Research

Journal Paper

• Askarnia, M., Cheon, J., Huang, M., Cusson, M., & Abbaszadeh, A. (2026). The Impact of Debugging Strategies on Student Learning Performance in Block-Based Programming. The Journal of Applied Instructional Design, 15(2). https://doi.org/10.59668/2579.26932
• Ryu, M., & Cheon, J., & Han, S. (2026). A study on development of the AI education 2.0 model: Focusing on collaborative learning with AI. Journal of the Korean Association of Artificial Intelligence Education, 6(3), 1-13.
• Ward, F., Cho, J., Jung, J., Tognocchi, C., Beadles, T., & Cheon, J. (2025). ChatGPT for the intellectual soul: A Deweyan perspective on AI-based multicultural classroom praxis. Multicultural Education Review, 17, 1-18.  https://doi.org/10.1080/2005615X.2025.2467759
• 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, 22:35. https://doi.org/10.1186/s41239-025-00533-1
• 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, 62(1). https://doi.org/10.1177/07356331241291174
• Yang, T., & Cheon, J. (2024). Investigating the discrepancy between non-CS students’ self-efficacy and their performance regarding computational thinking. Computer Science Education, 35(3), 435-456. https://doi.org/10.1080/08993408.2024.2403970
• Yang, T., Cheon, J., & Park, E. (2024). Investigating which challenges considered by pre-service teachers are reflected with their technology integration self-efficacy. The Journal of Applied Instructional Design, 13(2), 125-128. https://doi.org/10.59668/1269.15648

 

