Constraint Violation Detection

Constraint Violation Detection is a computational method in constraint-based tutoring systems that identifies deviations between student actions and predefined domain-specific constraints, distinguishing itself by enabling targeted feedback through systematic monitoring of rule-based correctness in problem-solving steps.

64

Publications

3K

Citations

186

Authors

95

Institutions

Publications per year

2017–2026

19

Authors

186

  1. MV
    Mandana Vaziri

    IBM (United States), United States

    3 publications · 300 citations

    3

    h-index

  2. JI
    Julian Ibarz

    Google (United States), United States

    2 publications · 217 citations

    2

    h-index

  3. SN
    Suraj Nair

    Stanford University, United States

    2 publications · 217 citations

    2

    h-index

  4. AK
    Aloysius K. Mok

    The University of Texas at Austin, United States

    2 publications · 66 citations

    2

    h-index

  5. CF
    Chelsea Finn

    University of California, Berkeley, United States

    2 publications · 217 citations

    2

    h-index

1–5 of 186

Venues

  1. Cognition and Instruction

    1 publications · 175 citations

    1

    h-index

  2. Oxford University Research Archive (ORA) (University of Oxford)

    Repository · 1 publications · 14 citations

    1

    h-index

  3. arXiv (Cornell University)

    Repository · 1 publications · 20 citations

    1

    h-index

  4. Journal of Mechanical Design

    1 publications · 17 citations

    1

    h-index

  5. Adaptive Agents and Multi-Agents Systems

    Conference · 1 publications · 14 citations

    1

    h-index

1–5