735
Views
3
CrossRef citations to date
0
Altmetric
Research Article

Introducing participatory action research to vocational fashion education: theories, practices, and implications

, ORCID Icon, &
Pages 415-433 | Received 29 Jul 2019, Accepted 21 Apr 2020, Published online: 27 May 2020
 

ABSTRACT

This paper revisits the philosophical trajectory and practices in fashion education. It examines to what extent participatory action research (PAR) can contribute to the advancement of vocational education by emancipating practice-based skills and knowledge co-created by students, faculty members, and market practitioners. While the fashion market is dynamically reshaping today’s fashion pedagogy by imparting new skills and abilities to students, this investigation aims to highlight the limitations of the Bauhaus tradition as a top-down approach aimed at continually producing work-ready graduates for junior positions. Drawing upon the findings yielded by our experimental project fashionthnography.com, the analyses presented in this paper elucidate to what extent PAR can meet the intended goal of equipping the students with a higher level of working capabilities and creativity, as well as greater cultural appreciation. This study contributes to the expansion of vocational education and training, as its findings indicate that we need to embrace practice-based knowledge co-creation for long-term success in both industry and academia.

Disclosure statement

No potential conflict of interest was reported by the authors.

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 337.00 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.