Analysis of Structural Shifts in Students' Behavioral Patterns during COVID-19

Human behavior is greatly affected by unexpected. In this study we focus on discerning structural shifts in students' psychological profiles, caused by COVID-19. It is done, using a survey, based on prominent effects from behavioral economics. An incorporation of Kohonen neural network allows to form several clusters in different periods of early and late pandemic states. Thus, several important shifts are accounted, such as: some groups show an adherence to familiar patterns and increased attachment to one's own property;some, at contrary, rapidly change, adapting to new circumstances. © 2021 IEEE.