Research in Enactive Games, AI, and Learning (REGAL) Lab
Led by Dr. Fengfeng Ke, the REGAL Lab explores the future of learning through the integration of enactive experiences, game-based environments, AI-driven personalization, and immersive simulations. Bridging the learning sciences, computer science, and design, the lab investigates how human-AI collaboration can support enactive, personalized, and collaborative learning.
Recent News
LAK26: New poster
Capabilities & Limitations of LLMs as Human Collaborators in Computational Thinking Behavior Analysis
ICSL26: New publication
From Practice Partner to Co-Learning: Designing Role-Fluid AI Partnership for Skills Development