Z.O. Murodzoda, Sh.Yo. Kholov, N.I. Unusov

Annotation:

The paper examines big data analysis methods in the context of assessing the quality of education using the system of the Ministry of Education and Science of the Republic of Tajikistan as a case study. Taking into account the requirements of the current regulatory and legal framework, anextended mathematical model for the integrated assessment of education quality based on logistic regression is developed. The proposed model makes it possible to consider a set of resource-based, process- related, outcome-based, and managerial indicators formed at various levels of the educational system. An algorithm for the practical implementation of the model is proposed, including the stages of data collection, preprocessing, and analytical processing of large educational datasets. A structural scheme for organizing education quality monitoring is developed, oriented toward the use of intelligent data analysis methods. It is shown that the proposed approach enhances the validity of managerial decision-making and can serve as a methodological basis for the development of an automated information-analytical decision support system in the field of education.
Keywords: algorithm, program, data analysis, education quality, integrated assessment, mathematical model, state educational standard, education quality monitoring.