Skip to main content

Advertisement

Log in

An investigation of cyberloafing behaviors in learners of Turkish as a foreign language

  • Published:
Current Psychology Aims and scope Submit manuscript

Abstract

Cyberloafing can be defined as using technological devices for extracurricular activities during the lesson. The misuse of technological tools and facilities in educational environments causes many learning problems. One of the most important behaviors that cause this problem is cyberloafing. The explorative and main aim of the current study is to examine the reasons behind the cyberloafing behaviors of those who learn Turkish as a foreign language in terms of various variables and explore the phenomenological point of view of participants. The research was carried out in accordance with the convergent parallel mixed method design. The “Cyberloafing Behaviors Scale” was employed to collect quantitative data from a total of 207 students learning Turkish in 5 different TÖMER (Teaching Turkish Center); in the process of qualitative data collection, open-ended questions formed by the researcher were used. For examining mean differences in terms of categorical variables t-test and separate ANOVAs were run. In ANOVAs, in order to minimize the possibility of error that may occur in the ANOVA test, type I error was controlled with Bonferroni correction. To determine predictors of cyberloafing behaviors of the study group multiple regression analysis was utilized. According to the findings of the current study, there was no significant difference between gender and time spent on social media and cyberloafing behavior; in the real-time updating dimension, it was determined that there was a significant difference between the B1 level and B2 and C1 levels. Having devices such as laptops stands out as the variable that predicts cyberloafing the most. It was also observed that cyberloafing behavior decreased as speaking skill increased. When the qualitative data was examined, the students stated that they were cyberloafing due to reasons such as messaging, sharing photos and videos because of boring lessons.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Data Availability

Due to privacy and ethical concerns, data can only be shared upon request.

References

  • Akbulut, Y., Dönmez, O., Dursun, Ö. Ö., & Şahin, Y. L. (2016). In search of a measure to investigate cyberloafing in educational settings. Computers in Human Behaviour, 55, 616–625.

    Article  Google Scholar 

  • Akbulut, Y., Dönmez, O., & Dursun, Ö. Ö. (2017). Cyberloafing and social desirability bias among students and employees. Computers in Human Behavior, 72, 87–95.

    Article  Google Scholar 

  • Akgün, F. (2020). Investigation of high school students’ cyberloafing behaviors in classes. Education & Science, 45, 201.

    Google Scholar 

  • Alanoğlu, M., & Karabatak, S. (2021). Examining of the smartphone cyberloafing in the class: Relationship with the attitude towards learning and prevention of cyberloafing. International Journal of Technology in Education (IJTE), 4(3), 351–372.

    Article  Google Scholar 

  • Anandarajan, M., Simmers, C., & Igbaria, M. (2000). An exploratory investigation of the antecedents and impact of internet usage: An individual perspective. Behavior & Information Technology, 19, 69–85.

    Article  Google Scholar 

  • Andel, S. A., Kessler, S. R., Pindek, S., Kleinman, G., & Spector, P. E. (2019). Is cyberloafing more complex than we originally thought? Cyberloafing as a coping response to workplace aggression exposure. Computers in Human Behavior, 101, 124–130.

    Article  Google Scholar 

  • Arabacı, B. (2017). Investigation faculty of education students’ cyberloafing behaviours in terms of various variables. The Turkish Online Journal of Educational Technology, 16(1), 72–82.

    Google Scholar 

  • Baturay, M. H., & Toker, S. (2015). An investigation of the impact of demographics on cyberloafing from an educational setting angle. Computers in Human Behaviour, 50, 358–366.

    Article  Google Scholar 

  • Beri, N., & Anand, S. (2020). Consequences of cyberloafing – a literature review. European Journal of Molecular & Clinical Medicine, 7(6), 434–440.

    Google Scholar 

  • 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, 1067–1084.

    Article  Google Scholar 

  • Büyüköztürk, Ş., Kılıç Çakmak, E., Akgün, Ö. E., Karadeniz, Ş., & Demirel, F. (2015). Bilimsel araştırma yöntemleri. [Scientific research methods]. Ankara: Pegem Academy.

    Google Scholar 

  • Büyüköztürk, Ş. (2012). Sosyal bilimler için veri analizi el kitabı. [Data analysis handbook for the social sciences 23rd edition]. Ankara: Pegem Academy.

    Google Scholar 

  • Cioban, S., Lazar, A. R., Bacter, C., & Hatos, A. (2021). Adolescent deviance and cyber-deviance. A systematic literature review. Frontiers In Psychology, 12, 748006.

