Generative Artificial Intelligence: Updates and Articles for Instructors

Welcome to our GAI resource-sharing blog page! Here you’ll find some of the latest updates and articles on generative AI, curated especially for faculty and instructional staff. While there are numerous resources available out there, CATL will share a select, timely sample of articles and perspectives to help instructors stay informed about new changes in AI technology and education.

For more in-depth, instructor-focused articles on generative AI by CATL, explore our AI Toolbox Articles.

Table of Contents

Generative AI Tools Directory

Stay updated on the different AI tools being created and discover what your peers or fields might be using!

(Resources in this section are updated biannually)

May 2023 – June 2024

  • Artificial Intelligence and the Future of Teaching and Learning, May 2023. This report by the Office of Educational Technology provides insights on how AI can be integrated into education practices, and recommended responses for educators.
  • The AI Index Report: Measuring trends in AI, April 2024. Created by the Institute for Human-Centered AI at Stanford University, this report provides an analysis of AI trends and metrics, including important insights into the current state and future direction of AI for educators grappling with the rapidly evolving technology and what it means for their teaching practices.
  • AI in 2024: Major Developments & Innovations, Jan. 3, 2024. This article provides a timeline of AI developments during 2023 and newest updates in 2024.
  • 2024 AI Business Predictions, 2024. This report by PwC describes how businesses are preparing for and incorporating AI, with predictions on future trends and AI strategies in the corporate world.

Monthly Resources for Educators

(Resources in this section are updated for each month)

June 2024

Tips for Teachers

  • If you haven’t signed into Copilot with your UWGB account, now is the time! Microsoft Copilot, accessible through any browser and soon integrated into Windows 11, avoids using your personal email, which makes it a better alternative for classes. It doesn’t require providing, for example, a personal cellphone number for use, and it is available to all UWGB faculty, staff, and students with an institutional login and ID. Copilot also offers enhanced data protection when logged in using your UWGB account, although FERPA-protected and personally identifiable information should still not be entered. Watch this short video on how to log in. Remember, use any AI tool responsibly and always vet outputs for accuracy.

Latest Educational Updates

  • Latest AI Announcements Mean Another Big Adjustment for Educators, June 6, 2024. This article from EdSurge recaps some of the latest AI advancements that will heavily impact education and provides advice from instructors and ed tech experts on how to adapt.
  • AI Detectors Don’t Work. Here’s What to Do Instead, 2024. MIT’s Teaching & Learning Technologies Center critiques AI detection software and suggests better alternatives. The article advocates for clear guidelines, open dialogue, creative assignment design, and equitable assessment practices to effectively engage students and maintain academic standards.

May 2024

Tip for Teachers

  • Subscribe to the “One Useful Thing” blog by Ethan Mollick, an Associate Professor at the Wharton School of the University of Pennsylvania and Co-Director of the Generative AI Lab at Wharton.

Latest Educational Updates

Latest AI Tech Advancements

My Resistance (and Maybe Yours): Help Me Explore Generative AI

Article by Tara DaPra, CATL Instructional Development Consultant & Associate Teaching Professor of English & Writing Foundations

I went to the OPID conference in April to learn from colleagues across the Universities of Wisconsin who know much more than I do about Generative AI. I was looking for answers, for insight, and maybe for a sense that it’s all going to be okay.

I picked up a few small ideas. One group of presenters disclosed that AI had revised their PowerPoint slides for concision, something that, let’s be honest, most presentations could benefit from. Bryan Kopp, an English professor at UW-La Crosse, opened his presentation “AI & Social Inequity” by plainly stating that discussions of AI are discussions of power. He went on to describe his senior seminar that explored these social dynamics and offered the reassurance that we can figure this thing out with our students.

I also heard a lot of noise: AI is changing everything! Students are already using it! Other students are scared, so you have to give them permission. But don’t make them use it, which means after learning how to teach it, and teaching them how to use it, you must also create an alternate assessment. And you have to use it, too! But you can’t use it to grade or write LORs or in any way compromise FERPA. Most of all, don’t wait! You’re already sooo behind!

