Zhao, X. orcid.org/0000-0002-8968-6912 (2023) Leveraging artificial intelligence (AI) technology for English writing: introducing Wordtune as a digital writing assistant for EFL writers. RELC Journal, 54 (3). pp. 890-894. ISSN 0033-6882
Abstract
Artificial intelligence (AI) technologies have contributed significantly to the advancement of society. In recent years, AI-powered writing assistants have received increasing attention among English as a Foreign Language (EFL) communities. However, most of these digital writing tools focus on the revision and editing stages. Few digital tools are developed to help users during the writing process, such as assisting users in formulating or translating their ideas into writing. Wordtune is an AI-powered writing assistant that understands the writer’s ideas and suggests options for rewriting them using different tones (e.g. casual, formal) and lengths (e.g. shorten, expand). This tool can help EFL writers maintain a continuous flow and learn useful ways to express their ideas in written English. This tech review aims to provide an overview of Wordtune and its affordance in English writing for EFL writers, while also addressing the benefits and limitations of this technology.
Metadata
Item Type: | Article |
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Authors/Creators: | |
Copyright, Publisher and Additional Information: | © The Author(s) 2022. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
Keywords: | Artificial intelligence; AI-powered writing tools; English as a Foreign Language learners; English writing |
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: | 03 Nov 2022 10:03 |
Last Modified: | 10 Jul 2024 10:46 |
Status: | Published |
Publisher: | SAGE Publications |
Refereed: | Yes |
Identification Number: | 10.1177/00336882221094089 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:192748 |