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Youngjin Lee

Associate Professor

University of North Texas

Department of Learning Technologies

Email: Youngjin.Lee@unt.edu

Education

  • PhD, University of Illinois at Urbana-Champaign, 2003
    Major: Education
    Specialization: Educational Computing
  • MEd, Seoul National University, 1996
    Major: Science Education
  • BS, Seoul National University, 1994
    Major: Earth Science

Professional Positions

    Academic - Post-Secondary

  • Associate Professor, University of North Texas. University of North Texas. (2019 - Present).
  • Associate Professor, University of Kansas. University of Kansas. (2013 - 2019).
  • Assistant Professor, University of Kansas. University of Kansas. (2007 - 2013).
  • Research Associate, Massachusetts Institute of Technology. Massachusetts Institute of Technology. (2005 - 2007).
  • Senior Research Programmer, National Center for Supercomputing Applications. National Center for Supercomputing Applications. (2004 - 2005).

    • Professional

  • Research Scientist, Electronics & Telecommunications Research Institute. Electronics & Telecommunications Research Institute. (1995 - 1999).

Professional Memberships

  • Association for Computing Machineary. (2019 - Present).
  • International Educational Data Mining Society. (2014 - Present).
  • American Educational Research Associations. (2007 - Present).
  • Association for Educational Communications and Technology. (2007 - Present).

Teaching

Teaching Experience

    University of North Texas

  • LTEC 3260 - Web Authoring, 1 course.
  • LTEC 3530 - Data Communications, 1 course.
  • LTEC 5310 - Human Computer Interaction, 1 course.
  • LTEC 5420 - Web Authoring, 1 course.
  • LTEC 5421 - Advanced Web and Media Development, 2 courses.
  • LTEC 5510 - Technology Based Learning Environments, 2 courses.
  • LTEC 5610 - Analysis of Research in Learning Technologies, 6 courses.
  • LTEC 5702 - Applications of Artificial Intelligence in Learning Analytics, 1 course.
  • LTEC 6480 - Research Seminar, 1 course.
  • LTEC 6500 - Introduction to Quantitative Research in Learning Technologies, 1 course.
  • LTEC 6510 - Introduction to Research in Learning Technologies, 2 courses.
  • LTEC 6511 - Analysis of Research in Learning Technologies, 3 courses.
  • LTEC 6514 - Seminar on Advanced Research Topics in Learning Technologies and Information Sciences, 7 courses.
  • LTEC 6800 - Special Topics in Learning Technologies, 3 courses.
  • LTEC 6900 - Special Problems in Learning Technologies, 1 course.
  • LTEC 6950 - Doctoral Dissertation, 15 courses.

Teaching at Other Institutions

  • University of Kansas, ELPS 811 Constructivist Learning Technology, Spring 2019.
  • Univeristy of Kansas, ELPS 896 Dissertation Seminar, Spring 2019.
  • University of Kansas, ELPS 712 Instructional Media Development, Fall 2018.
  • University of Kansas, ELPS 998 Interactive Courseware Development, Fall 2018.
  • University of Kansas, ELPS 811 Constructivist Learning Technology, Spring 2018.
  • University of Kansas, ELPS 712 Instructional Media Development, Fall 2017.
  • University of Kansas, ELPS 998 Interactive Courseware Development, Fall 2017.
  • University of Kansas, ELPS 811 Constructivist Learning Technology, Summer 2017.
  • University of Kansas, ELPS 811 Constructivist Learning Technology, Spring 2017.
  • University of Kansas, ELPS 301 Educational Technology for Elementary/Middle Education, Spring 2017.
  • University of Kansas, ELPS 301 Educational Technology for Elemetary/Middle Education, Fall 2016.
  • University of Kansas, ELPS 712 Instructional Media Development, Fall 2016.
  • University of Kansas, ELPS 811 Constructivist Learning Technology, Summer 2016.
  • University of Kansas, ELPS 811 Constructivist Learning Technology, Spring 2016.
  • University of Kansas, ELPS 301 Educational Technology for Elementary/Middle Education, Spring 2016.
  • University of Kansas, ELPS 810 Educational Media Development, Fall 2015.
  • University of Kansas, ELPS 301 Educational Technology for Elementary/Middle Education, Fall 2015.
  • University of Kansas, ELPS 810 Educational Media Development, Fall 2014.
  • University of Kansas, ELPS 301 Educational Technology for Elementary/Middle Education, Fall 2014.
  • University of Kansas, ELPS 810 Educational Media Development, Summer 2014.
  • University of Kansas, ELPS 811 Constructivist Learning Technology, Spring 2014.
  • University of Kansas, ELPS 301 Educational Technology for Elementary/Middle Education, Spring 2014.
  • University of Kansas, ELPS 301 Educational Technology for Elementary/Middle Education, Fall 2013.
  • University of Kansas, ELPS 810 Educational Media Development, Spring 2013.
  • University of Kansas, ELPS 302 Educational Technology for Middle/Secondary Education, Spring 2013.

