Concepedia

Automated Grading Explainability

Automated Grading Explainability is a formal framework within explainable artificial intelligence in education that specifies the principles and mechanisms by which automated grading systems transparently justify their assessment decisions to stakeholders through human-interpretable rationales, criteria, or evidence traces.

1

Publications

25

Citations

4

Authors

3

Institutions

Publications per year

2017–2026

1

Parents

Publications

1

1–3 of 1

Authors

4

  1. MF
    Mostafa Fatehi

    University of British Columbia, Canada

    1 publications · 25 citations

    1

    h-index

  2. RG
    Ru Guo

    University of British Columbia Hospital, Canada

    1 publications · 25 citations

    1

    h-index

  3. WJ
    Weina Jin

    Simon Fraser University, Canada

    1 publications · 25 citations

    1

    h-index

  4. GH
    Ghassan Hamarneh

    Simon Fraser University, Canada

    1 publications · 25 citations

    1

    h-index

  5. AI
    Azhar Imran

    Beijing University of Technology, China

    1 publications · 57 citations

    0

    h-index

1–5 of 4

Institutions

3

  1. Simon Fraser University

    Burnaby, Canada

    1 h-index

    2 publications

    50 citations

  2. University of British Columbia Hospital

    Vancouver, Canada

    1 h-index

    2 publications

    50 citations

  3. University of British Columbia

    Vancouver, Canada

    1 h-index

    2 publications

    50 citations

  4. University of Manchester

    Manchester, United Kingdom

    1 publications

    13 citations

  5. Air University

    Islamabad, Pakistan

    1 publications

    57 citations

  6. Stockholm University

    Stockholm, Sweden

    1 publications

    13 citations

1–6 of 3

Venues

  1. Artificial Intelligence in Medicine

    AIM · 1 publications · 25 citations

    1

    h-index

  2. Computers in Biology and Medicine

    1 publications · 57 citations

1–2