Hao Yu, Ph.D. candidate

Bio: Hao Yu is a PhD Candidate in the Department of Computer Science at Boston University, advised by Professor Margrit Betke. Before joining BU, he obtained his B.Eng. in Computer Science at Zhejiang University. His research focus includes computer vision, machine learning, and human-computer interaction, as well as their applications in affective computing and educational technology, including student behavior analysis and content personalization for intelligent tutors.

Project Title: Early Prediction of Student Exercise Outcomes in Intelligent Tutoring Systems

Project Summary: This project leverages AI to create adaptive, efficient, and effective educational experiences. The research proposes a novel multimodal approach that combines early visual affective analysis with learning log data to accurately predict student exercise outcomes during the early stages of problem-solving. This enables Intelligent Tutoring Systems (ITS) to provide timely interventions and support for students, ultimately leading to more effective learning outcomes.

Research Mentorship Team:

Margrit Betke, Professor of Computer Science, Associate Chair of Faculty if Computer Science, Co-Director of the Artificial Intelligence Research (AIR) lab at Hariri Institute, Boston University

Sarah Adel Bargal, Assistant Professor and a Provost’s Distinguished Faculty Fellow at Georgetown University

Beverly Park Woolf, Research Professor, Manning College of Information and Computer Science, University of Massachusetts Amherst

Ivon Arroyo, Associate Professor, Manning College of Information and Computer Science, University of Massachusetts Amherst

Danielle Allessio. Lecturer and Postdoc Research, College of Education, University of Massachusetts Amherst

Tom Murray, Research Fellow Manning College of Information and Computer Science, University of Massachusetts Amherst

John J. Magee, Associate Professor and Department Chair of Computer Science, Clark University