Smartphone and internet addiction as predictors of cyberloafing levels in students: A mediated model

被引:1
作者
Ozturk, Mucahit [1 ]
Kerse, Gokhan [2 ]
机构
[1] Aksaray Univ, Fac Educ, Dept Comp & Instruct Technol, Aksaray, Turkey
[2] Kafkas Univ, Fac Econ & Adm Sci, Kars, Turkey
关键词
Smartphone addiction; internet addiction; cyberloafing; smartphone addiction; MOBILE PHONE ADDICTION; CHINESE YOUNG-ADULTS;
D O I
10.3233/EFI-211564
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
This study aims to determine the predictors of cyberloafing behaviors of university students. In this context, we examined the effects of smartphone and internet addiction variables on cyberloafing levels. Besides, the mediator effect of internet addiction was determined in the impact of smartphone addiction on cyberloafing. We conducted the questionnaire-based study with 341 students studying at different departments of a state university (faculty of education, faculty of engineering, and vocational school) in Turkey. Participants consisted of 182 male and 159 female. Students filled out the smartphone addiction scale, the internet addiction scale, and the cyberloafing activities scale. The data obtained from the 5-point Likert type scales were evaluated with correlation and regression analyses. The results showed that there is a significant positive relationship between smartphone addiction, internet addiction, and cyberloafing. While internet addiction was a predictor of cyberloafing, it mediated the effect of smartphone addiction on cyberloafing. We discussed the results of this study and offered suggestions for future research.
引用
收藏
页码:189 / 204
页数:16
相关论文
共 43 条
  • [21] Relationship between shyness and mobile phone addiction in Chinese young adults: Mediating roles of self-control and attachment anxiety
    Han, Lei
    Geng, Jingyu
    Jou, Min
    Gao, Fengqiang
    Yang, Huayong
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2017, 76 : 363 - 371
  • [22] Iskrenovic-Momcilovic O., 2017, EDUCAT IA PLUS, V17, P70
  • [23] Kalayci E., 2010, THESIS HACETTEPE U A
  • [24] Kant R., 2018, ED SCI PSYCHOL, V48
  • [25] Karabiyik C., 2021, Participatory Educational Research, V8, P57, DOI [10.17275/per.21.29.8.2, DOI 10.17275/PER.21.29.8.2]
  • [26] Keser H., 2016, Cypriot Journal of Educational Sciences, V11, P37, DOI [DOI 10.18844/CJES.V11I1.431, 10.18844/cjes.v11i1.431]
  • [27] Leech L N., 2005, SPSS for Intermediate Statistics: Use and Interpretation
  • [28] Social support and Internet addiction among mainland Chinese teenagers and young adults: A meta-analysis
    Lei, Hao
    Li, Shunyu
    Chiu, Ming Ming
    Lu, MingHui
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2018, 85 : 200 - 209
  • [29] Mobile phone addiction and sleep quality among Chinese adolescents: A moderated mediation model
    Liu, Qing-Qi
    Zhou, Zong-Kui
    Yang, Xiu-Juan
    Kong, Fan-Chang
    Niu, Geng-Feng
    Fan, Cui-Ying
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2017, 72 : 108 - 114
  • [30] Prevalence of Internet-based addictive behaviors during COVID-19 pandemic: a systematic review
    Masaeli, Nassim
    Farhadi, Hadi
    [J]. JOURNAL OF ADDICTIVE DISEASES, 2021, 39 (04) : 468 - 488