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Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
Published on: May 31, 2019
The relationship between social networking addiction and academic performance in Iranian students of medical
Seyyed Mohsen Azizi1, Ali Soroush1, Alireza Khatony2,3
1Clinical Research Development Center of Imam Reza Hospital, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Background:
Social networks have had a major influence on students' performance in recent years. These networks create many opportunities and threats for students in various fields. Addiction to social networking and its impact on students' academic performance caused the researcher to design and conduct this study. The purpose of this study was to investigate the relationship between social networking addiction and academic performance of students in Iran.
Methods:
In this cross-sectional study, 360 students were enrolled by stratified random sampling. The study tools included personal information form and the Bergen Social Media Addiction Scale. Also, the students' overall grade obtained in previous educational term was considered as the indicator of academic performance. Data were analyzed using SPSS-18.0 and descriptive and inferential statistics.
Findings:
The mean social networking addiction was higher in male students (52.65 ± 11.50) than in female students (49.35 ± 13.96) and this difference was statistically significant (P < 0.01). There was a negative and significant relationship between students' addiction to social networking and their academic performance (r = - 0.210, p < 0.01).
Conclusions:
The social networking addiction of the students was at moderate level and the male students had a higher level of addiction compared to the female students. There was a negative and significant relationship between the overall use of social networks and academic performance of students. Therefore, it is imperative that the university authorities take interventional steps to help students who are dependent on these networks and, through workshops, inform them about the negative consequences of addiction to social networks.
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