Young Jin Lee, Ph.D
Young-Jin Lee is an Assistant Professor of Educational Technology at the University of Kansas (KU). He received his doctorate in Educational Psychology focusing on Educational Computing from the University of Illinois at Urbana-Champaign (UIUC), and participated in various research projects at the National Center for Supercomputing Applications (NCSA) and Massachusetts Institute of Technology (MIT) before joining at KU. His research interests include interactive learning environments, educational use of computer simulations and mobile learning.
Joseph R. Pearson Hall
University of Kansas
1122 West Campus Rd
Lawrence, KS 66045-3101
Constructivist learning technologies; computerized tutoring systems; computer simulations; mobile learning environments; STEM (Science, Technology, Engineering and Mathematics) education
MIT Postdoctoral Fellowship
2005 - 2007
Lee, Y. (2015). Analyzing Log Files to Predict Students’ Problem Solving Performance in a Computer-Based Physics Tutor.
Lee, Y. (2015). Developing iPad-based Physics Simulations that Can Help People Learn Newtonian Physics Concepts.
Lee, Y. (2012). Developing an efficient computational method that estimates the ability of students in a Web-based learning environment.
Lee, Y. (2011). Utilizing formative assessments to guide student learning in an interactive learning environment.
Lee, Y. (2010). Developing a mobile physics learning environment based on physics misconception research and e-learning design principles.
Lee, Y. (2010). Effects of instructional preparation strategies on problem solving in a Web-based learning environment.
Lee, Y. (2010). Empowering teachers to create educational software: A constructivist approach utilizing Etoys, pair programming and cognitive apprenticeship.
Palazzo, D. J, Lee, Y., Warnakulasooriya, R., & Pritchard, D. E (2010). Patterns, correlates, and reduction of homework copying.
Pritchard, D. E, Lee, Y., & Bao, L. (2008). Mathematical learning models that depend on prior knowledge and instructional strategies.
Lee, Y., Palazzo, D. J, Warnakulasooriya, R., & Pritchard, D. E (2008). Measuring student learning with Item Response Theory.