Episode 55: Assignment Redesign with AI in Mind with Dr. Laura Dumin

WELCOME AND GUEST INTRODUCTION

Caleb Curfman: All right, welcome everybody to another episode of Assess Without the Stress. I’m your host, Caleb Curfman, and today I am very excited to continue our conversations around AI. We’ve looked at the tech side, we’ve looked at some concerns with maybe cheating and things of that nature. Now I want to look at what it means as we consider new types of assignments, new ways of demonstrating student learning, and at ways that can be a lot of fun, even including, perhaps, some use of AI. And this is being recorded as we begin a break for me, at least, in my teaching. It’s a time where I really like to think about what can I do next? And so, I am very happy to have Dr. Laura Dumin on today to discuss what is happening in her classes, as well as some things we can think about going forward. So, without further ado, welcome, Laura.

Laura Dumin: Hi, Caleb, thanks for having me.

Caleb Curfman: All right, and could you give us just a brief introduction of what you do? Because there’s a lot of things that you do.

Laura Dumin: There are a lot of things I do, yes. I am a professor at the University of Central Oklahoma in the English department. I’m the director of the technical writing program there. I just stepped down this past semester as one of the co-managing editors for the Journal of Transformative Learning. So I spent, I think, 4 years working with that, and I handle a lot of faculty-facing AI concerns on campus as well. I also have been working with faculty around the country to talk to them about AI and writing.

SUMMER REVISION AND ASSIGNMENT DESIGN

Caleb Curfman: Fantastic. I knew there was a lot. I did not know there was that much. You are busy. And so as we talked just briefly before I started recording, you have a small break in your teaching before the second half of the summer here, and so, in some ways, you’re in a place where you can be thinking about some of these things. What are you considering right now during this break? For example, right now, I am looking at what I just did in my last semester. And I was joking with my wife, saying it was great, but now I’m gonna change everything, because that just seems to be the way that it works in education sometimes, wanting to improve things, right?

So, what are you looking at right now, in terms of changes for your courses going forward? I’m asking about the summer and things that you are considering going forward in your teaching.

Laura Dumin: Sure. One of the nice things about finals week, and then about that summer break, is the opportunity to realize all of the things that you want to tweak, and to really have a deep think about it that sometimes you don’t get over the winter break. And I’ll be teaching some asynchronous classes in the summer and the fall, which is a modality that is not my usual when normally I’m face-to-face. So I’ve been thinking about with the asynchronous classes, how to engage students in ways that maybe matter less if they’re using AI or not. Because I think that’s always the big question people have is how do we make sure that students are doing what they say they’re doing?

So, the first paper that I'm having students in my Comp 2 class do is engaging with the student AI use policy on campus and putting together a definitional argument about what is academic misconduct, academic dishonesty, and then thinking about one issue in AI with education as a whole. So they're starting to engage with that policy. I'm hoping that's a way that they will think a little bit more deeply each time they do something about what the policy asks of them and how my guidelines are set up in class. And then I'm having students put together a podcast or a video that is a research project that then they are presenting orally in some way. And if they are using AI, such as NotebookLM, to build that podcast, that's fine.
If they don't want to use AI at all, they are welcome to build their own video, like what you might see on Instagram or TikTok. And use that instead. And then with the final paper, I'm having them build a meme. And again, it's a research paper that they are presenting as a meme, and then with both the podcast and the meme paper, they have to do an audience analysis. So who is your audience? Why did you put it together this way? What do you think they would want? What sources did you use? Why did you think that those sources would be good? So even if they are using AI, they still have to do that deconstructive part.
First, they have to do all the research to get to the AI moment, use AI to build the thing, and then, if they want to use AI to help them deconstruct it, that's fine. And by doing that, I'm saying these are places where AI might fit for you, these are places where it might not, and this is why, because this is what I want you to get out of doing the work yourself, this is where I think using AI is not going to harm your learning in any way. And I find that when I phrase things like that, students tend to be more receptive to using it or not using it based on their own comfort levels, instead of feeling like, “I feel stressed about this, and I'm just gonna offload all the work, because I don't see the point in it.”

