Xiaomeng Huang

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' 21st century skills development through actionable and scalable feedback. 

Her current research explores how multimodal AI (LLMs, speech, vision) can support collaboration skills learning (e.g. active listening). She develops theoretical frameworks, rigorous measurement models, and multimodal AI systems that deliver analytics-based, pedagogically sound feedback to scaffold students’ learning of these complex skills.

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.