TEACHING ENGLISH THROUGH GENERATIVE ARTIFICIAL INTELLIGENCE: AN ANALYSIS OF INNOVATIVE INTERNATIONAL APPROACHES IN HIGHER EDUCATION
This article analyzes advanced international practices of integrating generative artificial intelligence technologies into English
language teaching in higher education. The study highlights innovative approaches aimed at personalized learning, development
of communicative competence, and digital transformation of the educational process. Furthermore, the pedagogical effectiveness
of generative AI tools in foreign higher education systems and the prospects for adapting these practices to national educational
contexts are substantiated.
1. Krashen, S. D. (1985). The Input Hypothesis: Issues and Implications. London: Longman, pp. 32–45.
2. Vygotsky, L. S. (1978). Mind in Society: The Development of Higher Psychological Processes. Cambridge, MA: Harvard
University Press, pp. 79–91.
3. Bloom, B. S. (1956). Taxonomy of Educational Objectives: The Classification of Educational Goals. New York: Longman,
pp. 18–34.
4. Siemens, G. (2005). Connectivism: A Learning Theory for the Digital Age. International Journal of Instructional Technology
and Distance Learning, 2(1), 3–10, pp. 5–8.
5. Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and
Learning. Boston: Center for Curriculum Redesign, pp. 64–78.
6. Luckin, R. (2018). Machine Learning and Human Intelligence: The Future of Education for the 21st Century. London: UCL
Institute of Education Press, pp. 101–116.
7. Ellis, R. (2003). Task-based Language Learning and Teaching. Oxford: Oxford University Press, pp. 27–41.
Copyright (c) 2026 «ACTA NUUz»

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.


.jpg)

1.png)






