Knowledge Component Modeling

Knowledge Component Modeling is a systematic framework in Computer-Based Science Assessment that identifies and structures the discrete cognitive elements or competencies required for domain-specific problem solving, distinguishing it from broader assessment models by its focus on fine-grained, interpretable representations of knowledge.

41

Publications

1.4K

Citations

98

Authors

41

Institutions

Publications per year

2017–2026

15

Authors

98

  1. KR
    Kenneth R. Koedinger

    Carnegie Mellon University, United States

    4 publications · 198 citations

    4

    h-index

  2. RP
    Radek Pelánek

    Masaryk University, Czechia

    3 publications · 62 citations

    3

    h-index

  3. NT
    Neil T. Heffernan

    Worcester Polytechnic Institute, United States

    2 publications · 58 citations

    2

    h-index

  4. MA
    Mark A. Musen

    Stanford University, United States

    2 publications · 45 citations

    2

    h-index

  5. JŘ
    Jiří Řihák

    Masaryk University, Czechia

    2 publications · 45 citations

    2

    h-index

1–5 of 98

Venues

  1. Educational Data Mining

    Conference · 2 publications · 69 citations

    2

    h-index

  2. Expert Systems with Applications

    1 publications · 10 citations

    1

    h-index

  3. VUBIR (Vrije Universiteit Brussel)

    Repository · 1 publications · 23 citations

    1

    h-index

  4. Future Generation Computer Systems

    FGCS · 1 publications · 11 citations

    1

    h-index

  5. International Joint Conference on Artificial Intelligence

    Conference · 1 publications · 11 citations

    1

    h-index

1–5