Prerequisite Knowledge Modeling

Prerequisite Knowledge Modeling is a domain modeling construct that formally represents the foundational knowledge and skills required for mastering a given learning unit, distinguishing itself by specifying explicit, structured dependencies between prior and target competencies within personalized learning paths.

59

Publications

2.2K

Citations

169

Authors

79

Institutions

Publications per year

2017–2026

28

Authors

169

  1. CL
    C. Lee Giles

    Pennsylvania State University, United States

    3 publications · 291 citations

    3

    h-index

  2. ZW
    Zhaohui Wu

    Zhejiang University, China

    3 publications · 291 citations

    3

    h-index

  3. CL
    Chen Liang

    Pennsylvania State University, United States

    3 publications · 291 citations

    3

    h-index

  4. FG
    Fabio Gasparetti

    Roma Tre University, Italy

    3 publications · 98 citations

    3

    h-index

  5. BP
    Bernardo Pereira Nunes

    Universidade Federal do Estado do Rio de Janeiro, Brazil

    2 publications · 33 citations

    2

    h-index

1–5 of 169

Venues

  1. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 3 publications · 165 citations

    3

    h-index

  2. Educational Data Mining

    Conference · 3 publications · 93 citations

    3

    h-index

  3. Applied Cognitive Psychology

    ACP · 1 publications · 65 citations

    1

    h-index

  4. 1

    h-index

  5. HAL (Le Centre pour la Communication Scientifique Directe)

    Repository · 1 publications · 26 citations

    1

    h-index

1–5