Learner Knowledge State Estimation

Learner Knowledge State Estimation is a computational inference process within learner modeling that determines a learner’s current level of understanding or mastery of specific knowledge components by analyzing observed interactions and performance patterns within an educational system.

36

Publications

2K

Citations

136

Authors

50

Institutions

Publications per year

2017–2026

27

Authors

136

  1. QL
    Qi Liu

    University of Science and Technology of China, China

    6 publications · 526 citations

    6

    h-index

  2. EC
    Enhong Chen

    University of Science and Technology of China, China

    6 publications · 526 citations

    6

    h-index

  3. ZH
    Zhenya Huang

    University of Science and Technology of China, China

    6 publications · 526 citations

    6

    h-index

  4. SS
    Shuanghong Shen

    University of Science and Technology of China, China

    5 publications · 503 citations

    5

    h-index

  5. YS
    Yu Su

    University of Science and Technology of China, China

    3 publications · 264 citations

    3

    h-index

1–5 of 136

Venues

  1. IEEE Transactions on Learning Technologies

    3 publications · 206 citations

    3

    h-index

  2. Knowledge-Based Systems

    2 publications · 104 citations

    2

    h-index

  3. arXiv (Cornell University)

    Repository · 2 publications · 99 citations

    2

    h-index

  4. Expert Systems

    1 publications · 13 citations

    1

    h-index

  5. D-Scholarship@Pitt (University of Pittsburgh)

    Repository · 1 publications · 26 citations

    1

    h-index

1–5