Monitoring Transformations in District-Wide Teacher Learning Networks through Social Network Analysis
Abstract
"Internal factors in a school district greatly impact change and innovation, and social network analysis can be used to assess the effectiveness of efforts to mobilize resources and exchange ideas which foster reform. During a multi-year, large-scale National Science Foundation Math Science Partnership to enhance content knowledge in science teaching and develop entrepreneurial habits, researchers analyzed a partner school district's teaching networks in 2011 and 2012. Analysis indicated that at a time of teacher turnover and administration changes, many networks declined, especially those that exchanged learning about classroom management. Yet at the same time, networks around science teaching and learning grew, possibly as a result of the district's engagement with the EnLiST project and its focus on transformative collaboration."
