A review of methodological applications of social network analysis in computer-supported collaborative learning.

Autor/inn/en	Dado, Marielle; Bodemer, Daniel
Titel	A review of methodological applications of social network analysis in computer-supported collaborative learning. Gefälligkeitsübersetzung: Ein Überblick über methodische Anwendungen der sozialen Netzwerkanalyse im computergestützten kollaborativen Lernen.
Quelle	In: Educational research review, (2017) 22, S. 159-180Infoseite zur Zeitschrift PDF als Volltext Link als defekt meldenVerfügbarkeit
Sprache	englisch
Dokumenttyp	online; Zeitschriftenaufsatz
ISSN	1747-938X
DOI	10.1016/j.edurev.2017.08.005
Schlagwörter	Methodologie; Lernen; Computer; Kollaboration; Soziales Netzwerk; Analyse
Abstract	Examined trends in the applications of social network analysis (SNA) as a research method for analyzing learner interactions during computer-supported collaborative learning (CSCL). A total of 89 studies were analyzed in this review. Results indicate that SNA is poised to become a relevant research method for understanding interactions in CSCL because of its adaptability to various contexts and units of analysis, and its ability to generate insights from large digital data sources. However, there are many crucial aspects of CSCL that were not incorporated in the analysis of CSCL networked data. Future research can take the potential of SNA further by focusing on mediated interaction, integrating technical, instructional, and knowledge artifacts as SNA actors, relating SNA findings with cognitive, social and motivational CSCL outcomes using statistical analysis, and integrating SNA results in CSCL environments to test its utility as a feedback mechanism. The unique contributions of SNA to CSCL from the applications discussed in this review should make this a worthwhile endeavor. (ZPID).
Erfasst von	Leibniz-Institut für Psychologie, Trier
Update	2026/1