THE REFLECTIONS OF SMARTPHONE USE AND RECREATIONAL USE OF INTERNET BY HIGH SCHOOL STUDENTS TO LEISURE BOREDOM AND ACADEMIC ACHIEVEMENT

Beyza Merve Akgül

Abstract


The purpose of this study is to evaluate the relationship between, on the one hand, smartphone and recreational internet use, and on the other hand, students’ academic success, life satisfaction and boredom in leisure time. The study sample contains 439 randomly selected high school students in Cankaya District, Ankara, Turkey. The questionnaire used to collect data is composed of five parts. These are the “Personal Information Form”, ‘’Smartphone addiction scale”, “Addiction Profile Index Internet Scan Form (BAPINT)”, ‘’leisure boredom scale’’ and ‘’life satisfaction scale’’. Frequency and percentage calculations, Pearson Correlations, multiple regression analysis and One-Way ANOVA test were utilized in the analysis. Consequently, it is observed that there is no meaningful difference between students’ perceived academic success levels in terms of their smartphone use, F(4, 434)= 2.32, p>0.05.  However, it is determined that there is a meaningful difference between students’ perceived academic success levels with regard to their recreational internet use, F(4,434)=5.36, p<0.05. Scheffe test results reveal that students with ‘bad’ level of perceived academic success have higher recreational internet use than students with ‘good’ level of perceived academic success. It is observed that there is a positive, medium-level relationship (r=0.40, p<0.01) between high school students’ smartphone use and their use of internet for recreational purposes. While it is also observed that there is a positive, medium-level relationship (r=0.39, p<0.01) between high school students’ level of boredom in leisure time and their smartphone use; it is also found out that the relationship between students’ level of boredom and recreational internet use is positive but weak. While it is seen that there is a negative and weak relationship (r=-0.16, p<0.01) between students’ life satisfaction levels and recreational internet use; it is also determined that relationship between students’ life satisfaction levels and smartphone use is negative and weak in a similar fashion (r=-0.20, p<0.01). Students’ recreational internet use, together with boredom in leisure time, shows a medium level and meaningful relationship with students’ smartphone use, r =0.49, R2=0.24, p<0.01. These variables, together, account for 24% of the total variance in smartphone use. In conclusion, it can be stated that recreational use of internet affects students’ academic success negatively. Besides, we can say that as level of boredom experienced by students in leisure time increases, so does addiction to smartphone and use of internet for recreation purposes. In turn, high level of smartphone and internet use negatively affects students’ life satisfaction levels.

 

Article visualizations:

Hit counter


Keywords


smartphone addiction, recreational use of internet, leisure boredom, academic achievement

References


O. Egger, Ö. Rauterberg. Internet behavior and addiction. Unpublished Master’s thesis, Swiss Federal Institute of Technology, Zurich, 1996.

R. A. Davis. A cognitive-behavioral model of pathological Internet use. Computers in Human Behavior, 17, 187-195. Doi:10.1016/S0747-5632, 2001.

D.M. Siyez, A. Uzbaş .İnternet bağımlılığı ve psikososyal faktörler. M. Kalkan ve C. Kaygusuz (Ed.), İnternet bağımlılığı: Sorunlar ve çözümler içinde. Ankara, Anı Yayıncılık, 2013.

K. Ögel. İnternet Bağımlılığı: İnternetin Psikolojisini Anlamak ve Bağımlılıkla Başa Çıkmak .İstanbul: İş Bankası Kültür Yayınları, 2012.

Guerra, G., Williamson A. A., Lucas-Molina, B. (2012). Normal development: Infancy, childhood and adolescence, IACAPAP Textbook of Child and Adolescent Mental Health, Chapter A.2. 1-39.

Arslan C., Yücel A. S., Güllü M. (2010). İlköğretim ve Ortaöğretimde Öğrenim Gören Öğrencilerin spor ve oyun alışkanlıklarının incelenmesi. E-journal of New World Sciences Academy. 5(1): 28-46.

Kwon M, Kim DJ, Cho H,Yang S. The smartphone addiction scale: development and validation of a short version for adolescents. PloS One 2013; 8:e83558.

