Category: Teaching & Learning Resources
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Sample Assignments for Different Approaches to GAI Use
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In a previous CATL article, we recommended using the traffic light model to guide students on the appropriate use of generative AI (GAI) in assignments and course activities. Assuming you’ve already included a policy on GAI in your syllabus, it’s also important to provide clear instructions in your assignment descriptions. Below are some examples of…
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Up and Running with Remote Group Work
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How can we design collaborative activities that are a quality learning experience for students? This post provides some considerations for designing group work for student success, how to assess group work, and a few tools to consider for facilitating such collaborative projects.
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Generative Artificial Intelligence (GAI) and Acknowledging or Citing Use
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UW-Green Bay’s libraries have an excellent student-facing webpage on how to acknowledge or formally cite the use of GAI. This blog is intended to supplement that resource with information more specific to instructors. Professors will be vital in helping students understand both the ethics and practicalities of transparency when employing GAI tools in our work.…
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Indicating Generative AI Assignment Permissions with the Traffic Light Model (Red Light, Yellow Light, Green Light)
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CATL recommends using the red, yellow, and green light approach to clearly label what level of generative AI (GAI) use is permitted for each of your course assignments. The traffic lights will be useful, but students will also need precise written instructions to supplement them on each assignment’s instructions. In general, you should include: a)…
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How Will Generative AI Change My Course? (GAI Checklist)
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CATL has developed a checklist to help instructors assess the impact of these tools on their courses, learning outcomes, and assignments, offering guidance for making strategic decisions and setting clear expectations in the classroom. For further assistance, instructors can schedule a consultation or reach out to CATL via email at CATL@uwgb.edu.