Science and Mathematics Teacher Retention: A Collective Analysis and Comparison Between Master Teachers and Other Teachers

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Teacher retention has been a continuous challenge in the U.S. In this paper, we compared 84 Master Teaching Fellows (MTFs) and 83 non-MTFs in their self-efficacy, leadership skills, school-work environment, diversity dispositions, and professional network size. Using multinomial logistic regression, we also explored if these factors related to their retention. Results indicate that MTFs: (1) have higher levels of self-efficacy and diversity dispositions, and larger leadership networks; and (2) are more likely to shift to leadership positions. Findings provide insights for developing teacher leadership programs.

Original languageEnglish (US)
Title of host publicationISLS Annual Meeting 2023
Subtitle of host publicationBuilding Knowledge and Sustaining our Community - 17th International Conference of the Learning Sciences, ICLS 2023, Proceedings
EditorsPaulo Blikstein, Jan Van Aalst, Rita Kizito, Karen Brennan
PublisherInternational Society of the Learning Sciences (ISLS)
Pages1801-1802
Number of pages2
ISBN (Electronic)9781737330677
StatePublished - 2023
Event17th International Conference of the Learning Sciences, ICLS 2023 - Montreal, Canada
Duration: Jun 10 2023Jun 15 2023

Publication series

NameProceedings of International Conference of the Learning Sciences, ICLS
ISSN (Print)1814-9316

Conference

Conference17th International Conference of the Learning Sciences, ICLS 2023
Country/TerritoryCanada
CityMontreal
Period6/10/236/15/23

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Education

Fingerprint

Dive into the research topics of 'Science and Mathematics Teacher Retention: A Collective Analysis and Comparison Between Master Teachers and Other Teachers'. Together they form a unique fingerprint.

Cite this