This proposal introduces an innovative teaching approach that leverages Artificial Intelligence (AI) agents to create immersive, experiential simulations for business and management education. The integration of AI agents in classroom simulations provides unprecedented opportunities for active learning, enabling students to interact with AI-powered “business units” (e.g., marketing, finance, operations) that adapt in real time to student decisions. Through the creation of custom GPT models, educators can design responsive simulations that adjust complexity, deliver instantaneous feedback, and simulate real-world business challenges. This session will equip participants with foundational knowledge on AI agent design and use, as well as a hands-on demonstration of building and running a custom simulation. Discussion will include best practices, prompt engineering, and ethical considerations tied to AI usage in the classroom. By shifting away from lecture-heavy teaching toward active, problem-based learning, participants will discover how AI-driven simulations can enhance engagement, foster higher-order thinking, and mirror the complexities of modern organizational environments. This workshop provides tangible takeaways, including an “agent blueprint” and sample prompts, for immediate application in management courses and beyond.
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.
