Young Jin Lee, Ph.D

Young Jin Lee, Ph.D

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.

Associate Professor,
School of Education

Ph.D., Educational Psychology Specialty: Educational Computing, University of Illinois at Urbana-Champaign
M.Ed., Science Education, Seoul National University
B.S., Earth Science, Seoul National University
Related Terms

Contact Information


Joseph R. Pearson Hall
Room 413

University of Kansas

1122 West Campus Rd

Lawrence, KS 66045-3101


Research Interests

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.



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