Computer Science and Engineering
Assistant Professor of Electrical Engineering and Computer Science, College of Engineering and Assistant Professor of Information, School of Information
My research is to support more people learn in effective ways. I draw techniques and theories from Human-Computer Interaction, Learning Sciences, and Artificial Intelligence to develop computational methods and systems to support scalable teaching and learning. There are several directions in my research that draw on data science techniques and also contribute to interdisciplinary data science research, 1) data-driven authoring techniques of intelligent tutoring systems, with application domains in UX education and data science education 2) AI-augmented instructional design and the use Human-AI collaborative techniques in instructional design.