Table · dataset · 2026
<p>Respondent demographic per discipline of study.</p>
Listed in figshare
<div><p>Postgraduate taught (PGT) students represent a rapidly growing yet under‑researched population in higher education, often characterised as the “forgotten sector”.
Description
This study examined pre-arrival confidence and importance ratings among 1332 first-year PGT students (68% response rate) across twelve academic disciplines at a UK university, considering discipline, gender, international student status, and socioeconomic background.
Using a validated Pre-Arrival Survey measuring learning, community, employability, and health/well-being domains, we employed confirmatory factor analysis, MANOVA, and ANCOVA to examine group differences. PGT students rated importance higher than confidence across all domains, though this gap was narrower than in undergraduate populations. Community confidence ranked lowest across 11 of 12 disciplines, highlighting persistent integration challenges.
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International students demonstrated significantly higher confidence and importance ratings across nearly all domains. Gender differences observed at undergraduate level were largely absent, with males showing higher scores only for two of the eight factors; community confidence and employability importance. Socioeconomic indicators showed no significant effects.
Computer science students reported highest confidence while healthcare/nursing sciences reported lowest scores. Findings suggest PGT students arrive with more calibrated expectations than undergraduates but require differentiated transition support, particularly for community building. The validated Pre-Arrival Survey provides institutions with a tool for understanding incoming PGT cohorts and adapting provision to support this increasingly diverse student population.</p></div>
Links
Where it is published
- DOI doi.org/10.1371/journal.pone.0358341.t001 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from figshare com
Topics
- From keywords
- Astronomy & Astrophysics · Chemistry · Computer Science & AI · Earth & Environmental Science · Ecology · Economics & Finance · Engineering · Higher education · Humanities · Life Sciences · Medicine & Health · Ocean & Atmospheric Science · Research, science and technology policy · Social Science
Provenance · 1 source records, 19 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| figshare | oai:figshare.com:article/33811334 | 12 d ago | JSON v1 |
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| concepts[field].anzsrc:group:3103 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Ecology'] |
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| concepts[field].local:field:computer-science-ai | mapping · figshare com | connector:figshare_com@1.0.0 | |
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| concepts[field].local:field:humanities | mapping · figshare com | connector:figshare_com@1.0.0 | |
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| concepts[field].local:field:medicine-health | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:social-science | mapping · figshare com | connector:figshare_com@1.0.0 | |
| description | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/description |
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| publication_date | source · figshare com | connector:figshare_com@1.0.0 | |
| title | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/title |