Jionghao Lin
Affiliated Assistant Professor
University of Hong Kong
Affiliated Faculty
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Research Areas
Dr. Jionghao Lin is an Assistant Professor at the University of Hong Kong. He earned his Ph.D. in Computer Science from Monash University and completed postdoctoral research at Carnegie Mellon University. His research lies at the intersection of Artificial Intelligence in Education, learning analytics, and human-centered computing, with a particular focus on designing AI-driven systems to enhance teaching, learning, and assessment. Dr. Lin has led and contributed to projects on multimodal feedback generation, educational dialogue analysis, and AI-assisted tutor training. His work has been recognized with multiple awards, including Best Paper Award at HCII 2024, Best Student Paper Award at EDM 2024, Best Paper Award at ICMI 2019, and Best Demo Award at AIED 2023. He is also deeply engaged in the international AIED community, serving as Technology and Outreach Officer for the International AIED Society. In addition, he contributes as a reviewer for leading journals such as IJAIED, IEEE TLT, and BJET, and serves on the program committees of major conferences including AIED, LAK, EDM, and ECTEL.
Research Interests
My research interests include learning analytics, artificial intelligence in education, educational data mining, educational feedback, dialogue-based intelligent tutoring systems, and natural language processing. I focus on developing computational methods to understand and enhance learning and teaching.