Noyan C.O, Darçın A.E., Nurmedov S, Yılmaz O., Dilbaz N. (2015). Akıllı Telefon Bağımlılığı Ölçeği’nin Kısa Formunun Üniversite Öğrencilerinde Türkçe Geçerlilik ve Güvenilirlik Çalışması. Anadolu Psikiyatri Derg. 16(Özel sayı 1): 73-81.

Soylu Y, Siyez DM, (2014) ‘Leisure Time Boredom Scale: A Study for Reliability and Vailidity for Turkey’. Ege Education J. 15(1):80-95.

Diener, E. D., Emmons, R.A., Larsen, R. J., and Griffin, S. (1985) The satisfaction with life scale. Journal of Personality Assesment, 49(1), 71-75.

Özdemir A. (2009). Katılımcı Kentli Kimliğinin Oluşumunda Kamusal Yeşil Alanların Rolü: Ankara Kent Parkları Örneği, Süleyman Demirel Üniversitesi Orman Fakültesi Dergisi, 1, 144-153.

Shapira, N.A., Goldsmith, T.D., Keck, P.E., Khosla, U.M. & McElroy, S.L. (2000). Psychiatric features of individuals with problematic internet use. Journal of Affective Disorders, 57; 267- 272.

Young, K. S. (2007). Treatment outcomes with internet addicts. CyberPsychology & Behavior, 10(5); 671 -679.

Young, K. S. & Rodgers, R. C. (1998a). Internet addiction: personality traits associated with its development. 69th Annual Meeting of the Eastern Psychological Association.

Young, S. K, & Rodgers, R. C. (1998b). The relationship between depression and internet addiction. CyberPsychology and Behavior, 1(1); 25- 28.

Nie, N. & Erbring, L. (2000). Debating the societal effects of the internet: Connecting with the world. Public Perspective,11; 42- 43.

Robin M. M. & Cooper, A. (2003). The duration and frequency of internet use in a nonclinical sample: Suicidality, behavioral problems, and treatment histories. Psychotherapy: Theory, Research, Practice, Training, 40(1-2); 125-135.

Sang, L., Whang, M., Lee, S. & Chang, G.(2003). Internet over-users' psychological profiles: A behavior sampling analysis on internet addiction. CyberPsychology & Behavior, 6(2); 143- 150.

Kraut, R., Paterson, M., Lundmark, V., Kiesler, S., Mukophadhyay, T. & Scherlis, W. (1998). Internet paradox: A social technology that reduces social involvement and psychological well-being? American Psychologist, 53 (9) ; 1017-1031.

Chou, C. & Hsiao, M.C. (2000). Internet addiction, usage, gratification and pleasure experience: the Taiwan college students’ case. Computer & Education, 35; 65- 80.

Willoughby, T. (2008). A short-term longitudinal study of Internet and computer game use by adolescent boys and girls: Prevalence, frequency of use, and psychosocial predictors. Developmental Psychology, 44(1); 195- 204.

Cao, F., Su, L., Liu, T. & Gao, X. (2007). The relationship between impulsivity and internet addiction in a sample of Chinese adolescents. European psychiatry: The Journal of the Association of European Psychiatrists, 22(7); 466- 471.

Caplan, S.E. (2002). Problematic internet use and psychosocial well-being: Development of a theory-based cognitive behavioral measurement instrument. Computers in Human Behavior, 18(5); 553- 575.

Kang, S. (2007). Disembodiment in online social interaction: impact of online chat on social support and psychosocial well-being. CyberPsychology & Behavior, 10(3); 475- 477.

Kraut, R., Paterson, M., Lundmark, V., Kiesler, S., Mukophadhyay, T. & Scherlis, W. (1998). Internet paradox: A social technology that reduces social involvement and psychological well-being? American Psychologist, 53 (9) ; 1017-1031.

Sang, L., Whang, M., Lee, S. & Chang, G.(2003). Internet over-users' psychological profiles: A behavior sampling analysis on internet addiction. CyberPsychology & Behavior, 6(2); 143- 150.

Shapiro, J. S. (1999). Loneliness: Paradox or artifact? American Psychologist, 54(9); 782- 783.

Iso-Ahola, S. E., & Crowley, E. D. (1991) “Adolescent substance abuse and leisure

boredom.” Journal of Leisure Research, 23(3), 260–271.

