Adaptive Learning

Our main research themes focus on student and domain modeling, where we estimate student knowledge and domain structure from student answers; instructional policies, which involve algorithms for selecting appropriate questions for a particular student; and the design and evaluation of learning environments, covering general methodological issues and specific case studies. We also research introductory programming, problem-solving, and task difficulty. The overarching goal of this work is to make educational systems personalized and adaptive to the needs of individual students, an interesting area at the intersection of basic research and wide-ranging applications.