Identifying a research agenda for postgraduate taught education in the UK: lessons from a machine learning facilitated systematic scoping review

Macleod, Gale; Dozier, Marshall; Marvell, Rosa; Matthews-Smith, Gerri; Macleod, Malcolm R.; Liao, Jing

Abstract

This research aimed to describe and evaluate research on the Postgraduate Taught (PGT) sector in the UK from January 2008 to October 2019. The focus on PGT allowed a detailed analysis of an often overlooked part of the HE sector. Methodologically, the research is original in its use of an innovative machine learning approach to a systematic scoping review. The review scrutinised subject areas, topics studied and methodological approaches taken. Initial searches found 9,814 potentially relevant studies which were reduced to 693 for analysis. The machine learning approach was successful in reducing time without compromising accuracy. We conclude that this methodological approach is appropriate for similar reviews within education. Findings show a dominance of research into professional education programmes; a majority of research with PGT as the context rather than focus; a small number of comparative and large-scale studies; and substantial research categorised as ‘scholarship of teaching’. While further research is required to ascertain if the findings are transferable to other national contexts, this study provides a reproducible methodology and identifies areas for future research to examine.

Citation

Macleod, G., Dozier, M., Marvell, R., Matthews-Smith, G., Macleod, M. R., & Liao, J. (2024). Identifying a research agenda for postgraduate taught education in the UK: lessons from a machine learning facilitated systematic scoping review. Oxford Review of Education, 50(1), 95-112. https://doi.org/10.1080/03054985.2023.2203376

• Journal Article Type: Article
• Acceptance Date: Apr 14, 2023
• Online Publication Date: May 30, 2023
• Publication Date: 2024
• Deposit Date: May 30, 2023
• Publicly Available Date: May 31, 2023
• Journal: Oxford Review of Education (CORE)
• Print ISSN: 0305-4985
• Electronic ISSN: 1465-3915
• Publisher: Routledge
• Peer Reviewed: Peer Reviewed
• Volume: 50
• Issue: 1
• Pages: 95-112
• DOI: https://doi.org/10.1080/03054985.2023.2203376
• Keywords: Postgraduate taught, Master’s, systematic review, machine learning
• Public URL: http://researchrepository.napier.ac.uk/Output/3070174