Learner Behavior Modeling

Learner Behavior Modeling is a computational framework within educational process mining that identifies, represents, and analyzes patterns of student interactions in digital learning environments to characterize individual and collective learning trajectories.

641

Publications

33.4K

Citations

1.6K

Authors

601

Institutions

Publications per year

2017–2026

279

Authors

1.6K

  1. RS
    Ryan S. Baker

    Columbia University, United States

    12 publications · 1K citations

    12

    h-index

  2. GB
    Gautam Biswas

    Vanderbilt University, United States

    11 publications · 541 citations

    11

    h-index

  3. SG
    Sabine Graf

    Athabasca University, Canada

    10 publications · 524 citations

    10

    h-index

  4. DG
    Dragan Gašević

    Monash University, Australia

    9 publications · 754 citations

    9

    h-index

  5. CG
    Christopher G. Brinton

    Purdue University West Lafayette, United States

    7 publications · 258 citations

    7

    h-index

1–5 of 1.6K

Venues

  1. Computers in Human Behavior

    18 publications · 1.7K citations

    18

    h-index

  2. IEEE Transactions on Learning Technologies

    17 publications · 806 citations

    17

    h-index

  3. Computers & Education

    17 publications · 3.7K citations

    16

    h-index

  4. Education and Information Technologies

    14 publications · 742 citations

    13

    h-index

  5. Educational Data Mining

    Conference · 12 publications · 307 citations

    11

    h-index

1–5