Dragan Gasevic

Gasevic ICDE Presidents' Summit Dragan Gašević is Professor of Learning Analytics at Monash University. He is a researcher in learning analytics and co-developed several software systems such as P3, , LOCO-Analyst, OnTask, OVAL, and ProSolo. Provided by Wikipedia
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  1. 1
    Teachers’ generative AI self-efficacy, valuing, and integration at work: Examining job resources and demands

    Teachers’ generative AI self-efficacy, valuing, and integration at work: Examining job resources and demands by Rebecca J. Collie, Andrew J. Martin, Dragan Gasevic

    Published 2024-12-01
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  2. 2
    Intelligent teaching analytics for collaborative reflection: investigating pre-service teachers’ perceptions, experiences and shared regulation processes

    Intelligent teaching analytics for collaborative reflection: investigating pre-service teachers’ perceptions, experiences and shared regulation processes by Mengke Wang, Zengzhao Chen, Ying Xu, Bhagya Maheshi, Dragan Gašević

    Published 2025-07-01
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  3. 3
    Generative AI in higher education: A global perspective of institutional adoption policies and guidelines

    Generative AI in higher education: A global perspective of institutional adoption policies and guidelines by Yueqiao Jin, Lixiang Yan, Vanessa Echeverria, Dragan Gašević, Roberto Martinez-Maldonado

    Published 2025-06-01
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  4. 4
    Is GPT-4 fair? An empirical analysis in automatic short answer grading

    Is GPT-4 fair? An empirical analysis in automatic short answer grading by Luiz Rodrigues, Cleon Xavier, Newarney Costa, Dragan Gasevic, Rafael Ferreira Mello

    Published 2025-06-01
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  5. 5
    Asking generative artificial intelligence the right questions improves writing performance

    Asking generative artificial intelligence the right questions improves writing performance by Yixin Cheng, Yizhou Fan, Xinyu Li, Guanliang Chen, Dragan Gašević, Zachari Swiecki

    Published 2025-06-01
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  6. 6
    Using large administrative data for mining patients' trajectories for risk stratification: An example from urological diseases.

    Using large administrative data for mining patients' trajectories for risk stratification: An example from urological diseases. by Harvey Jia Wei Koh, Dragan Gašević, David Rankin, Mark Frydenberg, Stella Talic

    Published 2024-01-01
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  7. 7
    Enhancing Feedback Quality at Scale: Leveraging Machine Learning for Learner-Centered Feedback

    Enhancing Feedback Quality at Scale: Leveraging Machine Learning for Learner-Centered Feedback by Ahmad Ari Aldino, Yi-Shan Tsai, Rafael Ferreira Mello, Dragan Gašević, Guanliang Chen

    Published 2024-12-01
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  8. 8
    Evaluating the capability of large language models in characterising relational feedback: A comparative analysis of prompting strategies

    Evaluating the capability of large language models in characterising relational feedback: A comparative analysis of prompting strategies by Wei Dai, Yixin Cheng, Ahmad Ari Aldino, Yi-Shan Tsai, Dragan Gašević, Guanliang Chen

    Published 2025-06-01
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  9. 9
    Assessing the quality of automatic-generated short answers using GPT-4

    Assessing the quality of automatic-generated short answers using GPT-4 by Luiz Rodrigues, Filipe Dwan Pereira, Luciano Cabral, Dragan Gašević, Geber Ramalho, Rafael Ferreira Mello

    Published 2024-12-01
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  10. 10
    Large language models meet user interfaces: The case of provisioning feedback

    Large language models meet user interfaces: The case of provisioning feedback by Stanislav Pozdniakov, Jonathan Brazil, Solmaz Abdi, Aneesha Bakharia, Shazia Sadiq, Dragan Gašević, Paul Denny, Hassan Khosravi

    Published 2024-12-01
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  11. 11
    Analytics of self-regulated learning strategies and scaffolding: Associations with learning performance

    Analytics of self-regulated learning strategies and scaffolding: Associations with learning performance by Tongguang Li, Lixiang Yan, Sehrish Iqbal, Namrata Srivastava, Shaveen Singh, Mladen Raković, Zachari Swiecki, Yi-Shan Tsai, Dragan Gašević, Yizhou Fan, Xinyu Li

    Published 2025-06-01
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