INVESTIGATING THE EFFECT OF USING SOCIAL NETWORKS IN VIRTUAL EDUCATION

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Maryam Mansuri
Kyriakos Kouveliotis

Abstract

The social network is a social structure that consists of multiple nodes and these nodes can be individuals or organizations. These nodes, by one or more particular types of affiliation, are connected. In this paper we propose to examined the impact of social networks on learning technical and vocational college students. Assumptions based on communication, collaboration, sharing of resources, usefulness, access frequency, and flexible technologies were to help design. The population in this study consisted of all university students and technical professionals across the country. The number of students is over 175,000 people. The sample was a stratified random sample of 384 students were selected from 5 provinces and universities and the questionnaire required information through the web-based application Google Docs has been collected. To ensure reliability, a scale, Cronbach's alpha was used. Check validity well as the opinions of experts specialized in management science are used. To evaluate and analyze the data SPSS software is used. The results showed that the impact of social networking on virtual education with the help of factors: communication, collaboration, sharing of resources, usefulness, and flexible technologies direct and effective relationship and access frequency is not effective. Given the demographic characteristic variables: College, major, and GPA, these variables do not have a significant impact on the potential use of social networks to reach their educational goals. But variables such as gender, age, education, residence significantly impact the potential use of social networks to reach have educational goals, and these variables and can be a deterrent.

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How to Cite
Maryam Mansuri, & Kyriakos Kouveliotis. (2022). INVESTIGATING THE EFFECT OF USING SOCIAL NETWORKS IN VIRTUAL EDUCATION. JournalNX - A Multidisciplinary Peer Reviewed Journal, 8(1), 139–150. https://doi.org/10.17605/OSF.IO/9Q4D2