USING ARTIFICIAL INTELLIGENCE IN TEACHING FOREIGN LANGUAGES | Zenodo Skip to main Communities My dashboard Log in Sign up Published April 22, 2026 | Version v1 Dataset Open USING ARTIFICIAL INTELLIGENCE IN TEACHING FOREIGN LANGUAGES Authors/Creators Moydinova Shohida Ismailjanovna (Contact person) 1 Show affiliations 1.
(PhD) Andijan state institute of foreign languages Description The integration of artificial intelligence (AI) in education has significantly transformed the teaching and learning of foreign languages. This article explores the application of AI technologies in language instruction, focusing on their effectiveness, benefits, and challenges. Using a qualitative and analytical approach, the study examines current AI tools and their impact on learners’ engagement, personalization, and language proficiency. The findings indicate that AI enhances language acquisition through adaptive learning, real-time feedback, and increased accessibility, although certain limitations such as technological dependence and ethical concerns remain. Files 1770-1774.pdf Files (210.1 kB) Name Size Download all 1770-1774.pdf md5:ccc3288f13cac67e6a009e5c7171e2ca 210.1 kB Preview Download Additional details References Holmes Wayne, W., Bialik Maya, M., & Fadel Charles, C. Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign,2019. Zou Bin, B., Reinders Hayo, H., & Thomas Michael, M. Editorial: Using artificial intelligence technology for language learning. Frontiers in Psychology, 14, 2023. Memarian Bahar, B., & Doleck Tenzin, T. Teaching and learning artificial intelligence: Insights from the literature. Education and Information Technologies, 29, 2024. Peña-Acuña Beatriz, B., & Corga Fernandes Durão Rita, R. Learning English as a second language with artificial intelligence for prospective teachers: A systematic review. Frontiers in Education, 9, 2024. Mohebbi Ahmadreza, A. Enabling learner independence and self-regulation in language education using AI tools: A systematic review. Cogent Education, 2024. 49 Views 41 Downloads Show more details All versions This version Views Total views 49 49 Downloads Total downloads 41 41 Data volume Total data volume 8.6 MB 8.6 MB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Details DOI DOI Badge DOI 10.5281/zenodo.19697549 Markdown [](https://doi.org/10.5281/zenodo.19697549) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.19697549.svg :target: https://doi.org/10.5281/zenodo.19697549 HTML <a href="https://doi.org/10.5281/zenodo.19697549"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.19697549.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.19697549.svg Target URL https://doi.org/10.5281/zenodo.19697549 Resource type Dataset Publisher Zenodo Published in Ethiopian International Journal of Multidisciplinary Research, 13(04), 1770-1774, ISSN: 2349-5715, 2026. Rights License Creative Commons Attribution 4.0 International The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more Citation Export Technical metadata Created April 22, 2026 Modified April 22, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies