THE DIDACTIC POTENTIAL OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN DEVELOPING LINGUODIDACTIC COMPETENCE OF FUTURE ENGLISH LANGUAGE TEACHERS
This article examines the didactic potential of artificial intelligence technologies in the process of developing linguodidactic competence among future English language teachers. In the context of modern digital education, an English language teacher is required not only to possess linguistic knowledge but also to select language materials methodologically appropriately, design learning tasks, develop assessment criteria, and use artificial intelligence tools purposefully and critically in the educational process. The article analyzes the potential of artificial intelligence technologies as a means of individualizing lesson content, creating authentic materials, differentiating tasks, developing analytical thinking, strengthening reflective activity, and forming professional-methodological decision-making skills in future teachers. In addition, the article substantiates the need to observe the principles of academic integrity, reliability of information, methodological appropriateness, and a humanistic approach when using artificial intelligence in education.
1. UNESCO. AI Competency Framework for Teachers. Paris: UNESCO, 2024.
2. Miao, F., & Holmes, W. Guidance for Generative AI in Education and Research. Paris: UNESCO, 2023.
3. European Commission. Ethical Guidelines on the Use of Artificial Intelligence and Data in Teaching and Learning for Educators. Luxembourg: Publications Office of the European Union, 2022.
4. Shulman, L. S. Those Who Understand: Knowledge Growth in Teaching. Educational Researcher, 1986, Vol. 15, No. 2, pp. 4–14.
5. Mishra, P., & Koehler, M. J. Technological Pedagogical Content Knowledge: A Framework for Teacher Knowledge. Teachers College Record, 2006, Vol. 108, No. 6, pp. 1017–1054.
6. Richards, J. C., & Rodgers, T. S. Approaches and Methods in Language Teaching. 3rd ed. Cambridge: Cambridge University Press, 2014.
7. Luckin, R. Machine Learning and Human Intelligence: The Future of Education for the 21st Century. London: UCL IOE Press, 2018.
8. Holmes, W., Bialik, M., & Fadel, C. Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Boston: Center for Curriculum Redesign, 2019.
9. Tomlinson, B. Materials Development in Language Teaching. 2nd ed. Cambridge: Cambridge University Press, 2011.
10. Vygotsky, L. S. Mind in Society: The Development of Higher Psychological Processes. Cambridge, MA: Harvard University Press, 1978.
11. Vygotsky, L. S. Thought and Language. Cambridge, MA: MIT Press, 1986.
12. Kolb, D. A. Experiential Learning: Experience as the Source of Learning and Development. Englewood Cliffs, NJ: Prentice Hall, 1984. 13. Kolb, D. A. Experiential Learning: Experience as the Source of Learning and Development. 2nd ed. Upper Saddle River, NJ: Pearson Education, 2015. 14. Schön, D. A. The Reflective Practitioner: How Professionals Think in Action. New York: Basic Books, 1983. 15. Schön, D. A. Educating the Reflective Practitioner. San Francisco: Jossey-Bass, 1987.
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