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This work describes methods for collecting user activity data in a peer production educational system, the Instructional Architect (IA), and then takes a social network perspective in analyzing these data. In particular, rather than focusing on content produced, it focuses on the relationship between users (teachers), and how they can be analyzed to identify important users and like-minded user groups. Our analyses and results provide an example for how to select the most important factors in analyzing the dynamics of an online peer production community using social network analysis metrics, such as in-degree, out-degree, betweenness, clique, and community.


Poster presented at the 3rd International Conference on Educational Data Mining in Pittsburgh, PA. A short paper associated with the poster was also completed.

Additional Files

edm2010_submission_39.pdf (84 kB)
Poster abstract/paper



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