Overview
Background
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.
Availability
- Dr Hassan Khosravi is:
- Available for supervision
- Media expert
Fields of research
Qualifications
- Doctor of Philosophy, Simon Fraser University
Research interests
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Educational Technologies and Learning Analytics
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AI in Education
Works
Search Professor Hassan Khosravi’s works on UQ eSpace
2019
Journal Article
RiPPLE: a crowdsourced adaptive platform for recommendation of learning activities
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
2019
Other Outputs
Development of cost-effective adaptive educational systems via crowdsourcing
Khosravi, Hassan (2019, 12 02). Development of cost-effective adaptive educational systems via crowdsourcing EDUCAUSE Review
2019
Journal Article
Multilevel visualisation of topic dependency models for assessment design and delivery: a hypergraph based approach
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
2019
Conference Publication
Profiling language learners in the Big data era
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.
2019
Conference Publication
Multilevel topic dependency models for assessment design and delivery: A hypergraph based approach
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
2019
Conference Publication
A multivariate ELO-based learner model for adaptive educational systems
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.
2018
Journal Article
Topic dependency models: graph-based visual analytics for communicating assessment data
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
2018
Journal Article
Students as partners in action: evaluating a university-wide initiative
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
2018
Conference Publication
Reciprocal content recommendation for peer learning study sessions
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
2018
Conference Publication
Understanding (SaP) Partnerships: evaluating what works!
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.
2018
Conference Publication
Predicting Student Performance: The Case of Combining Knowledge Tracing and Collaborative Filtering
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.
2018
Conference Publication
Reciprocal peer recommendation for learning purposes
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
2018
Conference Publication
Graph-based visual topic dependency models : supporting assessment design and delivery at scale
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
2017
Conference Publication
Analysing the learning pathways of students in a large flipped engineering course
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.
2017
Conference Publication
Riple: Recommendation in peer-learning environments based on knowledge gaps and interests
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.
2017
Conference Publication
Using learning analytics to investigate patterns of performance and engagement in large classes
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
2015
Other Outputs
Method and System for Decoupling User Authentication and Data Encryption on Mobile Devices
Khosravi, Hassan, Muslukhov, Ildar and Luong, Peter (2015). Method and System for Decoupling User Authentication and Data Encryption on Mobile Devices. 9137659.
2014
Journal Article
Modelling relational statistics with Bayes Nets
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
2013
Conference Publication
Fast parameter learning for Markov logic networks using Bayes nets
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
2013
Conference Publication
Transaction-based link strength prediction in a social network
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
Supervision
Availability
- Dr Hassan Khosravi is:
- Available for supervision
Looking for a supervisor? Read our advice on how to choose a supervisor.
Supervision history
Current supervision
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Doctor Philosophy
Bridging Secure and Open Assessment
Principal Advisor
Other advisors: Associate Professor Christine Slade, Associate Professor Peter Crosthwaite
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Doctor Philosophy
AI-powered actionable Insights and Interventions in Multi-Sourced Educational Data
Principal Advisor
Other advisors: Professor Shazia Sadiq, Professor Wojtek Tomaszewski
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Doctor Philosophy
Artificial Intelligence for Educational Feedback
Associate Advisor
Other advisors: Dr Marie Boden, Professor Jason Lodge, Dr Nell Baghaei
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Doctor Philosophy
The application of learning analytics and multimodal data to evaluate student engagement and learning outcomes in chemistry
Associate Advisor
Other advisors: Dr Effie Kartsonaki, Professor Gwendolyn Lawrie
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Doctor Philosophy
Enhancing Complex Problem-Solving in Engineering with Human-Centered GenAI, Agent-Based Workflows, and Embedded Analytics
Associate Advisor
Completed supervision
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2024
Doctor Philosophy
Synergising Learning Sciences, Learning Analytics, and Educational Technologies
Principal Advisor
Other advisors: Professor Gianluca Demartini
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2024
Doctor Philosophy
Recommending Insightful Actions in Learning Analytics Dashboards
Principal Advisor
Other advisors: Professor Shazia Sadiq, Professor Marta Indulska
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2023
Doctor Philosophy
AI and Learning Analytics to Improve Peer Review and Feedback in Learnersourcing
Principal Advisor
Other advisors: Professor Shazia Sadiq
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2022
Doctor Philosophy
Learner Models for Learnersourced Adaptive Educational Systems
Principal Advisor
Other advisors: Professor Shazia Sadiq
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2024
Doctor Philosophy
Application of machine learning methods for improved resource estimation in intruded coal deposits
Associate Advisor
Other advisors: Dr Mojtaba Rajabi
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2024
Doctor Philosophy
Empirical investigation of the impact of strategies for the development of students evaluative judgement in a learner-sourcing context
Associate Advisor
Other advisors: Dr Barbara Hanna
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2021
Doctor Philosophy
Using profiles to understand learning behaviours of language students in the big data era
Associate Advisor
Other advisors: Dr Barbara Hanna
Media
Enquiries
Contact Dr Hassan Khosravi directly for media enquiries about:
- Computer science education
- Data science
- Databases
- Educational data mining
- Educational technologies
- Learning analytics
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