DESIGNING ASSIGNMENTS WHERE AI USE MATTERS LESS

Caleb Curfman: Absolutely. There are a lot of good things there, but I want to first talk about your overall focus is really important. I want to make sure that hits home with the audience. You are looking for situations, ways of assessing where it does not matter as much if students do or do not use AI. And I think that’s such a refreshing perspective, because so much of the literature or, even the podcasts out there, it’s all worried about detection and stopping. And I think we need to be really honest with ourselves. It is not very easy, and I would almost go to impossible, but I’m an eternal optimist, so I won’t say impossible, to know for sure, especially in the asynchronous course.

And so, what led you to that? Was that trial and error? For me, I’ve been doing a whole bunch of different stuff since 2022, but how did you kind of come to this idea that we need to find a place where it maybe doesn't matter as much?

Laura Dumin: I think that comes from my overall philosophy of teaching. I hate to use that term, but for the most part, I don’t teach content-based classes. Writing classes are more about learning how to write well, learning how to think about what your audience needs, and how to meet those needs. And we’re thinking about ethos, pathos, and logos, so going back to that rhetorical triangle that people might remember from their undergraduate classes. And because of that, my goal has been, for the last 15 years, to help students find their own voices, and to find ways to make strong arguments that other people will listen to. And not feel put off by it. How do we say something hard without alienating our audience, kind of thing.

How do we use research to show that we actually understand the point, and we understand where our audience might be coming from as well? So because of that, and because I've been doing scholarship of teaching and learning projects for about a decade now, I think. For me, coming back into the classroom is really saying, okay, what do I want my students to learn? I want them to learn argumentation. I want them to learn how to participate as civically engaged citizens in their world, so if they read a story, they can go, oh, this sounds fake because I didn't see this, that, and the other, or this sounds like rage bait because of this. So, those kinds of things are really important to me.
And the way that AI fits into all of this also comes from a perspective of accessibility, specifically for me, thinking about neurodiverse students and how AI can be a helping tool for them. And I also have probably about 40% of my students who want nothing to do with AI. So, given that I've got this wide range of things I'm trying to do, for me, it's never been about policing. I don't want to have to try and figure out who is or isn't using AI. I want students to disclose, so I give points on assignments for disclosure: did you disclose? Did you give me the information I'm looking for? Were you what appears to be honest with me? Because obviously I can't know, right?
But they get points for that kind of thing, and that metacognition is important, too. And we also focus heavily on transformative learning here at University of Central Oklahoma. So, asking students before and after response questions that help them see what they've gained by doing an assignment, I think that also, in a way, helps to mitigate some of the AI use. So, I realized that was a big, long answer with a lot of stuff in it.

AI POLICY, DISCLOSURE, AND STUDENT CHOICE

Caleb Curfman: Yeah, that’s great, though. So many, so many avenues we can go. With that. You talk about not having content being kind of the focus within your courses because they are writing courses, it so naturally fits to then really work on process, and that’s really, as you’re going through your process: how do we get to this end piece, Right. And beyond that. With explaining to students why they’re doing something. I mean, I think we those of us in the scholarship of teaching and learning. In this area, we have understood that a huge part is motivation, and it’s that intrinsic motivation that you can have when you realize you’re doing something for a purpose, not necessarily for a grade, but it is going to help you going forward.

And I like how you frame, each of these assignments and with the first one, looking at the actual policy. I think that is fantastic, because we always put them in our syllabi, but how often do students actually read them and look at them beyond the maybe the surface glance that we see as we go through, right? And so. What do you anticipate, with that assignment. Do you think, and I'm just thinking out loud here, because I did a similar assignment for a government class, where students were looking at a certain law. One thing I was surprised with, and it'd be interesting to see if you might see this too.
Is students were finding ways to try to improve, the policy itself, and so I'm curious, with their evaluation of it, are you having them look at what it means for them, but also ways that they might see it improved or changed?

