Personalized Feedback Modeling

Personalized Feedback Modeling is a computational framework that generates individualized feedback by dynamically adapting to learners' cognitive and affective states through the integration of learner models, pedagogical strategies, and contextualized performance data.

26

Publications

1K

Citations

77

Authors

39

Institutions

Publications per year

2017–2026

23

Authors

77

  1. EK
    Ekaterina Kochmar

    University of Cambridge, United Kingdom

    2 publications · 102 citations

    2

    h-index

  2. RB
    Robert Belfer

    McGill University, Canada

    2 publications · 102 citations

    2

    h-index

  3. IV
    Iulian Vlad Serban

    McGill University, Canada

    2 publications · 102 citations

    2

    h-index

  4. MD
    Miltiadis D. Lytras

    The American College of Greece, Greece

    1 publications · 17 citations

    1

    h-index

  5. JT
    Jiliang Tang

    Michigan State University, United States

    1 publications · 14 citations

    1

    h-index

1–5 of 77

Venues

  1. 3

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 16 citations

    1

    h-index

  3. Studies in health technology and informatics

    Book series · 1 publications · 30 citations

    1

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  4. Computers in Human Behavior

    1 publications · 48 citations

    1

    h-index

  5. Sustainability

    1 publications · 37 citations

    1

    h-index

1–5