Knowledge Tracing Explanation

Knowledge Tracing Explanation is a computational framework that belongs to the class of explainable artificial intelligence methods in educational technology, specifically designed to transparently articulate the reasoning behind knowledge state inferences in student modeling by delineating the evidential basis and temporal dynamics of proficiency estimates.

14

Publications

591

Citations

43

Authors

20

Institutions

Publications per year

2017–2026

10

Authors

43

  1. JL
    Jinseok Lee

    Wonkwang University, South Korea

    2 publications · 86 citations

    2

    h-index

  2. DY
    Dit‐Yan Yeung

    Hong Kong University of Science and Technology, Hong Kong SAR China

    2 publications · 86 citations

    2

    h-index

  3. QH
    Qionghao Huang

    Zhejiang Normal University, China

    2 publications · 129 citations

    2

    h-index

  4. XH
    Xiaodi Huang

    Charles Sturt University, Australia

    2 publications · 129 citations

    2

    h-index

  5. CH
    Changqin Huang

    South China Normal University, China

    2 publications · 129 citations

    2

    h-index

1–5 of 43

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 96 citations

    2

    h-index

  2. Expert Systems with Applications

    3 publications · 107 citations

    2

    h-index

  3. 1

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 83 citations

    1

    h-index

  5. Research Policy

    1 publications · 19 citations

    1

    h-index

1–5