Laura Dumin: To an extent, yes, because there is a pre-reflection and a post-reflection, because this is a SoTL project that I started back in the fall. And, yes, some students say the policy is great, others say it’s really vague, I want to know what the penalties are going to be. Our policy is open. It allows faculty to put together whatever AI guidelines they want to in their classes, which means we can’t talk about penalties, necessarily. That’s up to the instructors themselves, but It is good for me to see what students are saying, because I was part of the group that put that policy together. And so if I can see how students are actually responding to it in the real world, we can see where it is effective and where it needs some work. That’s actually one of the things that I’m going to be looking at this summer as I work on an article about this.

Caleb Curfman: Yeah, and along with that, you had already mentioned a little bit about, maybe roughly 40% of your students maybe aren’t even wanting to touch it, and I will say, in my experience, I’m seeing the same thing, where some students, just I would say, just some people are very excited about AI. It doesn’t just, it’s not just students. Active users, maybe even every single day, multiple times a day. But there are also people that are very concerned about it for many very legitimate reasons. Whether it is privacy, whether it is environmental impact, whatever it is, there are concerns. And so with my assignments that I have, and I’m thinking about right now. I am making sure I have two different avenues, right?

Almost like a you come to this Y in the road, and here is a way that you could utilize AI if you want, but here is a way where you can absolutely go away from it. One thing that I am going back to I used to, and for context, the majority of my classes are now asynchronous courses. I teach some in person, but also a majority online. And in the in-person classes, I would have students Do reading journals, but these were written-down reading journals. They were taking notes. Some students, I gave the option for them to do, audio notes, but as they're reading through, in my classes, I like to have at least one book length, and it's they're always open access, or much older, right, with history.
Most of our stuff is in the public domain, so it's a lot easier to do that. But for example. Students will be reading the autobiography of Benjamin Franklin, and I have them annotate that in a way. I had started moving completely away from handwritten, and for many reasons, accessibility being one of them, right? I wanted to make sure there were many different options. But I'm putting that option back on the table, because there are some students who still will print out the entire thing, even though it's free online. They will they want to have that and work that way.
And so for me, one of the things I'm looking at this summer is, okay, as much as I want to lean in to a lot of the cool technology and the AI opportunities students can have with these assignments, I want to not forget about the students who want nothing to do with it, and are looking for a very analog approach to their education, even if they're taking it online. And so, that was just something that I am noticing, especially this last semester. And something I'm hoping to grow into a little bit. And so, that's one thing I'm thinking of. But beyond that. You talked a little bit about some of those other projects, and both of those seem to be a little more on the tech side, maybe embracing a bit more, right?
So we have we have one assignment where you are really thinking about AI in your course, thinking about the policy, thinking of how how it can be utilized, with the podcast, and correct me if I'm wrong, it was a podcast or a video, correct?

Laura Dumin: Right, so either if they want to use NotebookLM to build a podcast, they can, or if they don’t want to have anything to do with AI, they are welcome to just video themselves. In whatever format works for them, and turn that in instead.

SCAFFOLDING PODCASTS, VIDEOS, MEMES, AND UN-ESSAYS

Caleb Curfman: Okay, with that assignment, I’m curious, are you going to have, or what type of scaffolding are you having building up to those? Do you are you going to use any scaffolding with those assignments?

Laura Dumin: I’m still working on that. Because I think for almost all of our students, they at least have a smartphone. So, if nothing else, they can take a video of themselves, they can email it to themselves and then submit it to me. I will often get MP4 files from students who have just literally uploaded their video from their phone. And I’m not terribly worried about requiring them to do editing. So if they don’t feel like they’ve done a good job. If they want to redo it, the video is going to be somewhere between probably 4 to 8 minutes long. So, it’s annoying to redo it if they want to, but, it’s not the worst thing. I’m not bothered by that. I don’t know how much scaffolding needs to happen there, but with the NotebookLM, I am going to give a little bit more detail about here’s how you upload sources, here’s how you get the podcast, here’s how we play around with it. Because I think that’s going to be important for the students who maybe want to try it out and haven’t done that before. So, there will be that, and then with the memes I’m also looking at giving examples of, here’s how you just take a picture and edit it if you want to do it yourself, here’s how you go into your large language model and build a graphic.

