Purpose

This activity empowers educators to harness AI tools in crafting tailored case studies, enhancing curriculum relevance and fostering deeper student engagement with real-world problems in their respective disciplines.


Instructions

Case studies in education provide students with real-world examples of how concepts and theories can be applied, helping them to develop critical thinking and problem-solving skills. However, sometimes fitting case studies are hard to come by. In this activity, we will take inspiration from Annie Prud’homme-Généreux’s articles for Faculty Focus. and use AI tools to create a case study specifically for your class and teaching needs.

  1. Choose a topic related to your course that you want students to learn more about through a case study assignment.
  2. Identify a real-world problem related to the topic. What is a real-world problem that students can grapple with in the case study? The problem should be complex enough to require critical thinking and problem-solving, but not so complex that it is overwhelming to students.
  3. Experiment with different AI chatbots (ChatGPT, Microsoft Copilot, Google Gemini, Claude) to generate the case study or parts of the case study.
  4. Compare the results and if needed, play around with the prompts you provide each tool to get your best result. Once you have generated the case study, be sure to revise and edit it carefully to ensure that it is accurate, complete, and engaging.
  5. OPTIONAL: Take it further! Try out the case study yourself, with a few colleagues, or with students to get feedback. Make any necessary revisions.

Follow your instructor’s directions for submitting this assignment to your LMS or elsewhere.

Citation:

Prud’homme-Généreux, A. (2024, April 3). Writing case studies using generative AI: Intimate debate case study. Faculty Focus. https://www.facultyfocus.com/articles/teaching-with-technology-articles/writing-case-studies-using-generative-ai-intimate-debate-case-study/

License

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From Chalkboards to Chatbots (Faculty Edition, Fall 2024) Copyright © 2024 by CELTT (University of Baltimore) is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License, except where otherwise noted.

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