking to the fact that ADHD is, once again, I’ll say it, not a deficit of attention. And stimulus trait is a much more flexible way of looking at this, not as a disorder, but as a collection of traits.

John: And the use of the VAST term, too, points out that there’s a whole spectrum in which people may have their attention. It could be very narrowly focused, or it could be much more open. And we have a wide variety of people, and we should be trying to address the needs of everyone.

Karen: I talk in the book about there’s this relationship between neurodiversity and biodiversity, which I find very fascinating, because we’re seeing that biodiversity is under attack, and a big part of some of the worst climate outcomes we’re seeing are related to the loss of biodiversity. And some of the original creators of this term neurodiversity were modeling it off of biodiversity. And the idea is that if you look around the world, you see millions of ways that life expresses itself. There’s not one way to be alive, and neurodiversity is lined up with that, there’s not one way of being a human being and expressing yourself and experiencing the world. There’s a seemingly infinite number of ways. So that vast variety is why life persists. Life didn’t put all its eggs in one basket, [LAUGHTER] sort of like why life is here. It’s a good thing. There is strength in diversity. I want to say the word diversity like 100 times a day, because we’re being told we’re not allowed to say it. It’s why we are here. Diversity is strength. So whether it’s neurodiversity, racial diversity, gender diversity, diversity is strength. And I just want to say it a million times, because people don’t seem to get it. And neurodiversity, biodiversity, we need to celebrate it all.

Rebecca: I wanted to circle back to the idea of attention. One of the phrases you used earlier and you use in your book, is that, like abundance of attention, I find really delightful. But we also hear a lot from faculty of concerns about paying attention or distraction or focus, all those kinds of words. Can you talk a little bit more about this range of attention and why maybe this narrow focus on how the term is used is problematic.

Karen: This one could probably be a book in and of itself, one of the first things that people can do if they want to explore this, a fascinating exploration is look at the different words and terms we use across various languages to describe attention. So I’m studying French later in life, which is a very ADHD thing of me, and the French translation is not to pay attention, but to make or do attention, which is a very different way of looking at it. Isn’t it interesting that in America, attention is something that we pay, so there’s a little like, “Hmm, let’s be curious about what’s actually going on here.” There’s a book I talk about in my book called The Open Focus Brain, by this guy, Les Fehmi, and his argument is that this idea that attention, it should be this very like you’re zoning in on one thing, is very much tied to capitalism, and that’s how you are efficient. That’s how you’re a good worker bee. That’s how you produce the most, is by zooming in on one thing. Zooming in on one thing is also what we want to do if we are like under threat. And he argues that by really cultivating a single pointed type of attention, we are training our brains to believe that we are under threat whenever we are sort of in that super- focused type of attention. He presents this alternative called “open focus.” And anybody who’s listening to this, who’s gone through meditation, I’m like a lifelong… this is another podcast… yoga student teacher and meditation student teacher. When you go through the meditation process, you often learn to start with single pointed meditation, focusing on an anchor or your breath, and then you learn to expand out, and you learn to sit in meditation and be open to all of the experiences and all of the noises and all of the sensations. One of those isn’t better than the other, so open focus is the idea that we are able to be taking in everything that’s happening around us: the other students in the classroom, the sound of the air conditioner, the smells in the room, ADHDers tend to have that sort of more open focus that can make it more challenging for us to be in that sort of productive, efficient mode, but it offers many gifts as well. That’s why we’re so creative, and why we are able to connect seemingly disparate ideas in really interesting ways. So it’s, again, that blessing and a curse. The other thing that we will do, ADHDers, when we’re in a setting where you’re saying, I’ve got to zone in and my focus is open, is that we will do something called stimming, which is things like doodling or fidgeting or turning around in our chair, things like repetitive motions, rocking. Both ADHD and autistic folks do this. We’re not doing that because we’re distracted. Doing that helps us to focus. So that’s one of the big messages I guess I’ll leave folks with is whatever you want to call it, you don’t know when people are paying attention. Attention is very complex. It’s very personal. It’s very diverse. Stop trying to police other people’s attention. The way that I pay attention. I mean, my desk is like covered with little toys and gadgets that I use behind the scenes [LAUGHTER] in Zoom meetings to keep myself focused. If you think attention looks like sitting still and not moving, you’re going to say she’s not paying attention. I actually am. I’m deeply paying attention because I’m doing all of those other things that give me those external structures that I need to focus in on what you’re saying. So stop trying to police people’s attention. Know that open awareness and open focus is another way of being in the world, and incredibly valid and important, and we probably need a lot more of it, and trust your students to do what they need to do to be present in your classrooms.

