Статьи

DIDACTIC MECHANISMS OF ADAPTIVE LEARNING BASED ON ARTIFICIAL INTELLIGENCE IN THE EDUCATIONAL PROCESS

Том 5 № 21 (2026): Инновационные исследования в современном мире 18-20

DOI: 10.5281/zenodo.20812071 2026-06-22 Статьи Open Access

Авторы

  • Radjapova Feruza Abdullayevna Dean, Faculty of Philology Urgench State Pedagogical Institute

Аннотация

This article analyzes the didactic mechanisms for organizing adaptive learning through the use of artificial intelligence (AI) technologies in the educational process. Adaptive learning enables the formation of educational content tailored to learners’ individual characteristics, knowledge levels, and learning pace. AI technologies facilitate automated analysis of educational materials, personalization of learning trajectories, and effective assessment of students’ knowledge. The paper also examines models of adaptive learning, their pedagogical significance, and their role in enhancing educational effectiveness.

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Библиографические ссылки

UNESCO. Artificial Intelligence in Education: Guidance for Policy-makers. Paris, 2021.

Luckin, R. Machine Learning and Human Intelligence: The Future of Education for the 21st Century. London: UCL Institute of Education Press, 2018.

Holmes, W., Bialik, M., Fadel, C. Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Boston: Center for Curriculum Redesign, 2019.

OECD. Digital Education Outlook: Pushing the Frontiers with Artificial Intelligence in Education. Paris, 2021.

Hattie, J. Visible Learning: A Synthesis of Over 800 Meta-Analyses Relating to Achievement. London: Routledge, 2009.

Bloom, B. Taxonomy of Educational Objectives: The Classification of Educational Goals. New York: Longman, 1956.

Опубликован

2026-06-22

Как цитировать

Radjapova , F. (2026). DIDACTIC MECHANISMS OF ADAPTIVE LEARNING BASED ON ARTIFICIAL INTELLIGENCE IN THE EDUCATIONAL PROCESS. Инновационные исследования в современном мире, 5(21), 18-20. https://doi.org/10.5281/zenodo.20812071
Innovative Academy RSC
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