In sum: AI is everywhere. It’s in your car, inside the house, in your pocket. And (I think?) it’s coming for your refrigerator and your grocery shopping.

I left the conference with a familiar ache behind my right shoulder blade. This is the place where stress lives in my body, the place of “you really must” and “have to.” And my body is resisting.

I am not an early adopter. I let the first gen of any new tech tool come and go, waiting for the bugs to be worked out, to see if it will survive the Hype Cycle. This year, my syllabus policy on AI essentially read, “I don’t know how to use this thing, so please just don’t.” Though, in my defense, the fact that I even had a policy on Generative AI might actually make me an early adopter, since a recent national survey of provosts found only 20% were at the helm of institutions with formal, published policy on the use of AI.

So I still don’t have very many answers, but I am remembering to breathe through my resistance, which has helped me develop a few questions: How can I break down this big scary thing into smaller pieces? How might I approach these tools with a sense of play? How can I experiment in the classroom with students? How can I help them understand the limitations of AI and the essential nature of their human brains, their human voices?

To those ends, I’d like to hear from you. Send me your anxieties, your moral outrage, your wildest hopes and dreams. What have you been puzzling over this year? Have you found small ways to use Generative AI in your teaching or writing? Have your ethical questions shifted or deepened? And should I worry that maybe, in about two hundred years, AI is going to destroy us all?

This summer and next year, CATL will publish additional materials and blog posts exploring Generative AI. CATL has already covered some of the “whats,” and will continue to do so, as AI changes rapidly. But, just as we understand that to motivate students, we must also talk about “the why,” we must make space for these questions ourselves. In the meantime, as I explore these questions, I’m leaning into human companionship, as members of my unit (Applied Writing & English) will read Co-Intelligence: Living and Working with AI by Ethan Mollick. We’re off contract this summer, so it’s not required, but, you know, we have to figure this out. So if we must, let’s at least do it over dinner.

A colorful, geometric, and somewhat abstract illustration featuring buildings and streets covered with arrows, numbers, and the text "AI"

Generative AI and Assessments Workshop (June 28, July 18, Aug. 8, & Aug. 30, 2023)

Please join CATL for a virtual summer workshop focused on creating assessments in the age of generative AI (e.g., ChatGPT)! CATL facilitators will work with instructors to review their learning objectives, discuss the implications of emerging AI products, and brainstorm creative, high-quality, aligned, and feasible strategies for adapting course materials and assessments.

To participate in this virtual workshop, CATL asks that instructors bring a course syllabus with learning outcomes, ideas for at least two assessments for that course, and a willingness to engage in a reflective process that includes thinking about how generative AI technologies might impact those course materials. This workshop, “Generative AI and Assessments,” will occur three times throughout the summer months with more offerings to come in the fall. While registration is not required to attend, we encourage you to register today to receive a calendar reminder for the timeslot that works best for you!

Workshop Dates and Times:

All sessions are fully virtual and will meet via Microsoft Teams. Each workshop will be the same so please only sign up for one timeslot.

If you need accommodation for this virtual event, please contact CATL at CATL@uwgb.edu.

Register

 

Events on AI, Machine-Generated Content, and ChatGPT (Feb. 10, Feb. 17, Mar. 24 & Apr. 7, 2023)

Have you heard the term “ChatGPT” and wondered what everyone was talking about? Are you thinking about how artificial intelligence and machine-generated content could help you as a teacher or complicate your ability to assess true student learning? Experts from across UW-Green Bay are coming together to help you! Please read on to learn more about the sessions being offered in Spring 2023.

ChatGPT Workshop (Feb. 10 & 17, 8 – 9:30 a.m.)

We are excited to announce that the Cofrin School of Business, with support from CATL, is hosting a workshop on ChatGPT! Come learn about ChatGPT by Open AI. Join CSB faculty in this interactive workshop to experience the most advanced chatbot and discuss implications for teaching and learning.

