THEORETICAL AND METHODOLOGICAL BASIS OF THE USE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN TEACHING FOREIGN LANGUAGES
DOI:
https://doi.org/10.54613/ku.v17i.1487Keywords:
artificial intelligence, foreign language teaching, adaptive learning, digital education, communicative competenceAbstract
This article analyzes the theoretical and methodological foundations of artificial intelligence (AI)–based approaches in foreign language teaching and their impact on educational effectiveness. In the context of modern digital education, AI technologies create opportunities to individualize the language learning process, organize adaptive learning, and provide immediate feedback. The results confirm that AI-based approaches have a positive effect on the development of learners’ communicative and linguistic competencies, as well as on the formation of independent learning skills. The article substantiates the necessity of methodologically grounded integration of artificial intelligence technologies into the process of foreign language teaching.
Foydalanilgan adabiyotlar:
1. Hymes, D. (1972). On communicative competence. In J. B. Pride & J. Holmes (Eds.), Sociolinguistics: Selected readings (pp. 269–293). Penguin.
2. Holmes, J. (2013). An introduction to sociolinguistics (4th ed.). Routledge.
3. Bassnett, S. (2014). Translation studies (4th ed.). Routledge.
4. Venuti, L. (2012). The translator’s invisibility: A history of translation (2nd ed.). Routledge.
5. Berman, A. (2000). Translation and the trials of the foreign. In L. Venuti (Ed.), The translation studies reader (pp. 284–297). Routledge.
6. Holmes, W. (2022). Artificial intelligence in education: The future of learning. Springer.
7. Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Boston: Center for Curriculum Redesign.
8. Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence Unleashed: An Argument for AI in Education. London: Pearson Education.
9. Godwin-Jones, R. (2018). Emerging technologies: AI and language learning. Language Learning & Technology, 22(3), 1–7.
10. Wang, S., & Vásquez, C. (2012). Web 2.0 and second language learning: What does the research tell us? CALICO Journal, 29(3), 412–430.
11. O’Dowd, R. (2018). From telecollaboration to virtual exchange: State-of-the-art and the role of UNICollaboration in moving forward. Journal of Virtual Exchange, 1, 1–23.
12. Holmes, W. (2022). Artificial intelligence in education: The future of learning. Springer.
https://link.springer.com/book/10.1007/978-3-030-85292-2
13. UNESCO. (2023). Guidance for generative AI in education and research. UNESCO Publishing.
https://unesdoc.unesco.org/ark:/48223/pf0000386693
14. OECD. (2023). OECD digital education outlook 2023: Towards an effective digital education ecosystem. OECD Publishing.
https://www.oecd.org/education/oecd-digital-education-outlook-2023.htm
15. Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274.
Downloads
Published
Iqtiboslik olish
Issue
Section
License
Copyright (c) 2026 QO‘QON UNIVERSITETI XABARNOMASI
This work is licensed under a Creative Commons Attribution 4.0 International License.