Dr Hassan Khosravi
Affiliate Associate Professor of School of Education
School of Education
Researcher biography
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.
Publications
Book Chapter
Pozdniakov, Stanislav, Martinez-Maldonado, Roberto, Singh, Shaveen, Khosravi, Hassan and Gašević, Dragan (2023). Using learning analytics to support teachers. Handbook of Artificial Intelligence in Education. (pp. 322-349) Cheltenham, United Kingdom: Edward Elgar.
Journal Articles
Longo, Luca, Brcic, Mario, Cabitza, Federico, Choi, Jaesik, Confalonieri, Roberto, Ser, Javier Del, Guidotti, Riccardo, Hayashi, Yoichi, Herrera, Francisco, Holzinger, Andreas, Jiang, Richard, Khosravi, Hassan, Lecue, Freddy, Malgieri, Gianclaudio, Páez, Andrés, Samek, Wojciech, Schneider, Johannes, Speith, Timo and Stumpf, Simone (2024). Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions. Information Fusion, 106 102301, 102301. doi: 10.1016/j.inffus.2024.102301
Gyamfi, George, Hanna, Barbara E. and Khosravi, Hassan (2024). Impact of an instructional guide and examples on the quality of feedback: insights from a randomised controlled study. Educational technology research and development. doi: 10.1007/s11423-024-10346-0
Bond, Melissa, Khosravi, Hassan, De Laat, Maarten, Bergdahl, Nina, Negrea, Violeta, Oxley, Emily, Pham, Phuong, Chong, Sin Wang and Siemens, George (2024). A meta systematic review of artificial intelligence in higher education: a call for increased ethics, collaboration, and rigour. International Journal of Educational Technology in Higher Education, 21 (1) ARTN 4. doi: 10.1186/s41239-023-00436-z
Khosravi, Hassan, Viberg, Olga, Kovanovic, Vitomir and Ferguson, Rebecca (2023). Generative AI and learning analytics. Journal of Learning Analytics, 10 (3), 1-6. doi: 10.18608/jla.2023.8333
Darvishi, Ali, Khosravi, Hassan, Sadiq, Shazia, Gašević, Dragan and Siemens, George (2023). Impact of AI assistance on student agency. Computers & Education, 210 104967, 104967. doi: 10.1016/j.compedu.2023.104967
Ferguson, Rebecca, Khosravi, Hassan, Kovanović, Vitomir, Viberg, Olga, Aggarwal, Ashish, Brinkhuis, Matthieu, Buckingham Shum, Simon, Chen, Lujie Karen, Drachsler, Hendrik, Guerrero, Valerie A., Hanses, Michael, Hayward, Caitlin, Hicks, Ben, Jivet, Ioana, Kitto, Kirsty, Kizilcec, René, Lodge, Jason M., Manly, Catherine A., Matz, Rebecca L., Meaney, Michael J., Ochoa, Xavier, Schuetze, Brendan A., Spruit, Marco, Van Haastrecht, Max, Van Leeuwen, Anouschka, Van Rijn, Lars, Tsai, Yi-Shan, Weidlich, Joshua, Williamson, Kimberly and Yan, Veronica X. (2023). Aligning the Goals of Learning Analytics with its Research Scholarship : An Open Peer Commentary Approach. Journal of Learning Analytics, 10 (2), 14-50. doi: 10.18608/jla.2023.8197
Khosravi, Hassan, Denny, Paul, Moore, Steven and Stamper, John (2023). Learnersourcing in the age of AI: student, educator and machine partnerships for content creation. Computers and Education: Artificial Intelligence, 5 100151, 1-20. doi: 10.1016/j.caeai.2023.100151
Hilliger, Isabel, Khosravi, Hassan, Rienties, Bart and Dawson, Shane (2023). Lak23 conference proceedings towards trustworthy learning analytics. ACM International Conference Proceeding Series, iii-iv. doi: 10.1145/3576050
Lahza, Hatim, Smith, Tammy G. and Khosravi, Hassan (2023). Beyond item analysis: connecting student behaviour and performance using e‐assessment logs. British Journal of Educational Technology, 54 (1), 335-354. doi: 10.1111/bjet.13270
Khosravi, Hassan, Institute for Teaching and Learning Innovation, University of Queensland, Sadiq, Shazia, Amer-Yahia, Sihem, School of Information Technology and Electrical Engineering Faculty of Engineering, Architecture and Information Technology, , University of Queensland and Centre National de Recherche scientifique (CNRS), Univ. Grenoble Alpes, Grenoble, France (2023). Data management of AI-powered education technologies: Challenges and opportunities. Journal of Learning Letters. doi: 10.59453//xlud7002
Pozdniakov, Stanislav, Martinez-Maldonado, Roberto, Singh, Shaveen, Khosravi, Hassan and Gasevic, Dragan (2023). Using learning analytics to support teachers. Handbook of Artificial Intelligence in Education, 5, 322-349.