The workshop is moderated by Oliver Buechse, Executive in Residence, Cofrin School of Business. It will be offered on two different Fridays, Feb. 10 and 17, from 8 – 9:30 a.m. in the Willie D. Davis Finance and Investment Lab on the first floor of Wood Hall. The workshops are free and open to all UWGB employees.

If you need an accommodation for any of the sessions that are a part of the “ChaptGPT Workshop” please contact Kathryn Marten (martenk@uwgb.edu).

AI, Teaching, & Learning Series (Feb. 17, Mar. 24, & Apr. 7, 11:40 a.m. – 12:30 p.m.)

UW-Green Libraries, CATL, The Learning Center, and UWGB faculty are all coming together to offer a series of three workshops on machine-generated content applications and artificial intelligence tools such as ChatGPT and their potential impacts on teaching and learning. Participants will have the option to attend this series in-person or via Zoom. 

Teaching and Learning in the Time of ChatGPT | Friday, Feb. 17, 11:40 a.m. – 12:30 p.m.

UW-Green Bay instructors with expertise in artificial intelligence and machine learning will introduce us to AI-content generating tools, like ChatGPT, and their potential uses and pitfalls. Join other instructors for an engaging discussion about the impact on teaching and learning and a brief opportunity to test the tools themselves. 

Writing Assignments and Artificial Intelligence | Friday, Mar. 24, 11:40 a.m. – 12:30 p.m.

ChatGPT and other text-generating tools have raised concerns among instructors whose curriculum relies upon writing assignments from creative writing to lab reports and research papers. In this session, we’ll focus on the implications of these tools on writing and pedagogy, assessment, and curriculum design.  

Designing and Managing Authentic Assessments | Friday, Apr. 7, 11:40 a.m. – 12:30 p.m.

Students may inevitably use artificial intelligence and text-generating tools, but there are strategies instructors can explore and use to alleviate instructional stress around student learning. In this session, we will explore strategies for planning and developing authentic assessments to help students actively engage in their learning. This session will also offer instructors resources to help navigate the issues surrounding artificial intelligence and discuss ways to create assessments that embrace or acknowledge the use of AI and text-generating tools.

If you need an accommodation for any of the sessions that are a part of the “AI, Teaching & Learning Series,” please contact Kate Farley (farleyk@uwgb.edu).

Evidence-Based Approaches to Promoting Academic Honesty

Academic honesty has always been a concern in higher education, but the proliferation of technology has changed the scope and nature of the problem. Students have access to more electronic means to cheat, including AI-generated papers and websites that provide access to test bank questions and answers. Meanwhile, professors can deploy competing technologies designed to search automatically for plagiarized content, lock down browsers during exams, or remotely proctor test-taking.

It should come as no surprise that there are ethical concerns about both academic dishonesty itself and the privacy and intellectual property issues raised by technologies intended to detect or prevent it. In fact, one Canadian professor recently taught an academic course on cheating, and he is a co-investigator on a large-scale study of college student motivations to pay others to do their work.

The SoTL literature on this topic often lags behind the technological advances, but there are some recent studies instructors may find helpful. Duncan and Joyner (2022) surveyed students and TAs about digital proctoring, and although their sample was not representative, their resulting article is definitely worth a read. They provide a nice overview of costs of benefits of the practice, and they also effectively summarize the literature on alternative assessment strategies faculty can employ. Another recent addition to the body of knowledge on academic honesty is a study of six relatively low-tech and brief methods to reduce cheating, such as allowing students to withdraw assignments. Again, there are some methodological issues with the research, but instructors may find the techniques and review of past research on them illuminating.

The issue of academic integrity is complex, multi-faceted, and rapidly evolving given its intersection with emerging technology. Additional examples of relevant SoTL research on the topic are included below. CATL will update this list as we are able. Feel free to contact us with suggested resources as well.

Additional Resources