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Social network data from teacher leader development.

Samuel J Polizzi1,2, Brandon Ofem3, William Coyle2

  • 1Department of Chemistry and Tennessee STEM Education Center, Middle Tennessee State University, Murfreesboro, TN 37130, USA.

Data in Brief
|July 24, 2019
PubMed
Summary
This summary is machine-generated.

This study used social network analysis to map how high school science teachers seek expertise, revealing connections across school, district, state, national, and international levels for improved teaching practices.

Keywords:
Professional developmentScience teacher educationSocial network analysisTeacher leadershipVisual network scales

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Area of Science:

  • Educational research
  • Social network analysis
  • Teacher professional development

Background:

  • Social network analysis (SNA) offers methods for collecting quantitative and qualitative data through surveys and discussions.
  • Understanding teacher networks is crucial for professional development and knowledge sharing in education.

Purpose of the Study:

  • To describe network data generated from a social network survey and discussion activity with high school science teachers.
  • To map the expertise-seeking networks of teachers within a leadership development program.
  • To provide data for further interpretation on visual network scales in teacher leadership.

Main Methods:

  • Social network surveys administered to high school science teachers in a leadership program.
  • Qualitative data collection through discussion activities and transcripts.
  • Network mapping disaggregated by geographic and administrative levels (school, district, state, nation, international).

Main Results:

  • Generated social network maps illustrating how teachers seek content and pedagogical expertise.
  • Collected transcripts of teacher discussions about their networks within educational settings.
  • Data categorized by various spheres of influence for seeking expertise.

Conclusions:

  • The study provides a rich dataset on teacher networks for expertise exchange.
  • This data can inform the design of professional development programs for teacher leaders.
  • The findings contribute to understanding social capital and knowledge mobilization in education.