The University of Southampton
×
Filter your search:
University of Southampton Institutional Repository

Survey on Generative AI use amongst UK doctoral candidates

Survey on Generative AI use amongst UK doctoral candidates
Survey on Generative AI use amongst UK doctoral candidates
A survey on the use of Generative Artificial Intelligence amongst UK postgraduate researchers. This survey was used to produce the results reported in the paper "A rather stupid but always available brainstorming partner': use and understanding of generative AI by UK postgraduate researchers" published in Innovations in Education and Teaching International.
postgraduate research, generative AI
University of Southampton
English, Ross
e2dade43-4f13-4533-b1a9-7501e1971d89
Nash, Becki
80b466f6-c138-4256-96d7-57d812111b2f
Mackenzie, Heather
e1e524b1-b525-4da4-a7d3-d0bb359f4680
English, Ross
e2dade43-4f13-4533-b1a9-7501e1971d89
Nash, Becki
80b466f6-c138-4256-96d7-57d812111b2f
Mackenzie, Heather
e1e524b1-b525-4da4-a7d3-d0bb359f4680

English, Ross, Nash, Becki and Mackenzie, Heather (2024) Survey on Generative AI use amongst UK doctoral candidates. University of Southampton doi:10.5258/SOTON/D3304 [Dataset]

Record type: Dataset

Abstract

A survey on the use of Generative Artificial Intelligence amongst UK postgraduate researchers. This survey was used to produce the results reported in the paper "A rather stupid but always available brainstorming partner': use and understanding of generative AI by UK postgraduate researchers" published in Innovations in Education and Teaching International.

Text
Gen_AI_UK_PGRs_survey.docx - Text
Available under License Creative Commons Attribution Non-commercial.
Download (25kB)
Spreadsheet
Quantitative_data.xlsx - Dataset
Available under License Creative Commons Attribution Non-commercial.
Download (14kB)
Text
readme.txt - Text
Available under License Creative Commons Attribution Non-commercial.
Download (830B)

More information

Published date: 22 November 2024
Keywords: postgraduate research, generative AI

Identifiers

Local EPrints ID: 495784
URI: http://eprints.soton.ac.uk/id/eprint/495784
DOI: doi:10.5258/SOTON/D3304
PURE UUID: f9ae519f-537c-4fd0-b477-75fdf4fa3970
ORCID for Ross English: ORCID iD orcid.org/0000-0001-9056-8158
ORCID for Becki Nash: ORCID iD orcid.org/0009-0000-1819-1114
ORCID for Heather Mackenzie: ORCID iD orcid.org/0000-0002-5241-0007

Catalogue record

Date deposited: 22 Nov 2024 17:42
Last modified: 27 Nov 2024 03:05

Export record

Altmetrics

Contributors

Creator: Ross English ORCID iD
Creator: Becki Nash ORCID iD
Creator: Heather Mackenzie ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Library staff additional information
Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×