Student Knowledge Estimation

Student Knowledge Estimation is a computational modeling approach within student modeling that specifically quantifies a learner's mastery level of educational concepts or skills based on observed behavior, distinguishing it from broader diagnostic or affective modeling by focusing on cognitive proficiency assessment.

166

Publications

6.5K

Citations

462

Authors

187

Institutions

Publications per year

2017–2026

59

Variants

Knowledge State Estimation

Authors

462

  1. NT
    Neil T. Heffernan

    Worcester Polytechnic Institute, United States

    7 publications · 226 citations

    7

    h-index

  2. RS
    Ryan S. Baker

    Columbia University, United States

    5 publications · 98 citations

    5

    h-index

  3. MV
    Maria Virvou

    University of Piraeus, Greece

    4 publications · 97 citations

    4

    h-index

  4. RC
    Ricardo Conejo

    Universidad de Málaga, Spain

    4 publications · 206 citations

    4

    h-index

  5. KR
    Kenneth R. Koedinger

    Carnegie Mellon University, United States

    3 publications · 58 citations

    3

    h-index

1–5 of 462

Venues

  1. Educational Data Mining

    Conference · 4 publications · 121 citations

    4

    h-index

  2. The Journal of Environmental Education

    3 publications · 110 citations

    3

    h-index

  3. IEEE Transactions on Learning Technologies

    3 publications · 240 citations

    3

    h-index

  4. Sustainability

    3 publications · 169 citations

    3

    h-index

  5. IEEE Transactions on Education

    2 publications · 118 citations

    2

    h-index

1–5