Effects of SARS-CoV-2 Pandemic on computer communication: delayed consequences and new behavioral standards

Author:

Kurebayeva Gulzhaukhar1ORCID,Mussatayeva Iyungul2ORCID,Kenesbayeva Shynar3ORCID,Kurebayeva Gulnara3ORCID,Karabulatova Irina S.4ORCID

Affiliation:

1. Alikhan Bokeikhan University, Semey, Kazakhstan.

2. Medical University, Semey, Kazakhstan.

3. Shakarim University, Semey, Kazakhstan.

4. Heilongjiang University, Harbin, China.

Abstract

The relevance of this study is revealed in a selection of online communication tools with the forced consequences of the spread of SARS-CoV-2 in the world, revealing the effectiveness of distance learning. Objective: to trace the transformation of the speech and behavioral standard depending on the internal understanding of their own knowledge about computer-mediated communication in comparison with traditional methods of communication; to evaluate the effectiveness of virtual communication based on the analysis of the needs of communicants in the process of online communication. The presented analysis of the form of communication demonstrates the processes of transformation of the speech and behavioral profile of communicants, which allows for additional research for a wide range of readers who practice online interaction on an observable basis. The material was data from an online questionnaire in which 261 respondents from Kazakhstan took part. The methodology is based on the psychological verbal-communicative method of anonymous online questioning using Google Forms via social networks. Results: online communicants identified the ZOOM platform as an important tool for online communication as an important factor in maintaining stable interaction in a professional environment, training and social communication. Effective computer communication poses the problem of compliance with the norms of online communication for successful interaction. Further study of qualitative and quantitative indicators of various online software tools is of interest for improving the linguistic modeling of educational online discourse with the prediction of the result.

Publisher

Amazonia Investiga

Subject

General Medicine

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