Learner Behavior Analysis

Learner Behavior Analysis is a subfield of Educational Data Mining that identifies and interprets patterns in learners' interactions with digital learning environments to infer cognitive, metacognitive, and affective states underlying academic performance.

4.8K

Publications

240.6K

Citations

10.8K

Authors

2.7K

Institutions

Publications per year

2017–2026

2.4K

Authors

10.8K

  1. RS
    Ryan S. Baker

    Columbia University, United States

    60 publications · 6.6K citations

    38

    h-index

  2. DG
    Dragan Gašević

    Monash University, Australia

    54 publications · 5.1K citations

    37

    h-index

  3. SD
    Shane Dawson

    University of South Australia, Australia

    21 publications · 3.5K citations

    19

    h-index

  4. MN
    Michail N. Giannakos

    Norwegian University of Science and Technology, Norway

    21 publications · 1.7K citations

    19

    h-index

  5. AP
    Abelardo Pardo

    University of South Australia, Australia

    20 publications · 1.9K citations

    18

    h-index

1–5 of 10.8K

Venues

  1. Computers & Education

    86 publications · 11.4K citations

    56

    h-index

  2. Computers in Human Behavior

    59 publications · 5.8K citations

    44

    h-index

  3. British Journal of Educational Technology

    BJET · 47 publications · 3.2K citations

    34

    h-index

  4. Interactive Learning Environments

    ILE · 68 publications · 3.1K citations

    33

    h-index

  5. IEEE Access

    56 publications · 2.7K citations

    32

    h-index

1–5