Li, Yuheng, Raković, Mladen, Dai, Wei, Lin, Jionghao, Khosravi, Hassan, Galbraith, Kirsten, Lyons, Kayley, Gašević, Dragan and Chen, Guanliang (2023). Are deeper reflectors better goal-setters? AI-empowered analytics of reflective writing in pharmaceutical education. Computers and Education: Artificial Intelligence, 5 100157, 1-10. doi: 10.1016/j.caeai.2023.100157
Darvishi, Ali, Khosravi, Hassan, Rahimi, Afshin, Sadiq, Shazia and Gasevic, Dragan (2022). Assessing the quality of student-generated content at scale: a comparative analysis of peer review models. IEEE Transactions on Learning Technologies, 16 (1), 106-120. doi: 10.1109/tlt.2022.3229022
Lahza, Hatim, Khosravi, Hassan and Demartini, Gianluca (2022). Analytics of learning tactics and strategies in an online learnersourcing environment. Journal of Computer Assisted Learning, 39 (1), 94-112. doi: 10.1111/jcal.12729
Darvishi, Ali, Khosravi, Hassan, Sadiq, Shazia and Gašević, Dragan (2022). Incorporating
AI
and learning analytics to build trustworthy peer assessment systems. British Journal of Educational Technology, 53 (4), 844-875. doi: 10.1111/bjet.13233
Swiecki, Zachari, Khosravi, Hassan, Chen, Guanliang, Martinez-Maldanado, Roberto, Lodge, Jason, Milligan, Sandra, Selwyn, Neil and Gašević, Dragan (2022). Assessment in the age of artificial intelligence. Computers and Education: Artificial Intelligence, 3 100075, 1-10. doi: 10.1016/j.caeai.2022.100075
Khosravi, Hassan, Shum, Simon Buckingham, Chen, Guanliang, Conati, Cristina, Gasevic, Dragan, Kay, Judy, Knight, Simon, Martinez-Maldonado, Roberto, Sadiq, Shazia and Tsai, Yi-Shan (2022). Explainable Artificial Intelligence in education. Computers and Education: Artificial Intelligence, 3 100074, 1-22. doi: 10.1016/j.caeai.2022.100074
Sadiq, Shazia, Aryani, Amir, Demartini, Gianluca, Hua, Wen, Indulska, Marta, Burton-Jones, Andrew, Khosravi, Hassan, Benavides-Prado, Diana, Sellis, Timos, Someh, Ida, Vaithianathan, Rhema, Wang, Sen and Zhou, Xiaofang (2022). Information resilience: the nexus of responsible and agile approaches to information use. The VLDB Journal, 31 (5), 1059-1084. doi: 10.1007/s00778-021-00720-2
Gyamfi, George, Hanna, Barbara and Khosravi, Hassan (2021). Supporting peer evaluation of student-generated content: a study of three approaches. Assessment and Evaluation in Higher Education, 47 (7), 1-19. doi: 10.1080/02602938.2021.2006140
Khosravi, Hassan, Gyamfi, George, Hanna, Barbara E., Lodge, Jason and Abdi, Solmaz (2021). Bridging the gap between theory and empirical research in evaluative judgment. Journal of Learning Analytics, 8 (3), 1-16. doi: 10.18608/jla.2021.7206
Khosravi, Hassan, Shabaninejad, Shiva, Bakharia, Aneesha, Sadiq, Shazia, Indulska, Marta and Gašević, Dragan (2021). Intelligent learning analytics dashboards: automated drill-down recommendations to support teacher data exploration. Journal of Learning Analytics, 8 (3), 133-154. doi: 10.18608/jla.2021.7279
McDonald, Aaron, McGowan, Heath, Dollinger, Mollie, Naylor, Ryan and Khosravi, Hassan (2021). Repositioning students as co-creators of curriculum for online learning resources. Australasian Journal of Educational Technology, 37 (6), 102-118. doi: 10.14742/ajet.6735
Darvishi, Ali, Khosravi, Hassan, Sadiq, Shazia and Weber, Barbara (2021). Neurophysiological measurements in higher education: a systematic literature review. International Journal of Artificial Intelligence in Education, 32 (2), 413-453. doi: 10.1007/s40593-021-00256-0
