Explainable Knowledge Tracing

Explainable Knowledge Tracing is a knowledge tracing framework that, as a subclass of student modeling approaches, incorporates transparent and interpretable mechanisms to explicitly reveal the underlying cognitive processes and temporal learning dynamics driving predictions of student knowledge.

18

Publications

994

Citations

72

Authors

35

Institutions

Publications per year

2017–2026

16

Variants

Xkt

Authors

72

  1. SL
    Sannyuya Liu

    Central China Normal University, China

    2 publications · 67 citations

    2

    h-index

  2. JS
    Jianwen Sun

    Central China Normal University, China

    2 publications · 67 citations

    2

    h-index

  3. JL
    Jinseok Lee

    Wonkwang University, South Korea

    2 publications · 86 citations

    2

    h-index

  4. QL
    Qing Li

    Central China Normal University, China

    2 publications · 67 citations

    2

    h-index

  5. XS
    Xiaoxuan Shen

    Central China Normal University, China

    2 publications · 67 citations

    2

    h-index

1–5 of 72

Venues

  1. Expert Systems with Applications

    4 publications · 118 citations

    3

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 96 citations

    2

    h-index

  3. Knowledge-Based Systems

    1 publications · 243 citations

    1

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 43 citations

    1

    h-index

  5. Information Sciences

    1 publications · 39 citations

    1

    h-index

1–5