Araştırma Makalesi
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Ortaokul Öğrencilerinin İnternet Bağımlılığı Düzeyleri ve Etkileyen Faktörler

Yıl 2023, Cilt: 10 Sayı: 2, 18 - 31, 31.12.2023

Öz

Öz: Ortaokul öğrencilerinin internet bağımlılığı düzeyleri ve etkileyen faktörleri belirlemek amacıyla tanımlayıcı olarak yapılmıştır. Araştırma için gerekli olan veriler 16 Aralık 2022- 10 Mart 2023 tarihleri arasında online olarak toplanmıştır. Araştırmanın çalışma grubunu ortaokul öğrencileri oluşturmuştur. Araştırma verilerin toplanılmasında; gönüllü olarak katılan, ebeveynlerinden yazılı onamı alınmış olasılıksız örnekleme yöntemlerinden kolayda örnekleme yöntemi ile seçilen 210 ortaokul öğrencilerinden online survey yöntemi ile sosyo-demografik veri toplama formu ve İnternet Bağımlılık Ölçeği (İBÖ) kullanılmıştır. Araştırmada elde edilen verilerin istatistiksel analiz sürecinde SPSS 26.0 veri analiz programı kullanılmış olup verilerin analizinde bağımsız örneklem t testi ve ANOVA analizi kullanılmıştır. Katılım sağlayan ortaokul öğrencilerinin %52,2’si erkek, %47,8’si kız olup cinsiyetlerine göre internet bağımlılığı ölçeği alt boyutları (yoksunluk, kontrol güçlüğü, işlevsellikte bozulma ve sosyal izolasyon) puanlarında anlamlı farklılık olmadığı (p>,05) yaş ve sınıf düzeylerine göre ise alt boyutlarında biri olan kontrol güçlüğü puanını dışındaki diğer alt boyutlar arasında anlamlı bir farklılık olduğu (p<,05) saptanmıştır. Cinsiyetin internet bağımlılığı üzerinde etkisi olmadığı fakat yaş ve sınıf durumu gibi faktörlerin internet bağımlılığı üzerinde etkisi olduğu sonucuna varılmıştır. Ortaokulda döneminde olan öğrencilere internetin daha verimli, sağlıklı kullanılmasına ilişkin eğitimler düzenlenmeli ve internet bağımlılığı düzeyleri ile etkileyen faktörlere yönelik araştırmalar yapılması önerilmektedir.

