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Cited by 423

The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.

Application of generative artificial intelligence (GenAI) in language teaching and learning: A scoping literature review

Open access
Law, Locky·2024·Computers and Education Open

Abstract

This scoping literature review examines the application of Generative Artificial Intelligence (GenAI), a disruptive technology, in language teaching and learning. Since its launch in November 2022, GenAI has captured global attention with OpenAI's ChatGPT, powered by the generative pre-trained transformer-3 (GPT-3) large-language model. The emergence of GenAI holds immense implications across various domains, including language education. This review aims to provide an overview of the current state of research and identify research gaps and future directions in this emerging field. The review follows the PRISMA-ScR guidelines and includes eligible publications published between 2017 and July 2023. Four electronic databases were searched and 41 of the 224 initial papers were eventually selected for review. The findings reveal key terms related to GenAI in language education, the most researched language study and education levels, areas of research, attitudes towards GenAI, and the potential benefits and challenges of GenAI application. The review highlights several research gaps, including the need for more empirical studies to assess the effectiveness and impact of GenAI tools, discussion of ethical considerations, targeted interventions for specific language skills, and stakeholder engagement in responsible integration. Educators are encouraged to incorporate GenAI tools into their teaching practices while remaining vigilant about potential risks. Continuous professional development for educators is crucial to ensure informed decision-making and effective integration of GenAI tools. This scoping review contributes to the existing knowledge on the use of GenAI in language education and informs future research and practice in this disruptive and rapidly evolving field.

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Show all 40 references

Research works printed but not linked: 8

  1. Chen, 2022, Two Decades of Artificial Intelligence in Education, Educ Technol Soc, 25, 28
  2. Hwang, 2023, Editorial position paper: exploring the potential of generative artificial intelligence in education: applications, challenges, and future research directions, Educ Technol Soc, 26
  3. Jourdan, L., Boudin, F., Dufour, R., & Hernandez, N. (2023). Text revision in scientific writing assistance: an overview. arxiv.org.
  4. Koraishi, 2023, Teaching English in the age of AI: embracing ChatGPT to optimize EFL materials and assessment, Lang Educ Technol (LET J), 3, 55
  5. Law, 2023, Impact and implications of AI in education for every (language) teacher [Review of the journal article the future of AI and education: some cautionary, by Selwyn, N.], STILE - Scholarsh Teach Lang Educ, 1, 9, 10.59936/stile.v1i1.77 · doi:10.59936/stile.v1i1.77
  6. Li, 2023, Exploring the multilingual applications of ChatGPT: uncovering language learning affordances in youtuber videos, Int J Comput Assist Lang Learn Teach, 13
  7. Muñoz, 2023, Examining the Impacts of ChatGPT on student motivation and engagement, Soc Space J, 23
  8. Vera, 2023, Integrating artificial intelligence (AI) in the EFL classroom: benefits and challenges, Transf Electron J, 4

Cited by

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Metadata

Authors
Law, L.
Venue
Computers and Education Open
Publisher
Elsevier BV
Published
2024-06
Volume
6
Pages
100174
ISSN
2666-5573 (ISSN-L)
OpenAlex
W4393252719
Cited by
423
References
40
FWCI
161.87
Type
journal article
Language
en
Open access
gold
Licence

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CoChat. (2026). Citation check: Application of generative artificial intelligence (GenAI) in language teaching and learning: A scoping literature review. https://app.cochat.ai/papers/10.1016/j.caeo.2024.100174
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Law, L. (2024). Application of generative artificial intelligence (GenAI) in language teaching and learning: A scoping literature review. Computers and Education Open. https://doi.org/10.1016/j.caeo.2024.100174

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

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