7,477
Views
51
CrossRef citations to date
0
Altmetric
Articles

The development and initial use of a survey of student ‘belongingness’, engagement and self-confidence in UK higher education

Pages 154-166 | Published online: 15 Dec 2014
 

Abstract

Students’ sense of ‘belongingness’ and their engagement in academic study have been identified as key contributors to student success. A short instrument that can identify changes over time in students’ sense of belonging to their institution, their academic engagement and their self-confidence has been developed and used in conjunction with the ‘What Works? Student Retention and Success Change Programme’ (supported by the Paul Hamlyn Foundation and the Higher Education Academy). This article outlines the instrument, its rationale (including its relationship with other survey instruments) and its technical characteristics, and presents analyses of the data. The practical utilisation of the survey is also discussed.

Acknowledgements

The work reported in this article has been supported by the Paul Hamlyn Foundation and the Higher Education Academy. Thanks are due to colleagues and students for their contribution to the pilot studies. Thanks are also due to the staff in the universities participating in the ‘What Works? Student Retention and Success Change Programme’, who have encouraged their students to respond to the survey – and, of course, to the many students who have been willing to complete the survey.

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 830.00 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.