Student Learning Process Modeling

Student Learning Process Modeling is a computational modeling approach within educational data mining that formally represents the temporal, sequential, and behavioral patterns of individual learners during their engagement with educational activities, distinguished by its focus on reconstructing and analyzing learning trajectories from trace data to infer pedagogically meaningful states and transitions.

1.5K

Publications

61.6K

Citations

4.2K

Authors

1.2K

Institutions

Publications per year

2017–2026

886

Authors

4.2K

  1. DG
    Dragan Gašević

    Monash University, Australia

    11 publications · 829 citations

    11

    h-index

  2. FJ
    Francisco José García‐Peñalvo

    Universidad de Salamanca, Spain

    9 publications · 197 citations

    9

    h-index

  3. CR
    Cristóbal Romero

    University of Córdoba, Spain

    6 publications · 3.1K citations

    6

    h-index

  4. MS
    Mohammed Saqr

    University of Eastern Finland, Finland

    6 publications · 306 citations

    6

    h-index

  5. DA
    Dwi Agus Kurniawan

    Jambi University, Indonesia

    6 publications · 210 citations

    6

    h-index

1–5 of 4.2K

Venues

  1. Journal of Physics Conference Series

    46 publications · 1K citations

    18

    h-index

  2. 17

    h-index

  3. Procedia - Social and Behavioral Sciences

    23 publications · 1.2K citations

    16

    h-index

  4. IEEE Transactions on Learning Technologies

    12 publications · 474 citations

    12

    h-index

  5. Procedia Computer Science

    14 publications · 313 citations

    12

    h-index

1–5