Email: jionghao [at] hku [dot] hk
Office: Room 216, Runme Shaw Building, The University of Hong Kong, Pokfulam Road, Hong Kong.
ORCID: 0000-0003-3320-3907
行稳致远
The world needs people of passion and integrity who are courageous in their search for truth.
Pronunciation: Jon-How Lin
Assistant Professor
Special Faculty (by courtesy) at HCII
Research Affiliate at CoLAM
Tech. & Outreach Officer at IAIED
Hello! I am currently an Assistant Professor in Learning Technologies at the Faculty of Education, University of Hong Kong. Our GEM Lab’s 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.
I was a postdoc at Carnegie Mellon University, advised by Prof. Kenneth R. Koedinger. I received my Ph.D. in Computer Science from Monash University, advised by Prof. Dragan Gašević, Prof. Guanliang Chen, and Prof. Sharon L. Oviatt. I was a visiting doctoral student at the Institute for Intelligent Systems University of Memphis, mentored by Prof. Xiang-En Hu, and a visiting graduate student (coursework) at the Information School at the University of California, Berkeley.
🔝Sept/2025 I am primarily seeking PhD applicants with a background in Human-Computer Interaction, Human-Centred AI, or Computer Engineering. If you are interested in pursuing a PhD, MPhil, or RA position with me, please fill out the Expression of Interest (EOI) Form [Link] .
🔝 June/2025 🔥We are pleased to announce that Xianghui (Margret) Meng has officially accepted the offer to join the GEM Lab as a doctoral student (primarily advised by Jionghao Lin). Welcome, Xianghui! 💎
🔝June/2025 🎉🎉🎉 GEM 💎 Lab Student Xianghui (Margret) Meng has been selected to receive HKUPS
🔝May/2025 🔥We are pleased to announce that Fang Wang has officially accepted the offer to join the GEM Lab as a doctoral student (primarily advised by Jionghao Lin). Welcome, Fang! 💎
🔝April/2025 🎉🎉🎉 GEM 💎 Lab Student Yujing (Clover) Zhang has been selected to receive HKPFS
Sept/2025 🎉 Our paper "Learning Analytics for Early Identification of At-Risk Students and Feedback Intervention" has been accepted by Journal of Learning Analytics.
Aug/2025 🎉 Our paper "Enhancing the De-identification of Personally Identifiable Information in Educational Data" has been accepted by Journal of Educational Data Mining. *Led by GEM 💎 Lab Students: Zilyu Ji and Jack Shen (both were undergraduate students when this work was conducted).
July/2025 🎉 Our paper "Starting Seatwork Earlier as a Valid Measure of Student Engagement" received the Best Paper Nomination at EDM2025
June/2025 🎉 A full paper "Automatic Large Language Models Creation of Interactive Learning Lessons" accepted by the 20th European Conference on Technology Enhanced Learning (ECTEL). Collaboratively contributed by GEM 💎 Lab Students: Jiarui Rao, Sandy (Yiyang) Zhao, Yuting Wang
May/2025 🎉 Interactive Event (Demo) paper "LDFacilitator: A System for Facilitating Learning Design Using Large Language Models" was accepted by the 26th International Conference on Artificial Intelligence in Education. *Led by GEM 💎 Lab Students: Shan (Mary) Tang, Jiajia Song, Nan Wang, and Jie Shen
July/2025 📢 I will be attending the AIED 2025 Conference (International AIED Society) in Palermo, Italy, from July 22 to July 27. Feel free to reach out. I’d be happy to connect and learn more about your research!
