Using Social Network Analysis and Network Graphs to Analyze Students Online Communication Patterns

ID: 32128 Type: Brief Paper
  1. Scot McNary and Liyan Song, EDLT/Towson University, United States

Tuesday, March 8 5:55 PM-6:15 PM Location: Tulip Grove E

No presider for this session.

Abstract: 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.


Conference attendees are able to comment on papers, view the full text and slides, and attend live presentations. If you are an attendee, please login to get full access.