545
Views
6
CrossRef citations to date
0
Altmetric
Original Articles

Older Adults and Retired Teachers Address Teacher Retention in Urban Schools

, , &
Pages 263-280 | Published online: 09 Mar 2010
 

Abstract

Teacher attrition is a costly and persistent problem in urban schools. The objective of this study was to evaluate senior volunteers' potential impact for improving teacher retention. We conducted interviews with six principals, 20 teachers, and six retired educators participating in the Experience Corps Baltimore program. Findings indicate that older adult volunteers may enhance teacher retention by improving classroom environments and by positively influencing some factors related to teacher attrition, including effort and satisfaction, as well as reducing absenteeism. While all senior volunteers can provide benefits with adequate training, retired teachers may provide greater benefits in teacher retention.

This study was funded by a grant from NRTA: AARP's Educator Community. Thanks to Annette Norsman and Meghan Hookey for their concept support. We acknowledge the collaboration and participation of our community-based partner, The Greater Homewood Community Corporation (GHCC) and Sylvia McGill, their Director of Public Education, for her leadership on this project. Special thanks to the retired educators who participated in the workgroup and to Mr. Erwin Sekulow, former AARP Maryland State President and Experience Corps volunteer.

Notes

∗Factors Experience Corps Program hypothesized to influence.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 172.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.