814
Views
1
CrossRef citations to date
0
Altmetric
Articles

Raising aspiration and widening participation: diversity, science and learning styles in context

&
Pages 23-33 | Published online: 16 Feb 2010
 

Abstract

A recent report by Aimhigher has suggested that an understanding of learning styles can have a positive impact in terms of widening participation. However, in recent years there has been something of a backlash, in the UK at least, against the use of learning styles questionnaires and inventories in the classroom. This article explores this issue in the context of a group of non‐traditional science students at a university in the north of England. The students who enrol lack the necessary qualifications, skills or experience to enrol as undergraduates and a science foundation year offers them a second chance, or a belated first chance, to access higher education (HE). The article considers reviews of widening participation and highlights some of the important issues about the use of learning styles in relation to new and diverse cohorts of students. In addition, it provides details of some of the activities and mechanisms that are provided so that students can make the most of their learning opportunities.

Acknowledgements

Thanks to the Teaching Quality Enhancement Fund (TQEF) at the University of Huddersfield (www.hud.ac.uk/tqef) for funding this research. The authors’ thanks also go to Steve Jones at Kirklees Metropolitan Council for kindly allowing the use of deprivation data and images.

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 223.00 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.