    Article  PubMed  PubMed Central  Google Scholar 

  • Creswell, J. W. (2009). Research design: Qualitative, quantiative, and mixed method approaches. SAGE Publications.

  • Creswell, J. W., & Plano, C. V. L. (2007). Choosing a mixed methods design. In J. W. Creswell (Ed.), Designing and conducting mixed methods research (pp. 58–89). California, USA: Clark VLP Sage.

    Google Scholar 

  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences (second edition) USA: Lawrence Erlbaum Associates.

  • Delen, B., & Bulut, O. (2011). The relationship between students’ exposure to technology and their achievement in science and math. The Turkish Online Journal of Educational Technology, 10, 3, 311–317.

    Google Scholar 

  • Demirkutu, K., & Orta-Metin, Ä. (2020). Cyberloafing behaviors among university students and its relation to hedonistic-stimulation value orientation, cyberloafing attitudes, and time spent on the internet. Current Psychology, 41, 4271–4282.

    Google Scholar 

  • Durak Yıldız, H., & Sarıtepeci, M. (2019). Occupational burnout and cyberloafing among teachers: Analysis of personality traits, individual and ocuupational status variables as predictors. The Social Science Journal, 56(1), 69–87.

    Article  Google Scholar 

  • Durbin, J., & Watson, G. S. (1951). Testing for serial correlation n least squares regression. II Biometrika, 38, 159–177.

    Article  MathSciNet  CAS  PubMed  Google Scholar 

  • Dursun, Ö. Ö., Dönmez, O., & Akbulut, Y. (2018). Predictors of cyberloafing among preservice information technology teachers. Contemporary Educational Technology, 9(1), 22–41.

    Google Scholar 

  • Flanigan, A. E., & Kiewra, K. A. (2018). What college instructors can do about student cyber-slacking. Educational Psychology Review, 30, 585–597.

    Article  Google Scholar 

  • Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2011). How to design and evaluate research in education (eight edition). New York: McGraw-Hill.

    Google Scholar 

  • Field, A. (2009). Discovering statistic using SPSS (and sex and drugs and rock ‘n’ roll) (3rd Edition). London: SAGE Publications.

    Google Scholar 

  • Gökçearslan, Ş., Kuşkaya Mumcu, F., Haşlaman, T., & Demiraslan Çevik, Y. (2016). Modelling smartphone addiction: The role of smartphone usage, self-regulation, general self-efficacy and cyberloafing in university students. Computers in Human Behavior, 63, 639–649.

    Article  Google Scholar 

  • Gökçearslan, Ş., Uluyol, Ç., & Şahin, S. (2018). Smartphone addiction, cyberloafing, stress and social support among university students: A path anaysis. Children and Youth Services Review, 91, 47–54.

    Article  Google Scholar 

  • Hess-Biber, S. N. (2010). Mixed methods research: Merging theory with practice. New York, NY: Guilford Press.

    Google Scholar 

  • Holt, T. J., Burruss, G. E., & Bossler, A. M. (2010). Social learning and cyber-deviance: Examining the importance of a full social learning model in the virtual world. Journal of Crime and Justice, 33(2), 31–61.

    Article  Google Scholar 

  • Holt, T. J., Bossler, A. M., & May, D. C. (2012). Low self-control, deviant peer associations, and juvenile cyberdeviance. American Journal of Criminal Justice, 37, 378–395.

    Article  Google Scholar 

  • Johnson, P. R., & Indvik, J. (2003). The organizational benefits of reducing cyberslacking in the workplace. Journal of Organizational Culture Communicaitons and Conflict, 8(2), 55–62.

    Google Scholar 

  • Lee, B. H. (2018). Explaining cyber deviance among school-aged youth. Child Ind Res, 11, 563–584.

    Article  Google Scholar 

  • Leech, N. L., Barret, K. C., & Morgan, G. A. (2005). SPSS for intermediate statistics: Use and interpretation (2nd edition) New Jersey: Lawrence Erlbaum Associates.

  • Lim, V. K. G. (2002). The IT way of loafing on the job: Cyberloafing, neutralizing and organizational justice. Journal of Organizational Behaviour, 23, 675–694.

    Article  Google Scholar 

  • Lin, W. C., & Yang, S. C. (2011). Exploring students’ perceptions of integrating Wiki technology and peer feedback into English writing courses. English Teaching: Practice and Critique, 10, 2, 88–103.

