1,086
Views
1
CrossRef citations to date
0
Altmetric
Articles

Revitalising and enhancing sewing skills and expertise

ORCID Icon & ORCID Icon
Pages 65-75 | Received 13 Jul 2017, Accepted 15 May 2018, Published online: 25 May 2018
 

ABSTRACT

Critical skill gaps highlighted by UK professionals in the fashion industry and identified by Government bodies were evidenced in the classroom while observing fashion students. The issues include lacking an understanding of garment construction quality, technical knowledge and skills, and timescale boundaries. It was also observed that students lack the confidence to experiment with construction techniques. A study was initiated to revitalise and enhance sewing skill capability through a purposely designed resource tool. Secondary research and interview responses from industry personnel working closely with undergraduate students and graduate designers substantiated the preliminary observations. The resource tool samples were inspired by two UK archive collections enabling the inclusion of lesser-used complex construction techniques. The tool is described, its effectiveness discussed and future developments are given. When fully developed, the resource tool could also enable craft dressmakers to develop and enhance their skills and expertise, by introducing them to less-documented techniques.

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 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 353.00 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.