Conference Presentation

• Askarnia, M., Cheon, J., & Abbaszadeh, A. (2026, November 3-7). Predicting student performance from debugging strategies in block-based programming environments [Paper presentation]. Association for Educational Communications and Technology (AECT) International Convention, Chicago, IL, United States.
•  Askarnia, M., & Cheon, J. (2026, November 3-7). Examining self-regulated learning in chatbot-supported programming: Behavioral, perceived, and reflective evidence [Paper presentation]. Association for Educational Communications and Technology (AECT) International Convention, Chicago, IL, United States.
• Mohammed, S., Gokmen, C., Ahmed, A., Askarnia, M., & Unal, D. (2026, November 3-7). Building bridges to social presence: Enhancing retention for students with special needs in online learning environments [Paper presentation]. Association for Educational Communications and Technology (AECT) International Convention, Chicago, IL, United States.
• Yang, T., Cheon, J., Cho, M., Huang, M., & Cusson, N. (2026, April 17-19). Undergraduate students' perspectives of AI ethics: The spotlighted autonomy principle [Paper presented]. 8th International Conference on Computer Science and Technologies in Education (CSTE), Wuhan, Hubei, China.
• Cheon, J. (2026, April 8-12). Prompt literacies: Cognitive growth in AI-supported problem solving. In R. Garg (Chair), Exploring Digital Platforms, Literacy Practices, and Pedagogical Futures from Diverse Perspectives. SIG Technology as an Agent of Change in Teaching and Learning; Symposium, The annual convention of the American Educational Research Association, Los Angeles, CA.
• Askarnia, M., Cheon, J., & Inan, F. (2026, April 8-12). Identifying research trends and themes in artificial intelligence in education: A topic modeling approach [Paper presentation]. American Educational Research Association (AERA) Annual Meeting, Los Angeles, CA, United States. (Top-Ranked Student Proposal Recognition, AERA Division C—SIG-IT.)
• Huang, M., Cheon, J., Mercado, F. M., He, X., & Askarnia, M. (2026, April 8-12). Optimizing graphic organizers for L2 learning: Effects of timing and interactivity [Paper presentation]. American Educational Research Association (AERA) Annual Meeting, Los Angeles, CA, United States.
• Abbaszadeh, A., Cheon, J., Mansell, K., & Greenhalgh-Spencer, H. (2026, March 23-27). Investigating return on investment in K–12 EdTech: Comparing high- and low-performing applications [Paper presentation]. Society for Information Technology & Teacher Education International Conference (SITE), Philadelphia, PA, United States.
• Askarnia, M., Ramezani, M., Abbaszadeh, A., & Unal, D. (2026, March 23-27). Learning structures in AI-integrated visual art forms: Creative engagement patterns [Paper presentation]. Society for Information Technology & Teacher Education International Conference (SITE), Philadelphia, PA, United States.
• Bahaeabadi Ravari, P., Ramezani, M., Rahimzadeh Holagh, S., & Askarnia, M. (2026, March 23-27). Learning discourse in the digital public sphere: A decade of pedagogical communication from elite U.S. art colleges on Twitter/X [Paper presentation]. Society for Information Technology & Teacher Education International Conference (SITE), Philadelphia, PA, United States.
• Thapa, B., Askarnia, M., & Cheon, J. (2026, March 23-27). AI-enhanced assistive technologies for students with disabilities: A systematic review of types, barriers, and design principles [Paper presentation]. Society for Information Technology & Teacher Education International Conference (SITE), Philadelphia, PA, United States.
• Askarnia, M., & Abbaszadeh, A. (2026, March 6–7). Analyzing debugging patterns using an AI-generated debugging framework in block-based programming [Paper presentation]. Education Graduate Student Organization (EGSO), Lubbock, TX, United States.
• Mukombe, C. (2026, March 6–7). A theoretical model for future-forward critical thinking pedagogy in higher education [Paper presentation]. Education Graduate Student Organization (EGSO), Lubbock, TX, United States.
• Abbaszadeh, A., Cheon, J., Askarnia, M., & Solis, A. (2026, February 18-20). Comparing high- and low-return-on-investment mathematics instructional software based on Texas teachers’ perceptions [Paper presentation]. Southwest Educational Research Association (SERA) Annual Conference, New Orleans, LA, United States.
• Askarnia, M., Cheon, J., Abbaszadeh, A., Huang, M., & Mukombe, C. (2026, February 18-20). Exploring research themes in artificial intelligence education using non-negative matrix factorization [Paper presentation]. Southwest Educational Research Association (SERA) Annual Conference, New Orleans, LA, United States. (Outstanding Graduate Student Paper Award).
• Askarnia, M., Cheon, J., Huang. M., Cusson, C., & Abbaszadeh, A. (2025, October 20-24). The impact of debugging strategies on student learning performance in block-based programming [Paper presentation]. Association for Educational Communications and Technology (AECT) Conference, Las Vegas, NV, United States.
• Askarnia, M., Cheon, J., Abbaszadeh, A., Huang, M., & Thapa, B. (2025, March 17-21). Analyzing debugging patterns using an AI-generated debugging framework in block-based programming [Paper presentation]. Society for Information Technology & Teacher Education International Conference (SITE), Orlando, FL, United States.
• Huang, M., Cusson, M., Cheon, J., & Askarnia, M. (2025, March17-21). Presenting timing effects of graphic organizer on second language learners’ retention and transfer [Paper presentation]. Society for Information Technology & Teacher Education International Conference (SITE), Orlando, FL, United States.
• Askarnia, M., Cheon, J., & Nguyen, N. (2024, October 19–23). Exploring the challenges, difficulties, and struggles faced by undergraduate students in block-based programming [Paper presentation]. Association for Educational Communications and Technology (AECT) International Convention, Kansas City, MO, United States.
• Huang, M., Yang, T., Cusson, M., Askarnia, M., & Cheon, J. (2024, February 14–16). The effects of different graphic organizers on EFL online learning [Paper presentation]. Southwest Educational Research Association (SERA) Conference, Dallas, TX, United States.
• Askarnia, M., Yang, T., Huang, M., Cusson, M., & Cheon, J. (2024, February 14–16). Investigating how subject-matter interest, subject-matter self-efficacy, and control of the learning process relate to learning performance in a block-based programming course [Paper presentation]. Southwest Educational Research Association (SERA) Conference, Dallas, TX, United States.

