Graph-based Knowledge Tracing

Graph-Based Knowledge Tracing is a knowledge tracing framework that leverages graph structures to model the relational dependencies among knowledge concepts and student interactions, distinguishing itself from other frameworks by explicitly representing educational knowledge as a graph to enhance learning trajectory prediction and personalized modeling.

18

Publications

1.5K

Citations

70

Authors

35

Institutions

Publications per year

2017–2026

18

Authors

70

  1. XS
    Xiangyu Song

    Deakin University, Australia

    3 publications · 594 citations

    3

    h-index

  2. JL
    Jianxin Li

    Deakin University, Australia

    3 publications · 594 citations

    3

    h-index

  3. QL
    Qi Liu

    University of Science and Technology of China, China

    2 publications · 43 citations

    2

    h-index

  4. WH
    Wenyuan Han

    University of Science and Technology of China, China

    2 publications · 43 citations

    2

    h-index

  5. ST
    Shiwei Tong

    University of Science and Technology of China, China

    2 publications · 43 citations

    2

    h-index

1–5 of 70

Venues

  1. Expert Systems with Applications

    4 publications · 192 citations

    4

    h-index

  2. Information Sciences

    2 publications · 258 citations

    2

    h-index

  3. Knowledge-Based Systems

    2 publications · 387 citations

    2

    h-index

  4. ACM Transactions on Information Systems

    1 publications · 81 citations

    1

    h-index

  5. 1

    h-index

1–5