The article describes the digitalization stages of secondary and higher education in the Russian Federation and considers the main risks that may be caused by this trend. Among the health risks, there are disorders of the musculoskeletal system, impaired brain development, nervous strain and sleep problems, skin and respiratory diseases. The following communicative risks prevail: the risk of weakening motivation to learn, empathy, leadership skills. The main risks in the field of information security are the risks associated with violation of confidentiality, integrity, accessibility, authenticity and non-repudiation of participants in the educational process. These negative consequences may become relevant with the widespread introduction of a unified digital educational environment. Their relevance is evidenced by a survey of teachers of secondary, secondary specialized and higher educational institutions of Russia, which was conducted in October-November 2019. It is noted that each type of risk is relevant and can cause negative consequences for participants in the educational process. The work also identified the advantages of digitalization of education, but they do not allow minimizing the identified risks. Based on the risks identified in the study, the main recommendations were formulated, which, with proper implementation, can avoid the negative impact on participants in the educational process. Such recommendations include, among other things, the use of distance technology for the needs of continuing education and elective classes. If it is necessary to conduct distance learning lessons, use electronic platforms that meet the requirements of integrated security, as well as develop the technology of "safe school Internet".

The practical development of the algorithm for optimal control of mine ventilation was preceded by comprehensive studies of the specific features of mining sites in order to obtain their mathematical description. The latter includes the static and dynamic characteristics of objects, i.e. the relationship between input and output values. The purpose of the research: to develop methods and management tools aerogasdynamics processes on mining sites of coalmines. Research methods. The methodology based on the system approach; modern methods of mathematical statistics, decision theory; mathematical logic devices; factor analysis; mathematical modeling; set theory and system analysis. To determine the dynamic characteristics of aerogasodynamic processes, experimental methods were used, divided into active and passive. The active method consists in con-structing a dynamic model of airing objects by approximating the transition curve obtained because of special effects on the airing object with an analytical expression. Statistical dynamics methods were used to obtain dynamic characteristics based on normal operation data. The method of correlation analysis was used. Results of research: experimental verification showed that the maximum relative error of in determining the methane concentration from the static characteristic constructed using a modified technique does not exceed 10 %. The value of the error was determined by comparing the static characteristic obtained by the modified correlation analysis method with the exact static characteristic of the airing object. The latter were found with regard to dynamic properties of the object and additive structures aerogas dynamics processes. Conclusion. The method of correlation analysis can be used to determine the dependence of the methane flow rate on the airflow rate in the steady-state mode, i.e. the static characteristic q = f (Q) for the site and lava. To determine the static characteristics based on the data of normal operation with a limited observation interval (5-10 days), a modified method of correlation analysis is proposed. Small values of the relative error of indicate the possibility and feasibility of using a modified correlation analysis technique to construct a static characteristic of the airing object based on random processes of methane concentration and air flow obtained during normal operation of the site. The static characteristics C= f (Q) and q= f(Q) are widely used to determine the mathematical expectations of the methane concentration and flow rate of mining sites, in the modeling of ventilation facilities and in the analysis and synthesis of mine ventilation control systems.

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