May/2025 🎉 Interactive Event (Demo) paper "SlideItRight: Using AI to Find Relevant Slides and Provide Feedback for Open-Ended Questions" was accepted by the 26th International Conference on Artificial Intelligence in Education. *Led by a GEM 💎 Lab Student: Qianhui (Chloe) Zhao
May/2025 🎉 Four Late Breaking Results papers were accepted by the 26th International Conference on Artificial Intelligence in Education. *One paper "Automated Bias Assessment in AI-Generated Educational Content Using CEAT Framework" Led by GEM 💎 Lab Students: Jingyang (Eric) Peng and Wenyuan (Nick) Shen
April/2025 🎉 Three long papers and one short paper were accepted by the 26th International Conference on Artificial Intelligence in Education. (Of the initial over 800 submissions, under 19% were accepted as full papers, and under 16% as short papers). *One paper "SlideItRight: Using AI to Find Relevant Slides and Provide Feedback for Open-Ended Questions" Led by a GEM 💎 Lab Student: Chloe (Qianhui) Zhao
April/2025 🎉 A full paper "SlideItRight: Using AI to Find Relevant Slides and Provide Feedback for Open-Ended Questions" accepted by the 26th International Conference on Artificial Intelligence in Education. [*Led by a GEM 💎 Team Student: Chloe (Qianhui) Zhao]
April/2025 🎉 One long paper was accepted by the 18th International Conference on Educational Data Mining. (Full paper acceptance rate 27.6%)
March/2025 🔥We are pleased to announce that Zhihan (Alice) Guo has officially accepted the offer to join the GEM Lab as a doctoral student (primarily advised by Jionghao Lin). Welcome, Zhihan! 💎
March/2025 🔥We are pleased to announce that Yujing (Clover) Zhang has officially accepted the offer to join the GEM Lab as a doctoral student (primarily advised by Jionghao Lin). Welcome, Clover! 💎
March/2025 🔥We are pleased to announce that Runlan Zeng has joined the GEM Lab as a doctoral student (co-advised by Jionghao Lin). Welcome, Runlan! 💎
March/2025 🎉Journal paper "Integrative modeling enables ChatGPT to achieve average level of human counselors performance in mental health Q&A" accepted by Information Processing & Management (IPM)
Feb/2025 🔥We are pleased to announce that Jie Shen has joined the GEM Lab as a doctoral student (co-advised by Jionghao Lin). Welcome, Jie! 💎
Feb/2025 🔥We are pleased to announce that Nan Wang has officially joined the GEM Lab as a doctoral student (co-advised by Jionghao Lin). Welcome, Nan! 💎
Jan/2025 Journal article "Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI" accepted by IEEE Transactions on Learning Technologies
Dec/2024 Workshop article "Towards Automated Qualitative Analysis: Leveraging Large Language Models for Tutoring Dialogue Evaluation" accepted by the Workshop at International Learning Analytics and Knowledge Conference 2025: From Data to Discovery: LLMs for Qualitative Analysis in Education. [*Led by GEM 💎 Team Students: Megan Gu, Chloe Zhao, Nikhil Patel, Jahnvi Shah, Claire Liu]
Nov/2024 Three long papers were accepted by LAK25.
"Do Tutors Learn from Equity Training and Can Generative AI Assess It?"
"Does Multiple Choice Have a Future in the Age of Generative AI? A Posttest-only RCT"
Oct/2024 GEM 💎 Team Student: Glenn (Chentianye) Xu has been selected as a STARS AI Scholar for the K12 Education AI Outreach Project (2024-2025).
Sept/2024 Journal paper "Assessing the Proficiency of Large Language Models in Automatic Feedback Generation: An Evaluation Study" accepted by Computers and Education: Artificial Intelligence.
