| 2026 | SIGIR | Retrieval-Augmented Contrastive Learning for Knowledge Tracing. | Kamal Berahmand, Mehrnoush Mohammadi, Homa Babai, Hassan Khosravi |
| 2025 | AIED | XAI-Ed: Half-Day Workshop on Pedagogy-Founded Explainable AI for Transparent, User-Centered AI in Education. | Hasan Abu-Rasheed, Mutlu Cukurova, Hassan Khosravi, Jeroen Ooge, Christian Weber |
| 2025 | AIED | Knowledge Tracing with A Temporal Hypergraph Memory Network. | Mehrnoush Mohammadi, Kamal Berahmand, Shazia Sadiq, Hassan Khosravi |
| 2025 | AIED | From Misunderstandings to Learning Opportunities: Leveraging Generative AI in Discussion Forums to Support Student Learning. | Stanislav Pozdniakov, Jonathan Brazil, Oleksandra Poquet, Stephan Krusche, Santiago Berrezueta-Guzman, Shazia Sadiq, Hassan Khosravi |
| 2025 | LAK | Turning Real-Time Analytics into Adaptive Scaffolds for Self-Regulated Learning Using Generative Artificial Intelligence. | Tongguang Li, Debarshi Nath, Yixin Cheng, Yizhou Fan, Xinyu Li, Mladen Rakovic, Hassan Khosravi, Zachari Swiecki, Yi-Shan Tsai, Dragan Gasevic |
| 2024 | LAK | Navigating (Dis)agreement: AI Assistance to Uncover Peer Feedback Discrepancies. | M. Parvez Rashid, Edward F. Gehringer, Hassan Khosravi |
| 2023 | AIED | Empowering Education with LLMs - The Next-Gen Interface and Content Generation. | Steven Moore, Richard Jiarui Tong, Anjali Singh, Zitao Liu, Xiangen Hu, Yu Lu, Joleen Liang, Chen Cao, Hassan Khosravi, Paul Denny, Christopher Brooks, John C. Stamper |
| 2023 | LAK | Learner-centred Analytics of Feedback Content in Higher Education. | Jionghao Lin, Wei Dai, Lisa-Angelique Lim, Yi-Shan Tsai, Rafael Ferreira Mello, Hassan Khosravi, Dragan Gasevic, Guanliang Chen |
| 2022 | AIED | Incorporating AI and Analytics to Derive Insights from E-exam Logs. | Hatim Lahza, Hassan Khosravi, Gianluca Demartini |
| 2022 | LAK | Effects of Technological Interventions for Self-regulation: A Control Experiment in Learnersourcing. | Hatim Lahza, Hassan Khosravi, Gianluca Demartini, Dragan Gasevic |
| 2021 | AIED | Open Learner Models for Multi-activity Educational Systems. | Solmaz Abdi, Hassan Khosravi, Shazia Sadiq, Ali Darvishi |
| 2021 | LAK | Modelling Learners in Adaptive Educational Systems: A Multivariate Glicko-based Approach. | Solmaz Abdi, Hassan Khosravi, Shazia Sadiq |
| 2021 | LAK | Charting the Design and Analytics Agenda of Learnersourcing Systems. | Hassan Khosravi, Gianluca Demartini, Shazia Sadiq, Dragan Gasevic |
| 2020 | AIED | Modelling Learners in Crowdsourcing Educational Systems. | Solmaz Abdi, Hassan Khosravi, Shazia Sadiq |
| 2020 | AIED | Recommending Insightful Drill-Downs Based on Learning Processes for Learning Analytics Dashboards. | Shiva Shabaninejad, Hassan Khosravi, Sander J. J. Leemans, Shazia Sadiq, Marta Indulska |
| 2020 | ER | Identifying Cohorts: Recommending Drill-Downs Based on Differences in Behaviour for Process Mining. | Sander J. J. Leemans, Shiva Shabaninejad, Kanika Goel, Hassan Khosravi, Shazia Sadiq, Moe Thandar Wynn |
| 2020 | ER | Identifying Cohorts that Differ in their Behaviour: Tool Support. | Sander J. J. Leemans, Shiva Shabaninejad, Kanika Goel, Hassan Khosravi, Shazia Sadiq, Moe Thandar Wynn |
