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
18
1–5 of 18
61
4
h-index
4
h-index
2
h-index
2
h-index
2
h-index
1–5 of 61
37

The University of Sydney
Sydney, Australia
4 h-index
13 publications
1.6K citations

Newcastle University
Newcastle upon Tyne, United Kingdom
2 h-index
3 publications
170 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
2 publications
42 citations
University of Technology Sydney
Sydney, Australia
2 h-index
5 publications
197 citations

National University of Malaysia
Bangi, Malaysia
2 h-index
2 publications
90 citations
Florida Atlantic University
Boca Raton, United States
1 h-index
1 publications
21 citations
UCLouvain
Louvain-la-Neuve, Belgium
1 h-index
1 publications
19 citations
Shandong Institute of Automation
Jinan, China
1 h-index
2 publications
42 citations
1–8 of 37
Conference · 2 publications · 90 citations
2
h-index
ITIVBL · 1 publications · 21 citations
2
h-index
Repository · 1 publications · 12 citations
1
h-index
JNCA · 1 publications · 19 citations
1
h-index
Repository · 1 publications · 15 citations
1
h-index
1–5