Rule-based Student Modeling

Rule-Based Student Modeling is a type of student modeling approach that belongs to the broader category of expert modeling, distinguished by its use of predefined symbolic rules to represent and infer students' knowledge, skills, or cognitive states based on observed behaviors or responses.

21

Publications

834

Citations

55

Authors

28

Institutions

Publications per year

2017–2026

5

Authors

55

  1. YK
    Yasuyuki Kono

    Nara Institute of Science and Technology, Japan

    1 publications · 12 citations

    1

    h-index

  2. MH
    Mehedi Hasan

    Wayne State University, United States

    1 publications · 25 citations

    1

    h-index

  3. SE
    Shaymaa E. Sorour

    Kafrelsheikh University, Egypt

    1 publications · 16 citations

    1

    h-index

  4. AG
    Antonio Gisolfi

    University of Salerno, Italy

    1 publications · 13 citations

    1

    h-index

  5. NR
    Ning Ratwastuti

    Universitas Gadjah Mada, Indonesia

    1 publications · 41 citations

    1

    h-index

1–5 of 55

Venues

  1. Expert Systems with Applications

    2 publications · 162 citations

    2

    h-index

  2. The American Journal of Psychology

    AJP · 1 publications · 14 citations

    1

    h-index

  3. IEEE Access

    1 publications · 32 citations

    1

    h-index

  4. 1

    h-index

  5. Computers & Education

    1 publications · 13 citations

    1

    h-index

1–5