THE ROLE OF ARTIFICIAL INTELLIGENCE IN EDUCATION: METHODOLOGICAL FOUNDATIONS AND PEDAGOGICAL IMPLICATIONS

Authors

  • Khojaniyazova Bazargul Mambetovna Associate Professor of the Department of Languages Tashkent University of Applied Sciences Author

Keywords:

Artificial intelligence, educational technology, teaching methodology, adaptive learning, digital pedagogy, personalized instruction, learning outcomes.

Abstract

The rapid development of artificial intelligence (AI) has significantly influenced modern educational systems, transforming traditional pedagogical approaches and instructional methodologies. This study investigates the methodological foundations of AI integration in education and examines its impact on learning outcomes, student engagement, and teaching efficiency. Using a mixed-method research design, the study analyzes quantitative performance data and qualitative feedback from students and instructors involved in AI-assisted instruction. The findings demonstrate that AI-based adaptive learning systems improve academic performance, increase learner motivation, and optimize instructional processes. However, ethical considerations and pedagogical balance remain critical factors for sustainable implementation. The study concludes that AI serves as a complementary pedagogical tool that enhances educational effectiveness when aligned with sound methodological principles.

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Published

2026-02-21

Issue

Section

Articles

How to Cite

THE ROLE OF ARTIFICIAL INTELLIGENCE IN EDUCATION: METHODOLOGICAL FOUNDATIONS AND PEDAGOGICAL IMPLICATIONS. (2026). Modern American Journal of Linguistics, Education, and Pedagogy, 2(2), 74-79. https://usajournals.org/index.php/6/article/view/1970