Abstract: One of the leading trends in the development of education in the world now is to create a comprehensive system of education quality assessment. Today a very urgent task is to develop an automated information system providing collection, storage and structuring information on the education system and allowing promptly processing and interpreting information on the education system. The article presents a “Monitoring of the education system in the Republic of Mari El” automated information system tool with integrated mathematical apparatus. The authors suggest an integrated model of comprehensive evaluation of the quality of regional education activities, allowing calculating the complex indicator of the quality of educational organizations within the cluster. Usage f the tool to assess the quality of the region solves a number of tasks such as complex automation of the collection, processing, analysis and consolidation of indicators and indicators monitoring in the region of the education system. It also provides information support for the implementation of regional policy in the region in the field of education.

Abstract: One of the leading trends in the development of education in today's world is the creation of a system for comprehensive evaluation of the quality of education. The approaches to defining the quality of education are being actively developed, different aspects, indicators and parameters are being studied. Complex estimation the effectiveness of educational organizations is a multicriteria task that requires establishing the criteria and procedures for their evaluation for solving. The article analyzes the methods of multi-criteria optimization which may become components of a comprehensive assessment of the quality of educational activities. The author analyzes methods of multicriteria optimization and theory of neural networks. The article reviews multicriteria statistical models for a comprehensive evaluation of the quality of educational organizations. One of them is based on the educational qualimetry and involves the use of methods of convolution dominant and compensated indicators into an integrated indicator. Another model involves the use of neural networks and is based on the analytical data processing technology. With the implementation of the models considered such important quality indicators of a comprehensive assessment of the effectiveness of the quality of educational institutions as objectivity of evaluation, scalability, simplicity and ease of use, may increase. The results obtained can be widely used in a comprehensive assessment of the quality of educational institutions at various education levels.