Abstract: Higher education faces mounting pressure to prepare graduates for increasingly complex professional environments, yet resource constraints limit opportunities for authentic workplace skill practice. This article examines how generative artificial intelligence (GenAI) can scale experiential learning through immersive role-play simulations across professional disciplines. Drawing on a pedagogical framework developed by Liu et al. (2025) at the National University of Singapore, this analysis explores the organizational implementation challenges, evidence-based design principles, and strategic considerations for deploying AI-powered simulations in competency-based education. Through examination of implementations in legal, nursing, and business education, the article synthesizes practical insights for educational leaders navigating the integration of large language models into professional skills training. The analysis addresses prompt engineering complexity, faculty development needs, assessment validity, and ethical considerations while identifying pathways toward scalable, authentic learning experiences that reduce the theory-practice gap in professional education.
Powered by the WRKdefined Podcast Network.
Sponsors
