Multimodal Collaboration Analysis

Multimodal Collaboration Analysis is a computational method in Collaborative Learning Analytics that integrates and analyzes multiple data streams—such as speech, gesture, gaze, and digital trace data—to holistically assess the dynamics, patterns, and quality of collaborative interactions among learners.

53

Publications

2K

Citations

162

Authors

77

Institutions

Publications per year

2017–2026

41

Authors

162

  1. MC
    Mutlu Cukurova

    University College London, United Kingdom

    6 publications · 434 citations

    6

    h-index

  2. DS
    Daniel Spikol

    Malmö University, Sweden

    5 publications · 302 citations

    5

    h-index

  3. RM
    Roberto Martínez‐Maldonado

    Monash University, Australia

    5 publications · 292 citations

    5

    h-index

  4. RN
    René Noël

    University of Valparaíso, Chile

    4 publications · 121 citations

    4

    h-index

  5. CC
    Cristian Cechinel

    Universidade Federal de Santa Catarina, Brazil

    4 publications · 121 citations

    4

    h-index

1–5 of 162

Venues

  1. 3

    h-index

  2. British Journal of Educational Technology

    BJET · 3 publications · 81 citations

    3

    h-index

  3. IEEE Access

    2 publications · 64 citations

    2

    h-index

  4. Sensors

    2 publications · 65 citations

    2

    h-index

  5. Journal of Learning Analytics

    2 publications · 41 citations

    2

    h-index

1–5