Transformer-based Knowledge Tracing

Transformer-Based Knowledge Tracing is a knowledge tracing method that leverages the transformer architecture to model student learning by capturing long-range dependencies and complex temporal patterns in educational interaction sequences through self-attention mechanisms.

8

Publications

389

Citations

48

Authors

9

Institutions

Publications per year

2017–2026

8

Authors

48

  1. YZ
    Yan Zhao

    Northwest Normal University, China

    1 publications · 26 citations

    1

    h-index

  2. XW
    Xingmei Wang

    University of Pennsylvania, United States

    1 publications · 14 citations

    1

    h-index

  3. JC
    Jiajun Cui

    East China Normal University, China

    1 publications · 39 citations

    1

    h-index

  4. BL
    Bo Liu

    Shanghai Jiao Tong University, China

    1 publications · 14 citations

    1

    h-index

  5. DS
    Dongmin Shin

    Association for Computing Machinery, United States

    1 publications · 147 citations

    1

    h-index

1–5 of 48

Venues

  1. Knowledge-Based Systems

    2 publications · 59 citations

    2

    h-index

  2. ACM Transactions on Information Systems

    1 publications · 39 citations

    1

    h-index

  3. Electronic Commerce Research

    1 publications · 20 citations

    1

    h-index

  4. arXiv (Cornell University)

    Repository · 1 publications · 12 citations

    1

    h-index

  5. Expert Systems with Applications

    1 publications · 26 citations

    1

    h-index

1–5