Explainable Student Risk Models

Explainable Student Risk Models is a type of predictive analytics framework in educational data mining that identifies students at risk of dropping out while providing human-interpretable explanations for its predictions, thereby distinguishing itself from opaque models by prioritizing transparency and actionable insights in academic intervention strategies.

7

Publications

207

Citations

22

Authors

11

Institutions

Publications per year

2017–2026

5

Authors

22

  1. CC
    Charles Chimedza

    University of the Witwatersrand, South Africa

    1 publications · 21 citations

    1

    h-index

  2. IU
    Irfan Ullah Khan

    Imam Abdulrahman Bin Faisal University, Saudi Arabia

    1 publications · 59 citations

    1

    h-index

  3. WR
    William Rowe

    University of South Florida, United States

    1 publications · 37 citations

    1

    h-index

  4. TP
    Tina Papathoma

    CODE University of Applied Sciences

    1 publications · 26 citations

    1

    h-index

  5. BI
    Bevan I. Smith

    University of the Witwatersrand, South Africa

    1 publications · 21 citations

    1

    h-index

1–5 of 22

Venues

  1. Child and Adolescent Social Work Journal

    1 publications · 37 citations

    1

    h-index

  2. Procedia Computer Science

    1 publications · 21 citations

    1

    h-index

  3. 1

    h-index

  4. Education and Information Technologies

    1 publications · 21 citations

    1

    h-index

  5. IEEE Access

    2 publications · 71 citations

    1

    h-index

1–5