Affective Analytics

Affective Analytics is a subfield of Learning Analytics that focuses on the measurement, interpretation, and application of emotional, motivational, and attitudinal states of learners to enhance educational outcomes and support personalized learning experiences.

68

Publications

3.3K

Citations

201

Authors

94

Institutions

Publications per year

2017–2026

33

Authors

201

  1. RS
    Ryan S. Baker

    Columbia University, United States

    3 publications · 223 citations

    3

    h-index

  2. SK
    Sidney K. D’Mello

    University of Notre Dame, United States

    3 publications · 89 citations

    3

    h-index

  3. JO
    Jaclyn Ocumpaugh

    Columbia University, United States

    3 publications · 223 citations

    3

    h-index

  4. RS
    Ruimin Shen

    Shanghai Jiao Tong University, China

    2 publications · 417 citations

    2

    h-index

  5. AS
    Aatish Salvi

    Worcester Polytechnic Institute, United States

    2 publications · 169 citations

    2

    h-index

1–5 of 201

Venues

  1. EdMedia: World Conference on Educational Media and Technology

    Conference · 2 publications · 41 citations

    2

    h-index

  2. arXiv (Cornell University)

    Repository · 1 publications · 11 citations

    1

    h-index

  3. Computer Science Review

    1 publications · 47 citations

    1

    h-index

  4. Personality and Individual Differences

    1 publications · 59 citations

    1

    h-index

  5. 1

    h-index

1–5