Hassan Khosravi

Dr Hassan Khosravi is an Associate Professor in Data Science and Learning Analytics at The University of Queensland. As a computer scientist by training, he is passionate about the role of artificial intelligence in the future of education. In his research, he draws on theoretical insights driven from the learning sciences and exemplary techniques from the fields of human-centred AI and crowdsourcing to build technological solutions that enhance student learning and experience. His past research and publications have addressed a number of diverse topics such as learning graphical models, statistical-relational learning, social network analysis, cybersecurity and game theory. Hassan's teaching career includes coordinating 30 different offerings with class sizes ranging from 50 to 700, in 10 distinct courses to a total of approximately 7000 students at three top-ranked institutions: Simon Fraser University (SFU) and The University of British Columbia (UBC) in Canada, and The University of Queensland (UQ) in Australia. He has taught a range of courses including introductory programming courses, data structures and algorithms, artificial intelligence, database management systems as well as graduate-level data science courses. he also leads and teaches into a variety of formal and programs that mentor and foster the next generation of great teachers. These programs cover a wide variety of topics, including student-centred learning, active learning tools and strategies, supporting assessment design and delivery at scale, and enhancing teaching with learning analytics. Hassan holds a Senior Fellowship with the Higher Education Academy, which has been awarded in recognition of his contributions to effective approaches to teaching and learning as well as successful coordination, support, supervision, management and mentoring of others in relation to learning and teaching. Educational Technologies and Learning Analytics, AI in Education

[2026] Retrieval-Augmented Contrastive Learning for Knowledge Tracing. Berahmand, Kamal, Mohammadi, Mehrnoush, Babai, Homa and Khosravi, Hassan (2026). Retrieval-Augmented Contrastive Learning for Knowledge Tracing. New York, NY, USA: ACM. doi: 10.1145/3805712.3809966 [2026] AI assistance in peer feedback provision: pedagogically sound, but minimally adopted. Pozdniakov, Stanislav, Brazil, Jonathan, Banihashem, Seyyed Kazem, Noroozi, Omid, Gašević, Dragan, Sadiq, Shazia and Khosravi, Hassan (2026). AI assistance in peer feedback provision: pedagogically sound, but minimally adopted. Computers and Education, 248 105591, 1-20. doi: 10.1016/j.compedu.2026.105591 [2026] Directive, metacognitive, or a blend of both? A comparison of AI-generated feedback types on student engagement, confidence,