Question and criterion method for assessing the quality of the organization’s digital educational environment

Abstract

It is of interest to create a technological, accessible and convenient method for evaluating multi-component and multi-dimensional educational systems, with the maximum share of automation and intellectualization of all related events. The purpose of the study is to substantiate the question and criterion method for assessing the quality of the digital educational environment of an organization based on mathematical methods of the theory of clustering and pattern recognition (using the example of monitoring the development of the digital educational environment of additional education practices for children). Methodology. The quality of educational systems or resources can be assessed using their inherent criteria, presented in the form of an information vector. The current values of these indicators determine the rating of a given system in a set of similar systems, and the dynamics of their changes over time shows the degree of development of each criterion sign. Monitoring sheets describing each system with an information vector represent a plurality of objects that can be clustered into certain classes. From a mathematical point of view, it is convenient to divide such systems into classes using a mining algorithm, and to take the metric of city blocks as a measure of the similarity of objects. Results. Monitoring of the organization's digital educational environment is carried out according to the functional characteristics of the environment based on the assessment of the organization's official website. According to the pyramid method, a question tree was developed on the functional components of the digital educational environment of additional education practices for children, according to which an information vector of the environment was formed, the values of which were determined by experts. Assessment of sites is carried out according to expert estimates in the automated system of competitive procedures “ASCO.” Conclusion. The proposed method allows monitoring the digital educational environment of an organization using mathematical methods of clustering theory and pattern recognition.