Latest from the Lab
Yu, J. H., Wilhoit, H. Y., & Tu, F. (2026, April). Beyond interaction: Validating new pathways to success in MOOC-based microcredentials [Poster presentation]. 16th International Conference on Learning Analytics and Knowledge (LAK26), University of Bergen, Bergen, Norway.
Yu, J. H., Kim, H., Dong, L., Hsieh, C.-J., Duan, S., & Watson, S. (accepted). Linguistic patterns in reflective writing: Analyzing graduate students' professional aspirations. Educational Technology Research and Development.
Yu, J. H., Tu, F., & Yelamar, K. S. (accepted). Structured flexibility in microcredentials: A temporal analysis of self-regulated achievement pathways. Computers & Education. https://doi.org/10.1016/j.compedu.2026.105624
Tu, F., Yu, J. H., Chen, H., Ding, J., Dong, L., Hsieh, C.-J., Kim, H., & Watson, S. L. (2026, June). Measuring cognitive presence in online discussions: Interpretable AI and instructional insights from a MOOC context [Poster]. ISLS Annual Meeting, Irvine, CA.
Selected as an Ewha Global Fellow by Ewha Womans University in Seoul — recognizing distinguished international scholars for collaborative research and educational exchange with Ewha faculty.
Our paper using epistemic network analysis to examine the co-development of social and cognitive presence in asynchronous online courses received the Best Paper Award at AERA 2025, Denver, CO.
Recognized by the Korean Society for Educational Technology for advancing learning analytics through clustering and predictive modeling to uncover learner profiles in Korean K-8 digital textbook contexts.
Received the Rising Star Faculty Award from the UNT College of Information for the second year running, recognizing exceptional early-career contributions to research and teaching.
Presented research at the 15th International Conference on Learning Analytics and Knowledge (LAK25): latent growth modeling of MOOC discussion engagement trajectories, and tracking student certification pathways.
Awarded $5,000 as PI for designing a metacognitive nudge to promote AI co-regulation — the foundational research driving MIRA-Agent's adaptive scaffolding architecture.