ARTIFICIAL INTELLIGENCE IN EDUCATION: INTERLEVEL FUNCTIONAL AND PEDAGOGICAL RELATIONS

Authors

  • Karimova Barno Azizovna Docent of the University of Public Safety of the Republic of Uzbekistan, PhD in Philology

DOI:

https://doi.org/10.66345/stj.v4i2.5135

Keywords:

artificial intelligence, adaptive learning, educational technology, personalized instruction, digital pedagogy, learning analytics, intereducational integration.

Abstract

In order to study the implementation of artificial intelligence in education systems, it is necessary to analyze its functional manifestations across different educational levels and pedagogical dimensions. Through interlevel analysis, it becomes possible to distinguish specific methodological, cognitive, and technological categories that shape the learning process. The identification of
intraeducational integration (within a single educational system) and intereducational integration (across different national and digital systems) represents the result of our analytical observations. This article consistently examines the role of artificial intelligence at methodological, technological, and cognitive levels, highlighting its adaptive, analytical, and interactive capacities in modern education.

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References

1. McCarthy J. Artificial Intelligence: A Modern Approach. – New York, 2007.

2. Papert S. Mindstorms: Children, Computers, and Powerful Ideas. – New York, 1980.

3. Holmes W., Bialik M., Fadel C. Artificial Intelligence in Education. – Boston, 2019.

4. Luckin R. Machine Learning and Human Intelligence. – London, 2018.

5. Alimova M.X., Xusanova S.B. Educational Technologies in Modern Pedagogy. – T., 2025.

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Published

2026-02-27

How to Cite

ARTIFICIAL INTELLIGENCE IN EDUCATION: INTERLEVEL FUNCTIONAL AND PEDAGOGICAL RELATIONS. (2026). SCIENCE TIME JOURNAL, 4(2), 679-683. https://doi.org/10.66345/stj.v4i2.5135
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