Adaptive Student Modeling

Adaptive Student Modeling is a computational framework within expert modeling that dynamically refines its representation of a student’s knowledge and learning needs through continuous analysis of interaction data, distinguishing itself by its real-time responsiveness to individual learning trajectories.

62

Publications

1.9K

Citations

161

Authors

74

Institutions

Publications per year

2017–2026

17

Authors

161

  1. FA
    Fabiano A. Dorça

    Universidade Federal de Uberlândia, Brazil

    5 publications · 119 citations

    5

    h-index

  2. KK
    Kinshuk Kinshuk

    Athabasca University, Canada

    4 publications · 86 citations

    4

    h-index

  3. MV
    Maria Virvou

    University of Piraeus, Greece

    4 publications · 156 citations

    4

    h-index

  4. SG
    Sabine Graf

    Athabasca University, Canada

    3 publications · 75 citations

    3

    h-index

  5. RP
    Radek Pelánek

    Masaryk University, Czechia

    3 publications · 90 citations

    3

    h-index

1–5 of 161

Venues

  1. User Modeling and User-Adapted Interaction

    4 publications · 238 citations

    4

    h-index

  2. 2

    h-index

  3. Knowledge Management & E-Learning An International Journal

    KM&EL · 2 publications · 135 citations

    2

    h-index

  4. IEEE Access

    1 publications · 31 citations

    1

    h-index

  5. Clinical Chemistry

    1 publications · 30 citations

    1

    h-index

1–5