Learning Analytics From Video

Learning Analytics From Video is a methodological framework within educational data mining that systematically extracts, analyzes, and interprets behavioral and interaction patterns from video recordings of learning activities to quantify and support instructional processes and learner outcomes.

111

Publications

5K

Citations

312

Authors

127

Institutions

Publications per year

2017–2026

71

Authors

312

  1. PD
    Pierre Dillenbourg

    École Polytechnique Fédérale de Lausanne, Switzerland

    5 publications · 243 citations

    5

    h-index

  2. MN
    Michail N. Giannakos

    Norwegian University of Science and Technology, Norway

    4 publications · 173 citations

    4

    h-index

  3. PJ
    Patrick Jermann

    École Polytechnique Fédérale de Lausanne, Switzerland

    4 publications · 134 citations

    4

    h-index

  4. HQ
    Huamin Qu

    Hong Kong University of Science and Technology, Hong Kong SAR China

    4 publications · 275 citations

    4

    h-index

  5. AA
    Ahmed A. Mubarak

    Shaanxi Normal University, China

    3 publications · 184 citations

    3

    h-index

1–5 of 312

Venues

  1. Journal of Learning Analytics

    4 publications · 125 citations

    4

    h-index

  2. Education and Information Technologies

    4 publications · 231 citations

    4

    h-index

  3. Computers & Education

    4 publications · 186 citations

    4

    h-index

  4. Computers in Human Behavior

    3 publications · 467 citations

    3

    h-index

  5. arXiv (Cornell University)

    Repository · 3 publications · 113 citations

    3

    h-index

1–5