Student Misconception Modeling

Student Misconception Modeling is a computational or theoretical framework within educational data mining and intelligent tutoring systems that identifies and represents erroneous student knowledge states by distinguishing them from correct understanding through analysis of response patterns, temporal learning trajectories, and domain-specific conceptual dependencies.

95

Publications

4.9K

Citations

261

Authors

84

Institutions

Publications per year

2017–2026

37

Authors

261

  1. RS
    Ruth Streveler

    Colorado School of Mines, United States

    4 publications · 81 citations

    4

    h-index

  2. RD
    Rahma Diani

    Universitas Islam Negeri Raden Intan Lampung, Indonesia

    2 publications · 54 citations

    2

    h-index

  3. DY
    Dazhi Yang

    Boise State University, United States

    2 publications · 34 citations

    2

    h-index

  4. YS
    Yang Shi

    North Carolina State University, United States

    2 publications · 31 citations

    2

    h-index

  5. PG
    Peter Garik

    University of Michigan, United States

    2 publications · 30 citations

    2

    h-index

1–5 of 261

Venues

  1. Journal of Physics Conference Series

    8 publications · 203 citations

    8

    h-index

  2. Procedia - Social and Behavioral Sciences

    3 publications · 39 citations

    3

    h-index

  3. ACM Transactions on Computing Education

    TOCE · 2 publications · 596 citations

    2

    h-index

  4. Jurnal Pendidikan Fisika dan Teknologi

    2 publications · 39 citations

    2

    h-index

  5. Science Education

    2 publications · 78 citations

    2

    h-index

1–5