ANALYZING STUDENTS' LEARNING ACTIVITIES BASED ON LEARNING ANALYTICS AND ARTIFICIAL INTELLIGENCE

Authors

  • Behruz Quvvatov Ulugbek ugli Asia International University, Faculty of Social Sciences and Engineering, Bukhara, Uzbekistan

Keywords:

Learning Analytics, artificial intelligence, educational technologies, data analytics, adaptive learning, student activity, digital education.

Abstract

This article explores the issues of analyzing students' learning activities using Learning Analytics and artificial intelligence technologies. It examines the possibilities of determining students' knowledge levels, engagement, and academic performance indicators through the collection, processing, and analysis of large-scale data within the educational process. Furthermore, the significance of AI-based systems in organizing personalized education is highlighted.

References

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Published

2026-05-21

How to Cite

Behruz Quvvatov Ulugbek ugli. (2026). ANALYZING STUDENTS’ LEARNING ACTIVITIES BASED ON LEARNING ANALYTICS AND ARTIFICIAL INTELLIGENCE. Ethiopian International Journal of Multidisciplinary Research, 13(5), 1502–1507. Retrieved from https://eijmr.org/index.php/eijmr/article/view/6909

Issue

Vol. 13 No. 5 (2026): Ethiopian International Journal of Multidisciplinary Research

Section

Articles