METHODS AND ALGORITHMS FOR ASSESSING THE DIGITAL INFRASTRUCTURE OF HIGHER EDUCATION INSTITUTIONS

Abstract

In the modern world, the use of digital technologies in the educational process is becoming increasingly relevant. In this regard, the assessment of the digital infrastructure of higher education institutions is extremely important. To do this, it is necessary to use appropriate methods and algorithms to assess the quality of the digital infrastructure and the effectiveness of its use in the educational process. In order to improve the quality of education and ensure maximum accessibility to digital infrastructure, it is important to evaluate its effectiveness and quality. The subject of research in the article is the methods and algorithms for assessing the digital infrastructure of higher education institutions. The aim of the work is to analyze the methods for assessing the digital infrastructure of higher education institutions and creating a universal approach for higher education based on the analyzed examples. The following tasks are solved in the article: analysis of scientific sources on methods and algorithms for assessing the level of digital infrastructure, determining the main methods used for similar tasks in Ukraine and the world, determining existing assessment criteria and indicators, developing unified criteria that take into account the specifics of each institution of higher education, developing a method assessments according to these criteria and selection of methods for assessing certain criteria, development of an algorithm for evaluating criteria and obtaining an overall assessment, analysis of the results obtained. To achieve the goals and solve the tasks set were used following methods: methods of scientific analysis, methods of analysis of hierarchies and expert assessments. The main conclusions of the article are the development of a universal method and algorithm for assessing the digital infrastructure of higher education institutions, which will effectively and more objectively determine the level of development of digital infrastructure in higher education institutions and compare different institutions. Conclusions: The application of the method will help in comparing higher education institutions, taking into account the specifics of each of them, and will provide a more objective assessment of the digital infrastructure in the institution.