Knowledge State Representation

Knowledge State Representation is a formal model in Intelligent Tutoring System Analytics that specifies a learner's current cognitive status by encoding mastered and unmastered knowledge components within a structured domain, distinguishing it from other learner models through its focus on granular, assessable units of knowledge and their dynamic interrelationships.

179

Publications

9.8K

Citations

460

Authors

197

Institutions

Publications per year

2017–2026

56

Authors

460

  1. ZH
    Zhenya Huang

    University of Science and Technology of China, China

    9 publications · 699 citations

    9

    h-index

  2. EC
    Enhong Chen

    University of Science and Technology of China, China

    9 publications · 699 citations

    9

    h-index

  3. QL
    Qi Liu

    University of Science and Technology of China, China

    8 publications · 666 citations

    8

    h-index

  4. SS
    Shuanghong Shen

    University of Science and Technology of China, China

    6 publications · 589 citations

    6

    h-index

  5. KK
    Kikumi K. Tatsuoka

    University of Illinois Urbana-Champaign, United States

    4 publications · 184 citations

    4

    h-index

1–5 of 460

Venues

  1. Knowledge-Based Systems

    5 publications · 164 citations

    5

    h-index

  2. IEEE Transactions on Learning Technologies

    5 publications · 249 citations

    5

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 4 publications · 234 citations

    4

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 3 publications · 106 citations

    3

    h-index

  5. arXiv (Cornell University)

    Repository · 3 publications · 119 citations

    3

    h-index

1–5