| 2020 | LAK | Complementing educational recommender systems with open learner models. | Solmaz Abdi, Hassan Khosravi, Shazia Sadiq, Dragan Gasevic |
| 2020 | LAK | Fostering and supporting empirical research on evaluative judgement via a crowdsourced adaptive learning system. | Hassan Khosravi, George Gyamii, Barbara E. Hanna, Jason M. Lodge |
| 2020 | LAK | Automated insightful drill-down recommendations for learning analytics dashboards. | Shiva Shabaninejad, Hassan Khosravi, Marta Indulska, Aneesha Bakharia, Pedro T. Isaas |
| 2020 | SIGCSE | Development and Adoption of an Adaptive Learning System: Reflections and Lessons Learned. | Hassan Khosravi, Shazia Sadiq, Dragan Gasevic |
| 2019 | EDM | A Multivariate ELO-based Learner Model for Adaptive Educational Systems. | Solmaz Abdi, Hassan Khosravi, Shazia Sadiq, Dragan Gasevic |
| 2018 | AIED | Reciprocal Content Recommendation for Peer Learning Study Sessions. | Boyd A. Potts, Hassan Khosravi, Carl Reidsema |
| 2018 | LAK | Graph-based visual topic dependency models: supporting assessment design and delivery at scale. | Kendra M. L. Cooper, Hassan Khosravi |
| 2018 | LAK | Reciprocal peer recommendation for learning purposes. | Boyd A. Potts, Hassan Khosravi, Carl Reidsema, Aneesha Bakharia, Mark Belonogoff, Melanie Fleming |
| 2017 | EDM | RiPLE: Recommendation in Peer-Learning Environments Based on Knowledge Gaps and Interests. | Hassan Khosravi, Kendra M. L. Cooper, Kirsty Kitto |
| 2017 | SIGCSE | Using Learning Analytics to Investigate Patterns of Performance and Engagement in Large Classes. | Hassan Khosravi, Kendra M. L. Cooper |
| 2013 | CIDM | Transaction-based link strength prediction in a social network. | Hassan Khosravi, Ali Bozorgkhan, Oliver Schulte |
| 2012 | ILP | Fast Parameter Learning for Markov Logic Networks Using Bayes Nets. | Hassan Khosravi |
| 2011 | ILP | Learning Compact Markov Logic Networks with Decision Trees. | Hassan Khosravi, Oliver Schulte, Jianfeng Hu, Tianxiang Gao |
| 2011 | ILP | Learning Directed Relational Models with Recursive Dependencies. | Oliver Schulte, Hassan Khosravi, Tong Man |
| 2010 | AAAI | Structure Learning for Markov Logic Networks with Many Descriptive Attributes. | Hassan Khosravi, Oliver Schulte, Tong Man, Xiaoyuan Xu, Bahareh Bina |
| 2010 | AI | A Survey on Statistical Relational Learning. | Hassan Khosravi, Bahareh Bina |
| 2010 | AI | The IMAP Hybrid Method for Learning Gaussian Bayes Nets. | Oliver Schulte, Gustavo Frigo, Russell Greiner, Hassan Khosravi |
| 2009 | AI | Exploratory Analysis of Co-Change Graphs for Code Refactoring. | Hassan Khosravi, Recep Colak |
| 2009 | CIDM | A new hybrid method for Bayesian network learning With dependency constraints. | Oliver Schulte, Gustavo Frigo, Russell Greiner, Wei Luo, Hassan Khosravi |
| 2009 | ICDM | LNBC: A Link-Based Naive Bayes Classifier. | Bahareh Bina, Oliver Schulte, Hassan Khosravi |
| 2008 | CSICC | TACtic- A Multi Behavioral Agent for Trading Agent Competition. | Hassan Khosravi, Mohammad E. Shiri, Hamid Khosravi, Ehsan Iranmanesh, Alireza Davoodi |