Professor LIN, Jionghao

Research Interests

Learning Sciences, Learning Analytics, Artificial Intelligence in Education, Human Computer Interaction, Educational Data Mining, Machine Learning for Education, Learning Technologies, Intelligent Tutoring Systems, Automated Feedback, Discourse Analysis 

1. Best student paper award, 17th International Conference on Educational Data Mining (2024)
2. Best paper award, 26th International Conference on Human-Computer Interaction (2024)
3. Best paper award, 21st ACM International Conference on Multimodal Interaction (2019)
4. Best demo award, 24th International Conference on Artificial Intelligence in Education (2023)
5. Best demo (interactive event) award nominee, 25th International Conference on Artificial Intelligence in Education (2024)
6. Seed grant award from Carnegie Mellon University (CMU), featured in CMU News
7. Journal paper featured by a newsletter about AI in Education on LinkedIn
8. Conference paper featured by Campus Morning Mall (an Australian newspaper for higher education)

* denotes equal contribution. ♠ denotes corresponding author.

Peer-reviewed Journals:

[J11] Lin, J., Han, Z., Thomas, D. R., Gurung, A., Gupta, S., Aleven, V., & Koedinger, K. R. (2024). How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses. International Journal of Artificial Intelligence in Education, 1-27.

[J10] Dai, W., Tsai, Y. S., Lin, J., Aldino, A., Jin, H., Li, T., Gašević, D. & Chen, G. (2024). Assessing the Proficiency of Large Language Models in Automatic Feedback Generation: An Evaluation Study. Computers and Education: Artificial Intelligence, 7, 100299.

[J9] Zhao, L., Gašević, D., Swiecki, Z., Li, Y., Lin, J., Sha, L., Yan, L., Alfredo, R., Li, X. & Martinez‐Maldonado, R. (2024). Towards Automated Transcribing and Coding of Embodied Teamwork Communication Through Multimodal Learning Analytics. British Journal of Educational Technology.

[J8] Li, Y., Raković, M., Dai, W., Lin, J., Khosravi, H., Galbraith, K., Lyons, K., Gašević, D.,  & Chen, G. (2023). Are Deeper Reflectors Better Goal-Setters? AI-Empowered Analytics of Reflective Writing in Pharmaceutical Education. Computers and Education: Artificial Intelligence, 5, 100157.

[J7] Li, Y., Sha, L., Yan, L., Lin, J., Raković, M., Galbraith, K., Lyons, K., Gašević, D., & Chen, G. (2023). Can Large Language Models Write Reflectively. Computers and Education: Artificial Intelligence, 4, 100140.

[J6] Lin, J., Raković, M., Xie, H., Lang, D., Gašević, D., & Chen, G. (2023). On the Role of Politeness in Online Human–Human Tutoring. British Journal of Educational Technology, 55(1), 156-180.

[J5] Lin, J., Tan, W., Du, L., Buntine, W., Lang, D., Gašević, D., & Chen, G. (2023). Enhancing Educational Dialogue Act Classification with Discourse Context and Sample Informativeness. IEEE Transactions on Learning Technologies.

[J4] Chen, X., Zou, D., Xie, H., Chen, G., Lin, J., & Cheng, G. (2023). Exploring Contributors, Collaborations, and Research Topics in Educational Technology: A Joint Analysis of Mainstream Conferences. Education and Information Technologies, 28(2), 1323-1358.

[J3] Lin, J., Singh, S., Sha, L., Tan, W., Lang, D., Gašević, D., & Chen, G. (2022). Is It a Good Move? Mining Effective Tutoring Strategies from Human–Human Tutorial Dialogues. Future Generation Computer Systems, 127, 194-207. 

[J2] Sha, L., Raković, M., Lin, J., Guan, Q., Whitelock-Wainwright, A., Gašević, D., & Chen, G. (2022). Is the Latest the Greatest? A Comparative Study of Automatic Approaches for Classifying Educational Forum Posts. IEEE Transactions on Learning Technologies.

[J1] Oviatt, S., Lin, J., & Sriramulu, A. (2021). I Know What You Know: What Hand Movements Reveal About Domain Expertise. ACM Transactions on Interactive Intelligent Systems, 11(1), 1-26. 

