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Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/jspui/handle/10488/5919

Title: Predicting students’ communication in online learning social networks
Authors: Zaphiris, Panayiotis
Laghos, Andrew
???metadata.dc.subject.field???: Humanities
???metadata.dc.subject.category???: Arts
Keywords: Computer-mediated communication
Human-computer interaction
Social networks
Internet
Issue Date: 2012
Publisher: IJENS
Citation: International Journal of Electrical & Computer Sciences, 2012, Volume 12, Number 04, Pages 1-9
Abstract: This paper provides a new approach for analysing social networks that are formed around e-Learning environments. A combination of three methods (Social Network Analysis, Collectivist Online Learning Environment Survey, Attitudes Towards Thinking and Learning Survey) was applied to a case study of an online course. Following this, correlations were carried out between the students’ responses to the questionnaires and their actual social interaction in the elearning course. Based on these results we were able to provide insights on methods that can be used to predict the students’ social interactions when they take part in communication activities in e-Learning environments.
???metadata.dc.type.*???: Article
ISSN: 2077-1231 (Online)
2227-2739 (Print)
???metadata.dc.subject.collaboration???: Cyprus University of Technology
???metadata.dc.subject.country???: Cyprus
United Kingdom
???metadata.dc.subject.journals???: Subscription Journal
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