Directed Student Learning

  • Major Professor, Learning Technologies. (September 2023).
  • Doctoral Advisory Committee Member, Learning Technologies. (July 2023).
  • Doctoral Advisory Committee Member, Learning Technologies. (July 2023).
  • Major Professor, Learning Technologies. (July 2023).
  • Major Professor, Learning Technologies. (July 2023).
  • Major Professor, Learning Technologies. (July 2023).
  • Dissertation Defense Committee Member, Learning Technologies. (October 2022).
  • Dissertation Committee Member, Learning Technologies. (November 2021).
  • Dissertation Committee Member, Learning Technologies. (2021).
  • Major Professor, Learning Technologies. (August 2020).
  • Major Professor, Learning Technologies. (February 2022 - September 2023).
  • Major Professor, Learning Technologies. (February 2020 - August 2023).
  • Dissertation Committee Member, Learning Technologies. (September 2021 - May 2023).
  • Major Professor, Learning Technologies. (January 9, 2020 - May 2022).
  • Major Professor, Learning Technologies. (November 2019 - December 2021).
  • Dissertation Committee Chair, Learning Technologies. (2019 - August 2020).
  • Dissertation Committee Member, Learning Technologies. (January 2020 - July 2020).
  • Dissertation Committee Member, Learning Technologies. (2019 - March 2020).

Awards and Honors

  • Leading Light Award, University of Kansas. (2013).
  • Bob Frederick Faculty Award, University of Kansas. (2012).
  • MIT Research Laboratory of Electronics Research Fellowship, Massachusetts Institute of Technology. (2006).
  • MIT Physics Department Research Fellowship, Massachusetts Institute of Technology. (2005).
  • Conference Travel Award, University of Illinois at Urbana-Champaign. (2003).

Research

Published Intellectual Contributions

    Book Chapter

  • Hsu, Y., Meyen, E., Lee, Y. (2018). Understanding emotional analytics for student engagement: An instructional visual design perspective. Student-centered virtual learning environments in higher education. 70-102. Hershey, PA,

    • Conference Proceeding

  • Carter, E.S., Cockerham, D.P., Lee, Y. (2024). Gamification in the Undergraduate Chemistry Course: A Systematic Review. Society for Information Technology & Teacher Education International Conference. 1808–1811. Waynesville, NC, Association for the Advancement of Computing in Education (AACE). https://www.learntechlib.org/primary/p/224214/

