Tag: Copilot
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Assessment and Assignment Guidance in the GAI Era
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CATL is often asked questions about how to approach assessments in the wake of easy access to generative artificial intelligence (GAI). We hope to crowd-source suggestions and examples from our own instructors so that we can build a repository of work from the UWGB community in Canvas. Please take our GAI Assignment Repository survey if…
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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.
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Dispelling Common Instructor Misconceptions about AI
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Staying updated on the rapidly evolving world of generative artificial intelligence (GAI) can be challenging, especially with new information and advancements seemingly happening in rapid succession. As tools like ChatGPT have taken the world by storm, many educators have developed divergent (and strong!) views about these technologies. It can be easy to get swept up…