I am an associate professor of Educational Technology at University of Kansas. I got my B.S. and M.S. in Earth Science (focusing on astronomy) from Seoul National University, and got my Ph.D. in Educational Computing from University of Illinois at Urbana-Champaign.
After getting my Ph.D., I worked at National Center for Supercomputing Applications (NCSA) as a senior research programmer. Before I came to KU, I worked at Massachusetts of Institute of Technology (MIT) as a research associate. While working at MIT, I participated in various educational data mining research projects that investigated educational benefits of a Web-based physics tutoring environment called MasteringPhysics.
I am interested in applying innovative technologies to Science, Technology, Engineering and Mathematics (STEM) learning. I developed prototypes of Web-based and mobile physics learning environments that can improve student learning of Newtonian physics concepts. These days, I am focusing on predictive learning analytics and educational data mining techniques that can accurately estimate the ability of students learning in a Web-based learning environment.