Min Chi is a Chancellor’s Faculty Excellence Program cluster hire in Digital Transformation of Education. Chi, an assistant professor in the Department of Computer Science, seeks to develop effective interactive learning technologies and to explore how people learn. To reach these goals, she has taken both data-driven and theory-driven approaches, with work focusing on interactive learning technology, machine learning, learning science and cognitive science. She is interested in applying various data mining and machine learning algorithms to find meaningful patterns from various human-computer interaction datasets; and using these results to design more effective learning technologies, in order to have a deeper understanding of how people learn.
Previously, Chi was a postdoctoral fellow in the Machine Learning Department in the School of Computer Science at Carnegie Mellon University, and then in the Human-Sciences and Technologies Advanced Research Institute in the School of Education at Stanford University. She received her master of science and Ph.D. from the Intelligent Systems Program at the University of Pittsburgh and her bachelor’s degree in information science and technology from Xi’an Jiaotong University in Xi’an, China. She received the Best Paper Award at the Intelligent Tutoring Systems Conference and the James Chen Best Student Paper Award at the User Modeling, Adaptation and Personalization Conference in 2010. She also received the Best Student Paper Award at the 2008 Intelligent Tutoring Systems Conference.