Peer-reviewed Conference Proceedings:

[C15] Zhang, L., Yeasin, M., Lin, J., Havugimana, F., & Hu, X. (2025). Generative adversarial networks for imputing sparse learning performance. In International Conference on Pattern Recognition (pp. 381-396). Springer, Cham.

[C14] Borchers, C., Yang, K., Lin, J., Rummel, N., Koedinger, K. R., & Aleven, V. (2024). Combining Dialog Acts and Skill Modeling: What Chat Interactions Enhance Learning Rates During AI-Supported Peer Tutoring?. In Proceedings of the 17th International Conference on Educational Data Mining. (Best Student Paper Award)

[C13] Lin, J., Chen, E., Han, Z., Gurung, A., Thomas, D. R., Tan, W., Nguyen, N.D., & Koedinger, K. R. (2024). How Can I Improve? Using GPT to Highlight the Desired and Undesired Parts of Open-ended Responses. 17th International Conference on Educational Data Mining (pp. 117-130)

[C12] Zhang, L., Lin, J.♠, Borchers, C., Sabatini, J., Hollander, J., Cao, M., & Hu, X. (2024, June). Predicting Learning Performance with Large Language Models: A Study in Adult Literacy. In International Conference on Human-Computer Interaction (pp. 333-353). Cham: Springer Nature Switzerland. (Best Paper Award)

[C11] Thomas, D. R., Lin, J., Gatz, E., Gurung, A., Gupta, S., Norberg, K., Fancsali, S. E., Aleven, V., Branstetter, L., Brunskill, E., & Koedinger, K. R. (2024, March). Improving student learning with hybrid human-AI tutoring: A three-study quasi-experimental investigation. In Proceedings of the 14th Learning Analytics and Knowledge Conference (pp. 404-415).

[C10] Lin, J., Tan, W., Dang Nguyen, N., Lang, D., Du, L., Buntine, W., Beare, R., Chen, G., and Gašević, D. (2023). Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets. In Proceedings of the 24th International Conference on Artificial Intelligence in Education. 

[C9] Tan, W., Lin, J.♠, Lang, D., Chen, G., Gašević, D., Du, L., & Buntine, W. (2023). Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification. In Proceedings of the 24th International Conference on Artificial Intelligence in Education.

[C8] Dai, W., Lin, J., Jin, F., Li, T., Tsai, Y., Gašević, D., & Chen, G. (2023). Can Large Language Models Provide Feedback to Students? A Case Study on ChatGPT. In Proceedings of the 23rd IEEE International Conference on Advanced Learning Technologies.

[C7] Lin, J., Dai, W., Lim, L. A., Tsai, Y. S., Mello, R. F., Khosravi, H., Gašević, D., & Chen, G. (2023). Learner-centred Analytics of Feedback Content in Higher Education. In Proceedings of the 13th International Learning Analytics and Knowledge Conference (pp. 100-110). 

[C6] Lin, J., Sha, L., Li, Y., Gašević, D., & Chen, G. (2022). Establishing Trustworthy Artificial Intelligence in Automated Feedback. AIED 2022 Workshop - Interdisciplinary Approaches to Getting AI Experts and Education Stakeholders Talking.

[C5] Lin, J., Raković, M., Lang, D., Gašević, D., & Chen, G. (2022). Exploring the Politeness of Instructional Strategies from Human-Human Online Tutoring Dialogues. In Proceedings of the 12th International Learning Analytics and Knowledge Conference (pp. 282-293). 

[C4] `Floyd'Mueller, F., Dwyer, T., Goodwin, S., Marriott, K., Deng, J., D. Phan, H., Lin, J., Chen, K., Wang, Y., & Ashok Khot, R. (2021). Data as Delight: Eating data. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (pp. 1-14).

[C3] Lin, J., Lang, D., Xie, H., Gašević, D., & Chen, G. (2020). Investigating the Role of Politeness in Human-Human Online Tutoring. In Proceedings of the 21st International Conference on Artificial Intelligence in Education (pp. 174-179). Springer.

[C2] Lin, J., Pan, S., Lee, C. S., & Oviatt, S. (2019). An Explainable Deep Fusion Network for Affect Recognition Using Physiological Signals. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (pp. 2069-2072).

