The Impact of Virtual Social Networks on Students’ Academic Achievement in Birjand University of Medical Sciences in East Iran

Bijari, Bita; Javadinia, Seyed Alireza; Erfanian, Morteza; Abedini, Mohammadreza; Abassi, Ali

doi:10.1016/j.sbspro.2013.06.020

Cited by 25 publications

(23 citation statements)

References 10 publications

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“…Cell phones, tablets, and other hand-held digital devices predispose the users to an increased risk of eyestrain due to their use with improper lighting and smaller font sizes (32). Nearly one third of our respondents were used to spending 2-4 hours on digital devices, which is in line with the study of Bijari et al (24) who reported a mean duration using the computers, that ranged from 1.49 to 2.78 hours daily. The duration of using digital devices can also impact the prevalence and severity of visual and muscular symptoms, as they are more prevalent in persons exposed to monitors for more than 4 hours daily, based on previous data (20).…”

Section: Discussionsupporting

confidence: 88%

Patterns of digital device usage and its related health effects on elementary and middle school students: an instrument development and regression analysis

Alamri¹,

Alhibshi²,

Alnefaie³

et al. 2018

Electron. physician

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Background: The use of digital devices has increased tremendously during recent years in Saudi Arabia. Many concerns were raised about the safety of this technology. Objective: To develop an instrument for determining the pattern of use of digital devices, and to investigate the link between the use of digital devices and visual symptoms among students of general education schools. Methods: This cross-sectional study was carried out from the beginning of April 2017 to the end of September 2017 among students of general education schools in the Western region of Saudi Arabia. The study sample included 475 randomly selected participants. A self-administered questionnaire was used for data collection. The questionnaire had two parts: the first part was about personal information of the study participants, while the second part was about the pattern of use of digital devices, associated visual complaints after use, and recommendations to decrease visual health hazards. IBM-SPSS version 22 was used to conduct the statistical analysis. Logistic regression analysis was used to examine associations with visual and muscular complaints; odds ratios with 95% confidence intervals were generated. Chi square goodness-of-fit test was used to compare categorical variable frequencies across different groups. A p-value of < 0.05 was considered statistically significant. Results: A total of 475 students completed the questionnaire. Nearly half the respondents were males aged more than 19 years old (p<0.001). Most respondents attended secondary schools (p<0.001). Most users experienced neck or shoulder pain (n=305, 64.2%, p<0.001), followed by headaches (n=301, 63.4%, p<0.001), and visual disturbances (n = 275, 57.9%, p=0.001). The majority of students used cellular phones or tablets (n=389, 83.8%). Half the respondents spent more than 4 hours daily using digital devices (p<0.001) and had 2 or more devices. Most students agreed that decreasing the duration of usage (n=217, 45.7%) and scheduling hours (n=214, 45.1%) are the best solutions to decrease the health hazards of digital devices. Logistic regression analysis identified female gender (OR: 2.8, 95% CI: 1.6-4.8, p<0.001) and exposure to digital devices for more than 2 hours per day (OR: 2.9, 95% CI: 1.4-6.3, p=0.006) as significant predictors of symptoms. Conclusion: A significant proportion of school students were aware that prolonged use of digital devices is associated with visual and muscular complaints. Females and individuals spending more than 2 hours a day using these devices are more prone to visual and muscular complaints. Decreasing the hours of usage is necessary to avoid digital device-related health risks.

