Explainable Learning Analytics

Explainable Learning Analytics is a type of learning analytics that integrates transparency and interpretability mechanisms to make the processes, models, and outcomes of data-driven educational analyses understandable and justifiable to stakeholders.

51

Publications

3K

Citations

247

Authors

119

Institutions

Publications per year

2017–2026

48

Variants

Xla

Authors

247

  1. DW
    Deborah West

    Charles Darwin University, Australia

    2 publications · 89 citations

    2

    h-index

  2. NM
    Negin Mirriahi

    University of South Australia, Australia

    2 publications · 36 citations

    2

    h-index

  3. DG
    Dragan Gašević

    Monash University, Australia

    2 publications · 102 citations

    2

    h-index

  4. NL
    Nidia López Flores

    VIB-KU Leuven Center for Microbiology, Belgium

    1 publications · 54 citations

    1

    h-index

  5. RC
    Rui Cui

    Hebei Medical University, China

    1 publications · 25 citations

    1

    h-index

1–5 of 247

Venues

  1. Scientific Reports

    2 publications · 252 citations

    2

    h-index

  2. Journal of Transport Geography

    2 publications · 51 citations

    2

    h-index

  3. Computers in Human Behavior

    2 publications · 745 citations

    2

    h-index

  4. Educational Technology Research and Development

    ETRD · 2 publications · 114 citations

    2

    h-index

  5. Ecological Informatics

    1 publications · 28 citations

    1

    h-index

1–5