The paper demonstrates the necessity of forming models and procedures of management decision making for improving the quality of higher education management. The authors examine monitoring results of some higher education institutions effectiveness, alumni employment, student surveys as information resources of such an approach. Structuring of these resources is carried out by means of the indexing theory. In order to implement this multistep procedure of management decision making the authors processed and analysed data through the integral estimation, built ranking arrays and clusterized the educational institutions. As well, the authors used neural simulation of depending the rates of quality education upon the factors characterizing conditions and resources. Optimization models and numeric procedures of decision making providing compensation of the revealed deviations from standard requirements are also developed.
The article presents the results of neural network modeling of the interrelation between the indicators of monitoring the effectiveness of the activity of universities and monitoring of the employment of graduates. The proposed models provide an opportunity to predict the impact of certain indicators of the effectiveness of the university on changing conditions for the success of graduates and identify indicators that have the strongest impact on the effectiveness of the employment process. Since the employment of graduates is the resultant indicator of the educational activity of the university and one of the key indicators of its relevance, the problem solved in the article seems to be relevant. In the course of the study it was possible to build neural network models with a sufficiently high degree of reliability. At the same time, it was found that 57 indicators of monitoring the performance of HEIs are significant for forecasting the proportion of graduates who have found employment during the calendar year following the year of release, and only 3 monitoring indicators are significant for forecasting the average amount of monthly payments to graduates in the first year after graduation from the university effectiveness. Based on the results of the study, a conclusion was made about the impact of modeling results on the relationship between the indicators of employment monitoring and performance monitoring on adjusting management decisions and improving the educational activity of the university
The article reviews models and procedures for processing and evaluation of monitoring results, including student participation, focused on intellectual support of administrative managerial decisions when developing of conditions and corresponding resources for the achievement of applicable regulatory requirements for the quality of university education. The first stage of processing is normalization of factors which characterize the conditions for quality education, indicators of graduate employability and student-oriented monitoring. The next stage is aimed at building the models of integral evaluation of factors and indicators. With the chosen structure of a model in the form of additive convolution, a parametric identification procedure based on the comparison of results of neural network modeling, visual information and subsequent expert evaluation is proposed. Evaluation of monitoring results consists of ranking and clustering of higher education institutions on the basis of integral assessments of education quality. The sequence of steps in the clustering procedure, which determines probabilistic estimates with the use of expert's views, according to which a great number of higher education institutions are divided into a given number of clusters, is described.
The economy of modern Russia is characterized by a number of problems: unemployment and the unemployed population, new requirements on the part of employers for vocational education, the discrepancy between the employers ’personnel needs and the professional capabilities of university graduates. All this is a consequence of the disagreement of the most important areas of modern society - the labor market and education. The increasing complexity of tasks requiring solutions in practice leads to an increase in employers' requirements for the level of training of graduates, which underlies the existing imbalance in the labor market according to qualitative criteria. The article presents the results of neural network modeling of the interaction of subjects of labor markets and educational services. It is shown that to assess the quality of training of specialists according to the criterion of meeting the needs of the regional labor market, indicators of the efficiency of higher education institutions can be used...