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Dr Hassan Khosravi
Dr

Hassan Khosravi

Email: 
Phone: 
+61 7 334 60774

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

Qualifications

  • Doctor of Philosophy, Simon Fraser University

Research interests

  • Educational Technologies and Learning Analytics

  • AI in Education

Works

Search Professor Hassan Khosravi’s works on UQ eSpace

112 works between 2008 and 2025

61 - 80 of 112 works

2021

Journal Article

Neurophysiological measurements in higher education: a systematic literature review

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

Neurophysiological measurements in higher education: a systematic literature review

2021

Conference Publication

Employing peer review to evaluate the quality of student generated content at scale: a trust propagation approach

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

Employing peer review to evaluate the quality of student generated content at scale: a trust propagation approach

2021

Conference Publication

Modelling learners in adaptive educational systems: a multivariate Glicko-based approach

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

Modelling learners in adaptive educational systems: a multivariate Glicko-based approach

2021

Conference Publication

Charting the design and analytics agenda of learnersourcing systems

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

Charting the design and analytics agenda of learnersourcing systems

2021

Journal Article

The effects of rubrics on evaluative judgement: a randomised controlled experiment

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

The effects of rubrics on evaluative judgement: a randomised controlled experiment

2021

Journal Article

Evaluating the quality of learning resources: a Learnersourcing approach

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

Evaluating the quality of learning resources: a Learnersourcing approach

2021

Conference Publication

Open learner models for multi-activity educational systems

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

Open learner models for multi-activity educational systems

2020

Conference Publication

Identifying cohorts: recommending drill-downs based on differences in behaviour for process mining

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

Identifying cohorts: recommending drill-downs based on differences in behaviour for process mining

2020

Conference Publication

Identifying cohorts that differ in their behaviour: tool support

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.

Identifying cohorts that differ in their behaviour: tool support

2020

Conference Publication

Development of educational tools that enable large-scale ethical empirical research on evaluative judgement

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.

Development of educational tools that enable large-scale ethical empirical research on evaluative judgement

2020

Conference Publication

The effect of rubrics on evaluative judgement: a randomised controlled trial

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.

The effect of rubrics on evaluative judgement: a randomised controlled trial

2020

Conference Publication

Using electronic logs to explore exam-taker behaviour during MCQ exams: is there a correlation with results?

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.

Using electronic logs to explore exam-taker behaviour during MCQ exams: is there a correlation with results?

2020

Conference Publication

Development and adoption of an adaptive learning system: reflections and lessons learned

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

Development and adoption of an adaptive learning system: reflections and lessons learned

2020

Conference Publication

Utilising learnersourcing to inform design loop adaptivity

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

Utilising learnersourcing to inform design loop adaptivity

2020

Conference Publication

Automated insightful drill-down recommendations for learning analytics dashboards

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

Automated insightful drill-down recommendations for learning analytics dashboards

2020

Conference Publication

Recommending insightful drill-downs based on learning processes for learning analytics dashboards

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

Recommending insightful drill-downs based on learning processes for learning analytics dashboards

2020

Conference Publication

Fostering and supporting empirical research on evaluative judgement via a crowdsourced adaptive learning system

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

Fostering and supporting empirical research on evaluative judgement via a crowdsourced adaptive learning system

2020

Conference Publication

Complementing educational recommender systems with open learner models

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

Complementing educational recommender systems with open learner models

2020

Conference Publication

Modelling learners in crowdsourcing educational systems

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

Modelling learners in crowdsourcing educational systems

2019

Other Outputs

Enhanced security authentication methods, systems and media

Csinger, Andrew, Muslukhov, Ildar, Khosravi, Hassan and Luong, Peter (2019). Enhanced security authentication methods, systems and media. US 10,509,898 B2.

Enhanced security authentication methods, systems and media

Funding

Current funding

  • 2021 - 2026
    ARC Training Centre for Information Resilience
    ARC Industrial Transformation Training Centres
    Open grant

Past funding

  • 2022 - 2025
    Data analytics-based tools and methods to enhance self-regulated learning (ARC Discovery Grant led by Monash University)
    Monash University
    Open grant

Supervision

Availability

Dr Hassan Khosravi is:
Available for supervision

Before you email them, read our advice on how to contact a supervisor.

Supervision history

Current supervision

  • Doctor Philosophy

    AI-powered actionable Insights and Interventions in Multi-Sourced Educational Data

    Principal Advisor

    Other advisors: Professor Shazia Sadiq, Professor Wojtek Tomaszewski

  • 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

  • Doctor Philosophy

    Engaging Senior Citizens with Cyber Safety through Educational Games

    Associate Advisor

    Other advisors: Dr Marie Boden, Professor Jason Lodge, Dr Nell Baghaei

  • Doctor Philosophy

    Enhancing Complex Problem-Solving in Engineering with Human-Centered GenAI, Agent-Based Workflows, and Embedded Analytics

    Associate Advisor

Completed supervision

Media

Enquiries

Contact Dr Hassan Khosravi directly for media enquiries about:

  • Computer science education
  • Data science
  • Databases
  • Educational data mining
  • Educational technologies
  • Learning analytics

Need help?

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communications@uq.edu.au