Chenyu Lin
Email: clin452@wisc.edu
Biography
Chenyu Lin is a doctoral student in the Learning Sciences program within the Department of Educational Psychology at the University of Wisconsin–Madison, advised by Dr. Icy Zhang. His research broadly focuses on embodied cognition in the context of AI–human interaction. Prior to joining UW–Madison, he earned a Master of Science in Games for Learning from New York University and had seven years of experience as a K–12 English teacher in China. In his free time, he loves snowboarding, sailing, outdoor sports, playing digital games and cooking.
Education
New York University Sept. 2023 – May 2025
M.S. in Games for Learning
Hubei Normal University Sept. 2012 – June 2016
B.A. in Journalism of Broadcast and Television
Research Interests
My research interests are multimodal learning analytics, animated pedagogical AI agents, natural language processing, intelligent tutoring systems, and game-based learning.
Publications
Chen, E., Lin, C., Tang, X., Xi, A., Wang, C., Lin, J., & Koedinger, K. R. (2025). VTutor: An Open-Source SDK for Generative AI-Powered Animated Pedagogical Agents with Multi-Media Output. arXiv (Cornell University). https://doi.org/10.48550/arxiv.2502.04103
Chen, E., Lin, C., Huang, Y., Tang, X., Xi, A., Lin, J., & Koedinger, K. (2025). VTutor: An Animated Pedagogical Agent SDK that Provide Real Time Multi-model Feedback. In Communications in computer and information science (pp. 152–159). https://doi.org/10.1007/978-3-031-99267-4_19
Chen, E., Tang, X., Xi, A., Lin, C., Borchers, C., Gupta, S., Lin, J., & Koedinger, K. R. (2025). VTutor for high-impact tutoring at scale: Managing engagement and real-time multi-screen monitoring with P2P connections. Proceedings of the Twelfth ACM Conference on Learning @ Scale, 320–324. https://doi.org/10.1145/3698205.3733948
Chen, E., Tang, X., Xi, A., Lin, C., Borchers, C., Gupta, S., Lin, J., & Koedinger, K. R. (2025a). Demo of vtutor for high-impact tutoring at scale: A real-time multi-screen tutor support system with P2P connections. Proceedings of the Twelfth ACM Conference on Learning @ Scale, 398–400. https://doi.org/10.1145/3698205.3733920
Presentations
Lin, X., & Lin, C. (2024, June 12). Engaging Adult Learners in Asynchronous Online Discussion Board: A
Case Study of the Utilization of ChatGPT. The 15th Asian Adult Education Pre-Conference affiliated
with Adult Education Research Conference. University of Georgia, GA.
CV
https://drive.google.com/file/d/1NrEeG1vOjZ_4_P0VPK_QenNGm9D0DRM2/view