Gyamfi, George, Hanna, Barbara E. and Khosravi, Hassan (2021). The effects of rubrics on evaluative judgement: a randomised controlled experiment. Assessment and Evaluation in Higher Education, 47 (1), 1-18. doi: 10.1080/02602938.2021.1887081
Abdi, Solmaz, Khosravi, Hassan, Sadiq, Shazia and Demartini, Gianluca (2021). Evaluating the quality of learning resources: a Learnersourcing approach. IEEE Transactions on Learning Technologies, 14 (1) 9353264, 81-92. doi: 10.1109/tlt.2021.3058644
Khosravi, Hassan, Kitto, Kirsty and Williams, Joseph Jay (2019). RiPPLE: a crowdsourced adaptive platform for recommendation of learning activities. Journal of Learning Analytics, 6 (3), 91-105. doi: 10.18608/jla.2019.63.12
Cooper, Kendra and Khosravi, Hassan (2019). Multilevel visualisation of topic dependency models for assessment design and delivery: a hypergraph based approach. Journal of Visual Language and Computing, 2019 (2), 69-82. doi: 10.18293/JVLC2019-N2-018
Khosravi, Hassan and Cooper, Kendra (2018). Topic dependency models: graph-based visual analytics for communicating assessment data. Journal of Learning Analytics, 5 (3), 136-153. doi: 10.18608/jla.2018.53.9
Coombe, Leanne, Huang, Jasmine, Russell, Stuart, Sheppard, Karen and Khosravi, Hassan (2018). Students as partners in action: evaluating a university-wide initiative. International Journal for Students as Partners, 2 (2), 85-95. doi: 10.15173/ijsap.v2i2.3576
Schulte, Oliver, Khosravi, Hassan, Kirkpatrick, Arthur E., Gao, Tianxiang and Zhu, Yuke (2014). Modelling relational statistics with Bayes Nets. Machine Learning, 94 (1), 105-125. doi: 10.1007/s10994-013-5362-7
Schulte, Oliver, Khosravi, Hassan and Man, Tong (2012). Learning directed relational models with recursive dependencies. Machine Learning, 89 (3), 299-316. doi: 10.1007/s10994-012-5308-5
Khosravi, Hassan, Schulte, Oliver, Hu, Jianfeng and Gao, Tianxiang (2012). Learning compact Markov logic networks with decision trees. Machine Learning, 89 (3), 257-277. doi: 10.1007/s10994-012-5307-6
Schulte, Oliver and Khosravi, Hassan (2012). Learning graphical models for relational data via lattice search. Machine Learning, 88 (3), 331-368. doi: 10.1007/s10994-012-5289-4
Bakker, L., Hare, W., Khosravi, H. and Ramadanovic, B. (2010). A social network model of investment behaviour in the stock market. Physica A: Statistical Mechanics and its Applications, 389 (6), 1223-1229. doi: 10.1016/j.physa.2009.11.013
Conference Papers
Rashid, M Parvez, Gehringer, Edward and Khosravi, Hassan (2024). Navigating (Dis)agreement: AI Assistance to Uncover Peer Feedback Discrepancies. 14th Annual International Conference on Learning Analytics and Knowledge (LAK) - Learning Analytics in the Age of Artificial Intelligence, Kyoto Japan, Mar 18-22, 2024. New York, NY, USA: ACM. doi: 10.1145/3636555.3636931
Li, Tongguang, Fan, Yizhou, Srivastava, Namrata, Zeng, Zijie, Li, Xinyu, Khosravi, Hassan, Tsai, Yi-Shan, Swiecki, Zachari and Gašević, Dragan (2024). Analytics of Planning Behaviours in Self-Regulated Learning: Links with Strategy Use and Prior Knowledge. 14th Annual International Conference on Learning Analytics and Knowledge (LAK) - Learning Analytics in the Age of Artificial Intelligence, Kyoto Japan, Mar 18-22, 2024. New York, NY, USA: ACM. doi: 10.1145/3636555.3636900
Baade, Lauren, Kartsonaki, Effie, Khosravi, Hassan and Lawrie, Gwendolyn (2023). Examining links between students’ mental imagistic abilities and their perceptions of chemical representations. The Australian Conference on Science and Mathematics Education, Hobart, TAS Australia, 30 August - 1 September 2023.
