Professor Gašević, Dragan
PhD
Chair Professor
Email: dgasevic@hku.hk
Office location: Room 414, Runme Shaw Building, HKU
Dragan Gašević is Chair Professor in the Faculty of Education and the School of Computing and Data Science at the University of Hong Kong. His research interests center around data analytic, AI, and design methods that can advance understanding of self-regulated and collaborative learning.
Previously, he was Distinguished Professor of Learning Analytics in the Department of Data Science and Artificial Intelligence of the Faculty of Information Technology and the Founding Director of the Centre for Learning Analytics (CoLAM) at Monash University. He was also a Professor and the Sir Tim O’Shea Chair in Learning Analytics and Informatics in the School of Informatics and the Moray House School of Education and Co-Director of the Centre for Research in Digital Education at the University of Edinburgh. He was the Canada Research Chair in Semantic and Learning Technologies and Professor in the School of Computing and Information Systems at Athabasca University.
Professor Gašević is a founder and served as the President of the Society for Learning Analytics Research (SoLAR), the world’s leading research and professional organization in learning analytics. He served as a founding program chair of the International Conference on Learning Analytics & Knowledge (LAK), general chair in 2016, founding program co-chair of the Learning Analytics Summer Institute (LASI), and founding editor of the Journal of Learning Analytics and Computers & Education: Artificial Intelligence.
From 2019 to 2025, Professor Gašević was recognized as the national field leader in educational technology in The Australian. He led the EU-funded SHEILA project, which received the Best Research Project of the Year Award from the Association for Learning Technology. In 2022, he received the Lifetime Member Award, the highest distinction of the Society for Learning Analytics Research (SoLAR), and was named a Distinguished Member of the Association for Computing Machinery (ACM).
His full list of publications can be found here.
Research Interests
Learning analytics, artificial intelligence in education, human-AI interaction, technology-enhanced learning, self-regulated learning, collaborative learning
Selected Publications
- K. Yang, Y. Cheng, L. Zhao, M. Raković, Z. Swiecki, D. Gašević, and G. Chen, “Ink and algorithm: Exploring temporal dynamics in generative AI-assisted writing,” British Journal of Educational Technology, 57(2), 508-534, 2026.
- Y. Fan, L. Tang, and D. Gašević, “Beware of metacognitive laziness: Effects of generative artificial intelligence on learning motivation, processes, and performance,” British Journal of Educational Technology, 56(2), 489-530, 2025.
- L. Yan, S. Greiff, J. M. Lodge, and D. Gašević, “Distinguishing performance gains from learning when using generative AI,” Nature Reviews Psychology, 4(7), 435-436, 2025.
- Y. Jin, R. Martinez-Maldonado, D. Gašević, and L. Yan, “GLAT: The generative AI literacy assessment test,” Computers and Education: Artificial Intelligence, 9, 100436, 2025.
- L. Sha, G. M. Fernandez-Nieto, Y. Li, Y. S. Tsai, G. Chen, J. Wen, D. Gašević, and Z. Swiecki, “ShareFlows: Seamless knowledge capture and proactive push for efficient teacher workflows in higher education,” Proceedings of the 30th International Conference on Intelligent User Interfaces, pp. 1242-1255, 2025.
- T. L. Huynh, T. Vu, W. Wang, T. Le, D. Gašević, Y. F. Li, and T. T. Do, “MixLoRA-DSI: Dynamically Expandable Mixture-of-LoRA Experts for Rehearsal-Free Generative Retrieval over Dynamic Corpora,” Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pp. 380-396, 2025.
- Y. Yan, S. Greiff, Z. Teuber, and D. Gašević, “Promises and challenges of generative artificial intelligence for human learning,” Nature Human Behavior, 8(10), 1839-1850, 2024.
- A. Darvishi, H. Khosravi, S. Sadiq, D. Gašević, and G. Siemens, “Impact of AI assistance on student agency,” Computers & Education, 210, 104967, 2024.
- D. Gašević, G. Siemens, and S. Sadiq, “Empowering learners for the age of artificial intelligence,” Computers & Education: Artificial Intelligence, 4, 100130, 2023.
- I. Molenaar, S. de Mooij, R. Azevedo, M. Bannert, S. Järvelä, and D. Gašević, “Measuring self-regulated learning and the role of AI: Five years of research using multimodal multichannel data,” Computers in Human Behavior, 139, 107540, 2023.
- Z. Swiecki, H. Khosravi, G. Chen, D. Gašević, “Assessment in the age of artificial intelligence,” Computers & Education: Artificial Intelligence, 3, 100075, 2022.
- H. Khosravi, S. Buckingham Shum, D. Gašević, “Explainable artificial intelligence in education,” Computers & Education: Artificial Intelligence, 3, 100074, 2022.
- G. J. Hwang, H. Xie, B. W. Wah, and D. Gašević, “Vision, challenges, roles and research issues of Artificial Intelligence in Education,” Computers and Education: Artificial Intelligence, 1, 100001, 2020.
- D. Gašević, S. Dawson, T. Rogers, and Danijela Gasevic, “Learning analytics should not promote one size fits all: The effects of instructional conditions in predicting academic success,” The Internet and Higher Education, 28, 68-84, 2016.
- D. Gašević, S. Dawson, and G. Siemens, “Let’s not forget: Learning analytics are about learning,” TechTrends, 59(1), 64-71, 2015.
Selected Grants
- “Unpacking development of self-regulated learning in primary school children,” Jacobs Foundation – LEVANTE, Mar 2026 – Feb 2030.
- “Assessments for writing with generative artificial intelligence,” Australian Research Council – Discovery Project, Aug 2024 – Jul 2027.
- “HARNESS: Hierarchical abstractions and reasoning for neuro-symbolic systems,” DARPA – Assured Neuro Symbolic Learning and Reasoning, Mar 2023 – Feb 2027.
- “Algorand Centre of Excellence (ACE) on Sustainability Informatics for the Pacific,” Algorand Foundation – Centre of Excellence, Aug 2022 – Jul 2023.
- “Large-scale multimodal knowledge management: From organization and user modeling to fast contextual presentation,” DARPA – KMASS, Aug 2022 – Jul 2025.
- “Teamwork analytics for training collaborative problem solving in professional higher education,” The Research Council of Norway – Researcher Project for Scientific Renewal, Jan 2022 – Dec 2025.
- “Center for Learning and Living with Artificial Intelligence,” Jacobs Foundation, Mar 2022 – Feb 2027.
- “Data analytics-based tools and methods to enhance self-regulated learning,” Australian Research Council – Discovery Grant, Jul 2022 – Jun 2025.
- “Using practice analytics to understand variation and support reflective practice,” Digital Health CRC Limited, Mar 2020 – Jun 2025.
- “Human-centred teamwork analytics,” Australian Research Council – Discovery Project, Jul 2021 – Jun 2024.
- “FLoRA: Facilitating self-regulated learning with personalized scaffolds on student’s own regulation activities,” ESRC, DFG, and NWO – Open Research Area, Feb 2019 – Jan 2023.
- “Data-Smart Schools: Enhancing the use of digital data within secondary schools,” Australian Research Council – Discovery Project, Jan 2019 – Dec 2022.
- “SHEILA: Supporting Higher Education to Incorporate Learning Analytics,” European Commission – Erasmus Plus, Nov 2015 – Oct 2018.
- “Tools and Methods to Help Learners Self-Regulate Learning and Increase Learning Success,” SSHRC – Insight Grants, Apr 2013 – Mar 2018.