Temporal Knowledge Tracing

Temporal Knowledge Tracing is a knowledge tracing model that incorporates temporal dynamics to capture the evolution of student knowledge over time by explicitly modeling the time intervals between student interactions.

11

Publications

644

Citations

52

Authors

14

Institutions

Publications per year

2017–2026

7

Variants

Tkt

Authors

52

  1. PB
    Peter Brusilovsky

    University of Pittsburgh, United States

    2 publications · 119 citations

    2

    h-index

  2. YH
    Yun Huang

    University of Pittsburgh, United States

    2 publications · 119 citations

    2

    h-index

  3. JP
    José P. González-Brenes

    Pearson (United States), United States

    2 publications · 119 citations

    2

    h-index

  4. ZL
    Zefeng Lai

    University of Science and Technology of China, China

    1 publications · 13 citations

    1

    h-index

  5. HL
    Huijie Lin

    Tsinghua University, China

    1 publications · 103 citations

    1

    h-index

1–5 of 52

Venues

  1. Educational Data Mining

    Conference · 2 publications · 131 citations

    2

    h-index

  2. Expert Systems with Applications

    1 publications · 46 citations

    1

    h-index

  3. Expert Systems

    1 publications · 13 citations

    1

    h-index

  4. IEEE Access

    1 publications · 21 citations

    1

    h-index

  5. Computers & Electrical Engineering

    1 publications · 17 citations

    1

    h-index

1–5