Kaynakça

  • Cengizhan, C. (2005). A new dimension in local computer and internet usage: hacking. 8th National PDR Congress, Marmara University, Istanbul.
  • Chou, C., & Hsiao, M. C. (2000). Internet addiction, usage, gratification, and pleasure experience: the Taiwan college students’ case. Computers & Education, 35(1), 65-80. https://doi.org/10.1016/S0360-1315(00)00019-1 Cömert Bilişim, Ögel K. (2009). The prevalence of internet and computer use in the case of Istanbul and its relationship with different examples. Türkiye Klinikleri Journal of Forensic Medicine and Forensic Sciences, 6(1), 9-16.
  • Davis R.A. (2001). A cognitive-behavioral model of pathological internet use. Computers in Human Behavior, (17), 187-195. https://doi.org/10.1016/S0747-5632(00)00041-8
  • Duan, C. R., Lai, M. H., and Qin, M. (2017). Research on the change propensity of children left behind in rural China since the 21st century. Chinese Youth Work, 6, 52–60.
  • Esen B., K. (2007). Prediction of internet use in adolescents according to peer pressure and perceived social variables. I. International Congress of Addiction, Istanbul.
  • Gosling, S. D. and Mason, W. (2015). Internet research in psychology. Annual Psychology Review, 66, 877–902. doi: 10.1146/annurev-psych-010814-015321
  • Gökçearslan, Ş. (2005). Computer use of primary and secondary school students at home, student-parent opinion. Unpublished master's thesis, Hacettepe University Institute of Social Sciences, Ankara.
  • Gunuc S, Kayri M. (2010). Internet piracy profile and restrictions of internet piracy in Turkey: validity-reliability study. Hacettepe University Faculty of Education Journal, 39(39), 220-32.
  • Kaltiala-Heino R, Lintonen T, Rimpelä A. (2004). Internet addiction? Potentially problematic internet use in the 12-18 year old adolescent population. Addiction Research and Theory, 12, 89-96. https://doi.org/10.1080/1606635031000098796
  • Kaplan S. E., (2002). Problematic Internet use and psychosocial well-being: development of a theory-based cognitive-behavioral measurement tool. Computers in Human Behavior, (18), 553–575. https://doi.org/10.1016/S0747-5632(02)00004-3
  • Kheirkhah F, Juibary AG, and Gouran A. (2010) Internet addiction, prevalence and epidemiological characteristics in Mazandaran Province, Northern Iran. Iranian Red Crescent Med J, 12: 133-7
  • Morahan, MJ, Schumacher P. (2000). Prevalence and correlations of pathological Internet use among university students. Computers in Human Behavior, (16), 13-29.
  • Morrison CM and Gore H. (2010) The relationship between excessive internet use and depression: A survey-based study of 1,319 youth and adults. Psychopath, 43, 121- 126. https://doi.org/10.1159/000277001
  • Odabaşı, F. H. (2005). Parents' Views on Internet Usage, Turkish Journal of Online Education Technologies (TOJET), 4(1), 1303-6521.
  • Park SK, Kim JY, Cho CB. (2008) Prevalence of Internet addiction and correlations with family factors among South Korean adolescents. Adolescence, 43(172).
  • Villella C, Martinotti G, Nicola D et al (2011). Behavioral addictions in adolescents and young adults: results of a prevalence study. Journal of Gambling Studies, 27(2), 203-214.
  • Wu CY, Lee MB, Liao SC et al. (2015) Internet addiction risk factors among Internet users: an online survey questionnaire. PloS one, 10, 1-10.
  • Yalçın, C. (2003). Internet from a sociological perspective. Cumhuriyet University Journal of Social Sciences, 27(1), 77-89.
  • Yau YH, Crowley MJ, Mayes LC (2012) Are internet use and video game playing addictive behaviors? Biological, clinical and public health implications for youth and adults. Minerva psichiatrica, 53 (Appendix 3), 153.
  • Young, KS (1996). Internet addiction: the emergence of a new clinical disorder. Cyber Psychology and Behavior, (1), 3, 237-244.
  • Young, KS (1997). What makes the internet addictive: possible explanations for pathological internet use. Published American Psychological Organization 105th Annual Conference Seminar, Washington, D.C.

Internet Addiction Levels of Middle School Students and Affecting Factors

Yıl 2023, Cilt: 10 Sayı: 2, 18 - 31, 31.12.2023

Öz

Abstract: The purpose of this descriptive study was to investigate the levels of internet addiction among middle school students and the contributing factors. The data required for the research were collected online between 16 December 2022-10 March 2023. The study group of the research consisted of middle school students. Online survey method, socio-demographic data collection form and Internet Addiction Scale (IAD) were used from 210 middle school students who voluntarily participated in the collection of research data and were selected by convenience sampling method, one of the improbable sampling methods, with written consent from their parents. SPSS 26.0 data analysis program was used in the statistical analysis of the data obtained in the study, and independent sample t-test and ANOVA analysis were used in the analysis of the data. 52.2% of the participating middle school students are boys and 47.8% are girls. It was determined that there was no significant difference (p>.05) in the scores of the sub-dimensions (deprivation, difficulty in control, impaired functioning and social isolation) of the internet addiction scale according to their gender, and there was a significant difference (p<.05) between the sub-dimensions according to age and grade levels, except for the control difficulty score, which is one of the sub-dimensions. It was determined that gender had no effect on internet addiction, however criteria such as age and social status did. It is proposed that middle school students receive training on the effective and healthy use of the internet, and that research be performed on the prevalence of internet addiction and its contributing causes

