Changing the Quality of Education in a University Using Digital Technologies and Artificial Intelligence in the Context of the COVID-19 Pandemic

Abstract

the purpose of the article was to identify the nature of the impact of the pandemic on the quality of education at a university using distance learning and artificial intelligence. The research methodology was based on a complex of general scientific and special methods. The data obtained during the survey and in-depth interviews were summarized and analyzed in a focus group. Stable connections and tendencies in the change in the quality of teaching at the university are revealed. Traps for students are attributed to stable connections: lack of a valid system of control over the authorship of completed works; the possibility of unauthorized use of various electronic sources when responding; coronavirus quarantine leads to the erasure of students’ boundaries between study and life, personal space and social environment; an increase in students’ desire to have high grades in subjects with a decrease in interest in learning. Trends: increased workload on teachers and supporting (technical) personnel; growing dissatisfaction with distance learning; reduction of responsibility on the part of students for mastering knowledge in the course of distance learning.

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