Lin, Jionghao, Dai, Wei, Lim, Lisa-Angelique, Tsai, Yi-Shan, Mello, Rafael Ferreira, Khosravi, Hassan, Gasevic, Dragan and Chen, Guanliang (2023). Learner-centred analytics of feedback content in higher education. LAK23: 13th International Learning Analytics and Knowledge Conference, Arlington, TX USA, 13-17 March 2023. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3576050.3576064
Moore, Steven, Tong, Richard, Singh, Anjali, Liu, Zitao, Hu, Xiangen, Lu, Yu, Liang, Joleen, Cao, Chen, Khosravi, Hassan, Denny, Paul, Brooks, Chris and Stamper, John (2023). Workshop on Empowering Education with LLMs - the Next-Gen Interface and Content Generation. Workshop on Empowering Education with LLMs - the Next-Gen Interface and Content Generation 2023 (AIEDLLM 2023), Tokyo, Japan, 7 July 2023. Aachen, Germany: CEUR.
Moore, Steven, Tong, Richard, Singh, Anjali, Liu, Zitao, Hu, Xiangen, Lu, Yu, Liang, Joleen, Cao, Chen, Khosravi, Hassan, Denny, Paul, Brooks, Chris and Stamper, John (2023). Empowering education with LLMs - the Next-Gen Interface and Content Generation . 24th International Conference, AIED 2023, Tokyo, Japan, 3–7 July 2023. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-36336-8_4
Ocaña, Mauro, Khosravi, Hassan and Bakharia, Aneesha (2022). Profiling language learners in the big data era. ASCILITE 2019 Conference Proceedings: Personalised Learning. Diverse Goals. One Heart, Singapore, Singapore, 2-5 December 2019. Tugun, QLD Australia: Australasian Society for Computers in Learning in Tertiary Education. doi: 10.14742/apubs.2019.269
Baade, Lauren, Lawrie, Gwendolyn, Kartsonaki, Effie and Khosravi, Hassan (2022). Exploring the relationship between mental imagistic ability and students’ representational competence and fluency in chemistry. Australian Conference on Science and Mathematics Education, Perth, WA Australia, 28 - 30 September 2022.
Lahza, Hatim Fareed, Khosravi, Hassan and Demartini, Gianluca (2022). Incorporating AI and Analytics to Derive Insights from E-exam Logs. 23rd International Conference of Artificial Intelligence in Education AIED 2022, Durham, United Kingdom, 27–31 July 2022. Heidelberg, Germany: Springer. doi: 10.1007/978-3-031-11644-5_78
Darvishi, Ali, Khosravi, Hassan, Abdi, Solmaz, Sadiq, Shazia and Gašević, Dragan (2022). Incorporating training, self-monitoring and AI-assistance to improve peer feedback quality. L@S '22: Proceedings of the Ninth ACM Conference on Learning @ Scale, New York, NY, United States, 1 - 3 June 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3491140.3528265
Shabaninejad, Shiva, Khosravi, Hassan, Abdi, Solmaz, Indulska, Marta and Sadiq, Shazia (2022). Incorporating explainable learning analytics to assist educators with identifying students in need of attention. L@S '22: Ninth ACM Conference on Learning @ Scale, New York, NY, United States, 1-3 June 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3491140.3528292
Moore, Steven, Stamper, John, Brooks, Christopher, Denny, Paul and Khosravi, Hassan (2022). Learnersourcing: student-generated content@Scale. L@S '22: Ninth (2022) ACM Conference on Learning @ Scale, New York, NY USA, 1-3 June 2022. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3491140.3528286
Lahza, Hatim, Khosravi, Hassan, Demartini, Gianluca and Gasevic, Dragan (2022). Effects of technological interventions for self-regulation: a control experiment in learnersourcing. LAK22: 12th International Learning Analytics and Knowledge Conference, Virtual, United States, 21 - 25 March 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3506860.3506911
Darvishi, Ali, Khosravi, Hassan and Sadiq, Shazia (2021). Employing peer review to evaluate the quality of student generated content at scale: a trust propagation approach. L@S '21: Proceedings of the Eighth ACM Conference on Learning @ Scale, Virtual, 22-25 June 2021. New York, NY, USA: ACM. doi: 10.1145/3430895.3460129
Khosravi, Hassan, Demartini, Gianluca, Sadiq, Shazia and Gasevic, Dragan (2021). Charting the design and analytics agenda of learnersourcing systems. 11th International Learning Analytics and Knowledge Conference, Irvine, CA USA, April 2021. New York, NY, USA: ACM. doi: 10.1145/3448139.3448143
