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UDC 519.87

COMPUTER SUPPORT OF MANAGERIAL DECISION-MAKING FOR REGIONAL LEVEL EDUCATIONAL SYSTEMS

O. N. Romashkova, Dr. Sc. (Tech.), professor, Head of the Department of Applied Informatics, Moscow State Pedagogical University, Moscow, Russia; This email address is being protected from spambots. You need JavaScript enabled to view it.;
R. S. Lomovtsev, master's degree student of the Moscow City University, Moscow, Russia; feedback. This email address is being protected from spambots. You need JavaScript enabled to view it.
L. A. Ponomareva, Ph.D. (Phys. and Math.), associate professor of the Applied Informatics Department at the Moscow City University, Moscow, Russia; This email address is being protected from spambots. You need JavaScript enabled to view it.

The aim of the work is to create tools for computer support to assist with management decision-making in a regional educational system. The authors studied the information processes in a regional educational system in order to develop an effective decision management system with the help of the developed information system of decision support (ISPR). The architecture of ISPR, which consists of four blocks, is described. The paper describes only two blocks: data and process analysis and visualization block. These units can function as stand-alone modules and can be connected to another information system. To assess the rating of educational organization (EO) the algorithm of neural networks was used. With its help, the classification of EO was carried out. With the help of algorithms of intellectual data processing, the list of indicators of schools ' activity was analyzed and the most significant indicators were selected for the rating like examination marks on the subjects and average points received in Unified state exam. Special kinds of algorithms were adopted and used because of the unusual nature of the data, which was described in the paper. Specific results of calculations are given. Examples of decision management are illustrated. The forecast for the school was made, and a suggestion on which indicators should be changed to increase the rating was proposed. All calculations are accompanied by graphs, which are created with the visualization module of ISPR.

Key words: management decisions, information system of decision support, intelligent data processing, neural network, rating of educational organization

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