Jongpil Cheon, Ed.D.
Email: jongpil.cheon@ttu.edu
Phone: 806-834-2052
Office: Education 265
Dr. Jongpil Cheon is a Professor of Instructional Technology and Director of the Center for Innovation in E-Learning at Texas Tech University. His research focuses on designing immersive online learning environments and leveraging advanced technologies to enhance interactivity and engagement in digital learning. His specific areas of interest include artificial intelligence in education, computational thinking, multimedia learning, online learning readiness, and technology adoption. Dr. Cheon’s research has been published in leading academic journals such as Computers & Education, Educational Technology Research and Development, and Computers in Human Behavior. He has also held leadership positions in several professional and academic organizations, contributing to the advancement of educational technology research and practice.
Education
- Doctorate in Instructional Design and Technology, The University of Memphis
- Master of Arts in Computer Education, Gyeongin National University of Education, Incheon, Korea
- Bachelor of Arts in Elementary Education: Gyeongin National University of Education, Incheon, Korea
Areas of Expertise
- Artificial Intelligence (AI) in Education
- Computational Thinking
- Online Learning
- Multimedia Theory and Development
- Visual Design for Learning
- Technology Integration
Selected Publications
Yang, T., Cheon, J., Cho, M. H., Huang, M., & Cusson, N. (2025). Undergraduate students’ perspectives of generative AI ethics. International Journal of Educational Technology in Higher Education.
Park, E., & Cheon, J. (2024). Exploring debugging challenges and strategies using structural topic model: A comparative analysis of high and low-performing students. Journal of Educational Computing Research.
Yang, T., & Cheon, J. (2024). Investigating the discrepancy between non-CS students’ self-efficacy and their performance regarding computational thinking. Computer Science Education.
Moon, H., & Cheon, J. (2023). An investigation of affective factors influencing computational thinking and problem-solving. International Journal of Information and Education Technology.
Moon, H., Cheon, J., & Kwon, K. (2022). Difficult concepts and practices of computational thinking using block-based programming. International Journal of Computer Science Education in Schools, 5(3), 1–15.
Moon, H., Cheon, J., Lee, J., Banda, D. R., Griffin-Shirley, N., & Ajuwon, P. M. (2022). Factors influencing the intention of persons with visual impairment to adopt mobile applications based on the UTAUT model. Universal Access in the Information Society, 21(1), 93-107.
Cheon, J., Cheng, J., & Cho, M. H. (2021). Validation of the online learning readiness self-check survey. Distance Education, 42(4), 599-619.
Kwon, K., Cheon, J., & Moon, H. (2021). Levels of problem-solving competency identified through Bebras computing challenge. Education and Information Technologies, 26, 5477-5498.
Shin, S., Cheon, J., & Shin, S. (2021). Teachers' perceptions of first-year implementation of computer science curriculum in middle school: How we can support CS initiatives. Computers in the schools, 38(2), 98-124.
Cho, M. H., Cheon, J., & Lim, S. (2021). Preservice teachers' motivation profiles, self-regulation, and affective outcomes in online learning. Distance Education, 42(1), 37-54.
Chung, S., & Cheon, J. (2020). Emotional design of multimedia learning using background images with motivational cues. Journal of Computer Assisted Learning, 36, 922-932.
College of Education
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Address
Texas Tech University, College of Education, 3002 18th Street Lubbock, TX 79409 -
Phone
(806) 742-2377 -
Email
educ.webmaster@ttu.edu