Use of statistical tools to assess the quality of education

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The article discusses the problems associated with the management of the quality of education, it is shown that quality management education is impossible without reliance on proven statistical tools. The authors analyze the characteristics of quality management education and show that an integral element of the management of this process is the correct setting goals, having the operational and prediction properties in the zone of potential devel- opment of the student. The authors identify and justify the need for the provision of a system of indicators that allow determining the degree of achievement of objectives in the educational system. They analyze the classification of indicators from the point of view of education quality assessment identified a normative and comparative nature of the assessment indicators, the role and place of statistics in the evaluation of the quality of the educational process. Based on the conducted research the authors propose the method of using this statistical tool, as Shewhart charts, and to assess the implementation of the educational process and/or results and decision on the need for corrective actions. The article gives the definition of Shewhart charts, and describes the purpose of this instrument, marked the boundaries of its application, the analysis of varieties of charts, with the main features and the estimated values, the technique of their construction. Particular value is an example of using Shewhart charts to assess the quality of student performance, which demonstrates the role of this statistical tool in deciding the stability of the educational process or the need for corrective actions, i.e. external intervention in the process. The article may be interesting for practitioners in the course of training courses on the subject and in the process of improving quality management systems in educational institutions.

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Education quality management, quality assessment, goal setting, statistical tools, shewhart charts

Короткий адрес: https://sciup.org/140209520

IDR: 140209520   |   DOI: 10.22412/1999-5644-10-4-4

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