PREDICTING UNIVERSITY STUDENTS’ INTERNET ADDICTION IN TERMS OF INTERNET AFFINITY AND LEARNED RESOURCEFULNESS
With the rapid increase of technological developments day by day, the Internet has gained an important place in the lives of individuals. The Internet, as being a tool that people need access almost every moment and anywhere in daily life, has become the most powerful one among the communication too...
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| Formato: | article |
| Lenguaje: | DE EN FR TR |
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Fırat University
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/545838087ec0453eaac6ed97ac8a7d71 |
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| Sumario: | With the rapid increase of technological developments day by day, the Internet has gained an important place in the lives of individuals. The Internet, as being a tool that people need access almost every moment and anywhere in daily life, has become the most powerful one among the communication tools, surpassing the influence of television, radio and written media with its services in the century we live in. Fulfilling the needs such as online shopping, chat, bill payment, getting cinema or theatre ticket, and psychological help services in the virtual environment are some of the factors that explains the increase in the Internet useage. These online activities are seen affinity sources especially fort he digital youth born into technology. In addition to this individuals' tendency towards activities such as fun gambling, chatting and networking are clearly seen in the Internet environment, and these causes the use of the Internet, which is already very attractive, to turn into addiction. Addiction is defined as a controlling problem which experienced by people who have difficulty dealing with problems and who have a high impulsive tendency. This study aims to explore the role of Internet affinity and learned resourcefulness in predicting Internet addiction levels of university students. The sampling of the study consists of 229 woman and 221 man, totally 441 students attending a state university in Istanbul. The data were collected through Young's Internet Addiction Test-Short Form, Internet Affinity Scale, Rosenbaum’s Learned Resourcefulness Scale and Personal Information. Multiple linear regression analysis was used in the analysis of the data. According to the the results; university students’ Internet addiction positively correlates with Internet affinity but negatively with learned resourcefulness. In addition, Internet affinity and learned resourcefulness predict Internet addiction. |
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