Correlation between internet addiction and academic
Introduction The world is today celebrating the improvements in communication technology which has broadened the scope of communication through Information and Communication Technologies Asemah et al.
In addition to that the study evaluates gender influence and residential place influence on internet addiction. Internet usage creates positive impacts on education in way of increasing communication with classmates and lecturers, reviewing e-books, increasing access to libraries and educational databases, and improving study hours and study habits Akhter, Internet host data: Network Wizards.
Besides, the identified risk factors there might be other risk factors which were not evaluated in this study. This can be explained by the fact that with the discovery of smart phones and better services offered by the network companies most students access internet from their phones due to ease of access and availability.
Negative effect of internet on students pdf
No significant differences were observed in the prevalence of internet addiction with the different academic years. There are no filters involved which enable them to surf different websites without filtration or time restrictions. Discussion The present study was carried out with the objective to assess the prevalence of Internet addiction among dental university students and to determine if there is any relationship of excessive Internet use with depression and academic performance. Descriptive statistics and inferential statistics analyses were performed by using statistical package of social science SPSS version Further there was a significant difference in internet addiction among residential places of undergraduates. Pearson correlation technique was employed to determine the relationship between internet addiction and academic performance. The statistical techniques frequency and percentage were used to identify the patterns of using the Internet, independent sample t-test and one-way ANOVA were used to examine the differences in internet addiction in terms of demographic factors. Thus, null hypothesis H4 proposed in this study was rejected. This suggests that future research need to work on large sample including various degree programs and in universities. The students who are in third and final academic years have already completed six semesters and then it is much easier to calculate the mean value of GPA. References 1. Despite the positive effects of internet, there is growing literature on the negative effects of its excessive use. The overall prevalence of internet addiction was found to be 6. The mean internet addiction score was found to be Factors influencing internet addiction in a sample of freshmen university students in China.
Internet addiction in Hong Kong adolescents: profiles and psychosocial correlates. Dalbudak E, Evren C. Internet addiction was assessed using Youngs Internet addiction questionnaire.
The area of study is University of Sri Jayewardenepura. The psychometric properties of the internet addiction test.
Negative effect of internet on students pdf
However, it created its own problems and internet addiction becomes one of them Kapahi et al. The statistical techniques frequency and percentage were used to identify the patterns of using the internet, and independent sample t-test and one-way ANOVA were used to examine the differences in internet addiction in terms of demographic factors. A significant difference was observed in the mean depression score with different academic years of dental studies. References 1. References Akhter, N. The important effect that needs to be investigated is whether internet addiction will affect the academic performance of students. On the contrary, studies carried out by Frangos CC et al. Some of the limitations of the study include cross sectional nature of the study design. Table 1 illustrates the frequency and percentage of internet addiction level of undergraduates.
The authors are of the opinion that students who have depressive symptoms usually seek internet for socializing with distant friends and short term relief which makes them addicted to internet.
The age of sample ranged from 21 to 23 years old. Independent sample t-test was employed to determine the differences in geographical factors and internet addiction.
Causes of internet addiction
Hundred undergraduates of the whole students in B. There were 40 male and 60 female students included in the sample. A reason that the authors can cite for the 3rd year and 4th year showing higher prevalence of depression and higher mean depression score is academic pressure and work overload. CNS Spectr. Young KS. Further there was a significant difference in internet addiction among residential places of undergraduates. Interval of the 2- Mean Std. The prevalence of youth internet addiction reported by different researchers varies across different areas of the world [ 22 ]. A study on the prevalence of internet addiction and its association with psychopathology in Indian adolescents. Hence, null hypothesis 1 was rejected. Addictive use of the Internet: a case that breaks the stereotype. The study was carried out in a single institution; hence generalizing the results can be questionable. The mean internet addiction score was found to be
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