 

Conference Proceedings

• Abbaszadeh, A., Cheon, J., Mansell, K., & Greenhalgh-Spencer, H. (2026, March). Investigating Return on Investment in K–12 EdTech: Comparing High-and Low-Performing Applications. Proceedings of  Society for Information Technology & Teacher Education International Conference (pp. 1669-1675). Association for the Advancement of Computing in Education (AACE). https://www.learntechlib.org/p/2129194/
• Askarnia, M., Ramezani, M., Abbaszadeh, A. & Unal, D. (2026). Learning Structures in AI-Integrated Visual Art Forms: Creative Engagement Patterns. Proceedings ofSociety for Information Technology & Teacher Education International Conference (pp. 471-479). Philadelphia, PA: Association for the Advancement of Computing in Education (AACE).  https://www.learntechlib.org/primary/p/2129015/.
• Bahaeabadi Ravari, P., Ramezani, M., Rahimzadeh Holagh, S. & Askarnia, M. (2026). Learning Discourse in the Digital Public Sphere: A Decade of Pedagogical Communication from Elite U.S. Art Colleges on Twitter/X. Proceedings of Society for Information Technology & Teacher Education International Conference (pp. 2712-2722). Philadelphia, PA: Association for the Advancement of Computing in Education (AACE). https://www.learntechlib.org/primary/p/2129348/.
• Thapa, B., Askarnia, M. & Cheon, J. (2026). AI-Enhanced Assistive Technologies for Students with Disabilities: A Systematic Review of Types, Barriers, and Design Principles. Proceedings ofSociety for Information Technology & Teacher Education International Conference (pp. 1012-1021). Philadelphia, PA: Association for the Advancement of Computing in Education (AACE). https://www.learntechlib.org/primary/p/2129097/.
• Askarnia, M., Cheon, J., Abbaszadeh, A., Huang, M., & Thapa, B. (2025, March). Analyzing Debugging Patterns Using an AI-Generated Debugging Framework in Block-Based Programming. In Society for Information Technology & Teacher Education International Conference (pp. 9-14). Association for the Advancement of Computing in Education (AACE). https://www.learntechlib.org/p/225985/
• Askarnia, M., Cheon, J., Abbaszadeh, A., Huang, M. & Thapa, B. (2025). Analyzing Debugging Patterns Using an AI-Generated Debugging Framework in Block-Based Programming. In R. Jake Cohen (Ed.), Proceedings of Society for Information Technology & Teacher Education International Conference (pp. 9-14). Orlando, FL, USA: Association for the Advancement of Computing in Education (AACE). https://www.learntechlib.org/primary/p/225985/.
• Huang, M., Cusson, M., Cheon, J. & Askarnia, M. (2025). Presenting Timing Effects of Graphic Organizer on Second Language Learners’ Retention and Transfer. In R. Jake Cohen (Ed.), Proceedings of Society for Information Technology & Teacher Education International Conference (pp. 1109-1113). Orlando, FL, USA: Association for the Advancement of Computing in Education (AACE). https://www.learntechlib.org/primary/p/225986/.
• Huang, M., Yang, T., Cheon, J., & Cusson, N. (2024). Comparing the predictive effects of preservice teachers’ self-efficacy in block-based and robot programming on their computational thinking (CT) instructional readiness. In E. Langran (Ed.), Proceedings of Society for Information Technology & Teacher Education International Conference, 339-344.
• Cusson, M., Cheon, J., Yang, T., & Huang, M. (2024). Instructional video segmentation with active pauses between segments as a strategy to enhance grammar accuracy in second language learning. In E. Langran (Ed.), Proceedings of Society for Information Technology & Teacher Education International Conference, 1-6.