Iso-Ahola, S. E., & Weissinger, E. (1990) “Perceptions of boredom in leisure: Conceptualization, reliability and validity of the leisure boredom scale.” Journal of Leisure Research, 22(1), 1–17.

Leung, L.(2007). Leisure Boredom, Sensation Seeking, Self-esteem, Addiction Symptoms and Patterns of Mobile Phone Use. Center for Communicaion Research School of Journalism & Communication The Chinese University of Hong Kong, 1-36.

Kubey, R.W., Lavin, M. J., & Barrows, J. R. (2001). Internet use and collegiate academic performance decrements: early findings. Journal of Communication, 51, 366–382.

Yang, S. C., & Tung, C. J. (2007). Comparison of internet addicts and non-addicts in Taiwanese high school. Computers in Human Behavior, 23(1), 79–96.

Morahan-Martin, J.M. & Schumacher, P. (2000). Incidence and correlates of pathological internet use among college students. Computers in Human Behavior, 16; 13- 29.

Huang, R. L., Lu, Z., Liu, J. J., You, Y. M., Pan, Z. Q., Wei, Z., et al. (2009). Features and predictors of problematic internet use in Chinese college students.

Behaviour & Information Technology, 28, 485–490.

Stavropoulos V., Alexandraki K., Motti-Stefanidi F. (2013). Recognizing internet addiction: Prevalance and relationship to academiz achievement in adolescents enrolled in urban and rural Greek high schools. Journal of Adolescence, 36, 565-576. (Ministry of Education & Human Resources, 2006). Won-han yaz

Hofferth, S. L., & Sandberg, J. F. (2001). How American children spend their time. Journal of Marriage and Family, 63, 295–308.

Stattin, H., Kerr, M., Mahoney, J., Persson, A., & Magnusson, D.(2005). Explaining why a leisure context is bad for some girls and not for others. In J. L. Mahoney, R. W. Larson, & J. S. Eccles (Eds.), Organized activities as context of development: Extracurricular activities, after-school and community programs (pp. 211–234). Mahwah, NJ: Lawrence Erlbaum.

Gross, E. F. (2004). Adolescent Internet use: What we expect, what teens report. Applied Development Psychology, 25, 633–649.

Pedersen, S., & Seidman, E. (2005). Contexts and correlates of out-of-school activity participation among low-urban adolescents. In J. L.Mahoney, R. W. Larson, & J. S. Eccles (Eds.), Organized activi-

ties as context of development: Extracurricular activities, after-school and community programs (pp. 85–109). Mahwah, NJ: Lawrence Erlbaum.

Won, S.J., &Han, S. (2010). Out-of-School Activities and Achievement Among Middle School Students in the U. S. and South Korea. Journal of Advanced Academics, 21(4), 628-661.

TÜİK (TSI: Turkish Statistics Ins.). Hane Halkı Bilişim Teknolojileri Kullanım Araştırması, Erişim tarihi: 15.08.2015 http://www.tuik.gov.tr/, 2014.

Dinç, M .(2012). Türkiye Dijital Oyunlar Federasyonu, Erişim tarihi: 01.04.2016 https://www.tbmm.gov.tr/arastirma_komisyonlari/bilisim_internet/docs/sunumlar/turkiye_dijital_oyunlar_federasyonu.pdf

Turkey Statistical Institute (TSI), 2014-2015 Time Survey. http://www.tuik.gov.tr/PreHaberBultenleri.do?id=18627.




DOI: http://dx.doi.org/10.46827/ejpe.v0i0.317

Refbacks

  • There are currently no refbacks.


Copyright (c) 2016 Beyza Merve Akgül

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2015 - 2023. European Journal of Physical Education and Sport Science (ISSN 2501 - 1235) is a registered trademark of Open Access Publishing Group. All rights reserved.


This journal is a serial publication uniquely identified by an International Standard Serial Number (ISSN) serial number certificate issued by Romanian National Library (Biblioteca Nationala a Romaniei). All the research works are uniquely identified by a CrossRef DOI digital object identifier supplied by indexing and repository platforms. All authors who send their manuscripts to this journal and whose articles are published on this journal retain full copyright of their articles. All the research works published on this journal are meeting the Open Access Publishing requirements and can be freely accessed, shared, modified, distributed and used in educational, commercial and non-commercial purposes under a Creative Commons Attribution 4.0 International License (CC BY 4.0).