Caleb Curfman: Yeah, that’s one thing that I have found to be, really helpful. Some call it creative assessment, some call it authentic assessment, depending on if it’s authentic to what your discipline is. In this case, digital communication, that’s going to be very important for your students. Scaffolding has been really helpful, not only for my students, but for myself, because I don’t, and I tell them right away, I am not an expert on how to make a video, how to make this, how to make that, and I give a lot of leeway in what students can do for their un-essay. That is kind of like the final assignment in my class, where they can choose whatever medium they want to present their research, and because my classes are history, they have to have some sort of historical argument.

And so it's similar to what a paper would have, but they need to have sources, they need to have, both secondary, so written by historians or books, and then also have primary sources. And one way I have scaffolded that, thinking of it more from a content-based course versus, what you're doing, is that they have to provide an outline, almost like a paper outline. What they would do with: okay, here's my thesis, and so on and so forth. But what has been so helpful for me in that is that I can see right away when an argument is not really an argument. And this is something that I've talked about a little bit before. But I think it's harder for students now to realize when you are trying to make a point.
it should be something that can be debatable. I think, and we can go a lot of ways, and personally, I think some of it is just the way society is right now, there's a lot of division, there's a lot of concern about saying something that might feel controversial. Being able to see that argument early on, and then give feedback to that student right away, just on that argument. There are multiple possibilities. So I give them a rubric where they self-assess, could somebody disagree with me? And it was a good way to get them to think. That's what I'm looking for.
Because, again, I think it's a challenging skill that I think many of us, and I'm speaking generally here, maybe take for granted that they have learned some of that skill earlier on before they get to our class. But being able to take a stance has been something. And so, going along with kind of my thought process this summer, I am revamping that a bit, to make it explicitly about the argument. It's going to be a short assignment, but a required assignment to lay it out there, and to evaluate, doing some of that metacognition. Could somebody disagree? And what would I say if somebody disagreed? And it's a way to get them to start thinking about, other aspects. Now I had Jason Guglia on a while ago, and he talked about the contrarian, right?
Having the AI be a contrarian, and I'm looking at ways to implement that to help them refine their arguments a bit. Throw their argument in, see what it has to say, and so I've been doing a little bit of talking there. I'm curious if you have any even suggestions for me, or thoughts about, what you're hearing there as well.

Laura Dumin: I’m writing all of this down. That’s where I’m starting. One of the things that I am doing with both of the projects is we have a textbook, and there are questions within the chapters on rhetoric about argumentation. And so students are answering questions in each chapter that lead up to the original draft, or to the rough draft, and then to the final draft. So I’m not just throwing them out there with nothing. I do want to make that clear. I think that wasn’t clear in the beginning. But I like the idea of going back at that rough draft point. I have them do a revision exercise that says, what is my argument? Have I made any logical jumps that aren’t clear? Here is my outline; this is, the thesis of each section.

These are the sources I'm using and how they're supporting things. So I do have them do that at the midpoint, but I like adding these questions of, can someone argue with it? And if they did argue with it. What would I say? How would I support my argument back? Because I love the idea of teaching them Some of it is media literacy, some of it is, human literacy, if you will: how do we be human with each other?

Caleb Curfman: Laura Dumin: So, I think I think I’m gonna figure out how to work those questions in, too.

Caleb Curfman: Absolutely, because I find that maybe it is just me, but I had some assumptions that an argument was understood, but arguments in different disciplines mean very different things. And working in a community and technical college. Many students are very science-minded, I call it, where it is: well, here is how this works, and that is the answer. I’ve made, jokes about it before on the podcast, but my wife is a very medically-minded, she’s an RN. There is a right and a wrong answer. But in certain classes, including yours, but specifically in historical arguments, there’s a lot of gray area. In fact, that’s where we live. We live in the gray area, and that’s what provides new scholarship.

