JOURNAL ARTICLE

Assessing Efforts to Diversify Kentucky's K–12 Teacher Workforce: A Mixed-Methods Analysis of a Grow-Your-Own-Teacher Pathway.

  • Published In: Journal of Education Human Resources, 2023, v. 41, n. 4. P. 629 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Ingle, W. Kyle; Leach, Stephen M.; Lingo, Amy S. 3 of 3

Abstract

This article examines the Teaching and Learning Career Pathway (TLCP) program at the University of Louisville during the 2018–2019 school year, which aims to recruit a diverse and effective educator workforce by engaging high school students in dual-credit courses exploring teaching careers. Analysis of 77 participants from four Kentucky school districts revealed that the program predominantly attracted white female students already interested in teaching, with no African American students participating despite the involvement of Jefferson County Public Schools, the state's largest and most diverse district. Recruitment was largely informal and reliant on guidance counselors and teachers without explicit diversity targets or a clearly defined program theory, limiting the program's effectiveness in increasing teacher diversity. Participants generally viewed the program positively, appreciating its realistic teaching experiences and coursework, though some suggested instructional improvements and additional financial support. The study recommends longitudinal and qualitative research to better understand recruitment processes and participant outcomes, alongside clearer program goals and intentional recruitment strategies to enhance diversity and effectiveness in grow-your-own teacher initiatives.

Additional Information

  • Source:Journal of Education Human Resources. 2023/10, Vol. 41, Issue 4, p629
  • Document Type:Article
  • Subject Area:Geography and Cartography
  • Publication Date:2023
  • ISSN:2562-783X
  • DOI:10.3138/jehr-2021-0038
  • Accession Number:184509158
  • Copyright Statement:Copyright of Journal of Education Human Resources is the property of University of Toronto Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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