IMPROVING THE INDIVIDUAL APPROACH IN INCLUSIVE EDUCATION THROUGH ARTIFICIAL INTELLIGENCE AND MATHEMATICAL MODELING

Authors

  • Isomaddinov Usmonali Mamurjonovich Namangan Davlat davlat texnika universiteti

Keywords:

inclusive education, artificial intelligence, individual approach, mathematical modeling, neural networks, regression, optimization, adaptive system

Abstract

This article examines the issue of improving the individual approach in inclusive education using artificial intelligence and mathematical modeling. Through the integration of artificial intelligence algorithms, neural networks, regression and optimization models, an adaptive educational system tailored to the needs of students is developed. The results of the analysis revealed that the effectiveness of the system based on artificial intelligence is significantly higher than that of traditional education.

References

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Published

2025-05-22

Issue

Vol. 2 No. 4.2 (2025): Materials of the international scientific and practical conference on the topic of INTEGRATION OF ARTIFICIAL INTELLIGENCE IN PEDAGOGICAL EDUCATION: PROBLEMS AND SOLUTIONS. Andijan. April 23-25, 2025

Section

Articles

License

Copyright (c) 2025 Isomaddinov Usmonali Mamurjonovich

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

IMPROVING THE INDIVIDUAL APPROACH IN INCLUSIVE EDUCATION THROUGH ARTIFICIAL INTELLIGENCE AND MATHEMATICAL MODELING. (2025). Universal International Scientific Journal, 2(4.2), 511-515. https://universaljurnal.uz/index.php/jurnal/article/view/2148