    Google Scholar 

  • Menard, S. (1995). Applied logistic regression analysis. Thousand Oaks, CA: Sage.

    Google Scholar 

  • Mercado, B. K., Giordano, C., & Dilchert, S. (2017). A meta-analytic investigation of cyberloafing. Career Development International, 22(5), 546–564.

    Article  Google Scholar 

  • Merriam, S. B., & Bass, J. (2013). In S. Turan (Ed.), Qualitative research: A guide to design and implementation. (3. Trans: ). Ankara: Nobel Publication.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • Ozdamli, F., & Ercag, E. (2021). Cyberloafing among university students. TEM Journal, 10(1), 421–426.

    Article  Google Scholar 

  • Pallant, J. (2010). SPSS Survival manual: A step by step guide to data analysis using SPSS (4th edition) England: McGrawHill.

  • Piotrowski, C. (2012). Cyberloafing: A content analysis of the emerging literature. Journal of Instructional Psychology, 39, 259–261.

    Google Scholar 

  • Sana, F., Weston, T., & Cepeda, N. J. (2013). Laptop multitasking hinders classroom learning for both users and nearby peers. Computers & Education, 62, 24–31.

    Article  Google Scholar 

  • Simanjuntak, E., Nawangsari Fardana, N. A., & Ardi, R. (2019). Do students really use internet access for learning in the classroom?: Exploring students’ cyberslacking in an indonesian university. Behavioral Sciences, 9, 123, 1–9.

    Article  Google Scholar 

  • Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5th ed.).). New York: Allyn & Bacon.

    Google Scholar 

  • Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.).). Boston MA: Pearson Educaiton.

    Google Scholar 

  • Tandon, A., Kaur, P., Ruparel, N., Islam, J. U., & Dhir, A. (2021). Cyberloafing and cyberslacking in the workplace: Systematic literature review of past achievements and future promises. Internet Research, 32(1), 55–89.

    Article  Google Scholar 

  • Taneja, A., Fiore, V., & Fischer, B. (2015). Cyber-slacking in the classroom: Potenital for digital distraction in the new age. Computers & Education, 82, 141–151.

    Article  Google Scholar 

  • Udris, R. (2016). Cyber deviance among adolescents and the role of family, school, and neighborhood: A cross-national study. International Journal of Cyber Criminology, 10(2), 127–146.

    Google Scholar 

  • Ugrin, J. C., Pearson, J. M., & Nickle, S. M. (2018). An examination of the relationship between culture and cyberloafing using the hofstede model. Journal of Internet Commerce, 17(1), 46–63.

    Article  Google Scholar 

  • Van Doorn, O. N. (2011). Cyberloafing: A multi-dimensional construct placed in a theoretical framework [Unpublished master thesis]. Eindhoven University of Technology.

  • Varol, F., & Yıldırım, E. (2019). Cyberloafing in higher education: Reasons and suggestions from students’ perspectives. Tech Know Learn, 24, 129–142.

    Article  Google Scholar 

  • Vitak, J., Crouse, J., & LaRose, R. (2011). Personal internet use at work: Understanding cyberslacking. Computers in Human Behavior, 27(5), 1751–1759.

    Article  Google Scholar 

  • Yıldırım, A., & Şimşek, H. (2011). Sosyal bilimlerde nitel araştırma yöntemleri (8. Baskı) [Qualitative research methods in the social sciences (8th edition] Ankara: Seçkin Publishing.

  • Yılmaz Karaoğlan, F. Y., Yılmaz, R., Öztürk, H. T., Sezer, B., & Karademir, T. (2015). Cyberloafing as a barrier to the successful integration of information and communication technologies into teaching and learning environments. Computers in Human Behavior, 45, 290–298.

    Article  Google Scholar 

  • 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 Behavior And Social Networking, 21(3), 199–204.

    Article  PubMed  Google Scholar 

  • Zou, D., & Zhang, R. (2021). Types, features, and effectiveness of technologies in collaborative writing for second language learning.Computer Assisted Language Learning,1–31.

Download references

Acknowledgements

On behalf of all authors, the corresponding author states that there is no conflict of interest.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Haluk Güngör.

Ethics declarations

Conflict of interest

All authors declare that they have no conflict of interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary Material 1

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Güngör, H., Ustabulut, M. An investigation of cyberloafing behaviors in learners of Turkish as a foreign language. Curr Psychol 43, 2461–2472 (2024). https://doi.org/10.1007/s12144-023-04491-7

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12144-023-04491-7

Keywords

Navigation