John: A friend of mine is an autism researcher, and we’ve talked about it quite a bit in terms of the type of focus that people with autism have. As I was reading your description of ADHD, I was seeing so many connections in terms of the different types of attention, and you mentioned that there’s an emerging recognition of an overlap between ADHD and autism. Can you talk a little bit about the ways in which they’re connected, or the similarities that occur in autism and ADHD,

Karen: I can. So here’s a fun little story for the listeners. In the middle of writing this book, I got a second diagnosis. After getting late in life ADHD diagnosis, I then got a late in life autism diagnosis, so am doubly blessed. And remember the winding journey of writing the book I mentioned earlier? Didn’t see that one coming either. So yes, I can speak to this from both lived experience and the research. AuDHD is sort of like this new wild frontier that we are seeing rise up. I’m really excited for this understanding of the overlap between autism and ADHD. I think we’re going to be hearing that term, AuDHD more and more and more in the coming years, there’s a lot of unknowns. So I have seen data that up to 80% of autistic folks would also qualify for an ADHD diagnosis. At that level, [LAUGHTER] you start to wonder what’s going on. And there are some folks who are saying, “Are these like the same thing, and they’re manifesting in different folks differently.” There was a time, up until several years ago, where you couldn’t get both an autism and an ADHD diagnosis through the DSM. They said these two things cannot overlap, and now they’re saying 80% of folks with autism have ADHD. So we are learning a lot. There are days when I feel like these are the same thing, and AuDHD is like a thing in and of itself, and there are days when I can feel them as separate entities [LAUGHTER] inside of my head. And it’s hard for me to explain that, unless you’ve lived with these neurotypes, it’s a very sort of fluid situation. I don’t know if it’s a question we’ll even be able to answer through research. I think it’s more something we’re going to move through and have to experience and really listen to people’s lived experiences. But you’re going to see a lot more AuDHDers in your classes, in your meetings. The joke is in our community that if you got a late in life ADHD diagnosis that you can just chill out for a couple years and then you just go and pick up your autism diagnosis as well, because there are some folks who believe the reason that they mask each other, and that’s why folks are getting late diagnosed. One of the ways [LAUGHTER] that I’ve heard it talked about is ADHD is the gas pedal and autism is the brake. So you’re driving a car pressing down the brake and the gas pedal at the same time. It makes for an interesting ride, but there’s some evidence that they’re masking each other, no less challenging for people. They are no less in need of support, but there’s some interesting overlaps going on there. If you’re listening to this and this is something that interests you, we just need a ton more research on this, a ton more support. We need people who are diagnosed and have lived experiences leading the charge on this. But yeah, AuDHD is going to be pretty big and very interesting for us to continue to learn about.

Rebecca: So earlier, you mentioned about Universal Design for Learning and also accessible design. Can you talk a little bit about how those methodologies, frameworks, might really help all students, but ADHDers in particular?

