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.
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
- Learning Analytics
- Educational Data Mining
- Constructivist learning technologies
- Computer simulation and games
- Mobile learning
- STEM (Science, Technology, Engineering and Mathematics) education
Lee, Y. (2015). Analyzing Log Files to Predict Students’ Problem Solving Performance in a Computer-Based Physics Tutor. Journal of Educational Technology & Society, 18(2), 225–236.
Lee, Y. (2015). Developing iPad-based Physics Simulations that Can Help People Learn Newtonian Physics Concepts. Journal of Computers in Mathematics and Science Teaching, 34(3), 299–325.
Lee, Y. (2012). Developing an efficient computational method that estimates the ability of students in a Web-based learning environment. Computers & Education, 58(1), 579-589.
Lee, Y. (2010). Effects of instructional preparation strategies on problem solving in a Web-based learning environment. Journal of Educational Computing Research, 42(4), 385-406.
Palazzo, D. J, Lee, Y., Warnakulasooriya, R., & Pritchard, D. E (2010). Patterns, correlates, and reduction of homework copying. Physical Review Special Topics: Physics Education Research, 6(010104). DOI:10.1103/PhysRevSTPER.6.010104
Pritchard, D. E, Lee, Y., & Bao, L. (2008). Mathematical learning models that depend on prior knowledge and instructional strategies. Physical Review Special Topics: Physics Education Research, 4(010109). DOI:10.1103/PhysRevSTPER.4.010109
Lee, Y., Palazzo, D. J, Warnakulasooriya, R., & Pritchard, D. E (2008). Measuring student learning with Item Response Theory. Physical Review Special Topics: Physics Education Research, 4(010102). DOI:10.1103/PhysRevSTPER.4.010102