Knowledge Dependency Analysis

Knowledge Dependency Analysis is a systematic method within the field of curriculum and instructional design that identifies and structures the prerequisite relationships among concepts, skills, or topics to determine the optimal sequence for learning, distinguishing itself by explicitly mapping hierarchical and conditional dependencies that must be mastered prior to engaging with more complex or advanced knowledge elements.

11

Publications

401

Citations

33

Authors

14

Institutions

Publications per year

2017–2026

6

Authors

33

  1. JC
    Jing Chen

    Wuhan University, China

    2 publications · 76 citations

    2

    h-index

  2. RD
    Ruiying Du

    Wuhan University, China

    2 publications · 76 citations

    2

    h-index

  3. KH
    Kun He

    Wuhan University, China

    2 publications · 76 citations

    2

    h-index

  4. BT
    Brendon Towle

    1 publications · 50 citations

    1

    h-index

  5. RB
    Roy B. Clariana

    Pennsylvania State University, United States

    1 publications · 28 citations

    1

    h-index

1–5 of 33

Venues

  1. 1

    h-index

  2. Auditing A Journal of Practice & Theory

    AJPT · 1 publications · 66 citations

    1

    h-index

  3. Educational Data Mining

    Conference · 1 publications · 50 citations

    1

    h-index

  4. Educational Technology Research and Development

    ETRD · 1 publications · 28 citations

    1

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 77 citations

    1

    h-index

1–5