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Research Repository

The Research and Innovation Team at the eCampus Center is the go-to partner for online education stakeholders seeking innovative solutions for student success, retention, and transformative learning experiences. As part of our work, we support faculty who publish and present research. This page is a repository to highlight research findings.

Research by Category

White Papers

Case Studies

Learning Analytics Case Studies

Artificial Intelligence in Online Learning

  • Liu, X., Du, X., Hung, J.-L., Li, H., Yang, S., & Xie, Y. (2026). Exploring shared monitoring in large language model (LLM)-supported online collaborative problem solving for high-cohesion and low-cohesion groups. Journal of Computer Assisted Learning, 42(3), Article e70249. https://doi.org/10.1002/jcal.70249
  • Tang, Y., Du, X., Hung, J.-L., Wang, M., & Ding, T. (2026). Enhancing collaborative problem solving through AI personal assistant interactions: Insights from diverse prior knowledge groups. IEEE Transactions on Learning Technologies. Advance online publication. https://doi.org/10.1109/TLT.2026.3713908
  • Hung, J. L., Rice, K., & Zhang, M. (2025). Interpretable AI techniques unveil the factors and types of at-risk early warning: A case study in K-12 online learning. Data Technologies and Applications, ahead-of-print. https://doi.org/10.1108/DTA-11-2023-0795
  • Hung, J. L., Tang, Y., Du, X., Li, H., & Deng, M. (2025). Supporting social interactions analyses with multi-agent large language models (MALLM) – An exploratory study. Information Discovery and Delivery, ahead-of-print. https://doi.org/10.1108/IDD-04-2025-0100
  • Liu, X., Du, X., Hung, J.-L., Li, H., Yang, S., & Xie, Y. (2025). Exploring the effects of different types of socio-cognitive conflict on performance in collaborative problem solving: The role of socially shared regulation. Interactive Learning Environments, 1–16. https://doi.org/10.1080/10494820.2025.2580980
  • Tang, Y., Hung, J. L., Du, X., Li, H., & Yang, S. (2025). Exploring the impact of students’ social and cognitive skills on online collaborative problem solving: Empirical evidence from neuroscience. Behaviour & Information Technology, 1–17. https://doi.org/10.1080/0144929X.2025.2497446
  • Zhang, M., Wang, Y., Hung, J. L., Wang, J., & Duan, C. (2025). An early warning method based on blending of deep generative model and oversampling model for online learning. IEEE Access, 13, 72248–72268. https://doi.org/10.1109/ACCESS.2025.3563642
  • Zhang, M., Zeng, Z., Liu, Y., Bai, J., Hung, J.-L., & Duan, C. (2025). An early warning method combining autoencoder and local attention mechanism for K-12 education. In 2025 5th International Conference on Educational Technology (ICET) (pp. 307–313). IEEE. https://doi.org/10.1109/ICET67421.2025.11380538
  • Hyde, S. J., Busby, A., & Bonner, R. L. (2024). Tools or fools: Are we educating managers or creating tool-dependent robots?. Journal of Management Education, 48(4), 708-734.
  • Sass, M. & Martin, B. (2025). “Revolutionizing Community Engagement and Impact With AI,” Chapter 12 in Enhancing the Scholarship of Teaching and Learning in Online Learning Environments, published by IGI Publishing and edited by Regina Rahimi and Lina Soares of Georgia Southern University, USA.
  • Stone, B. W. (2025). Generative AI in higher education: Uncertain students, ambiguous use cases, and mercenary perspectives. Teaching of Psychology. https://doi.org/10.1177/00986283241305398

Learning Communities

  • Sanders, H., Obenshain, J., & Vecchione, A. (2025, May). Building Connection and Confidence Through a Customized Online Adjunct Faculty Learning Community. In EdMedia (pp. 1536-1545). Association for the Advancement of Computing in Education (AACE). https://www.learntechlib.org/p/226527/

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