Social Network Analysis in Teacher Education: Investigating Teacher Candidate Interactions With Threadz on Canvas (Poster 44)

• In Event: Sunday Poster Session 3:05 pm
  In Poster Session: Technology Innovations for Learning

Abstract

Can access to social network analysis (SNA) data influence online discussion behavior in an educational setting? Applying a socio-constructive framework that investigated teacher candidate interaction we conducted a within-subject design experiment over the course of three weeks. We employed SNA as both intervention and analytic method.
Teacher education students (n=18) participated in three online discussions. In two online discussions students could access SNA visualizations via Threadz, a Canvas SNA plugin. The research investigated how the exposure to SNA data influenced students, and how the application might support socio—constructive learning in a technology-enhanced environment.
We concluded that sharing SNA data with students can influence learner behavior in a group setting and manipulate their engagement in online discussions.

Authors

• Fabian Froehlich, New York University - Shanghai

• Jillianne Code, University of British Columbia