EVOLUTIONARY DEVELOPMENT STAGES OF TEACHING BASED ON ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN LANGUAGE EDUCATION AND THEIR TRANSFORMATIONAL FEATURES

Authors

  • Mukhitdinova Munirakhon Ravshanovna Doctor of Philosophy in Pedagogical Sciences (PhD), Associate professor, The University of World Economy and Diplomacy

Keywords:

Artificial intelligence, language education, AI-based teaching, digital pedagogy, adaptive learning, intelligent tutoring systems, generative AI, educational transformation, machine learning, language acquisition, educational technologies, personalized learning.

Abstract

This scientific article explores the evolutionary development stages of teaching based on artificial intelligence technologies in language education and analyzes their transformational characteristics in modern pedagogical systems. The study examines the historical progression of AI-assisted language teaching from early computer-assisted learning models to intelligent adaptive platforms and generative AI technologies. Particular attention is devoted to the influence of artificial intelligence on teaching methodologies, learner autonomy, assessment systems, and educational personalization. The research also highlights the advantages, challenges, and future prospects of AI integration in language learning environments. The findings demonstrate that artificial intelligence technologies significantly contribute to improving language acquisition efficiency, interactive communication, and digital pedagogical innovation.

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References

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Published

2026-05-08

How to Cite

Mukhitdinova Munirakhon Ravshanovna. (2026). EVOLUTIONARY DEVELOPMENT STAGES OF TEACHING BASED ON ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN LANGUAGE EDUCATION AND THEIR TRANSFORMATIONAL FEATURES. Journal of Applied Science and Social Science, 16(5), 281–287. Retrieved from https://www.internationaljournal.co.in/index.php/jasass/article/view/4313

Issue

Vol. 16 No. 5 (2026): Journal of Applied Science and Social Science

Section

Articles

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