Research on the Influencing Factors and Management Countermeasures of College Students' Sense of Security under the Environment of Big Data-an Empirical Analysis based on the Event of COVID-19

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Abstract

Exposed in environment of big data, college students come easily into contact with massive data presentation. When crisis events occur, college students will be affected not only by crisis events but also by human psychological crisis. The greater psychological threat, faced by college students in the crisis environment, is the loss of sense of security. Through literature review, the hypotheses in crisis events are as followed: Crisis events, government and media response, university coping measures, group coping behavior are the four main factors that affect college students' sense of security in crisis events. The outbreak of COVID-19 in Wuhan, Hubei affecting all the people, all colleges and universities across the country delayed the opening time. Among the affected universities, take the University of Electronic Science and Technology as an example, 600 samples were randomly selected to collect data. Through the exploratory factor analysis test, the influence hypotheses are verified. Through the structural equation model test, the four kinds of factors can explain the loss of college students' sense of security in the crisis, but show differences in explanatory power. Based on the elements of college students' sense of security, this paper puts forward an further explanation on the action path of the four factors on the public sense of security. According to the conclusion, we come to the conclusion that improving the coping ability of colleges and universities, enhancing the sense of crisis determination and the efficiency of control are the key to improve college students' sense of security and ensure the effectiveness of crisis management in colleges and universities.

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APA

Xu, W., & Chen, C. (2020). Research on the Influencing Factors and Management Countermeasures of College Students’ Sense of Security under the Environment of Big Data-an Empirical Analysis based on the Event of COVID-19. In ACM International Conference Proceeding Series (pp. 21–25). Association for Computing Machinery. https://doi.org/10.1145/3396452.3396465

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