Affective Collaboration Analysis

Affective Collaboration Analysis is a subfield of Collaborative Learning Analytics that specifically focuses on the systematic identification, measurement, and interpretation of emotional, motivational, and affective states and interactions among learners during collaborative learning processes to enhance understanding of group dynamics and learning outcomes.

2

Publications

48

Citations

5

Authors

5

Institutions

Publications per year

2017–2026

2

Authors

5

  1. AR
    Ainurul Rosli

    Brunel University of London, United Kingdom

    1 publications · 33 citations

    1

    h-index

  2. MD
    Muthu De Silva

    Birkbeck, University of London, United Kingdom

    1 publications · 33 citations

    1

    h-index

  3. NY
    Nick Yip

    University of East Anglia, United Kingdom

    1 publications · 33 citations

    1

    h-index

  4. FR
    Federica Rossi

    Birkbeck, University of London, United Kingdom

    1 publications · 33 citations

    1

    h-index

  5. IK
    Igor’ Kontorovich

    University of Auckland, New Zealand

    1 publications · 15 citations

    1

    h-index

1–5 of 5

Venues

  1. Technological Forecasting and Social Change

    1 publications · 33 citations

    1

    h-index

  2. 1

    h-index

1–2