Collaboration Pattern Mining

Collaboration Pattern Mining is a computational methodology within collaborative learning analytics that identifies and analyzes recurrent, structured interactions among learners in digital environments to infer meaningful collaboration behaviors and their relationship to learning outcomes.

18

Publications

814

Citations

61

Authors

37

Institutions

Publications per year

2017–2026

5

Authors

61

  1. JK
    Judy Kay

    The University of Sydney, Australia

    4 publications · 450 citations

    4

    h-index

  2. KY
    Kalina Yacef

    The University of Sydney, Australia

    4 publications · 450 citations

    4

    h-index

  3. RM
    Roberto Martínez Maldonado

    The University of Sydney, Australia

    2 publications · 90 citations

    2

    h-index

  4. AA
    Ammar Al-Qaraghuli

    National University of Malaysia, Malaysia

    2 publications · 90 citations

    2

    h-index

  5. XW
    Xiao Wang

    Chinese Academy of Sciences, China

    1 publications · 21 citations

    2

    h-index

1–5 of 61

Venues

  1. Educational Data Mining

    Conference · 2 publications · 90 citations

    2

    h-index

  2. IEEE Transactions on Intelligent Vehicles

    ITIVBL · 1 publications · 21 citations

    2

    h-index

  3. Research Explorer (The University of Manchester)

    Repository · 1 publications · 12 citations

    1

    h-index

  4. Journal of Network and Computer Applications

    JNCA · 1 publications · 19 citations

    1

    h-index

  5. E-LIS Repository (University of Naples Federico II)

    Repository · 1 publications · 15 citations

    1

    h-index

1–5