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ERIC Number: EJ1427905
Record Type: Journal
Publication Date: 2024
Pages: 11
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1356-2517
EISSN: EISSN-1470-1294
Available Date: N/A
Opening the Black Box of Degree Classification Algorithms: Towards a Research Agenda
Teaching in Higher Education, v29 n5 p1398-1408 2024
Higher education systems exhibit varying degrees of heterogeneity in approaches to undergraduate degree classification -- specifically for this Point of Departure: the wide variety of 'Degree Classification Algorithms' (DCAs) used to calculate students' final awards. To date, the impact of DCA variation remains an under-researched 'black box', and whilst isolated institutional case studies have drawn attention to some underlying tensions, we posit a research agenda that calls for further evidence -- from a sector, institutional, and student perspective. From a social justice perspective we argue that such variation has the potential to increase inequity of degree outcomes; increase scepticism from employers about degree classification; and impact student performance. This article draws on the UK as a country case study with significant institutional diversity in DCAs. The research findings can inform sector-wide and international research and policymaking in relation to DCA approaches.
Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Evaluative
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: United Kingdom
Grant or Contract Numbers: N/A
Author Affiliations: N/A