Hassan Khosravi is an Associate Professor in Data Science and Learning Analytics at The University of Queensland with primary appointment in the School of Electrical Engineering & Computer Science. He additionally holds affiliate Associate Professor positions in the Faculty of Humanities, Arts and Social Sciences, specifically with the School of Education and Humanities and Social Sciences. His academic work bridges computer science with educational innovation, focusing on how artificial intelligence can transform learning experiences and enhance student outcomes. Dr. Khosravi earned his PhD from Simon Fraser University and has built an extensive teaching career across three leading institutions: Simon Fraser University, University of British Columbia in Canada, and The University of Queensland in Australia. He has coordinated 30 different course offerings across 10 distinct courses for approximately 7,000 students, with class sizes ranging from 50 to 700. His teaching portfolio spans introductory programming, data structures and algorithms, artificial intelligence, database management systems, and graduate-level data science courses. His research program focuses on the intersection of data science, learning analytics, and educational technologies. Dr. Khosravi draws on theoretical insights from learning sciences and techniques from human-centered AI to develop technological solutions that enhance student learning. Key research areas include: Educational Technologies and Learning Analytics Human-AI Interaction in educational contexts Explainable AI for educational applications Crowdsourcing approaches to educational system development Statistical-relational learning applications in education Peer assessment and feedback systems enhanced by AI Analysis of Dr. Khosravi's recent publications (2024-2025) reveals a significant shift toward practical applications of generative AI in educational settings. His work demonstrates increasing focus on large language models for feedback systems, peer assessment enhancement, and student content creation. His research shows expanding interdisciplinary reach, connecting computer science with chemistry education, cognitive psychology, and research ethics. The publications indicate a clear progression from foundational machine learning work toward applied educational technologies that address real classroom challenges. Dr. Khosravi has been recognized with a Senior Fellowship from the Higher Education Academy, awarded in recognition of his contributions to effective teaching approaches and his coordination, supervision, management, and mentoring of others in educational contexts. As a research supervisor, Dr. Khosravi currently advises four PhD students as principal or associate advisor, with research topics spanning dataset building, cyber safety education for seniors, complex problem-solving with GenAI, and learning analytics applications in chemistry education. He has successfully completed supervision of seven PhD students whose work focused on synergizing learning sciences with analytics, insightful action recommendations in dashboards, AI for peer review improvement, and language learning behaviors. His supervision approach emphasizes interdisciplinary collaboration, often working with co-advisors from education, psychology, and domain-specific fields. Dr. Khosravi is actively engaged in major research funding initiatives, currently as a key participant in the ARC Training Centre for Information Resilience (2021-2026). Previously, he contributed to an ARC Discovery Grant focused on data analytics tools for self-regulated learning (2022-2025) led by Monash University. His work is organized around developing practical educational technologies, particularly through the RiPPLE platform and other systems that leverage learnersourcing and adaptive learning approaches to create scalable educational solutions.