Abdi, Solmaz, Khosravi, Hassan and Sadiq, Shazia (2021). Modelling learners in adaptive educational systems: a multivariate Glicko-based approach. 11th International Learning Analytics and Knowledge Conference, Irvine, CA USA, April 2021. New York, NY, USA: ACM. doi: 10.1145/3448139.3448189
Abdi, Solmaz, Khosravi, Hassan, Sadiq, Shazia and Darvishi, Ali (2021). Open learner models for multi-activity educational systems. 22nd International Conference, AIED, Utrecht, The Netherlands, 14-18 June 2021. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-78270-2_2
Leemans, Sander J. J., Shabaninejad, Shiva, Goel, Kanika, Khosravi, Hassan, Sadiq, Shazia and Wynn, Moe Thandar (2020). Identifying cohorts: recommending drill-downs based on differences in behaviour for process mining. Conceptual Modeling 39th International Conference, ER 2020, Vienna, Austria, 3–6 November, 2020. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-62522-1_7
Leemans, Sander, Shabaninejad, Shiva, Goel, Kanika, Khosravi, Hassan, Sadiq, Shazia and Wynn, Moe (2020). Identifying cohorts that differ in their behaviour: tool support. 39th International Conference on Conceptual Modeling , Vienna, Austria, 3-6 November 2020. CEUR-WS.
Gyamfi, George, Hanna, Barbara and Khosravi, Hassan (2020). The effect of rubrics on evaluative judgement: a randomised controlled trial. University Assessment, Learning and Teaching: New Research Directions for a Postdigital World, Online, 19-20 October 2020.
Khosravi, Hassan, Gyamfi, George , Hanna, Barbara and Lodge, Jason (2020). Development of educational tools that enable large-scale ethical empirical research on evaluative judgement. University Assessment, Learning and Teaching: New Research Directions for a Postdigital World, Online, 19-20 October 2020.
Khosravi, Hassan, Gyamii, George, Hanna, Barbara E. and Lodge, Jason (2020). Fostering and supporting empirical research on evaluative judgement via a crowdsourced adaptive learning system. LAK 2020: the Tenth International Conference on Learning Analytics and Knowledge, Frankfurt, Germany, 23 - 27 March 2020. New York, United States: ACM. doi: 10.1145/3375462.3375532
Abdi, Solmaz, Khosravi, Hassan and Sadiq, Shazia (2020). Modelling learners in crowdsourcing educational systems. AIED: International Conference on Artificial Intelligence in Education, Ifrane, Morocco, 6-10 July 2020. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-52240-7_1
Shabaninejad, Shiva, Khosravi, Hassan, Leemans, Sander J. J., Sadiq, Shazia and Indulska, Marta (2020). Recommending insightful drill-downs based on learning processes for learning analytics dashboards. AIED: International Conference on Artificial Intelligence in Education, Ifrane, Morocco, 6-10 July 2020. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-52237-7_39
Darvishi, Ali, Khosravi, Hassan and Sadiq, Shazia (2020). Utilising learnersourcing to inform design loop adaptivity. 15th European Conference on Technology Enhanced Learning, EC-TEL 2020, Heidelberg, Germany, 14 – 18 September 2020. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-57717-9_24
Abdi, Solmaz, Khosravi, Hassan, Sadiq, Shazia and Gasevic, Dragan (2020). Complementing educational recommender systems with open learner models. 10th International Conference on Learning Analytics and Knowledge, Portland, OR USA, March 2020. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3375462.3375520
Shabaninejad, Shiva, Khosravi, Hassan, Indulska, Marta, Bakharia, Aneesha and Isaias, Pedro (2020). Automated insightful drill-down recommendations for learning analytics dashboards. 10th International Conference on Learning Analytics and Knowledge, Portland, OR USA, March 2020. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3375462.3375539
Smith, Tammy, Lahza, Hatim and Khosravi, Hassan (2020). Using electronic logs to explore exam-taker behaviour during MCQ exams: is there a correlation with results?. Ottawa 2020, Kuala Lumpur, Malaysia, 29 February - 4 March 2020.
