Prerequisite Reasoning

Prerequisite Reasoning is a computational method in educational AI that identifies and sequences the foundational knowledge components required for mastering a target concept, distinguishing itself by its emphasis on diagnosing and modeling learner-specific dependency structures within a domain’s skill hierarchy.

41

Publications

1.5K

Citations

127

Authors

51

Institutions

Publications per year

2017–2026

12

Authors

127

  1. JS
    John Sweller

    UNSW Sydney, Australia

    2 publications · 190 citations

    2

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  2. BP
    Bart Pursel

    Pennsylvania State University, United States

    2 publications · 153 citations

    2

    h-index

  3. YL
    Yu Lu

    Peking University, China

    2 publications · 204 citations

    2

    h-index

  4. CL
    C. Lee Giles

    Pennsylvania State University, United States

    2 publications · 153 citations

    2

    h-index

  5. PC
    Paul Chandler

    UNSW Sydney, Australia

    2 publications · 190 citations

    2

    h-index

1–5 of 127

Venues

  1. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 3 publications · 189 citations

    3

    h-index

  2. Journal of Experimental Psychology Applied

    2 publications · 190 citations

    2

    h-index

  3. The Journal of Experimental Education

    1 publications · 21 citations

    1

    h-index

  4. eScholarship (California Digital Library)

    Repository · 1 publications · 16 citations

    1

    h-index

  5. TU/e Research Portal

    Repository · 1 publications · 14 citations

    1

    h-index

1–5