Student Attention Modeling

Student Attention Modeling is a computational framework within learner engagement modeling that specifically characterizes the cognitive and behavioral focus of students during educational activities, distinguishing itself by quantifying moment-to-moment attentional states through multimodal data sources such as eye-tracking, neural signals, or interaction logs.

126

Publications

5.7K

Citations

424

Authors

184

Institutions

Publications per year

2017–2026

85

Authors

424

  1. MR
    Mirko Raca

    École Polytechnique Fédérale de Lausanne, Switzerland

    4 publications · 186 citations

    4

    h-index

  2. PD
    Pierre Dillenbourg

    École Polytechnique Fédérale de Lausanne, Switzerland

    4 publications · 293 citations

    4

    h-index

  3. JK
    Jochen Kühn

    University of Kaiserslautern, Germany

    3 publications · 59 citations

    3

    h-index

  4. JZ
    Jingjing Zhang

    Beijing Normal University, China

    4 publications · 166 citations

    3

    h-index

  5. TV
    Tamara van Gog

    Erasmus University Rotterdam, Netherlands

    3 publications · 177 citations

    3

    h-index

1–5 of 424

Venues

  1. Computers in Human Behavior

    4 publications · 299 citations

    4

    h-index

  2. Multimedia Tools and Applications

    3 publications · 56 citations

    3

    h-index

  3. Computers & Education

    3 publications · 214 citations

    3

    h-index

  4. Distance Education

    DE · 2 publications · 56 citations

    2

    h-index

  5. Journal of Computer Assisted Learning

    2 publications · 67 citations

    2

    h-index

1–5