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Abstract Title: Studying Community Development: A Network Analytical Approach
Abstract: Research shows that community plays a central role in learning, and strong community support helps to engage students and aid in student persistence. Thus, understanding the function and structure of communities in learning environments is essential to education. We use social network analysis to explore the community dynamics of STEM students in a pre-matriculation, two-week summer program. Unlike previous network analysis studies in PER, we build our networks from classroom video that has been coded for student interactions using labeled, directed ties. We define 3 types of interaction: task oriented interactions (regarding the assigned task), topical interactions (having to do with STEM), and off topic interactions (unrelated to the assignment or STEM). To understand the development of community in this program, we analyze the evolution of the network during an activity, as well as over the course of the program by comparing the network from two different days.
Abstract Type: Juried Talk
Parallel Session: Juried Talks I
Parallel Session: Parallel Sessions Cluster I
Contributed Paper Record: Contributed Paper Information
Contributed Paper Download: Download Contributed Paper

Author/Organizer Information

Primary Contact: Christopher A. Hass
and Co-Presenter(s)
P. A. Ouimet, F. Genz, M.B. Kustusch, K. Pomian, E.C. Sayre, and J.P. Zwolak