
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. She is passionate about supporting students' collaboration skills through actionable and scalable feedback. Her current research focuses on Collaborative Learning Analytics. She leverages insights from theory, pedagogy, Multimodal Learning Analytics, and state-of-the-art AI technologies to develop feedback interventions that are theoretically grounded, analytics-supported, and pedagogically sound. These interventions help students build essential collaboration skills (e.g., active listening).
Before embarking on her doctoral journey, Xiaomeng has contributed to multiple research projects at Harvard and MIT. Her previous work focused on how students acquire critical transferable skills collaboratively, such as scientific inquiry and spatial skills, in AR/VR/MR environments. Xiaomeng holds a Master of Education in Technology, Innovation, and Education from Harvard University.
Selected Publications
Full publication list: Google Scholar, ResearchGate
- 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