USE OF MACHINE LEARNING (ML) ALGORITHMS IN THE CREATION OF WEB EDUCATION PLATFORMS

Authors

  • Kenesbayev Adilbay Jenisbay ugli Nukus State Pedagogical Institute, Assistant Teacher Uzbekistan, Nukus

Keywords:

Web learning platforms, machine learning, automatic assessment, personalized learning, recommendation systems, natural language processing, artificial intelligence.

Abstract

This article analyzes the possibilities of using machine learning (ML) algorithms on web educational platforms. Unlike the traditional education system, modern web-education platforms provide an interactive and personalized learning experience. With the help of machine learning algorithms, adaptive learning materials can be recommended to students, assessment systems can be automated, and the effectiveness of communication can be increased through natural language processing technologies. The study extensively discusses the influence of ML algorithms on the learning process, their advantages and prospects. This article highlights the scientific foundations of implementing ML technologies on web educational platforms and defines future research directions.[1]

References

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Published

2025-02-17

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Section

Articles

How to Cite

USE OF MACHINE LEARNING (ML) ALGORITHMS IN THE CREATION OF WEB EDUCATION PLATFORMS. (2025). European Journal of Pedagogical Initiatives and Educational Practices, 3(2), 83-88. https://europeanscience.org/index.php/4/article/view/1227