Faculty at teaching-intensive institutions are constantly balancing the need to create engaging, rigorous learning activities with limited time and heavy teaching loads. This interactive session shares a practical, step-by-step approach to using AI to transform basic course materials into narrative-based case studies. Using an insulin signaling case study from my introductory biology course as an example, I will show how a simple Q&A activity evolved into an engaging case study that incorporates clinical data. Participants will learn to refine AI prompts, evaluate outputs, and make pedagogical choices that support student engagement while maintaining scientific rigor, with applications across STEM disciplines.
