Generative AI in Teaching II: Applied Skills and Use Cases

Building on the first session in the series of Generative AI and Teaching, this interactive session highlights applied skills and practical use cases. Participants will practice effective prompting, explore discipline-specific scenarios, and consider assignment design strategies. Examples will touch on advanced features (custom GPTs/GEMs, Canvas Mode, Deep Research Mode, agent mode) related to teaching.

Part II of an Introduction to Generative AI in Teaching Series by John Schumacher, Professor of Sociology, Anthropology and Public Health and a USM Generative AI Pedagogy Fellow for 2025-26. Whether you have already begun exploring AI for your teaching and for student learning, are an AI-skeptic, or are somewhere in between, joining Dr. Schumacher and your UMBC colleagues for these hands-on workshops will help you to deepen your understanding of how AI works, some of the ethical concerns of AI-usage, and when and how to use which GenerativeAI tools. This is a reprise of the workshop held in October and is offered in person or online.