Youngjin 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
ELPS 301: Instructional Technology in Elementary/Middle Education
ELPS 302:Instructional Technology in Middle/Secondary Education
ELPS 811:Constructivist learning technologies
ELPS 712: Instructional Media Development
ELPS 810: Multimedia Learning
- 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. (2011). Utilizing formative assessments to guide student learning in an interactive learning environment. Journal of Educational Technology Systems, 39(3), 245–260.
Lee, Y. (2010). Developing a mobile physics learning environment based on physics misconception research and e-learning design principles. Journal of Computers in Mathematics and Science Teaching, 29(3), 307-326.
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.
Lee, Y. (2010). Empowering teachers to create educational software: A constructivist approach utilizing Etoys, pair programming and cognitive apprenticeship. Computers & Education, 56(2), 527–538.
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
Selected Awards & Honors
MIT Postdoctoral Fellowship
2005 - 2007