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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