[C1] Sriramulu, A.*, Lin, J.*, & Oviatt, S.* (2019). Dynamic Adaptive Gesturing Predicts Domain Expertise in Mathematics. In Proceedings of the 21st ACM International Conference on Multimodal Interaction (pp. 105-113). (Best Paper Award)

Program Committee Member for Academic Conferences (Selected):

• International Learning Analytics and Knowledge Conference 
• International Conference on Artificial Intelligence in Education 
• International Conference on Educational Data Mining 
• ACM Learning at Scale Conference
• ACM CHI conference on Human Factors in Computing Systems
• 27th International Conference on Pattern Recognition

Invited Reviewer for Academic Journals (Selected):

• International Journal of Artificial Intelligence in Education 
• Journal of Learning Analytics 
• Journal of Educational Data Mining 
• British Journal of Educational Technology 
• IEEE Transactions on Learning Technologies
• Computers and Education
• International Journal of Human-Computer Interaction 
• Neurocomputing 

Other Professional Community Services (Selected):

• Member of the Society for Learning Analytics Research (2020 - Current)
• Member of the International Artificial Intelligence in Education Society (2020 - Current)
• Member of the Association for Computing Machinery, ACM (2020 - Current)
• Mentor of the LearnLab Summer School at Carnegie Mellon University (2024)
• Mentor of the Doctoral Consortium at the 25th International Conference on Artificial Intelligence in Education (2024)
• Co-organizer of the Conference Workshop From Data to Discovery: LLMs for Qualitative Analysis in Education at the 15th International Learning Analytics and Knowledge Conference (2025)
• Co-organizer of the Conference Workshop Generative AI for Learning Analytics (GenAI-LA): Exploring Practical Tools and Methodologies at the 14th International Learning Analytics and Knowledge Conference (2024)
• Committee Member at the International Consortium ALTTAI (the Advanced Learning, Theories, Technologies, Applications, and Impacts Consortium), initiated by the Institute for Intelligent Systems at the University of Memphis, USA (2023 - Current)
• Student Volunteer of the 24th International Conference on Artificial Intelligence in Education (2023)
• Student Volunteer of the 13th International Learning Analytics and Knowledge Conference (2023)
• Student Volunteer of the Conference on Empowering Learners for the Age of AI (2021)

Teaching List (2019-present)

• BSIM4024 Fundamentals of Object-Oriented Programming (Undergraduate). Faculty of Education, The University of Hong Kong, 2024-25, Semester 2
• BSDS3003 Data processing and visualization (Undergraduate). Faculty of Education, The University of Hong Kong, 2024-25, Semester 2
• HCI05-899 Learning Analytics and Educational Data Science (Graduate level, Guest Lecturer). Department of Human Computer Interaction Institute, Carnegie Mellon University (Pittsburgh, USA) 2023, Fall Semester
• FIT3179 Data Visualization (Undergraduate). Faculty of Information Technology, Monash University (Clayton, Australia), 2022, Semester II
• FIT5145 Introduction to Data Science (Postgraduate). Faculty of Information Technology, Monash University (Clayton, Australia), 2022, Semester I & II
• FIT5097 Business Intelligent Modelling (Postgraduate). Faculty of Information Technology, Monash University (Caulfield, Australia), 2019, Semester II
• FIT5202 Data Processing for Big Data (Postgraduate). Faculty of Information Technology, Monash University (Caulfield, Australia), 2019, Semester II
• FIT5125 IT Research Methods (Postgraduate). Faculty of Information Technology, Monash University (Caulfield, Australia), 2019, Semester II

Management of Research Team

1. Academic Independence: Research autonomy is highly valued, with no strict expectations regarding working or resting hours.

2. Regular Meetings: Attendance at regular individual meetings is required. Reports (note or slides) can be freely formatted.

3. Internal submission deadline: Full drafts should be submitted at least 7 days before the final deadline, which is the internal deadline to allow enough time for review.

4. Open communication: Group members can provide feedback—anonymously if needed—on group dynamics, project direction, or any other concerns. This open communication channel ensures that everyone feels heard and valued.

5. Diversity, Equity and Inclusion: An inclusive group is one where everyone feels the sense of belonging. There is a zero-tolerance policy for discrimination, harassment, or any form of misconduct.