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

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

Brief Paper ID: 32128
  1. aaa
    Scot McNary
    EDLT/Towson University
  2. aaa
    Liyan Song
    EDLT/Towson University

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.

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