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Cited by 365

The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

The impact of ChatGPT on foreign language teaching and learning: opportunities in education and research

Open access
Hong, Wilson Cheong Hin·2023·Journal of Educational Technology and Innovation
DOI 10.61414/jeti.v5i1.103
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Abstract

The revolutionary online application ChatGPT has brought immense concerns to the education field. Foreign language teachers being some of those most reliant on writing assessments were among the most anxious, exacerbated by the extensive media coverage about the much-fantasised functionality of the chatbot. Hence, the article starts by elucidating the mechanisms, functions and common misconceptions about ChatGPT. Issues and risks associated with its usage are discussed, followed by an in-depth discussion of how the chatbot can be harnessed by learners and teachers. It is argued that ChatGPT offers major opportunities for teachers and education institutes to improve second/foreign language teaching, which similarly provided researchers with an array of research opportunities, especially towards a more personalised learning experience.

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Metadata

Authors
Hong, W. C. H.
Venue
Journal of Educational Technology and Innovation
Publisher
World Sports University
Published
2023-03-17
Volume
5
Issue
1
ISSN
2790-2110 (ISSN-L)
DOI
10.61414/jeti.v5i1.103
OpenAlex
W4398233424
Cited by
365
References
25
FWCI
85.77
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: The impact of ChatGPT on foreign language teaching and learning: opportunities in education and research. https://app.cochat.ai/papers/10.61414/jeti.v5i1.103
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Hong, W. C. H. (2023). The impact of ChatGPT on foreign language teaching and learning: opportunities in education and research. Journal of Educational Technology and Innovation. https://doi.org/10.61414/jeti.v5i1.103

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.