    • Journal Article

  • Goodman, A., Lee, Y., Elieson, S., Knezek, G. (2024). Using self-regulated learning theory and learning analytics to identify explanatory variables affecting learning outcomes in online/hybrid undergraduate calculus. Journal of Computers in Mathematics and Science Teaching. 42 (2) 125-154. Waynesville, NC, Association for the Advancement of Computing in Education.
  • Lee, Y. Exploring educators' sentiments towards the use of ChatGPT in education.
  • Lee, Y. Assessing accuracy and utility of an intelligent tutor employing Retrieval-Augmented Generation (RAG) for statistics education.
  • Lee, Y. (2023). The effect of course format change on learning behaviors and performance of students. International Journal on E-Learning. 22 (2) 159-176. Waynesville, NC, Association for the Advancement of Computing in Education.
  • Lee, Y. (2022). Identifying prerequisite courses in undergraduate biology using machine learning. Journal of Data Science. (1-16) 1–16.
  • Wang, X., Lee, Y., Lin, L., Mi, Y., Yang, T. (2021). Analyzing instructional design quality and students’ reviews of 18 courses out of the Class Central Top 20 MOOCs through systematic and sentiment analyses. The Internet and Higher Education. 50 100810.
  • A, L., Lee, Y. A Confirmatory Factor Analysis (CFA) on Pleasurable Learning Experiences (PLLEX) Scale.
  • A, L., Lee, Y. (2020). College students' perception of pleasure in learning: Designing gameful educational gamification. International Journal on E-Learning. 19 (2) 93–123.
  • Lee, Y. (2019). Estimating student ability and problem difficulty using Item Response Theory (IRT) and TrueSkill. Information Discovery and Delivery. 47 (2) 67-75.
  • Gu, P., Lee, Y. (2019). Promoting students' motivation and use of SRL strategies in the Web-based mathematics learning environment. Journal of Educational Technology Systems. 47 (3) 391-410.
  • Lee, Y. (2018). Effect of uninterrupted time-on-task on students’ success in Massive Open Online Courses (MOOCs). Computers in Human Behavior. 86 174-180.
  • Lee, Y. (2018). Using Self-Organizing Map (SOM) and clustering to investigate problem solving patterns in the Massive Open Online Course (MOOC): An exploratory study. Journal of Educational Computing Research. 57 (2) 471-490.
  • Lee, Y. (2017). Modeling students’ problem solving performance in the computer-based mathematics learning environment. International Journal of Information and Learning Technology. 34 (5) 385-395.
  • Sullivan, D.K., Goetz, J.R., Gibson, C.A., Mayo, M.S., Washburn, R.A., Lee, Y., Ptomey, L.T., Donnelly, J.E. (2016). A virtual reality intervention (Second Life) to improve weight maintenance: Rationale and design for an 18-month randomized trial. Contemporary Clinical Trials. 46 77–84.
  • Lee, Y. (2016). Predicting students' problem solving performance using Support Vector Machine. Journal of Data Science. 14 231–244.
  • Lee, Y. (2015). Analyzing log files to predict students’ problem solving performance in a computer-based physics tutor. Educational Technology & Society. 18 (2) 225–236.
  • Lee, Y. (2015). Developing iPad-based physics simulations that can help people learn Newtonian physics concepts. The Journal of Computers in Mathematics and Science Teaching. 34 (3) 299–325.

