Teaching Institute: Simulation-Based Learning in the Age of AI

The lecture presents a conceptual framework linking learner characteristics, learning processes, and outcomes in simulation‑based learning. It summarizes experimental and meta‑analytic findings on prior knowledge, epistemic activities, scaffolding, and feedback, and highlights how artificial intelligence can support data analysis and provide adaptive, personalized instructional support across domains in higher education.