Research in Enactive Games, AI, and Learning (REGAL) Lab

Projects

Our research of digital game-based learning focuses on using an integrative approach to design and examine scalable game and participatory simulation based learning systems that comprise learning-oriented game mechanics, design-based pedagogy, data-driven knowledge tracing, and adaptive learner support. Current projects include: "E-Rebuild" - Mathematical Thinking and Learning via Architectural Design and Modeling (Ke as PI, Funded by National Science Foundation, ; ), Virtual-Reality-Based Social and Cognitive Skills Training for Children with High Functioning Autism (Ke as PI, Funded by , Grant #201400178; ), and Game-based Assessment and Support of STEM-related Competencies and Interest (Ke as Co-PI, Funded by ).

We design and study inclusive and immersive e-learning environments that promote engaging and effective learning interactions for a diversified learner population. The project of MILE (鈥淢ixed-Reality-Integrated Learning Environment鈥) (Ke as PI, Funded by ) aims to study the design model and effects of an AI-infused, virtual world-based training platform to provide responsive teaching practice to preservice teachers and STEM graduate teaching assistants. Integrating 3D virtual reality, LLM-driven virtual human, and body sensory technology, this training platform for teaching will enable student instructors to practice, observe, and reflect on teaching in a variety of instructional settings, and it will provide them with a deep understanding of learning and teaching strategies through active experimentation and problem solving. This project builds on an earlier project of (Ke as PI, Funded by , Grant #200800124) that utilizes qualitative and quantitative techniques to explore the impact on learning and success of online pedagogies and contexts for students living in rural and urban areas.