Automatic Grade Control

Automatic Grade Control is a methodological framework in educational assessment that automates the grading process by employing algorithmic rules or machine learning models to evaluate student performance with minimal human intervention.

28

Publications

1.1K

Citations

87

Authors

44

Institutions

Publications per year

2017–2026

7

Parents

Authors

87

  1. DM
    D.S. Morris

    Rutgers, The State University of New Jersey, United States

    2 publications · 78 citations

    2

    h-index

  2. CZ
    Craig Zilles

    University of Illinois Urbana-Champaign, United States

    2 publications · 93 citations

    2

    h-index

  3. MF
    Max Fowler

    University of Illinois Urbana-Champaign, United States

    2 publications · 93 citations

    2

    h-index

  4. TH
    ThiébautDominique

    1 publications · 16 citations

    1

    h-index

  5. SS
    Sebastian Siva

    Gwinnett College, United States

    1 publications · 11 citations

    1

    h-index

1–5 of 87

Venues

  1. Journal of computing sciences in colleges

    3 publications · 79 citations

    3

    h-index

  2. IEEE Transactions on Learning Technologies

    1 publications · 18 citations

    1

    h-index

  3. Computers & Education

    1 publications · 224 citations

    1

    h-index

  4. IEEE Access

    1 publications · 13 citations

    1

    h-index

  5. Procedia Technology

    1 publications · 24 citations

    1

    h-index

1–5