DATA ANALYSIS IN THE DIGITAL EDUCATION SYSTEM BASED ON A SCIENTIFIC-PEDAGOGICAL APPROACH
DOI:
https://doi.org/10.56292/SJFSU/vol31_iss6/a29Keywords:
digital education, data analysis, learning analytics, educational data mining, pedagogical efficiency, artificial intelligence, educational quality.Abstract
This article analyzes the scientific and pedagogical nature of data analysis in the digital education system, its importance in managing the teaching process in a person-oriented way, and its role in improving the quality of Education. Within the framework of the article, the theoretical and methodological foundations of the implementation of data analysis in education, the advantages of the approaches to learning analytics and educational data mining, as well as the prospects for the development of digital analysis mechanisms in the higher education system of Uzbekistan are covered.
References
1. Siemens, G. (2013). Learning Analytics: The Emergence of a Discipline. American Behavioral Scientist, 57(10).
2. Ferguson, R. (2019). The State of Learning Analytics in Education. Journal of Learning Analytics, 6(2), 55–72.
3. Romero, C., & Ventura, S. (2020). Educational Data Mining and Learning Analytics: An Updated Survey. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery.
4. O‘zbekiston Respublikasi Prezidentining 2022-yil 28-yanvardagi PQ–60-son qarori — “Raqamli ta’lim tizimini rivojlantirish chora-tadbirlari to‘g‘risida”. O‘zbekiston Respublikasi Vazirlar Mahkamasining 2025-yil 13-sentabrdagi 578-son qarori. 5. Sharipov, B., & Raximov, M. (2024). Raqamli pedagogika va ta’limda ma’lumotlar tahlili. Toshkent: Fan nashriyoti. Tempelaar, D. (2021). Predictive Learning Analytics: The Role of Data in Adaptive Education. European Journal of Education Technology.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Scientific journal of the Fergana State University
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
How to Cite
