Digital Twins and Basic Digital Student Profiles

Abstract

Trends in the implementation of digital twins (DTs) of real-world objects for the effective and safe management of complex sociotechnical systems and processes have been identified. Their composition and their share of the IT market are discussed. The features of the formation of data centers on hardware and software platforms from the most well-known companies in the IT industry are considered. It is proposed that DT technologies be used in creating conditions for a high-quality and mobile educational process that takes into account the individual trajectories of personal growth of students. The concept of a digital student profile (DSP) is presented, which is convenient for obtaining a quick quantitative assessment of personal skills and abilities, which is convenient when entering the labor market. In an educational environment, DSPs can be used to analyze the academic achievements, behavior and needs of students. Criteria for the formation of DSPs as a multidimensional quantitative assessment are proposed. Using the example of the course Information Technologies in Science and Education, a criteria-based convolutional assessment of the mastery of the material covered is constructed, characterizing the achievements of a particular student, allowing the use of methods and means of data mining. The creation and application of DTs and DPSs is an important step in the development of a new paradigm of education, with the help of which it is possible to significantly improve the quality of learning and provide participants in the educational process with individual support and assistance in achieving their unique life goals.