Cox, A. orcid.org/0000-0002-2587-245X, Cameron, D., Checco, A. et al. (3 more authors) (2023) Criteria of quality in fiction-based research to promote debate about the use of AI and robots in Higher Education. Higher Education Research and Development, 42 (3). pp. 559-573. ISSN 0729-4360
Abstract
AI and robots have the potential to transform Higher Education (HE) but pose many ethical and implementation challenges. To ensure the widest debate about our choices for the future of HE with these technologies, engaging ways to present the issues are needed and this article is part of an exploration of the potential of fictional narratives to do so. Specifically, the purpose of this article is to enrich understanding of quality in such fiction-based research, through analysing responses to a collection of fictions from a group of expert readers. A starting point was synthesising previous attempts to articulate notions of quality. The discussions with the readers suggest that the key qualities were substantive contribution, credibility, resonance, ambiguity and aesthetics; rich rigour and sincerity need also to be considered. Fiction has a place in educational research because it enables one to imagine vividly different possibilities, presents issues in an open-ended way, and is engaging.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. |
Keywords: | artificial intelligence; robots; fiction; research quality |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield) |
Funding Information: | Funder Grant number Society for Research into Higher Education SA1906 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 13 Apr 2022 14:06 |
Last Modified: | 04 Apr 2023 10:08 |
Status: | Published |
Publisher: | Taylor & Francis |
Refereed: | Yes |
Identification Number: | 10.1080/07294360.2022.2087603 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:185413 |