Dr Hassan Khosravi

Snr Lecturer, Learning Analytics

Institute for Teaching and Learning Innovation

Senior Lecturer

School of Information Technology and Electrical Engineering
Faculty of Engineering, Architecture and Information Technology

Affiliate Academic

Faculty of Humanities and Social Sciences
h.khosravi@uq.edu.au
+61 7 334 60774

Overview

Dr Hassan Khosravi is a Senior Lecturer in the Institute for Teaching and Learning Innovation and an Affiliate Academic in the School of Information Technology and Electrical Engineering at the University of Queensland. Prior to joining the University of Queensland, he held a Lecturer position in the Department of Computer Science at the University of British Columbia. Hassan holds a PhD from the School of Computing Science at Simon Fraser University in Canada and a Masters degree in Computer Science from the University of Amirkabir University of Technology, Tehran, Iran. As a computer scientist by training, he is passionate about the role of artificial intelligence in the future of education. In his research, Hassan aims to apply insight from adaptive learning, peer learning, crowdsourcing and recommender systems to narrow the gap between these large bodies of research, and practical implementations that contribute to personalisation of education. For more information on his work please visit his website.

Research Interests

  • Learning Analytics, Educational Data Mining, Machine Learning, Adaptive Learning, Crowdsourcing

Qualifications

  • Doctor of Philosophy, Simon Fraser University

Publications

  • 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

  • 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

  • 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

View all Publications

Supervision

  • Doctor Philosophy

  • Doctor Philosophy

  • Doctor Philosophy

View all Supervision

Available Projects

  • Are you interested in applying novel and innovative analytic approaches from fields such as machine learning, data mining, and visualisation to address highly challenging and world-changing tasks such as enhancing and personalising education? If yes, then please send me an email supplying a cover letter, your academic transcript with grades/GPA , and your CV. You can find a list of my current projects on my website.

    I am currently accepting full-time PhD and MPhil students. For informtion on applications, entry requirements, and scholarships at the University of Queensland pleease visit this link.

View all Available Projects

Publications

Journal Article

Conference Publication

  • 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

  • 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

  • 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

  • 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

  • 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.

  • 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.

  • 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.

  • 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

  • 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

  • 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.

  • 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 (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, 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 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

Other Outputs

Grants (Administered at UQ)

PhD and MPhil Supervision

Current Supervision

  • Doctor Philosophy — Principal Advisor

    Other advisors:

  • Doctor Philosophy — Principal Advisor

  • Doctor Philosophy — Principal Advisor

  • Doctor Philosophy — Principal Advisor

    Other advisors:

  • Master Philosophy — Principal Advisor

  • Doctor Philosophy — Associate Advisor

    Other advisors:

  • Doctor Philosophy — Associate Advisor

    Other advisors:

  • Doctor Philosophy — Associate Advisor

Possible Research Projects

Note for students: The possible research projects listed on this page may not be comprehensive or up to date. Always feel free to contact the staff for more information, and also with your own research ideas.

  • Are you interested in applying novel and innovative analytic approaches from fields such as machine learning, data mining, and visualisation to address highly challenging and world-changing tasks such as enhancing and personalising education? If yes, then please send me an email supplying a cover letter, your academic transcript with grades/GPA , and your CV. You can find a list of my current projects on my website.

    I am currently accepting full-time PhD and MPhil students. For informtion on applications, entry requirements, and scholarships at the University of Queensland pleease visit this link.