Social network data from teacher leader development
Samuel J. Polizzi,
Brandon Ofem,
William Coyle,
Keith Lundquist,
Gregory T. Rushton
Affiliations
Samuel J. Polizzi
Department of Chemistry and Tennessee STEM Education Center, Middle Tennessee State University, Murfreesboro, TN 37130, USA; Department of Chemistry and Biochemistry, Kennesaw State University, Kennesaw, GA 30144, USA
Brandon Ofem
Department of Global Leadership and Management, University of Missouri – St. Louis, St. Louis, MO 63121, USA
William Coyle
Department of Chemistry and Biochemistry, Kennesaw State University, Kennesaw, GA 30144, USA
Keith Lundquist
Department of Chemistry and Institute for STEM Education, Stony Brook University, Stony Brook, NY 11790, USA
Gregory T. Rushton
Department of Chemistry and Tennessee STEM Education Center, Middle Tennessee State University, Murfreesboro, TN 37130, USA; Department of Chemistry and Institute for STEM Education, Stony Brook University, Stony Brook, NY 11790, USA; Corresponding author. Department of Chemistry and Tennessee STEM Education Center, Middle Tennessee State University, Murfreesboro, TN 37130, USA.
Social network analysis can draw upon surveys and discussions to generate quantitative and qualitative data. We describe network data generated via a social network survey and discussion activity with high school science teachers in a teacher leadership development program. Data include social network maps related to seeking expertise in teaching content and/or pedagogy, disaggregated by contacts at the school, district, state, nation, and international spheres of influence. Data also include transcripts of the activity and teacher discussions of networks in their own educational settings. This data article is related to the research article, “The use of visual network scales in teacher leader development” Polizzi et al., 2019, where data interpretation can be found. Keywords: Social network analysis, Visual network scales, Teacher leadership, Science teacher education, Professional development