Knowledge State Tracking

Knowledge State Tracking is a learner modeling method that dynamically monitors and updates an individual's mastery level over time by estimating evolving proficiencies in specific knowledge components based on observed performance.

47

Publications

3.8K

Citations

146

Authors

53

Institutions

Publications per year

2017–2026

40

Authors

146

  1. QL
    Qi Liu

    University of Science and Technology of China, China

    12 publications · 1.5K citations

    12

    h-index

  2. ZH
    Zhenya Huang

    University of Science and Technology of China, China

    12 publications · 1.5K citations

    12

    h-index

  3. EC
    Enhong Chen

    University of Science and Technology of China, China

    12 publications · 1.5K citations

    12

    h-index

  4. YS
    Yu Su

    University of Science and Technology of China, China

    7 publications · 1K citations

    7

    h-index

  5. SS
    Shuanghong Shen

    University of Science and Technology of China, China

    7 publications · 742 citations

    7

    h-index

1–5 of 146

Venues

  1. IEEE Transactions on Learning Technologies

    4 publications · 225 citations

    4

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 3 publications · 573 citations

    3

    h-index

  3. arXiv (Cornell University)

    Repository · 3 publications · 145 citations

    3

    h-index

  4. IEEE Access

    3 publications · 55 citations

    3

    h-index

  5. Knowledge-Based Systems

    2 publications · 104 citations

    2

    h-index

1–5