Having students understand that it's okay as long as you're backing it with something, to take a little leap and try to make a unique argument, that's what we're looking for. So, no, that's fantastic.

TEACHING ARGUMENTATION, AI OUTPUT, AND RUBRICS

Laura Dumin: I never assume that my students have come in with argumentation skills, because I’m teaching first and second semester students about argumentation and writing. So we do spend a lot of time in that space of how do we make a good argument, and how much emotional pull can we add? I talk about the ASPCA commercials with “Angel” by Sarah McLachlan. I cannot. As soon as that song comes on, I’m changing the channel. It’s too emotionally heavy for me. So, we do talk about those things, and I think that’s one thing that AI doesn’t always do really well, which is also important for them, and I do have them doing, rhetorical analyses of the AI output. Was it helpful?

Because when we get into those places where they say, “oh, I just had Grammarly write this for me, because you can do that. It looks fine. Grammarly mentions Hamlet and mentions his dad, ergo, this must be a good argument. And then you have them actually try and parse through what the AI is putting out, and they realize that there isn't anything there. It's just you stage a home with a bunch of cardboard boxes and a sheet over it. That's not a bed.

Caleb Curfman: Exactly. Talking about analyzing AI outputs. That’s another assignment I did, and I’m just gonna be honest, I didn’t enjoy how it turned out. That’s one of the things with teaching. I think the best teaching comes when things don’t go well. You learn how to pivot very quickly. What happened was that I had a prompt, and I decided I was gonna do the prompt. And have the students use that prompt and have it create different essays. And it was in that semester, I learned that my writing rubric needed to be changed to do better than AI, because it was giving some pretty good scores. When they were analyzing it, what I was hoping they would catch on to is that it’s very generic, it doesn’t give strong examples.

It was a great teaching moment for me to look and say, I need to advance this, because now, we are at a place where we can ask more without adding a lot of burden to the students. And this is something I've seen you talk a little bit about as well, in terms of AI has moved the needle in some ways about what we look for in writing. And so that was maybe 2 years ago now, and I have revamped my rubric, and some of those things that seemed so important for us, I don't think are as important anymore.
For example, the area I put so much heavy emphasis on, the area was no spelling errors and similar surface issues, that isn't as important in a sense, because there are tools like Grammarly and those tools, we need to dig a little deeper. So, how have you seen, in your classes, kind of a change in student output, and has that changed your teaching at all?

Laura Dumin: I think so. I used to be more concerned with grammar, obviously, and now that’s only 5% of the total grade. Because they can go back in and fix it. But some of the things I’m looking at, and I realize some of these are subjective. Audience, remember, I’m a writing instructor. But I ask: Is your paper interesting? Have you made it interesting beyond just what the assignment asks you to do? Because AI doesn’t always give interesting papers. They’re often generic. They can be flat if students don’t know what they’re doing. I also ask, have you identified where you used AI? Because disclosure is part of all of my assignments.

