Modeling Student Misconceptions

Modeling Student Misconceptions is a computational and analytical framework within Intelligent Tutoring System Analytics that identifies, represents, and predicts erroneous or incomplete student understandings of domain-specific concepts to enable targeted instructional interventions.

108

Publications

5.7K

Citations

321

Authors

123

Institutions

Publications per year

2017–2026

45

Authors

321

  1. RS
    Ruth Streveler

    Colorado School of Mines, United States

    4 publications · 146 citations

    4

    h-index

  2. RL
    Ronald L. Miller

    Colorado School of Mines, United States

    3 publications · 131 citations

    3

    h-index

  3. AS
    Achmad Samsudin

    Indonesia University of Education, Indonesia

    3 publications · 54 citations

    3

    h-index

  4. AL
    Angus Lamb

    2 publications · 42 citations

    2

    h-index

  5. TD
    Thu D. Nguyen

    Rutgers, The State University of New Jersey, United States

    2 publications · 64 citations

    2

    h-index

1–5 of 321

Venues

  1. Computer Science Education

    5 publications · 362 citations

    4

    h-index

  2. arXiv (Cornell University)

    Repository · 3 publications · 53 citations

    3

    h-index

  3. Journal of Physics Conference Series

    3 publications · 84 citations

    3

    h-index

  4. Cognitive Science

    3 publications · 1.2K citations

    3

    h-index

  5. CBE—Life Sciences Education

    3 publications · 64 citations

    3

    h-index

1–5