Zhao, X., Sbaffi, L. orcid.org/0000-0003-4920-893X and Cox, A. (2025) The digitisation of writing in higher education: exploring the use of Wordtune as an AI writing assistant. Electronics, 14 (6). 1194. ISSN 2079-9292
Abstract
Background: Accelerated by the advent of AI-powered writing assistants, writing, as a crucial aspect of higher education assessment and practice, has undergone rapid digitisation in recent decades. However, there is a paucity of empirical research on its use in the everyday practice of students and staff. This study explores the use of Wordtune, an AWCF tool, to determine its benefits and limits from a user perspective. Methods: The research was conducted through a large-scale survey of Wordtune users. Descriptive statistics were generated, exploratory and confirmatory factor analysis was performed, and open-ended questions were analysed using content analysis. Results: Wordtune users are typically confident English speakers and use it alongside other tools such as Grammarly and Google translate. Wordtune is perceived by users as offering low-order benefits in terms of rephrasing and writing more grammatically but also as having high-order benefits such as overcoming mental blocks and creating opportunities for language learning. Users acknowledged very few drawbacks to using Wordtune. Conclusions: Our paper concludes with pedagogic suggestions for educators to support the use of AI writing assistants for student language learning.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
Keywords: | AI-powered writing assistants; artificial intelligence; Wordtune; digital writing; higher education; writing skills |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 18 Mar 2025 16:56 |
Last Modified: | 18 Mar 2025 16:56 |
Status: | Published |
Publisher: | MDPI |
Refereed: | Yes |
Identification Number: | 10.3390/electronics14061194 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:224437 |