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Τίτλος: Predicting students’ communication in online learning social networks
Συγγραφείς: Zaphiris, Panayiotis 
Laghos, Andrew 
Major Field of Science: Humanities
Field Category: Arts
Λέξεις-κλειδιά: Computer-mediated communication;Human-computer interaction;Social networks;Internet
Ημερομηνία Έκδοσης: Ιαν-2012
Πηγή: International Journal of Electrical & Computer Sciences, 2012, vol. 12, no. 4, pp. 1-9
Volume: 12
Issue: 4
Start page: 1
End page: 9
Περιοδικό: International Journal of Electrical & Computer Sciences 
Περίληψη: 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.
URI: https://hdl.handle.net/20.500.14279/3943
ISSN: 20771231
Type: Article
Affiliation: Cyprus University of Technology 
Εμφανίζεται στις συλλογές:Άρθρα/Articles

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