“Corona-Trigger”: Optimization Possibilities of the Teaching Algorithm in Higher Education Institutions

The epidemiological situation in the world in the spring of 2020 made the educational environment change overnight. Due to the lack of an adaptation period and time for the development of methodological recommendations, the abrupt transition to online education once again indicated the need to optimize the teaching algorithm in higher school, integrating traditional and distance forms of education. The purpose of this study is to describe the optimization possibilities of the teaching algorithm in higher education institutions in a changing education ecosystem, as well as to analyze some of the problems lurking in online education. The conducted survey of the control group made it possible to identify several problems that the participants of the educational process have faced when switching to online education: physical and psychological discomfort, lack of socialization, technical problems. The Corona-Trigger accelerated the understanding of the need for a fast revision of the teaching algorithm in higher education institutions, taking into account the technologies of distance education.