1,436
Views
12
CrossRef citations to date
0
Altmetric
Articles

Can environmental education increase student-athletes’ environmental behaviors?

&
Pages 427-444 | Received 25 May 2016, Accepted 19 Sep 2016, Published online: 05 Oct 2016
 

Abstract

Environmental education was incorporated within a mentoring program (i.e. treatment group) for student-athletes at the University of Georgia. These student-athletes’ environmental attitudes, behavioral intent, knowledge, self-efficacy, self-regulatory learning, motivation, and learning strategies were assessed before and after their environmental education mentoring program. Results indicated student-athletes in the treatment group improved their self-reported environmental behaviors (t(32) = 2.34, p = 0.03) and self-efficacy (t(32) = 2.07, p = 0.04). However, future research should seek to determine how traits of student-athletes, such as their gender and chosen sport, may impact their level of environmental literacy and any possible impacts due to their mentors’ environmental values.

Acknowledgements

This research was conducted with support from the Rankin Smith Student-Athlete Academic Center at the University of Georgia. The authors wish to acknowledge other members of Gary T. Green’s lab and colleagues, including Kris. M. Irwin and Puneet Dwivedi, as well as Kevin Kirsche from the Office of Sustainability. This manuscript is based on data also used in the first author’s master’s thesis.

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 376.00 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.