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Generating Case Studies

This video offers a demonstration of using AI to generate Case Studies for classroom use. Case Studies are real or invented stories that include an educational message or recount events, problems, dilemmas, and theoretical or conceptual issues that require analysis and/or decision-making. Case-based teaching simulates real world situations and asks students to actively grapple with complex problems. When prompting AI to generate a Case, it is important to specify the learning objectives of the course or assignment, share as much information about the assignment as possible, and provide details about the structure and parameters of the desired case. The prompts used in this video is provided below and can be adapted for each teaching context.

Prompt 1: Create a short case study (500-600 words) for an undergraduate environmental science course that illustrates a real-world situation involving coastal communities facing rapid sea level rise due to climate change. The case study should include: background context, a central decision point that requires weighing environmental, economic, and social trade-offs, and three guiding discussion questions that encourage analysis, evaluation, and problem-solving.

Prompt 2: A 16-year-old high school student, recently placed in foster care, is exhibiting signs of depression and academic disengagement. The school social worker is coordinating with teachers, the foster parent, and a community mental health provider to develop a support plan. Please generate a new case study with the same structure, tone, and complexity, but focus on the topic of elder care in a low-income urban setting. Keep the pacing and style similar and include a comparable decision point that invites discussion about ethical dilemmas, resource limitations, and interagency collaboration.