Faculty Profile

Youngjin Lee

Title
Associate Professor
Department
Learning Technologies
College
College of Information

    

    

      


                          

            
Curriculum Vitae

            

              Click Here to View Faculty CV
            

          

        
                          

            
Education

            



  

  


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





          

        
                

          
Current Scheduled Teaching*


          
LTEC 5702.420, Applications of Artificial Intelligence in Learning Analytics, Fall 2024 
LTEC 3530.420, Data Communications, Fall 2024 
LTEC 6950.436, Doctoral Dissertation, Fall 2024 
LTEC 6514.430, Seminar on Advanced Research Topics in Learning Technologies and Information Sciences, Fall 2024 


          
*
  Texas Education Code 51.974 (HB 2504) requires each institution of
  higher education to make available to the public, a syllabus for
  undergraduate lecture courses offered for credit by the institution.
  

        

      

    

  


    

    

      


        


          


            
Previous Scheduled Teaching*


            
                    

                    LTEC 5610.001, Analysis of Research in Learning Technologies, Spring 8W2 2024  SPOT
                    

                    LTEC 6510.030, Introduction to Research in Learning Technologies, Spring 2024  SPOT
                    

                    LTEC 5310.020, Human Computer Interaction, Fall 2023  SPOT
                    

                    LTEC 6500.030, Introduction to Quantitative Research in Learning Technologies, Fall 2023  SPOT
                    

                    LTEC 6950.736, Doctoral Dissertation, Summer 10W 2023 
                    

                    LTEC 6950.736, Doctoral Dissertation, Spring 2023 
                    

                    LTEC 6510.030, Introduction to Research in Learning Technologies, Spring 2023  SPOT
                    

                    LTEC 3260.020, Web Authoring, Spring 2023 Syllabus SPOT
                    

                    LTEC 5420.020, Web Authoring, Spring 2023 Syllabus SPOT
                    

                    LTEC 5610.020, Analysis of Research in Learning Technologies, Fall 8W2 2022  SPOT
                    

                    LTEC 6950.706, Doctoral Dissertation, Fall 2022 
                    

                    LTEC 6950.736, Doctoral Dissertation, Fall 2022 
                    

                    LTEC 6800.031, Special Topics in Learning Technologies, Fall 2022  SPOT
                    

                    LTEC 6950.736, Doctoral Dissertation, Summer 10W 2022 
                    

                    LTEC 5610.020, Analysis of Research in Learning Technologies, Spring 8W2 2022  SPOT
                    

                    LTEC 6511.020, Analysis of Research in Learning Technologies, Fall 2021  SPOT
                    

                    LTEC 6511.030, Analysis of Research in Learning Technologies, Fall 2021  SPOT
                    

                    LTEC 6511.040, Analysis of Research in Learning Technologies, Fall 2021  SPOT
                    

                    LTEC 6950.706, Doctoral Dissertation, Fall 2021 
                    

                    LTEC 6950.736, Doctoral Dissertation, Fall 2021 
                    

                    LTEC 6950.756, Doctoral Dissertation, Fall 2021 
                    

                    LTEC 6514.001, Seminar on Advanced Research Topics in Learning Technologies and Information Sciences, Fall 2021  SPOT
                    

                    LTEC 6514.030, Seminar on Advanced Research Topics in Learning Technologies and Information Sciences, Fall 2021  SPOT
                    

                    LTEC 6950.736, Doctoral Dissertation, Summer 10W 2021 
                    

                    LTEC 6950.756, Doctoral Dissertation, Summer 10W 2021 
                    

                    LTEC 5421.020, Advanced Web and Media Development, Spring 2021  SPOT
                    

                    LTEC 5421.026, Advanced Web and Media Development, Spring 2021  SPOT
                    

                    LTEC 5610.020, Analysis of Research in Learning Technologies, Spring 8W2 2021  SPOT
                    

                    LTEC 6950.706, Doctoral Dissertation, Spring 2021 
                    

                    LTEC 5610.020, Analysis of Research in Learning Technologies, Fall 8W2 2020  SPOT
                    

                    LTEC 5610.080, Analysis of Research in Learning Technologies, Fall 8W2 2020  SPOT
                    

                    LTEC 6950.706, Doctoral Dissertation, Fall 2020 
                    

                    LTEC 6514.001, Seminar on Advanced Research Topics in Learning Technologies and Information Sciences, Fall 2020  SPOT
                    

                    LTEC 6514.030, Seminar on Advanced Research Topics in Learning Technologies and Information Sciences, Fall 2020  SPOT
                    

                    LTEC 6950.706, Doctoral Dissertation, Summer 10W 2020 
                    

                    LTEC 6950.706, Doctoral Dissertation, Spring 2020 
                    

                    LTEC 6480.020, Research Seminar, Spring 2020 
                    

                    LTEC 6900.706, Special Problems in Learning Technologies, Spring 8W2 2020 
                    

                    LTEC 6800.030, Special Topics in Learning Technologies, Spring 2020 
                    

                    LTEC 6800.040, Special Topics in Learning Technologies, Spring 2020 
                    

                    LTEC 5510.020, Technology Based Learning Environments, Spring 2020 
                    

                    LTEC 5510.080, Technology Based Learning Environments, Spring 2020 
                    

                    LTEC 6514.001, Seminar on Advanced Research Topics in Learning Technologies and Information Sciences, Fall 2019  SPOT
                    

                    LTEC 6514.030, Seminar on Advanced Research Topics in Learning Technologies and Information Sciences, Fall 2019  SPOT
                    

                    LTEC 6514.040, Seminar on Advanced Research Topics in Learning Technologies and Information Sciences, Fall 2019  SPOT

          


          
*
  Texas Education Code 51.974 (HB 2504) requires each institution of
  higher education to make available to the public, a syllabus for
  undergraduate lecture courses offered for credit by the institution.
  

        

      

    

  

  
  	

	

	  

		

		   
Published Publications



  

  
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:. 
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.  (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.  (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. 



	
		
		
	  

	

	

  
    
	

	

	  

		

		   	
		
		
	  

	

	

	
	

  
  
  

  	

		

		,  
			
				

					
					Overall
Summative Rating		
					Challenge and
Engagement Index		
					Response Rate
					
				

			
			
				

					
					
out of 5		
					
out of 7		
					%
 of 
students responded		
					
					
				

			
		


		
    
			
  • Overall Summative Rating (median):
    
			This rating represents the combined responses of students to the four global summative items and is presented to provide an overall index of the class’s quality. Overall summative statements include the following (response options include a Likert scale ranging from 5 = Excellent, 3 = Good, and 1= Very poor):
				
      
					
    • The course as a whole was
      • 
					
    • The course content was
      • 
					
    • The instructor’s contribution to the course was
      • 
					
    • The instructor’s effectiveness in teaching the subject matter was
      • 
				
    
			
    • 
			
  • Challenge and Engagement Index:
    
			This rating combines student responses to several SPOT items relating to how academically challenging students found the course to be and how engaged they were. Challenge and Engagement Index items include the following (response options include a Likert scale ranging from 7 = Much higher, 4 = Average, and 1 = Much lower):
				
      
					
    • Do you expect your grade in this course to be
      • 
					
    • The intellectual challenge presented was
      • 
					
    • The amount of effort you put into this course was
      • 
					
    • The amount of effort to succeed in this course was
      • 
					
    • Your involvement in course (doing assignments, attending classes, etc.) was
      • 
				
    
			
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