Explainable Educational Ai

Explainable Educational AI is an academic concept referring to a class of AI systems in educational contexts that belong to the broader category of educational technologies, distinguished by their inherent capacity to provide transparent, human-interpretable justifications for their decisions, recommendations, or actions in support of pedagogical accountability, trust, and learner understanding.

78

Publications

5.5K

Citations

287

Authors

165

Institutions

Publications per year

2017–2026

74

Authors

287

  1. HO
    Hiroaki Ogata

    Tokushima University, Japan

    3 publications · 71 citations

    3

    h-index

  2. CC
    Cristina Conati

    University of British Columbia, Canada

    3 publications · 760 citations

    3

    h-index

  3. BF
    Brendan Flanagan

    Kyoto University, Japan

    3 publications · 71 citations

    3

    h-index

  4. SS
    Steve Solomon

    Infrared Laboratories (United States), United States

    2 publications · 74 citations

    2

    h-index

  5. HN
    Hannele Niemi

    University of Helsinki, Finland

    2 publications · 83 citations

    2

    h-index

1–5 of 287

Venues

  1. 5

    h-index

  2. IEEE Access

    4 publications · 141 citations

    3

    h-index

  3. Expert Systems with Applications

    2 publications · 107 citations

    2

    h-index

  4. Journal of Pacific Rim Psychology

    JPRP · 2 publications · 83 citations

    2

    h-index

  5. Education and Information Technologies

    3 publications · 265 citations

    2

    h-index

1–5