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Section: Discussionsupporting

confidence: 88%

Patterns of digital device usage and its related health effects on elementary and middle school students: an instrument development and regression analysis

Alamri¹,

Alhibshi²,

Alnefaie³

et al. 2018

Electron. physician

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“…The result of this study showed that there is an inverse relationship between the use of social networks and the student's mean scores which is similar to the results of other research in this field. In this study, the most time spent on social networks is over the nights [9].…”

Section: Related Workmentioning

confidence: 99%

The Ethical and Social Issues of Information Technology: A Case Study

Sargolzaei¹,

Nikbakht²

2017

ijacsa

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Abstract-The present study is conducted among 283 students from University of Zabol to identify the harm and ethical and social issues in the field of information technology and to classify the immoral practices that students are doing in this field. First various important issues in the field of IT in the social and ethical areas are discussed. Then the cases considered as the most commonly used immoral activities, are selected for evaluation, and the participants ranked these activities according to the method presented in the questionnaire. These activities are examined and analyzed descriptively by SPSS program, reliability of the questionnaire is measured by Cronbach's alpha coefficient, Bartlett Test of Sphericity and KMO index and the validity of the results is verified using T-test and the results are ranked based on the first performance that happens frequently and the last performance that happens rarely or never. Finally, a set of strategies are presented for preventing ethical abuse in the field of Information Technology so that the challenges are reduced.

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“…At the dawn of Facebook research, these scales focused on the time one passed on Facebook (per day or week), the number of Facebook friends, Facebook group memberships, and some of the Facebook activities as reading and writing posts by using unidimensional measures (e.g. Bijari, Javadinia, Erfanian, Abedini, & Abassi, 2013;Kirschner & Karpinski, 2010). Firstly, Ellison, Steinfield, and Lampe (2007) measured Facebook intensity in terms of Facebook attitudes which go beyond the above-mentioned aspects.…”

Section: General Introductionmentioning

confidence: 99%

“…One may spend hours on Facebook passively or one may have 4000 friends with several group memberships, but it does not necessarily highlight the given person's involvement in Facebook. Studies examining such Facebook habits may not uncover the emotional bond between the individual and Facebook (Aghazamani, 2010;Alhabash, Park, Kononova, Chiang, & Wise, 2012;Bijari et al, 2013;Kirschner & Karpinski, 2010;Mazman & Usluel, 2010;Rosen, Carrier, & Cheever, 2013;Ross et al, 2009). Therefore, we assume that the notion of Ellison et al (2007) can uncover deeper layers of Facebook involvement and the reexamination of the facets might be relevant considering changes of Facebook and the huge number of diverse users who integrated Facebook use into their everyday life.…”

Section: General Introductionmentioning

confidence: 99%

Four facets of Facebook intensity — The development of the Multidimensional Facebook Intensity Scale

Orosz

Tóth‐Király

Bőthe

2016

Personality and Individual Differences

101

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The aim of the present study was to create a short and valid questionnaire: the Multidimensional Facebook Intensity Scale (MFIS). In Study 1 (N = 512), we used exploratory structural equation modeling to explore the basic dimensions of everyday Facebook use. The results suggested four factors: persistence, boredom, overuse, and self-expression. The MFIS also had good reliability in terms of internal consistency and temporal stability. In Study 2 (N = 566), confirmatory factor analysis was conducted in order to assess the factor structure revealed in the previous study. The four-factor first-order and the second order model appeared to be adequate contrasting to the one factor model. Based on target coefficient the four-factor second-order model appears to be the most adequate. In Study 3 (N = 531), the convergent validity of the MFIS was examined in relation to Facebook addiction, Facebook passion, Online Sociability and different personality dimensions. The MFIS can predict Facebook-related activities as liking and posting better than previous Facebook scales. The results suggest that this questionnaire is able to reliably differentiate between different aspects of Facebook use intensity.

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The Impact of Virtual Social Networks on Students’ Academic Achievement in Birjand University of Medical Sciences in East Iran

Cited by 25 publications

References 10 publications

Patterns of digital device usage and its related health effects on elementary and middle school students: an instrument development and regression analysis

Patterns of digital device usage and its related health effects on elementary and middle school students: an instrument development and regression analysis

The Ethical and Social Issues of Information Technology: A Case Study

Four facets of Facebook intensity — The development of the Multidimensional Facebook Intensity Scale

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