Karen: Yes, absolutely. So. I am a student and a facilitator of UDL, a practitioner of UDL, a wonderful approach that helps us address those accommodations, limitations, fantastic. Two things can be true. My concern about UDL is that sometimes I feel like it’s used to ignore disability or ignore difference, and I’ve heard sometimes UDL practitioners say things like, “We don’t even need to talk about your disability or your ADHD in the classroom, because we have designed this accessible learning experience.” Well, those are parts of me, so UDL is not intended to wipe that away. When done well, it should be inviting that into the experience. So what I think might be helpful, I’ll give an example. For me as an educator, I feel like I’m on the right track when I hear from a student who says I have accommodations, and I look at their letter and I am able to respond to them and say, “I’m so glad you sent me this. All of this is designed into the course already for all students,” that feels like I’m on the right track. And I will often disclose, depending on the situation, and let them know that this is something I live with, and I’m proud and happy to be a role model for them, and I am there to do anything I can to support them. I am not a mind reader, so please keep me updated on anything I can do. So that’s my approach to it, like I want to notice and I want to celebrate their identities and reinforce that throughout the course. I teach, primarily online, asynchronous, so it’s woven into my discussions, into the conversations we’re having, into my grading, into the types of resources I share with students. And it’s not disability I want to eliminate, it’s the need for that letter eventually, right? Like everything is built into my course already, I feel like I’ve done the right thing when I’m able to notice and celebrate and thank that student for sharing that with me and let them know it’s baked into the course for all students. The last thing I want to say about this is one thing I don’t like about UDL is when we say, here, “We can do this for ADHD students,” and people say, “Oh, and Isn’t it lovely that it’s good for everybody.” Two things can be true. Let’s let it be just good for ADHD students, that’s good. That’s good on its own. It’s great on its own. And I recognize that we want to motivate people to see the many benefits of this. And it’s good for everybody is a lovely thing. But I also want us to say that, like, “If it was just good for ADHD students, that would be wonderful, too.” So those two things are happening at the same time for me, and I think that’s important to mention when we talk about UDL.

Rebecca: I appreciate you pointing out these complexities, that multiple things can be true at the same time. Now that comes up a lot in the accessibility work that I do as well. So we always wrap up by asking, what’s next?

Karen: This is coming out in January, so I’m really excited to get the book out into the world, and hearing how people are going to react to it and use it will be exciting for me. The other thing I’m working on now is I’m shifting a bit from climate change mitigation to adaptation in my focus, which is to say, I’m always very mindful when I talk about the climate stuff. We need folks who are working to prevent climate change, and I want people who are doing that to keep doing that. I am feeling called to focus more on adapting to some of the worst impacts that we’re seeing already happening. And I’m really feeling curious about things like the fact that we have hundreds of colleges in coastal areas that we don’t know if they will be able to stay there. So I’m starting to take some classes on things like forced migration related to climate change, because my sense is nobody in higher ed is talking about this, or very few people, which is very understandable. I feel called to do that. I want to support campuses that might need to relocate, students who might need to relocate due to climate change, and I very much want to, in particular, help support disabled folks who are part of those changes, and to recognize that our ADHDers are, I think, the creative folks that we need to be leading a lot of the changes that we will need to be making in the next few decades, in this very volatile era. So one of our greatest strengths is that creativity piece. We don’t just think in terms of what has already been proven. We design and create new worlds and new ideas. I think that’s why I’m able to do that work well, and it’s a little disconcerting for some people, but I feel like it needs to get done, and it’s something I’m feeling curious about. So leaning into that more as well.

John: Certainly an important issue to be focusing on in a country where we need far more of a focus on climate change right now. Well, thank you. I very much enjoyed reading your book. I think it would be a great book for reading groups, for any faculty member to learn more about a non-trivial share of the students they’re working with.

Karen: The number that I use in the book is 5 to 10% but I’ve had classes where up to 40% of my students disclose ADHD, so I think that 5 to 10% is the tip of the iceberg, and I also think the vast majority of our students stop outs and dropouts are probably undiagnosed ADHD. If I’ve got anybody out there who’s connected to enrollment management, I think you’ve got a huge opportunity here to help students persist and complete by considering that lens of undiagnosed ADHD and higher ed’s failure to adapt to that as a big, big opportunity.

Rebecca: Well, thanks so much for joining us. We always enjoy talking to you, Karen, and sharing your work.

Karen: I am so grateful for both of you, again, the fact that you are able to persist and keep doing this is such a testament to who you are, and so needed in our world and our very rapidly changing higher ed so thank you for doing the work that you do. Action is the antidote to despair. So everybody’s got to find their small actions or medium or big actions that they can take to help make a difference. You don’t have to save the world, you just got to do your part.

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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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