Examination of High School Students' Virtual Idle Behaviors in Terms of Demographic Variables
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https://doi.org/10.5281/zenodo.10622651Keywords:
Cyber Idleness, Cyber Loafing, Internet Addiction, High School StudentsAbstract
The measures taken to control the coronavirus disease have significantly affected the functioning of all social institutions, especially health and education, as well as the lives, behaviors and habits of individuals benefiting from educational services. As a concrete example of this, activities in the education sector have been carried out with distance education tools since the beginning of the epidemic process. Beyond current information and reports focusing on the efficiency of such services, especially the effectiveness of distance education, the effects of frequently used distance education tools on various behaviors of young people have also become an important research topic. This project; The aim of this study is to examine the Virtual Idleness behavior of high school students in order to determine the levels at which they continue to use the internet during the lesson and to reveal whether this behavior differs significantly according to demographic variables.
In the research model, the independent variables consist of demographic elements, and the dependent variable consists of Virtual Idleness behavior and its sub-dimensions. The sample of the research consists of 284 high school students randomly selected from the universe consisting of a total of 3,263 students studying in 6 different types of high schools in the 2022-2023 academic year. The form, which was developed from demographic information and the Virtual Idleness Scale as a measurement tool, was applied by meeting the students one-on-one or using an online survey application. In interpreting the findings, descriptive statistics and correlations were examined and the relationship between the variables was analyzed with difference tests. The main findings of the research reveal that Virtual Idleness of high school students varies significantly according to school type, mother's education level and family income level. In addition to being the first in its field, the research contributes to the understanding of young people's virtual behaviors during education and training, thus it is important for the development of educational practices and lesson planning in Turkey.
References
Akbulut, Y., Dursun, Ö. Ö., Dönmez, O. & Şahin, Y. L. (2016). In search of a measure to investigate cyberloafing in educational settings. Computers in Human Behavior, 55, 616-625.
Anandarajan, M., & Simmers, C. (Eds.). (2004). Personal web usage in the workplace: A guide to effective human resources management. IGI Global.
Blanchard, A. L., & Henle, C.A. (2008). Correlates of different forms of cyberloafing: The role of norms and external locus of control. Computers in human behavior, 24(3), 1067-1084.
Büyüköztürk, Ş. (2002). Faktör analizi: Temel kavramlar ve ölçek geliştirmede kullanımı. Kuram ve uygulamada eğitim yönetimi, 32(32), 470-483.
Ceyhan, E., Ceyhan, A. A., & Gürcan, A. (2007). The validity and reliability of the problematic Internet usage scale. Educational Sciences: theory & practice, 7(1).
Çokluk, Ö., Şekercioğlu, G., & Büyüköztürk, Ş. (2012). Sosyal bilimler için çok değişkenli istatistik: SPSS ve LISREL uygulamaları (Vol. 2). Ankara: Pegem Akademi.
Ergün, E., & Altun, A. (2011). Öğrenci Gözüyle Siber Aylaklık ve Nedenleri. Eğitim Teknolojisi Kuram ve Uygulama, 2(1), 36-53.
Fındıklı, M. A. (2016). Sanal kaytarma ve iş performansı ilişkisi: Sağlık ve tekstil sektörü çalışanlarının karşılaştırılması.
Gezgin, D. M., Kamalı Arslantaş, T. & Şumuer, E. (2018). Meslek Lisesi Öğrencilerinin Siber Aylaklık Düzeyinin Farklı Değişkenlere Göre İncelenmesi. Ege Eğitim Dergisi, 19 (2), 408-424. DOI: 10.12984/egeefd.344675
Gezgin, M. D., Şahin, L. Y., & Yıldırım, S. (2017). Sosyal ağ kullanıcılarının nomofobi düzeylerinin çeşitli faktörler açısından incelenmesi. Eğitim Teknolojisi Kuram ve Uygulama, 7 (1), 141-158.
Gökçearslan, Ş., & Günbatar, M. S. (2012). Ortaöğrenim Öğrencilerinde İnternet Bağımlılığı. Eğitim Teknolojisi Kuram ve Uygulama, 2(2), 10-24.
Hair Jr, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European business review.
Kalaycı, E. (2010). Üniversite öğrencilerinin siber aylaklık davranışları ile öz düzenleme stratejileri arasındaki ilişkinin incelenmesi. [Yayınlanmamış Yüksek Lisans Tezi], Ankara, Hacettepe Üniversitesi Fen Bilimleri Enstitüsü.
Karaoglan Yilmaz, F. G., Yilmaz, R., Ozturk, H. T., Sezer, B., & Karademir, T. (2015). Cyberloafing as a barrier to successful integration and information and communication technologies into teaching and learning environments. Computers in Human Behaviour, 45, 290-298.
King, D. L., Delfabbro, P. H., Billieux, J. & Potenza, M. N. (2020). Problematic online gaming and the COVID-19 pandemic. Journal of Behavioral Addictions, 9(2), 184-186.
Kurt, M. (2011, September). Siber aylaklık davranışlarının karşılaştırmalı olarak incelenmesi. In Fırat University 5th International Computer & Instructional Technologies Symposium, September (Vol. 22, p. 24).
Lim, V. K., Teo, T. S., & Loo, G. L. (2002). How do I loaf here? Let me count the ways. Communications of the ACM, 45(1), 66-70.
Mills, J. E., Hu, B., Beldona, S., & Clay, J. (2001). Cyberslacking! A liability issue for wired workplaces. Cornell Hotel and Restaurant Administration Quarterly, 42(5), 34-47.
Örücü, E. & Yıldız, H. (2014). İşyerinde Kişisel İnternet ve Teknoloji Kullanımı: Sanal Kaytarma. Ege Akademik Bakış, 14(1), 99-114.
Sarı-Aytekin, S. (2021). Sanal kaytarma (cyberloafing) kavramı ve sanal kaytarma kavramını açıklamakta kullanılan teoriler.
Seçkin, Z. & Kerse, G. (2017). Üniversite Öğrencilerinin Sanal Kaytarma Davranışları ve Bu Davranışların Çeşitli Değişkenler Açısından İncelenmesi: Ampirik Bir Araştırma. Aksaray Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 9(1), 89-110.
Tabachnick, B. G. & Fidell, L. S. (2007). Using multivariate statistics (5th ed.). Allyn & Bacon/Pearson Education
Tanrıverdi, Ö., & Karaca, F. (2018). Ergenlerin Demografik Özelliklerine Göre Bilişsel Kapılma ve Siber Aylaklık Etkinlik Düzeylerinin İncelenmesi. Addicta: The Turkish Journal on Addictions, 5(2), 285-315.
Ugrin, J. C., Pearson, J. M., & Odom, M. D. (2008). Profiling cyber-slackers in the workplace: Demographic, cultural, and workplace factors. Journal of Internet Commerce, 6(3), 75-89.
Ünal, Ö. F., & Tekdemir, S. (2015). Sanal kaytarma: Bir kamu kurumunda ampirik bir araştırma. Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 20(2), 95-118.
Vitak, J., Crouse, J., & LaRose, R. (2011). Personal Internet use at work: Understanding cyberslacking. Computers in Human Behavior, 27(5), 1751-1759.
Wu, J., Mei, W., & Ugrin, J.C. (2018). Student cyberloafing in and out of the classroom in china and the relationship with student performance. Cyberpsychology, Behaviour and Social Networking, 21(3), 199-204. https://doi.org/10.1089/ cyber.2017.0397
Yağcı, M., & Yüceler, A. (2016). Kavramsal boyutlarıyla sanal kaytarma. International Journal of Social Sciences and Education Research, 2(2), 663-673.
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