Personalized Learning Path Modeling

Personalized Learning Path Modeling is a computational framework within knowledge tracing that generates individualized sequences of learning activities by dynamically modeling a learner’s evolving knowledge state and adapting subsequent content recommendations to optimize acquisition and retention.

40

Publications

2.8K

Citations

154

Authors

72

Institutions

Publications per year

2017–2026

25

Authors

154

  1. CC
    Chih‐Ming Chen

    National Chengchi University, Taiwan

    2 publications · 456 citations

    2

    h-index

  2. PT
    Parimala Thulasiraman

    University of Manitoba, Canada

    1 publications · 100 citations

    1

    h-index

  3. HW
    Huan Wei

    Hong Kong University of Science and Technology, Hong Kong SAR China

    1 publications · 50 citations

    1

    h-index

  4. MA
    Márcia A. Fernandes

    Universidade Federal de Uberlândia, Brazil

    1 publications · 14 citations

    1

    h-index

  5. ST
    Shiwei Tong

    University of Science and Technology of China, China

    1 publications · 30 citations

    1

    h-index

1–5 of 154

Venues

  1. Computers & Education

    3 publications · 860 citations

    3

    h-index

  2. IEEE Transactions on Learning Technologies

    2 publications · 139 citations

    2

    h-index

  3. Procedia Computer Science

    2 publications · 105 citations

    2

    h-index

  4. Knowledge-Based Systems

    2 publications · 284 citations

    2

    h-index

  5. 2

    h-index

1–5