Concepedia

Interpretability In Knowledge Tracing

Interpretability in Knowledge Tracing is a model-centric property that characterizes the degree to which the internal representations and predictive mechanisms of a knowledge tracing system can be transparently analyzed and understood by human educators or learners to justify inferred student knowledge states.

7

Publications

330

Citations

37

Authors

19

Institutions

Publications per year

2017–2026

7

Parents

Publications

7

XKT: Toward Explainable Knowledge Tracing Model With Cognitive Learning Theories for Questions of Multiple Knowledge Concepts

Changqin Huang, Qionghao Huang, Xiaodi Huang et al. · IEEE Transactions on Knowledge and Data Engineering · 2024 · 83 citations

, , +14

Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory

Chun-Kit Yeung · arXiv (Cornell University) · 2019 · 76 citations · Full text

, , +17

Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations

Sein Minn, Jill-Jênn Vie, Koh Takeuchi et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2022 · 43 citations · Full text

, , +17

Time-and-Concept Enhanced Deep Multidimensional Item Response Theory for interpretable Knowledge Tracing

Yu Su, Zeyu Cheng, Pengfei Luo et al. · Knowledge-Based Systems · 2021 · 39 citations

, , +12

Interpreting Deep Learning Models for Knowledge Tracing

Yu Lu, Deliang Wang, Penghe Chen et al. · International Journal of Artificial Intelligence in Education · 2022 · 35 citations

, , +12

1–5 of 7

Authors

37

  1. XH
    Xiaodi Huang

    Charles Sturt University, Australia

    1 publications · 83 citations

    1

    h-index

  2. YL
    Yu Lu

    Peking University, China

    1 publications · 35 citations

    1

    h-index

  3. LZ
    Lei Zhang

    Anhui University, China

    1 publications · 39 citations

    1

    h-index

  4. ZC
    Zeyu Cheng

    University of Science and Technology of China, China

    1 publications · 39 citations

    1

    h-index

  5. HW
    Hua Wang

    Victoria University, Australia

    1 publications · 83 citations

    1

    h-index

1–5 of 37

Institutions

19

  1. Commissariat à l'Énergie Atomique et aux Énergies Alternatives

    Paris, France

    1 h-index

    1 publications

    43 citations

  2. École Centrale de Lille

    Villeneuve-d'Ascq, France

    1 h-index

    1 publications

    43 citations

  3. Beijing Normal University

    Beijing, China

    1 h-index

    5 publications

    175 citations

  4. Zhejiang Normal University

    Jinhua, China

    1 h-index

    3 publications

    249 citations

  5. Centre Inria de Saclay

    Palaiseau, France

    1 h-index

    1 publications

    43 citations

  6. Jilin University

    Changchun, China

    1 h-index

    1 publications

    83 citations

  7. CEA Paris-Saclay

    Gif-sur-Yvette, France

    1 h-index

    1 publications

    43 citations

  8. Central China Normal University

    Wuhan, China

    1 h-index

    6 publications

    168 citations

1–8 of 19

Venues

  1. 1

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 43 citations

    1

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 83 citations

    1

    h-index

  4. Knowledge-Based Systems

    1 publications · 39 citations

    1

    h-index

  5. arXiv (Cornell University)

    Repository · 1 publications · 76 citations

    1

    h-index

1–5