Khosravi, Hassan, Sadiq, Shazia and Gasevic, Dragan (2020). Development and adoption of an adaptive learning system: reflections and lessons learned. SIGCSE '20: The 51st ACM Technical Symposium on Computer Science Education, Portland, OR USA, March 2020. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3328778.3366900
Abdi, Solmaz, Khosravi, Hassan, Sadiq, Shazia and Gasevic, Dragan (2019). A multivariate ELO-based learner model for adaptive educational systems. 12th International Conference on Educational Data Mining, Montreal, Canada, July 2-5, 2019. International Educational Data Mining Society.
Cooper, Kendra and Khosravi, Hassan (2019). Multilevel topic dependency models for assessment design and delivery: A hypergraph based approach. The 25th International DMS Conference on Visualization and Visual Languages, Lisbon, Portugal, 8 - 9 July 2019. Knowledge Systems Institute Graduate School, KSI Research. doi: 10.18293/DMSVIVA2019-018
Ocana, Mauro, Khosravi, Hassan and Bakharia, Aneesha (2019). Profiling language learners in the Big data era. 36th International Conference on Innovation, Practice and Research in the Use of Educational Technologies in Tertiary Education, Singapore, 2-5 December 2019. Singapore: Singapore University of Social Sciences.
Coombe, Leanne, Huang, Jasmine, Khosravi, Hassan, Russell, Stuart and Sheppard, Karen (2018). Understanding (SaP) Partnerships: evaluating what works!. Higher Education Research and Development Society of Australasia (HERDSA 2018), Adelaide, SA, Australia, 2-5 July 2018.
Potts, Boyd A., Khosravi, Hassan, Reidsema, Carl, Bakharia, Aneesha, Belonogoff, Mark and Fleming, Melanie (2018). Reciprocal peer recommendation for learning purposes. 8th International Conference on Learning Analytics and Knowledge, Sydney, New South Wales, Australia, 7 - 9 March 2018. New York, NY, United States: ACM Digital Library. doi: 10.1145/3170358.3170400
Potts, Boyd A., Khosravi, Hassan and Reidsema, Carl (2018). Reciprocal content recommendation for peer learning study sessions. International Conference on Artificial Intelligence in Education, London, United Kingdom, 27-30 June 2018. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-93843-1_34
Cooper, Kendra and Khosravi, Hassan (2018). Graph-based visual topic dependency models : supporting assessment design and delivery at scale. 8th International Conference on Learning Analytics and Knowledge, LAK 2018, Sydney, Australia, 7-9 March 2018 . New York, United States: ACM Press. doi: 10.1145/3170358.3170418
Abdi, Solmaz, Khosravi, Hassan and Sadiq, Shazia (2018). Predicting Student Performance: The Case of Combining Knowledge Tracing and Collaborative Filtering. International Conference on Educational Data Mining, Buffalo, NY, United States, 15-18 July 2018. Educational Data Mining.
Reidsema, Carl, Kavanagh, Lydia, Fink, Esther M., Khosravi, Hassan, Fleming, Melanie and Achilles, Nicholas (2017). Analysing the learning pathways of students in a large flipped engineering course. ASCILITE2017: 34th International Conference on Innovation, Practice and Research in the Use of Educational Technologies in Tertiary Education., Toowoomba, QLD, Australia, 4 - 6 December 2017. Darling Heights, QLD, Australia: University of Southern Queensland.
Khosravi, Hassan, Cooper, Kendra and Kitto, Kirsty (2017). Riple: Recommendation in peer-learning environments based on knowledge gaps and interests. 10th International Conference on Educational Data Mining, EDM 2017, Wuhan, China, 25-28 June 2017. Memphis, TN, United States: International Working Group on Educational Data Mining.
