Knowledge State Transition Modeling

Knowledge State Transition Modeling is a computational framework within knowledge tracing that formalizes the evolution of a learner’s proficiency over time by representing knowledge states as discrete conditions and modeling transitions between these states as probabilistic or deterministic responses to learning activities.

21

Publications

1.9K

Citations

69

Authors

36

Institutions

Publications per year

2017–2026

10

Authors

69

  1. ZH
    Zhenya Huang

    University of Science and Technology of China, China

    4 publications · 359 citations

    4

    h-index

  2. QL
    Qi Liu

    University of Science and Technology of China, China

    4 publications · 359 citations

    4

    h-index

  3. EC
    Enhong Chen

    University of Science and Technology of China, China

    4 publications · 359 citations

    4

    h-index

  4. SS
    Shuanghong Shen

    University of Science and Technology of China, China

    4 publications · 359 citations

    4

    h-index

  5. LG
    Leonarda Gargasaite

    Vilnius Gediminas Technical University, Lithuania

    2 publications · 29 citations

    2

    h-index

1–5 of 69

Venues

  1. 2

    h-index

  2. Computers & Education

    1 publications · 125 citations

    1

    h-index

  3. Scientometrics

    1 publications · 23 citations

    1

    h-index

  4. arXiv (Cornell University)

    Repository · 1 publications · 73 citations

    1

    h-index

  5. Eastern-European Journal of Enterprise Technologies

    EEJET · 1 publications · 33 citations

    1

    h-index

1–5