Development of a neural network computer model for managing a major educational system
Abstract
Reshetnyak T. V., Isikova N. P. Development of a neural network computer model for managing a major educational system // Herald of the DSEA. – 2019. – № 2 (46). – P. 161–164.
The article analyzes the relevance of the task of increasing the efficiency of the functioning of a large educational system. The features of modernization of vocational education in Ukraine are considered. The problems of the existence of a modern school are determined. The possibility of using artificial neural networks as a tool for solving problems of improving the quality of management is considered. The importance of timely forecasting was emphasized to increase the efficiency of managerial decision-making and reduce the risks of unpleasant consequences. As an output for the constructed model, an indicator for assessing educational institutions is proposed. Based on the selected indicators of the criteria of quality, accessibility and efficiency of resource use and the final assessment of educational institutions, a neural network model was built that will allow us to predict the level of the final rating of the educational institution. A graph was built that demonstrates a graphical view of a neural network consisting of neurons and synoptic connections. To assess the degree of deviation of the predicted data from the accepted as a reference, a dispersion diagram was built. When visualizing the diagram, two lines were constructed corresponding to the permissible error level. The What-if visualizer was used, which allows you to change the input data and calculate the level of the final grade of schools using the developed model. The possibility of using the constructed neural network model to manage business processes in the educational system in modern socio-economic conditions of Ukraine’s development is emphasized
References
Resolution of the Cabinet of Ministers of Ukraine dated 21.02.2018 N 87 «On approval of the State standard of primary education». (in Ukrainian).
CMU Resolution No. 237 of 04.04.2018 “Some Issues of Subvention from the State Budget to Local Budgets for Provision of Quality, Modern and Affordable General Secondary Education“ New Ukrainian School ”. (in Ukrainian).
Borovikov V.P. Neural networks. Statistica Neural Networks. Methodology and technology of modern data analysis. Moscow: Hotline-Telecom. 2008, 392 p. (in Russian).
Khaikin Simon. Neural networks. Full course: per. with English. Moscow: LLC “I. D. Williams". 2006, 1104 p.
Kisil M.V. Evaluation of the quality of higher education. Higher education of Ukraine. 2005, 4 (14), pp. 82–87. (in Ukrainian).
The system of education in Ukraine. Current trends and prospects: Coll. of sciences. works and materials of conf. Kiev: Knowledge of Ukraine, 2001, 4, pp. 5-17. (in Ukrainian).
Borisova E. The quality of education and the place of higher education in society. Alma Mater. 2003, 11, pp. 27–33. (in Ukrainian).
Klimova G.P. Quality of higher education in the aspect of innovative development of the higher school of Ukraine. Conceptual foundations of becoming an innovative society in Ukraine: monograph. Yu. E. Atamanova, GP Klimova eds. Kharkiv: Pravo. 2015, 452 p. (in Ukrainian).
Stepenko G.V., Korsak K.V. Theoretical and practical aspects of quality assurance of vocational education in European countries. The state and problems of the development of vocational education in developed countries. T. 3. Kyiv: Inst. Of Systems. Research. 1999, pp. 52-54. (in Ukrainian).
Chmil A.I. Principles of formation of the quality management system of education in the conditions of reforming. Postgraduate education in Ukraine. 2006, 2 (9), pp. 75–76. (in Ukrainian).
