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Article
Looking at Our STEM Teacher Workforce: How to Model Self-Efficacy
Economic Development Quarterly (2021)
  • Brandon Ofem, University of Missouri-St. Louis
  • Samuel J. Polizzi, Kennesaw State University
  • Gregory T. Rushton
  • Michael Beeth
  • Brock Couch
  • Jessica Doering
  • Rebecca Konz
  • Margaret J. Mohr-Schroeder
  • Gillian Roehrig, University of Minnesota
  • Keith Sheppard
Abstract
There is currently a severe shortage of teachers in the U.S. workforce. The problem is especially acute among science, technology, engineering, and mathematics (STEM) teachers and exacerbated by high turnover among new teachers—those with less than 5 years of teaching experience. In this article, the authors investigate one piece of the puzzle. The authors model a social cognitive approach to understanding self-efficacy, a key precursor to job performance and retention. Their interactionist approach accounts for both demographic (i.e., gender and age) and relational variables (i.e., social networks). The authors test their ideas on a sample of 159 STEM teachers across five geographic regions in the United States. Their analysis reveals patterned differences in self-efficacy across gender that are contingent on the communities of practice in which the teachers are embedded. Together, their theory and findings highlight the value of taking a holistic, interactionist view in explaining STEM teacher self-efficacy.
Keywords
  • STEM teachers,
  • gender,
  • age,
  • social networks,
  • self-efficacy
Disciplines
Publication Date
2021
DOI
10.1177/0891242420973758
Citation Information
Brandon Ofem, Samuel J. Polizzi, Gregory T. Rushton, Michael Beeth, et al.. "Looking at Our STEM Teacher Workforce: How to Model Self-Efficacy" Economic Development Quarterly Vol. 35 Iss. 1 (2021)
Available at: http://works.bepress.com/brandon-ofem/18/