Publications

Journal articleAccepted

Measuring cognitive presence in online discussions: Automated detection and instructional insights from a MOOC context

Yu, J. H., Tu, F.*, Chen, H., Ding, J., Hsieh, C-J.*, Dong, L.*, Kim, H., & Watson, S. L.

Educational Technology Research and Development

Conference presentation

Measuring cognitive presence in online discussions: Interpretable AI and instructional insights from a MOOC context [Poster presentation]

Tu, F., Yu, J. H., Chen, H., Ding, J., Dong, L., Hsieh, C.-J., Kim, H., & Watson, S. L.

ISLS Annual Meeting 2026, Irvine, CA, United States

Conference presentation

Validating new pathways to success: Active lurkers and selective completers in MOOCs [Poster presentation]

Yu, J. H., Wilhoit, H. Y.*, & Tu, F.*

16th International Conference on Learning Analytics and Knowledge (LAK26), Bergen, Norway

Journal article

Structured flexibility in Microcredentials: A temporal analysis of self-regulated achievement pathways

Yu, J. H., Tu, F.*, & Yelamar, K. S.

Computers & Education

Conference presentation

The interrelationships between students’ social presence and cognitive presence in asynchronous online courses: An epistemic network analysis

Dong, L.*, Hsieh, C.*, Watson, S. L., Yu, J. H., Lowell, V.

Annual Conference of the American Educational Research Association (AERA), Denver, CO, United States. *Best Paper Award from the Online Teaching and Learning SIG

Conference presentation

The rise and fall of conversations: Tracing discussion engagement across MOOCs with Latent Growth Modeling [Conference poster]

Yu, J. H.

15th International Conference on Learning Analytics and Knowledge (LAK25), Dublin Royal Convention Centre, Dublin, Ireland

Conference presentation

The stayers, stragglers, and slippers: Tracking student journeys in MOOC certification programs [Conference poster]

Yu, J. H.

15th International Conference on Learning Analytics and Knowledge (LAK25), Dublin Royal Convention Centre, Dublin, Ireland

Journal article

Identifying learner profiles and predicting performance in a digital textbook

Yu, J. H., Park, Y., & Kye, B.

Educational Technology International, 26(1), 1-35

Recipient of the Best Paper Award at the 40th Anniversary Korean Educational Technology Society.

Journal article

Revisiting the interrelationships between social presence and cognitive presence in asynchronous online courses: Insights from epistemic network analysis

Dong, L.*, Watson, S., Yu, J. H., & Lowell, V.

Online Learning Journal, 29(3), 417-448

Recipient of the Best Paper Award of Online Teaching and Learning SIG at the 2025 American Educational Research Association.

Journal article

Integrating actionable analytics into learning design for MOOCs: A design-based research

Yu, J. H.

Journal of Computing in Higher Education, 1-39

Journal article

Trends in NLP for personalized learning: LDA and sentiment analysis insights

Yu, J. H., & Chauhan, D.*

Education and Information Technologies, 1-42

Conference presentation

A systematic review of natural language processing applications in personalized learning

Yu, J. H.

2023 Annual Conference of the Association for Educational Communications & Technology (AECT), Orlando, FL

Conference presentation

Identifying learner profiles and predicting performance in a Digital Textbook: A case study of K-8 schools in South Korea

Yu, J. H., Park, Y., Kye, B.

Annual Conference of the Association for Educational Communications & Technology (AECT), Orlando, FL

Journal article

How difficult is the task for you?

Nawaz, S., Srivastava, N., Yu, J. H., Baker, R., Kennedy, G., Bailey, J.

Modeling and analysis of students' task difficulty sequences in a simulation-based POE environment. International Journal of Artificial Intelligence in Education. 1-30

Journal article

Identifying subtypes of attitudinal learning among MOOCs learners: A latent profile analysis

Yu, J. H. & Watson, S. L.

Open Learning: The Journal of Open and Distance Learning

Journal article

Learner profiles of attitudinal learning in a MOOC: An explanatory sequential mixed-methods study

Watson, S. L., Watson, W. R., Yu, J. H., Almari, H., & Mueller, C.

Computers & Education, 114, 274-285

Journal article

Clustering blended learning courses by online behavior data: A case study in a Korean higher education institute

Park, Y, Yu, J. H. & Jo, I.

The Internet and Higher Education, 29, 1-11

Conference presentation

Profiles of attitudinal change among MOOC learners: A latent profile analysis

Yu, J. H. & Watson, S.

2016 Annual Conference of the Association for Educational Communications & Technology (AECT), Las Vegas, NV

Report

Preparing 21st-century competencies: A case study of digital textbook in Korean elementary school

Kye, B., Yu, J. H., & Park Y.

Seoul, Korea: Korean Education Research Information Services

Invited talk

Cultivating digital educators: How learning analytics can empower teachers

Yu, J. H.

Invited address delivered at the international academic conference of 100th-anniversary commemoration of Ewha Teacher Education. Ewha Womans University. Seoul, Korea

Invited talk

Learner profile analysis to enhance adaptive learning experiences

Yu, J. H.

Invited address delivered at the international academic conference of 100th-anniversary commemoration of Ewha Teacher Education. Ewha Womans University. Seoul, Korea

Conference presentation

A data-driven typology of blended learning models in higher education: Insights from ethnographic evidence

Yu, J. H., Park, Y., & Jo, I.

Annual Conference of the Association for Educational Communications & Technology (AECT), Indianapolis, IN

Conference presentation

Clustering instructional design models based on student learning behaviors in blended learning: Big data analytics in higher education

Yu, J. H., Park, Y., & Jo, I.

Annual Conference of the Association for Educational Communications & Technology (AECT), Jacksonville, FL