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Using data-driven approaches to address systematic awarding gaps

Hubbard, Katharine

Authors

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Dr Katharine Hubbard K.Hubbard@hull.ac.uk
Reader in Biology Education, Director of Education School of Natural Sciences



Contributors

Dave S.P. Thomas
Editor

Jason Arday
Editor

Abstract

It is well known that universities award fewer “high class” degrees to students from traditionally underrepresented backgrounds. This issue has been recognised for years, but progress on closing these awarding gaps has been slow. As universities are increasingly driven by quantitative metrics and league tables, in this chapter Hubbard argues that institutional awarding gaps should become a key performance metric in their own right. She discusses the merits of making live awarding gap data available at the disciplinary level, and the statistical limitations of such data, particularly when considering intersections of disadvantage. Hubbard also call on the sector to adopt awarding gap metrics in national league tables and quality assurance exercises, so that institutions can be transparently judged on their efforts to reduce educational inequality.

Citation

Hubbard, K. (2021). Using data-driven approaches to address systematic awarding gaps. In D. S. Thomas, & J. Arday (Eds.), Doing Equity and Diversity for Success in Higher Education : Redressing Structural Inequalities in the Academy (215-226). Cham: Palgrave Macmillan. https://doi.org/10.1007/978-3-030-65668-3_16

Acceptance Date Mar 21, 2021
Online Publication Date Jun 19, 2021
Publication Date 2021
Deposit Date Mar 22, 2021
Publicly Available Date Jun 20, 2023
Publisher Palgrave Macmillan
Pages 215-226
Series Title Palgrave Studies in Race, Inequality and Social Justice in Education
Series ISSN 2524-633X
Book Title Doing Equity and Diversity for Success in Higher Education : Redressing Structural Inequalities in the Academy
Chapter Number 16
ISBN 978-3-030-65667-6
DOI https://doi.org/10.1007/978-3-030-65668-3_16
Keywords Data; QuantCrit; Degree awarding gap; BME
Public URL https://hull-repository.worktribe.com/output/3743806
Publisher URL https://link.springer.com/chapter/10.1007/978-3-030-65668-3_16

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©2021 The authors. All rights reserved. No part of this publication may be reproduced without the written permission of the copyright holder






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