Aug/2024 Conference paper "LLM-Generated Personalized Analogies to Foster AI Literacy in Adult Novices" accepted by the 32nd International Conference on Computers in Education (ICCE 2024, Long Paper)
July/2024 Conference paper "Combining Dialog Acts and Skill Modeling: What Chat Interactions Enhance Learning Rates During AI-Supported Peer Tutoring?" received 🏆Best Student Paper Award at the 17th International Conference on Educational Data Mining
July/2024 Demo article "Coursera-REC: Explainable MOOCs Course Recommendation using RAG-facilitated LLMs" received 🏅Best Demo Award Nominee at the Interactive Event at 25th International Conference on Artificial Intelligence in Education. [*Led by GEM 💎 Team Student: Jiarui Rao]
July/2024 Conference paper "Generative Adversarial Networks for Imputing Sparse Learning Performance" accepted by 27th International Conference on Pattern Recognition (ICPR2024, Long paper)
June/2024 Our Conference paper received 🏆Best Paper Award at the 26th International Conference on Human-Computer Interaction
June/2024 Workshop article "Enhancing MOOCs Recommendations Using Retrieval-Augmented Generation with Large Language Models" accepted by Workshop at International Conference on Educational Data Mining 2024: Leveraging Large Language Models for Next Generation Educational Technologies. [*Led by GEM 💎 Team Student: Jiarui Rao]
June/2024 SPL: A Socratic Playground for Learning Powered by Large Language Model article "SPL: A Socratic Playground for Learning Powered by Large Language Model" accepted by Workshop at International Conference on Educational Data Mining 2024: Leveraging Large Language Models for Next Generation Educational Technologies
May/2024 Our Journal paper was featured by a newsletter 🎤 about AI in Education on LinkedIn
May/2024 Working-in-progress article "Learning and AI Evaluation of Tutors Responding to Students Engaging in Negative Self-Talk" accepted by ACM Learning @ Scale Conference 2024
May/2024 Demo article "HAROR: A System for Highlighting and Rephrasing Open-Ended Responses" accepted by ACM Learning @ Scale Conference 2024
May/2024 Demo article "GPTutor: Great Personalized Tutor with Large Language Models for Personalized Learning Content Generation" accepted by ACM Learning @ Scale Conference 2024
May/2024 Demo article "MuFIN: A Framework for Automating Multimodal Feedback Generation using Generative Artificial Intelligence" accepted by ACM Learning @ Scale Conference 2024
April/2024 Joint Proceedings of LAK 2024 Workshops "Generative AI for Learning Analytics (GenAI-LA)" online available now (Workshop co-organizer)
April/2024 Conference paper "How Can I Improve? Using GPT to Highlight the Desired and Undesired Parts of Open-ended Responses" accepted by EDM2024 (Long paper)
April/2024 Conference paper "Understanding Learning in Collaborative Tutoring Systems via Instructional Factors Analysis of Peer Tutoring Chats" accepted by EDM2024 (Long paper)
April/2024 Journal article "Towards Automated Transcribing and Coding of Embodied Teamwork Communication through Multimodal Learning Analytics" accepted by British Journal of Educational Technology
March/2024 Conference paper "Predicting Learning Performance with Large Language Models: A Study in Adult Literacy" accepted by HCII2024 (Long paper)
March/2024 Conference paper "Using Generative AI to Provide Feedback to Adult Tutors in Training and Assess Real-life Performance" accepted by LIC2024 (Long paper)
March/2024 Conference paper "Improving Student Learning with Hybrid Human-AI Tutoring: A Three-Study Quasi-Experimental Investigation" accepted by LAK2024 (Long paper)
🏆Best student paper award, 17th International Conference on Educational Data Mining (2024)
🏆Best paper award, 26th International Conference on Human-Computer Interaction (2024)
🏆Best paper award, 21st ACM International Conference on Multimodal Interaction (2019)
🏆Best demo award, 24th International Conference on Artificial Intelligence in Education (2023)
🏅Best paper award nominee, 18th International Conference on Educational Data Mining (2025)
🏅Best demo (interactive event) award nominee, 25th International Conference on Artificial Intelligence in Education (2024)
🎤Our project received a seed grant from Carnegie Mellon University (CMU) and was featured in CMU News (2024)
🎤Our Journal paper was featured by a newsletter about AI in Education on LinkedIn (2024)
🎤Our Conference paper was featured by Campus Morning Mall (an Australian newspaper for higher education, 2023)
🎓Postgraduate Publication Award, Monash University
🎓Full PhD Scholarship, Monash University
🎓UC Berkeley Visiting Study Scholarship, Monash University