Khosravi, Hassan and Cooper, Kendra (2017). Using learning analytics to investigate patterns of performance and engagement in large classes. SIGCSE '17, Seattle, WA, United States, 8-11 March 2017. New York, NY, United States: ACM. doi: 10.1145/3017680.3017711
Khosravi, Hassan, Bozorgkhan, Ali and Schulte, Oliver (2013). Transaction-based link strength prediction in a social network. 2013 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013, Singapore, 16-19 April 2013. Piscataway, NJ, United States: IEEE. doi: 10.1109/CIDM.2013.6597236
Khosravi, Hassan (2013). Fast parameter learning for Markov logic networks using Bayes nets. 22nd International Conference on Inductive Logic Programming, ILP 2012, Dubrovnik, Croatia, 17-19 September 2012. Berlin, Germany: Springer. doi: 10.1007/978-3-642-38812-5_8
Khosravi, Hassan and Bina, Bahareh (2010). A survey on statistical relational learning. 23rd Canadian Conference on Artificial Intelligence, Canadian AI 2010, Ottawa, ON, Canada, 31 May - 2 June 2010. Berlin, Germany: Springer. doi: 10.1007/978-3-642-13059-5_25
Khosravi, Hassan, Schulte, Oliver, Man, Tong, Xu, Xiaoyuan and Bina, Bahareh (2010). Structure learning for Markov Logic Networks with many descriptive attributes. 24th AAAI Conference on Artificial Intelligence and the 22nd Innovative Applications of Artificial Intelligence Conference, AAAI-10 / IAAI-10, Atlanta, GA, United States, 11-15 July 2010. Palo Alto, CA, United States: Association for the Advancement of Artificial Intelligence.
Schulte, Oliver, Frigo, Gustavo, Greiner, Russell and Khosravi, Hassan (2010). The IMAP hybrid method for learning Gaussian bayes nets. 23rd Canadian Conference on Artificial Intelligence, Canadian AI 2010, Ottawa, ON, Canada, 31 May - 2 June 2010. Berlin, Germany: Springer. doi: 10.1007/978-3-642-13059-5_14
Schulte, Oliver, Frigo, Gustavo, Greiner, Russell, Luo, Wei and Khosravi, Hassan (2009). A new hybrid method for bayesian network learning with dependency constraints. 2009 IEEE Symposium on Computational Intelligence and Data Mining (Cidm), Nashville, TN, 30 March - 2 April 2009. Piscatawa, NJ, U.S.A.: IEEE. doi: 10.1109/CIDM.2009.4938629
Khosravi, Hassan and Colak, Recep (2009). Exploratory analysis of co-change graphs for code refactoring. 22nd Canadian Conference on Artificial Intelligence, Kelowna, Canada, 25-27 May 2009. Berlin, Heidelberg: Springer Berlin Heidelberg. doi: 10.1007/978-3-642-01818-3_28
Bina, Bahareh, Schulte, Oliver and Khosravi, Hassan (2009). LNBC: A link-based naive bayes classifier. 2009 IEEE International Conference on Data Mining Workshops, ICDMW 2009, Miami, FL, December 6, 2009-December 6, 2009. IEEE. doi: 10.1109/ICDMW.2009.116
Khosravi H., Shiri M.E., Khosravi H., Iranmanesh E. and Davoodi A. (2008). TACtic- a multi behavioral agent for trading agent competition. 13th International Computer Society of Iran Computer Conference on Advances in Computer Science and Engineering, CSICC 2008, Kish Island, March 9, 2008-March 11, 2008. doi: 10.1007/978-3-540-89985-3_109
Generic Document
Khosravi, Hassan (2020). Learning analytics during COVID-19 at The University of Queensland. Society for Learning Analytics Research.
Newspaper Article
Khosravi, Hassan (2019, 12 02). Development of cost-effective adaptive educational systems via crowdsourcing EDUCAUSE Review
Thesis
Khosravi, Hassan (2012). Directed models for statistical relational learning. PhD Thesis, School of Computing Science, Simon Fraser University.
Patents
Csinger, Andrew, Muslukhov, Ildar, Khosravi, Hassan and Luong, Peter (2019). Enhanced security authentication methods, systems and media. US 10,509,898 B2.