Examination Of Problematic Internet Use In Information Technology Department Students In Terms Of Different Variables (Malatya Sample)
Abstract
The main aim of this study is to describe the level of problematic internet use for students in Malatya who study in the field of information technology in the vocational secondary education institutions. In this study, general screening method was used. Online Cognition Scale (OCS) and the questionnaire involving demographic information form were used as data collection tools. The universe of the study consists of all information technology students (N = 482) at the vocational and secondary level in Malatya. As data analysis tool, 36-item Online Cognition Scale with seven-point Likert scale and demographic form developed by researchers were used. Cronbach's alpha (a) internal consistency coefficient of the scale was found to be 0.91. In this study, 312 volunteer students selected in the universe were surveyed and the data of 310 individuals who were understood to fill the questionnaire correctly were included in the analysis. Of the 310 individuals involved in the survey, 131 (42.2%) were found to be problematic internet users. This rate shows that a significant number of students who make up the working group are problematic internet users. One-way ANOVA and t-test were performed separately to data of all groups and the data obtained from the problematic internet user group. Whether use of the internet is affected by different variables such as gender, age, registering to social network, attitudes towards occupational fields, and having internet at home or not was investigated according to data obtained. As a result of analyses, it was determined that while there was no relationship between daily internet usage time and problematic internet use, there was a significant relationship between both groups in terms of social network and problematic internet use. It was concluded that gender did not have any contribution to problematic internet use.
Keywords
Problematic Internet Use,Internet addiction,Adolescent,Information Technology,Social Network
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