Presentations Given

    Oral Presentation

  • Lee, Y. (Author & Presenter), Association for Educational Communications and Technology Annual Meeting, TrueSkill: An online machine learning algorithm that can efficiently estimate student ability in MOOCs, United States of America. (2019).
  • Lee, Y. (Author & Presenter), American Educational Research Association Annual Meeting, An investigation on the learning behaviors of students enrolled in a large-scale MOOC, United States of America. (2017).
  • A, G. (Author & Presenter), Lee, Y. (Author), American Educational Research Association Annual Meeting, Consequential factors in education gamification: An instrument for studying pleasurability in learning, United States of America. (2017).
  • Lee, Y. (Author & Presenter), Association for Educational Communications and Technology Annual Meeting, Clustering MOOC students using Self-Organizing Map (SOM), United States of America. (2017).
  • Gu, P. (Author & Presenter), Lee, Y. (Author), Association for Educational Communications and Technology Annual Meeting, Promoting students’ motivation and use of SRL strategies in online mathematics learning, United States of America. (2017).
  • Lee, Y. (Author & Presenter), American Educational Research Association Annual Meeting, Estimating students’ problem solving performance in a Web-based learning environment: A data mining approach, United States of America. (2016).
  • Hsu, K. (Author & Presenter), Lee, Y. (Author), Association for Educational Communications and Technology Annual Meeting, Social gamification of e-learning for science education outreach, United States of America. (2016).
  • Lee, Y. (Author & Presenter), Association for Educational Communications and Technology Annual Meeting, Understanding student learning in MOOC: A data mining approach, United States of America. (2016).
  • Lee, Y. (Author & Presenter), Association for Educational Communications and Technology Annual Meeting, Developing an automated data collec- tion mechanism in Second Life, United States of America. (2015).
  • Hsu, K. (Author & Presenter), Lee, Y. (Author), E-Learn, Social gamification in multimedia instruction to advance glacier science for students grades K-4, United States of America. (2015).

Service

University Service

  • Committee Member, Scholarship & Awards Committee. (2022 - Present).
  • Member, Learning Analytics Working Group. (February 2021 - Present).
  • Member, Data Science Innovation Lab Working Group. (January 2021 - Present).
  • Committee Member, Executive Committee. (April 2021 - 2024).
  • Chairperson, Graduate Curriculum Committee. (August 2020 - 2023).
  • Committee Member, Search committee: Open rank faculty position. (August 2022 - 2022).
  • Committee Member, Data Analyst Search Committee. (April 2021 - 2022).
  • Committee Member, Residential Doctoral Student Recruitment/Retention Committee. (January 2021 - 2022).
  • Committee Member, Personal Affairs Committee and RPTC. (September 2019 - 2021).
  • Committee Member, Scholarship & Awards Committee. (September 2019 - August 2020).
  • Program Coordinator, Educational Technology MSE Program. (2017 - August 2019).
  • Chairperson, Personnel Committee. (September 2016 - August 2019).
  • Committee Member, Teacher Education Committee. (September 2015 - August 2019).
  • Member, Research Computing Liaison. (January 2013 - August 2019).
  • Chairperson, Shorelight Master's Accelerator Program Committee. (September 2015 - August 2018).
  • Committee Member, Technology Committee. (September 2012 - August 2017).
  • Committee Member, Classroom Design Group. (2015 - 2016).
  • Member, eLearning Design Lab. (January 2013 - December 2016).
  • Chairperson, Educational Technology Lecturer Search Committee. (September 2014 - January 2015).
  • Committee Member, Undergraduate Committee. (2009 - 2014).

Professional Service

  • Committee Member, IEEE International Conference on Advanced Learning Technologies. Nicosia, (February 2024 - Present).
  • Reviewer, Ad Hoc Reviewer, IEEE Transactions on Learning Technologies. (2017 - Present).
  • Reviewer, Ad Hoc Reviewer, Journal of Educational Technology & Society. (2014 - Present).
  • Reviewer, Ad Hoc Reviewer, Journal of Educational Psychology. (2012 - Present).
  • Reviewer, Conference Paper, American Educational Research Association. (2011 - Present).
  • Reviewer, Conference Paper, Association for Educational Communications and Technology. (2011 - Present).
  • Reviewer, Ad Hoc Reviewer, Journal of Computer Assisted Learning. (2011 - Present).
  • Reviewer, Ad Hoc Reviewer, Computers & Education. (2010 - Present).
  • Reviewer, Ad Hoc Reviewer, Journal of Educational Computing Research. (2009 - Present).
  • Committee Member, 13th International Conference on Educational Data Mining Programm Committee. (2019 - 2020).
  • Committee Member, 10th International Conference on Educational Data Mining Program Committee. (2017).
  • Committee Member, 9th International Conference on Educational Data Mining Program Committee. (2016).

Consulting

  • Academic, University of Georgia, United States of America. (August 2018 - July 2019).