The importance of mathematics and statistics support in English universities: An analysis of institutionally-written regulatory documents

Tony Croft, Michael Grove, Duncan Lawson

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
45 Downloads (Pure)

Abstract

Increasing focus worldwide on accountability and quality assurance in universities has forced senior management to develop policies to address academic support at institutional-level. One such area is the mathematical and statistical skills that students in many disciplines need to succeed. In common with many countries, large numbers of students at English universities arrive inadequately prepared for their courses’ quantitative demands. University-wide mathematics and statistics support provision has been developed to mitigate this problem. We explore such provision from the perspective of institutional accountability and quality assurance, researching the extent to which such support is included in institutionally-written regulatory documents. The documents reveal that mathematics and statistics support is stated as contributing to retention, achievement, employability and widening participation. The paper closes with implications and recommendations drawn from the analysis of these documents and therefore is of relevance to those responsible for development and implementation of institutional teaching and learning strategies.
Original languageEnglish
Pages (from-to)240-257
Number of pages18
JournalJournal of Higher Education Policy and Management
Volume44
Issue number3
Early online date6 Jan 2022
DOIs
Publication statusPublished - 2022

Bibliographical note

© 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.

Keywords

  • mathematics and statistics support
  • academic support
  • institutional change
  • TEF
  • access and participation plans
  • access agreements

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