This is a learning space, and I do expect disclosure because I want students to think about if using AI helped them, or hindered them, or if they would use these tools again. It's also a chance for me to learn what tools people are using and keep up with it. And then I ask, if you used AI, does your voice still shine through, even in the places where AI was used? Because they are allowed to use some of the text that the large language models give them; they just have to indicate where it is. And some students do a really good job of working with that text, and shifting the voice.
Other students leave that large language model information, just stick it right in the middle of their paper, and then keep going, kind of like how they'll stick a quote in and they won't really deal with it, right? And that's not a smooth and effective way of using AI. That's very jarring for the reader. So I am looking at if their voices shine through, and one of the other things I'm doing is all of the sources that students use, they are supposed to do annotated PDFs of them. So if they're using a book, they can take pictures of it, and then they can tell me what they got out of that quote or source.
With articles, they can turn them into PDFs and use the comments feature, or drag everything over into Word and use the comments feature. But I'm doing that because I'm trying to emphasize that the research is important, because AI will tell you that people are living on the moon right now, if you ask it. But, do you have any research to back that up? And I want students to get into the habit of not just accepting, oh, Perplexity gave me this summary, therefore it must be right. Because I found that Perplexity, again, it overstates things, and it misses some of the nuances, or it will assume nuances that aren't there. That was great.
Speaking of Jason Guglia, when I was trying to find some stuff on process, and I knew it was out there, and Perplexity was bringing back these summaries, and I thought, oh, this is great, and none of them were doing what Perplexity said they were doing. I was so mad. But it's that, how do we do the research? How do we make sure that the arguments that we are putting our name on are real? Because I think sometimes students don't think about that, because there is often very little negative response on the internet to people who put up fake videos. Right? It's I go into the grocery store, and I'm looking at a label, and I'm saying, oh, these ingredients are so bad for you. All of these food influencers who don't know anything about actual health.
And people will believe them, because they'll say, oh, I can't pronounce that ingredient, therefore it must be bad. Or they'll say, all GMOs are bad, without thinking about some of the spaces where perhaps genetically modified foods have saved communities, or something like that, right? And I just want students to understand that if I'm saying that this is my argument. I need to be able to stand, both feet, right on that line. I made this argument, it's real, and I've backed it up.

CLASSROOM AI EXAMPLES AND THE FUTURE OF LEARNING

Caleb Curfman: Yeah, and, to that. I have an example, just a short example, paper that I show my students in a political science class, looking at an introduction to government, comparative government. It was from an activity we did in class, actually. Early on, and this is maybe something that, if you haven’t tried this, I would encourage you to try it, listeners. We all have students that aren’t wanting to use AI. And I choose very carefully when and if I do, but I have, in the past, done a whole-class activity when we’re in person. I was using, I believe, ChatGPT, and I just put in, what is the ideal government? What is the ideal version of a government that would make sense, and we made the prompt together.

This is a great way to analyze AI without requiring your students to use it themselves, because some don't want to touch it, and that's totally fine. And it came up with a terrible result. Not that it was bad in terms of how it was written, it was very well written. It even had some really strong points. However, it was a great moment to teach what AI does, some of the basics of how it works, how it takes and predicts what people are wanting to hear. Specifically, it seemed to take the idea that, who are the leaders in the world that have been referenced the most? And therefore, that must mean it was good. It almost made something like a value assessment that more times cited means this was good.
And we could all imagine a very notorious leader from Germany came up as a strong leader. And it absolutely, freaked out my students. It was, it was almost, harmful to see what it was saying, and it showed why you don't take an assignment like this and I do have an assignment where they create what they think would be the perfect government, is it going to have a monarchy? Is it going to have this? This is why you don't just put it in and turn it in. Because if you turn something in. The reader, in this case myself, will believe that whatever you have turned in is your own thoughts.
I wish I had, a picture of some of the faces of the students, because it finally hit that this isn't just for, quote, an assignment. This is me making a stance about my own beliefs as a human, right? And that is a very, it's a troubling example, but I think it's a very important one to recognize that there is harm with this, right? Just going in blatantly thinking that it is always correct. So I think it's great that you're doing these assignments where you're having students, question it, and specifically explain how they're using it to still be able to stand behind their argument. Fantastic.
So, as we're kind of getting to the end of the conversation, I'm curious: what are the things that you are thinking? We've talked a lot about our summer process here. What are some of those bigger things you're thinking about right now in terms of AI in education? What are those things that excite you, maybe scare you a little bit? What are the things that you see going forward, knowing completely that no one is going to come back to this and say, “Laura said this, and it didn't happen, right? This is just this is just completely kind of a thought experiment. What are some of the bigger things you're thinking about right now?

Laura Dumin: I continue to think about AI as an accessibility tool, and how, for some students, this can be a real game changer. It can be a way to possibly increase retention by having students actually complete a course. instead of having anxiety stop them at the rough draft, or anxiety keep them from coming to class, and failing out. So I love those kinds of things still. I realize that there are biases, and there are issues, and, who has access to what, so there are lots of equity issues, too. But I think there are some really great things. The things that scare me, frustrate me, sadden me, are when I talk to my colleagues and they’re saying, my online classes are full of AI slop, I can’t get the students to care.