Kaynakça

  • Cengizhan, C. (2005). A new dimension in local computer and internet usage: hacking. 8th National PDR Congress, Marmara University, Istanbul.
  • Chou, C., & Hsiao, M. C. (2000). Internet addiction, usage, gratification, and pleasure experience: the Taiwan college students’ case. Computers & Education, 35(1), 65-80. https://doi.org/10.1016/S0360-1315(00)00019-1 Cömert Bilişim, Ögel K. (2009). The prevalence of internet and computer use in the case of Istanbul and its relationship with different examples. Türkiye Klinikleri Journal of Forensic Medicine and Forensic Sciences, 6(1), 9-16.
  • Davis R.A. (2001). A cognitive-behavioral model of pathological internet use. Computers in Human Behavior, (17), 187-195. https://doi.org/10.1016/S0747-5632(00)00041-8
  • Duan, C. R., Lai, M. H., and Qin, M. (2017). Research on the change propensity of children left behind in rural China since the 21st century. Chinese Youth Work, 6, 52–60.
  • Esen B., K. (2007). Prediction of internet use in adolescents according to peer pressure and perceived social variables. I. International Congress of Addiction, Istanbul.
  • Gosling, S. D. and Mason, W. (2015). Internet research in psychology. Annual Psychology Review, 66, 877–902. doi: 10.1146/annurev-psych-010814-015321
  • Gökçearslan, Ş. (2005). Computer use of primary and secondary school students at home, student-parent opinion. Unpublished master's thesis, Hacettepe University Institute of Social Sciences, Ankara.
  • Gunuc S, Kayri M. (2010). Internet piracy profile and restrictions of internet piracy in Turkey: validity-reliability study. Hacettepe University Faculty of Education Journal, 39(39), 220-32.
  • Kaltiala-Heino R, Lintonen T, Rimpelä A. (2004). Internet addiction? Potentially problematic internet use in the 12-18 year old adolescent population. Addiction Research and Theory, 12, 89-96. https://doi.org/10.1080/1606635031000098796
  • Kaplan S. E., (2002). Problematic Internet use and psychosocial well-being: development of a theory-based cognitive-behavioral measurement tool. Computers in Human Behavior, (18), 553–575. https://doi.org/10.1016/S0747-5632(02)00004-3
  • Kheirkhah F, Juibary AG, and Gouran A. (2010) Internet addiction, prevalence and epidemiological characteristics in Mazandaran Province, Northern Iran. Iranian Red Crescent Med J, 12: 133-7
  • Morahan, MJ, Schumacher P. (2000). Prevalence and correlations of pathological Internet use among university students. Computers in Human Behavior, (16), 13-29.
  • Morrison CM and Gore H. (2010) The relationship between excessive internet use and depression: A survey-based study of 1,319 youth and adults. Psychopath, 43, 121- 126. https://doi.org/10.1159/000277001
  • Odabaşı, F. H. (2005). Parents' Views on Internet Usage, Turkish Journal of Online Education Technologies (TOJET), 4(1), 1303-6521.
  • Park SK, Kim JY, Cho CB. (2008) Prevalence of Internet addiction and correlations with family factors among South Korean adolescents. Adolescence, 43(172).
  • Villella C, Martinotti G, Nicola D et al (2011). Behavioral addictions in adolescents and young adults: results of a prevalence study. Journal of Gambling Studies, 27(2), 203-214.
  • Wu CY, Lee MB, Liao SC et al. (2015) Internet addiction risk factors among Internet users: an online survey questionnaire. PloS one, 10, 1-10.
  • Yalçın, C. (2003). Internet from a sociological perspective. Cumhuriyet University Journal of Social Sciences, 27(1), 77-89.
  • Yau YH, Crowley MJ, Mayes LC (2012) Are internet use and video game playing addictive behaviors? Biological, clinical and public health implications for youth and adults. Minerva psichiatrica, 53 (Appendix 3), 153.
  • Young, KS (1996). Internet addiction: the emergence of a new clinical disorder. Cyber Psychology and Behavior, (1), 3, 237-244.
  • Young, KS (1997). What makes the internet addictive: possible explanations for pathological internet use. Published American Psychological Organization 105th Annual Conference Seminar, Washington, D.C.
Toplam 21 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Makaleler
Yazarlar

Çiğdem Müge Haylı 0000-0001-7630-9619

Dilek Demir Kösem 0000-0001-9914-8299

Yayımlanma Tarihi 31 Aralık 2023
Gönderilme Tarihi 11 Temmuz 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 10 Sayı: 2

Kaynak Göster

APA Haylı, Ç. M., & Demir Kösem, D. (2023). Internet Addiction Levels of Middle School Students and Affecting Factors. Online Journal of Technology Addiction and Cyberbullying, 10(2), 18-31.