Abstract

The article is devoted to selecting the methods of finding the cause-effect relationships in simulating the system “quality education” and to determining the factors influencing the quality of education in the socioeconomic development of both the university and education stakeholders. The rationale for selecting the tools for studying cause-and-effect relationships in modelling the system is formulated. It is shown that for the system “quality of education” it is possible to use analysis tools that were previously inherent only in technical systems. An integrated approach to assessment using the Pareto method, Ishikawa method, cycle and Deming principles is proposed. Each stage of studying cause-and-effect relationships is considered; the relationship between the stages and the tools used is shown. The consistent application of these tools for the “quality of education” system has not yet been implemented, which determines the novelty of this work. As a result of implementing such a complex algorithm, the system approaches the external quality assessment in its optimal state with a clearly expressed optimization criterion and methods of achieving it.

Highlights

  • The system of quality assurance in education and assessment of its impact on the socioeconomic growth of the territory are an object for modelling causal relationships

  • The research of causal relationships in constructing the models of systems based on multifactorial influence is one of the most effective tools in ensuring quality and forecasting further development

  • The study of causal relationships involves the use of reliable tools that have proven themselves as theoretical and as “solvers” of practical cases

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Summary

Introduction

The system of quality assurance in education and assessment of its impact on the socioeconomic growth of the territory are an object for modelling causal relationships. The research of causal relationships in constructing the models of systems based on multifactorial influence is one of the most effective tools in ensuring quality and forecasting further development.

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