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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

 

How Will Generative AI Change My Course (GenAI Checklist)?

With the growing prevalence of generative AI applications like ChatGPT and the ongoing discussions surrounding their integration in higher education, it can be overwhelming to contemplate their impact on your courses, learning materials, and field. As we navigate these new technologies, it is crucial to reflect on how generative AI can either hinder or enhance your teaching methods. To support instructors in this endeavor, CATL created a video presentation and checklist designed to help you assess the extent to which generative AI will affect your courses and provide guidance on next steps for moving forward.

How Will ChatGPT Change My Course – CATL Presentation Slides (PDF)

Checklist for Assessing the Impact of Generative AI (ChatGPT, etc.) on your Course

View the Checklist for Assessing the Impact of Generative AI as a PDF.

Step One: Experiment with Generative AI

  • Experiment with ChatGPT or a similar application by inputting your own assignment prompts and assessing its performance in completing your assignments. Consider using a de-identified email account when doing so.
  • Research the potential benefits, use cases, limitations, and privacy concerns regarding generative AI to gain a sense of the potential applications and misuses of this technology.

Step Two: Review Your Learning Outcomes

  • Reflect on your course learning outcomes. Which outcomes lend themselves well to the use of generative AI and which skills go beyond the current limitations of AI? Keep this in mind as you move on to steps three and four, as the way students demonstrate achieved learning outcomes may need to be adjusted in course assignments/activities.

Step Three: Assess the Extent of AI Use in Class

  • Assess to what extent your course or discipline will be influenced by AI advancements. Are experts in your discipline already collaborating with tools like ChatGPT? Will current or future careers in your field work closely with these technologies?
  • Determine the extent of usage appropriate for your course. Will you allow students to use it all the time or not at all? If students can use it, is it appropriate for only certain assignments/activities with guidance and permission from the instructor? Be specific and clear with students and teach them how to cite ChatGPT.
  • Revisit your learning outcomes (step two). After assessing the impact of advancements in generative AI on your discipline and determining how the technology will be used (or not used) in your course, return to your learning outcomes and reassess if they align with course changes/additions you may have identified in this step.

Step Four: Review Your Assignments/Assessments

  • Review your assignments and evaluate whether revisions are needed to make them more resistant to generative AI or to incorporate generative AI collaboration. Which assignments are vulnerable to applications like ChatGPT and which ones can stay as is?
  • Provide an alternative for students who choose to opt-out of working with generative AI due to legitimate concerns regarding privacy and accessibility. This only applies if you choose to incorporate generative AI into an assignment.

  • View this CATL blog post on strategies for creating “generative AI-resistant” assessments for recommendations that focus on avoiding generative AI usage and view this resource on what aspects ChatGPT struggles to do.

Step Five: Update Your Syllabus

  • Add a syllabus statement outlining the guidelines you’ve determined pertaining to generative AI in your course. You can refer to our syllabus snippets for examples of ChatGPT-related syllabi statements.
  • Include your revised or new learning outcomes in your syllabus.

Step Six: Prepare to Address Misuse

  • Develop a plan for potential instances of suspected misuse. Your syllabus will be a valuable resource to communicate those expectations and boundaries to students.
  • Address and discuss your guidelines and expectations for generative AI usage with students on day one of class.

Step Seven: Seek Support and Resources

  • Engage with your colleagues to exchange experiences and best practices for incorporating or navigating generative AI.
  • Stay informed about advancements and applications of generative AI technology.

Need Help?

CATL is available to offer assistance and support at every step of the checklist presented above. Contact CATL for a consultation or by email at CATL@uwgb.edu if you have questions, concerns, or perhaps are apprehensive to go through this checklist.