Talk · International Conference on Information Science and Communications Technologies · December 26, 2025
Development and Research of an Intelligent Adaptive Neural Network System for Distance Learning based on Artificial Intelligence Technologies
Umurzakova Dilnoza Maxamadjanovna, Khasanova Madina Utkir Kizi, Qadamova Zulayho Erkinjon Qizi
Abstract
This article presents the development and experimental verification of an intelligent adaptive neural network system for distance learning based on artificial intelligence technologies. The proposed system combines modern methods of deep learning, natural language processing and reinforcement learning to provide a personalized educational process. A new four-level architecture has been implemented, including intelligent student diagnostics, dynamic content personalization, predictive learning trajectory adaptation, and intelligent feedback assessment. The results obtained confirm the effectiveness of the intelligent adaptive approach in overcoming the limitations of traditional distance learning systems and demonstrate significant potential for widespread implementation in educational systems.
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