Student Modeling Explainability

Student Modeling Explainability is a computational framework that specifies how the internal representations and inferred attributes of a student model are rendered transparent, interpretable, and justifiable to stakeholders in order to elucidate the reasoning behind personalized educational decisions.

11

Publications

574

Citations

24

Authors

16

Institutions

Publications per year

2017–2026

7

Authors

24

  1. SR
    Steven R. Williams

    Brigham Young University, United States

    2 publications · 323 citations

    2

    h-index

  2. FS
    Fahd S. Alharithi

    Taif University, Saudi Arabia

    1 publications · 38 citations

    1

    h-index

  3. MA
    Muhammad Adnan

    Kohat University of Science and Technology, Pakistan

    1 publications · 38 citations

    1

    h-index

  4. XW
    Xizhe Wang

    Zhejiang Normal University, China

    1 publications · 38 citations

    1

    h-index

  5. HX
    Haijiao Xu

    Wuhan University of Technology, China

    1 publications · 38 citations

    1

    h-index

1–5 of 24

Venues

  1. Journal for Research in Mathematics Education

    JRME · 2 publications · 323 citations

    2

    h-index

  2. Education and Information Technologies

    1 publications · 21 citations

    2

    h-index

  3. Research in Science Education

    1 publications · 13 citations

    1

    h-index

  4. IEEE Access

    1 publications · 38 citations

    1

    h-index

  5. User Modeling and User-Adapted Interaction

    1 publications · 24 citations

    1

    h-index

1–5