Student Knowledge Modeling

Student Knowledge Modeling is a computational framework within the field of educational data mining that characterizes the structure, acquisition, and evolution of individual learners' understanding in a specific domain by representing their knowledge states, misconceptions, and learning trajectories through formalized models derived from observed interactions and performance data.

539

Publications

25.6K

Citations

1.4K

Authors

497

Institutions

Publications per year

2017–2026

164

Authors

1.4K

  1. PB
    Peter Brusilovsky

    University of Pittsburgh, United States

    16 publications · 657 citations

    14

    h-index

  2. NT
    Neil T. Heffernan

    Worcester Polytechnic Institute, United States

    15 publications · 551 citations

    13

    h-index

  3. RS
    Ryan S. Baker

    Columbia University, United States

    12 publications · 585 citations

    11

    h-index

  4. JE
    Joseph E. Beck

    Worcester Polytechnic Institute, United States

    9 publications · 229 citations

    9

    h-index

  5. KR
    Kenneth R. Koedinger

    Carnegie Mellon University, United States

    8 publications · 238 citations

    8

    h-index

1–5 of 1.4K

Venues

  1. Educational Data Mining

    Conference · 17 publications · 1.2K citations

    13

    h-index

  2. 12

    h-index

  3. Computers & Education

    10 publications · 568 citations

    10

    h-index

  4. Expert Systems with Applications

    9 publications · 1.2K citations

    9

    h-index

  5. User Modeling and User-Adapted Interaction

    8 publications · 701 citations

    8

    h-index

1–5