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Cybernetics and programming
Reference:

Substantiation of invariant solutions based on educational qualimetry and theory of neural networks in evaluating the quality of educational institutions

Fatkhullin Robert Rifovich

PhD in Technical Science

graduate student, Department of Applied Mathematics and Informatics, Mari State University

424000, Russia, respublika Marii El, g. Ioshkar-Ola, pl. Lenina, 1

robertooo1990@gmail.com
Другие публикации этого автора
 

 

DOI:

10.7256/2306-4196.2014.6.13477

Review date:

02-11-2014


Publish date:

16-11-2014


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.


Keywords: education quality evaluation, multiobjective optimization, convolution of criteria, neural networks, educational qualimetry, quality indicators, matlab, comprehensive assessment of the quality, weighting indices, quality of activities
This article written in Russian. You can find full text of article in Russian here .

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