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 accessAbstract
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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Cites
PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation
Tricco, A. C., Lillie, E., Zarin, W., O'Brien, K. K., Colquhoun, H., Levac, D., Moher, D., Peters, M. D. J., Horsley, T., Weeks, L., et al. (2018) · Annals of Internal Medicine · doi:10.7326/m18-0850 · Cited by 43,565
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-019-0171-0 · Cited by 7,242
Google Effects on Memory: Cognitive Consequences of Having Information at Our Fingertips
Sparrow, B., Liu, J., & Wegner, D. M. (2011) · Science · doi:10.1126/science.1207745 · Cited by 1,762
ChatGPT for Language Teaching and Learning
Kohnke, L., Moorhouse, B. L., & Zou, D. (2023) · RELC Journal · doi:10.1177/00336882231162868 · Cited by 1,371
Chiu, T. K. F. (2024) · Interactive Learning Environments · doi:10.1080/10494820.2023.2253861 · Cited by 852
Perkins, M. (2023) · Journal of University Teaching and Learning Practice · doi:10.53761/1.20.02.07 · Cited by 839
Impact of ChatGPT on learners in a L2 writing practicum: an exploratory investigation
Yan, D. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-11742-4 · Cited by 713
Jeon, J., & Lee, S. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-11834-1 · Cited by 696
Artificial intelligence literacy in higher and adult education: A scoping literature review
Laupichler, M. C., Aster, A., Schirch, J., & Raupach, T. (2022) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2022.100101 · Cited by 658
Exploring the potential of using an AI language model for automated essay scoring
Mizumoto, A., & Eguchi, M. (2023) · Research Methods in Applied Linguistics · doi:10.1016/j.rmal.2023.100050 · Cited by 647
Research works printed but not linked: 8
- Chen, 2022, Two Decades of Artificial Intelligence in Education, Educ Technol Soc, 25, 28
- Hwang, 2023, Editorial position paper: exploring the potential of generative artificial intelligence in education: applications, challenges, and future research directions, Educ Technol Soc, 26
- Jourdan, L., Boudin, F., Dufour, R., & Hernandez, N. (2023). Text revision in scientific writing assistance: an overview. arxiv.org.
- Koraishi, 2023, Teaching English in the age of AI: embracing ChatGPT to optimize EFL materials and assessment, Lang Educ Technol (LET J), 3, 55
- 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
- Li, 2023, Exploring the multilingual applications of ChatGPT: uncovering language learning affordances in youtuber videos, Int J Comput Assist Lang Learn Teach, 13
- Muñoz, 2023, Examining the Impacts of ChatGPT on student motivation and engagement, Soc Space J, 23
- Vera, 2023, Integrating artificial intelligence (AI) in the EFL classroom: benefits and challenges, Transf Electron J, 4
Cited by
Does ChatGPT enhance student learning? A systematic review and meta-analysis of experimental studies
Deng, R., Jiang, M., Yu, X., Lu, Y., & Liu, S. (2025) · Computers & Education · doi:10.1016/j.compedu.2024.105224 · Cited by 531
Huang, F., Wang, Y., & Zhang, H. (2024) · European Journal of Education · doi:10.1111/ejed.12770 · Cited by 243
Mah, D.-K., & Groß, N. (2024) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-024-00490-1 · Cited by 218
“The research landscape concerning AI-based tools for teaching and learning in higher education has seen sustained exploration over the years (Chan & Hu, 2023; Crompton & Burke, 2023; Joksimovic et al., 2023; Law, 2024; Zawacki-Richter et al., 2024).”
Generative AI (GenAI) in the language classroom: A systematic review
Lee, S., Choe, H., Zou, D., & Jeon, J. (2026) · Interactive Learning Environments · doi:10.1080/10494820.2025.2498537 · Cited by 158
Sun, L., & Zhou, L. (2024) · Journal of Educational Computing Research · doi:10.1177/07356331241277937 · Cited by 129
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
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- creativecommons.org/licenses/by/4.0/ (vor)
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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
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.