Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorDado, Marielle
dc.contributor.authorHecking, Tobias
dc.contributor.authorBodemer, Daniel
dc.contributor.authorHoppe, H. Ulrich
dc.identifier.citationDado, M., Hecking, T., Bodemer, D., & Hoppe, H. U. (2017). On the Adoption of Social Network Analysis Methods in CSCL Research – A Network Analysis In Smith, B. K., Borge, M., Mercier, E., and Lim, K. Y. (Eds.). (2017). Making a Difference: Prioritizing Equity and Access in CSCL, 12th International Conference on Computer Supported Collaborative Learning (CSCL) 2017, Volume 1. Philadelphia, PA: International Society of the Learning Sciences.en_US
dc.description.abstractOriginating from mathematical sociology, social network analysis (SNA) is a method for analyzing and representing relational structures in online communities. SNA applications in learning settings and CSCL scenarios are growing in popularity, which is in-line with new trends in learning analytics. For the CSCL research community, the adoption of SNA techniques as part of the methodological repertoire requires adequate understanding of the core concepts, their potential contributions, and limitations. We started from the hypotheses that (1) most applications of SNA in CSCL research make use of a small set of basic methods; and (2) the discourse related to SNA is partly inadequate or imprecise. To further analyze and corroborate these “issue hypotheses” we have used network analysis techniques in order to reveal relations between SNA measures and specific aspects of CSCL research (activities, contexts, research methods) based on a corpus of 90 published studies. Based on the results we pinpoint specific issues and outline new opportunities.en_US
dc.publisherPhiladelphia, PA: International Society of the Learning Sciences.en_US
dc.titleOn the Adoption of Social Network Analysis Methods in CSCL Research – A Network Analysisen_US
dc.typeBook chapteren_US
Appears in Collections:CSCL 2017

Files in This Item:
File SizeFormat 
40.pdf1 MBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.