I can't get the students to do the work. They think I'm not gonna notice. And I feel like there's a real disconnect there, because if you're paying, $1,600 or $3,000, or whatever it is to take a course, yes, you want to pass it, but don't you want to learn something, too? To me, I'm not going into most of my classes not wanting to learn. But to be fair, I also understand that college is really expensive, and that sometimes students are gonna say, I don't understand why I have to take an ancient history class. What does that have to do with me being an engineer?

Caleb Curfman: Yeah.

Laura Dumin: And they’re not thinking about some of the arguments that maybe matter to them, if we look back at some of the ancient philosophers, that stuff still matters today. So, when I see things like when Einstein popped up last semester for all of five days, and you could do everything in your LMS from start to finish, and the student never had to touch it, that kind of thing saddens me more than scares me. Because I think that gets back to education as a transactional value as opposed to a human value. Or a civic value? So, I’m hoping, hoping that we can thread that needle and find a way to keep students engaged, even as AI continues to evolve around us.

And I'm hoping that we can find positive ways to engage with students who might otherwise have felt inadequate for the tasks that they're being asked to complete.

GRADING, STRESS, AND CONTRACT GRADING

Caleb Curfman: That’s wonderful. I would echo that, absolutely. And I would maybe even go one step further. I also hear the concern about students not caring, or however they choose to say it, or they’re just willing to use AI for it. I go back to this, and this is, warning: opinion. I think it’s because our grading system is broken. It has almost trains students to worry more about the A than about getting anything out of a course. And that’s a whole other day and a whole other conversation. There’s been some great work on grading, but I think, I see so many students come in with a fear of failure. I think, unfortunately, when people are scared, you’re grasping for that answer, and now we have that seemingly at our fingertips. So that sounds like part two with you later on.

Laura Dumin: I am considering contract grading for the fall. I’m looking at how to do that, and, the first day in my in-person classes when students walk in, I say, the only way you’re gonna fail my class is if you don’t do the work. If you do it, you’re at least gonna pass. I’ve also taken some grades away and made rough drafts more like, let’s have a conversation. You either did it or you didn’t do it, and here’s where you did well and didn’t do well. because I’m trying to lower the stress from grades. And a lot of things for me are also completion: did you take the time to do the things I asked you to do in the way I asked you to do them? Again, if you did, you’re gonna get the points. Yeah.

CLOSING AND CONTACT INFORMATION

Caleb Curfman: Absolutely. Well, thank you so much for your time today. I have learned a lot myself, I’ve taken some notes, and I hope, for you listeners as well, I hope you’re having these types of conversations on your campus, or with colleagues and friends as well. As we’re getting to this time, hopefully you have a little break between semesters to really think about the things that we don’t have the time to during the regular semester. I don’t know if I’ve mentioned it on here, but one thing that I do is keep a teaching journal.

And I go back to that at the end of the semester, so right now, I am not teaching this summer, and I can finally start thinking about the things I was frantically jotting down after a class or after a week. and hopefully find ways to improve. And so, Laura, where can people contact you? I will make sure to put it in the show notes as well, but if people have questions, thoughts, how can they contact you? Where can you best be found?

Laura Dumin: Sure! LinkedIn is a great place to find me. I also have a website. It is L-D-U-M-I-N-157 dot com, so ldumin157.com. And I’ve got some Creative Commons files up there. You can also see if you want to join the Facebook group that I run. It is meant as more of a learning community than a complaining community, and it goes back and forth, but we really do try and keep it in the learning space.

Caleb Curfman: Fantastic. Well, again, thank you so much. All right, thank you, listeners, as well. Remember to subscribe, share, and make sure to engage with the show notes, with the website, CalebCurfman.com. Always great to hear from you, and the questions and topics that you bring forward as well. As always, have a great day, and I’m so glad you are here.