This highly interactive session explores how artificial intelligence (AI) can be leveraged to create personalized learning experiences for students through dynamic case studies. Using an unfolding case study approach, instructors can adjust each installment throughout the course based on team input, fostering deeper engagement and tailored learning outcomes. The session demonstrates how AI-driven tools can analyze student feedback, identify learning gaps, and adapt case materials in real-time to match student needs. Participants will gain practical strategies for integrating AI into their curriculum to enhance experiential learning and student-centered teaching. The approach highlights the innovative integration of AI to facilitate adaptive, hands-on educational methodologies while promoting inclusivity and student-centered practices.
This session is part of the Teaching and Learning Conference (TLC@AOM). Space is limited; separate complimentary TLC@AOM pre-registration on a first-come, first-served basis is required. The TLC@AOM registration deadline is 27 July 2025, unless sold out. Register for TLC@AOM.
