Xiaomeng Huang

Xiaomeng Huang is a PhD candidate in Educational Communication and Technology, advised by Professor Xavier Ochoa, in the Augment-Ed Research Group. She is passionate about enhancing the development of 21st-century skills through multimodal learning analytics. Her current research focuses on collaborative learning analytics, where she aims to utilize insights from fine-grained learning traces to create automated and actionable feedback for students to develop their collaboration skills.

Prior to joining NYU, 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.