Xiaomeng Huang is a PhD candidate in Educational Communication and Technology program, where she is fortunate to be advised by Professor Xavier Ochoa, in the Augment-Ed Research Group. Her research bridges the learning sciences, AI in education, multimodal learning analytics, and computational assessment to study how learners develop shared epistemic agency—the capacity to take shared responsibility for co-constructing and advancing knowledge with others—across human-human and AI-mediated collaboration.
Selected Publications
Full publication list: Google Scholar, ResearchGate
- Huang, X., Ochoa, X., & Hiterer, D. (2026, June). The TME framework: multimodal learner modeling for active listening skills in collaborative problem solving. In International Conference on Artificial Intelligence in Education (pp. 416-430). Cham: Springer Nature Switzerland.
- Huang, X., & Ochoa, X. (2025). Charting the Development of Collaboration Skills Through Collaborative Learning Analytics Systems. Journal of Learning Analytics, 12(1), 338-366. https://doi.org/10.18608/jla.2025.8523
- Ochoa, X., Huang, X., & Charlton, A. (2024). Unpacking the Complexity: Why Current Feedback Systems Fail to Improve Learner Self-Regulation of Participation in Collaborative Activities. Journal of Learning Analytics, 11(2), 246-267. https://doi.org/10.18608/jla.2024.8355