Using Social Network Analysis and Network Graphs to Analyze Students Online Communication Patterns
Scot McNary, Liyan Song, EDLT/Towson University, United States
Society for Information Technology & Teacher Education International Conference, in Nashville, Tennessee, USA ISBN 978-1-880094-84-6 Publisher: Association for the Advancement of Computing in Education (AACE), Chesapeake, VA
It is important to study student interactions in online courses. Social Network Analysis provides tools by which the collective effects of communication patterns can be studied. We hypothesize that course structural components, such as assigning students into facilitation roles, affect communication patterns in particular ways. We use measures of centrality from Social Network Analysis and network graphs to evaluate our hypotheses. We find support for some, but not all, of our hypotheses, which leads us to believe that some roles may be more strongly determined by role demands than others.
McNary, S. & Song, L. (2011). Using Social Network Analysis and Network Graphs to Analyze Students Online Communication Patterns. In M. Koehler & P. Mishra (Eds.), Proceedings of SITE 2011--Society for Information Technology & Teacher Education International Conference (pp. 533-540). Nashville, Tennessee, USA: Association for the Advancement of Computing in Education (AACE).
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