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academic performance cyberslacking media multi tasking efficacy self regulation

Cyberslacking Behavior and Its Relationship with Academic Performance: A Study of Students in Indonesia

Meily Margaretha , Sherlywati , Yani Monalisa , Ana Mariana , Imelda Junita , Martalena , Dini Iskandar , Nur

Students are aware of the use of technology in the learning process, and they are generally referred to as digital natives. However, there are challen.

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Students are aware of the use of technology in the learning process, and they are generally referred to as digital natives. However, there are challenges associated with the availability of internet access as a learning process to both university students and teachers inside and outside the classroom. One of such challenges is students’ ability to access unrelated activities which is known as cyberslacking. In the education sector, this process refers to the use of technology for unrelated academic activities. Studies associated with this activity are significantly conducted in western countries, but it is still limited to the Indonesia education environment. Therefore, this research aims to investigate the cyberslacking behavior of students in Indonesia and its relationship to their academic performances. It also determines the relationship between media multi-tasking efficacy and self-regulated learning. The results showed that there is a significant influence between media multi-tasking efficacy and self-regulated learning with cyberslacking. Furthermore, there is a negative influence between cyberslacking and the academic performance of students in Indonesia. This research adds references to studies on cyberslacking in the scope of education and provides input for universities to develop the management of information and communication technology used in the learning process.

Keywords: Academic performance, cyberslacking, media multi-tasking efficacy, self-regulation.

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References

Aguilar-Roca, N. M., Williams, A. E., & O’Dowd, D. K. (2012). The impact of laptop-free zones on student performance and attitudes in large lectures. Computers & Education, 59(4), 1300-1308. https://doi.org/10.1016/j.compedu.2012.05.002

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(2), 616-625. https://doi.org/10.1016/j.chb.2015.11.002

Alt, D. (2017). Students’ social media engagement and fear of missing out (fomo) in a diverse classroom. Journal of Computing in Higher Education, 29(4), 1-23. https://doi.org/10.1007/s12528-017-9149-x 

Anam, K., & Pratomo, G. A. (2019). Fenomena cyberslacking pada mahasiswa [The phenomenon of cyberslacking in college students]. Intuition Research Psychology Journal/ Intuisi Jurnal Psikologi Ilmiah, 11(3), 202-210.

Arabaci, I. (2017). Investigation faculty of education students’ cyberloafing behaviors in terms of various variables. Turkish Online Journal of Educational Technology, 16(1), 72-82.

Barks, A., Searight, H. R., & Ratwik, S. (2011). Effects of text messaging on academic performance. Signum Temporis: Journal of Pedagogy and Psychology, 4(1), 4-9. https://doi.org/10.2478/v10195-011-0039-0

Bellur, S., Nowak, K. L., & Hull, K. S. (2015). Make it our time: In class multitaskers have lower academic performance. Computers in Human Behavior, 53(12), 63-70. https://doi.org/10.1016/j.chb.2015.06.027

Bennett, R. J., & Robinson, S. L. (2000). Development of a measure of workplace deviance. Journal of Applied Psychology, 85(3), 349-360. https://doi.org/10.1037/0021-9010.85.3.349

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. https://doi.org/10.1016/j.chb.2007.03.008

Bohang, F. K. (2018, February 22). Berapa jumlah pengguna internet di Indonesia? [How many internet users in Indonesia?]. Kompas.com. https://bit.ly/2XiXjkB

Bowman, L. L., Levine, L. E., Waite, B. M., & Gendron, M. (2010). Can students really multitask? an experimental study of instant messaging while reading. Computers & Education, 54(4), 927-931. https://doi.org/10.1016/j.compedu.2009.09.024

Brooks, S. (2015). Does personal social media usage affect efficiency and well-being? Computers in Human Behavior, 46(5), 26-37. https://doi.org/10.1016/j.chb.2014.12.053

Clayson, D. E., & Haley, D. A. (2013). An introduction to multitasking and texting: Prevalence and impact on grades and GPA in marketing classes. Journal of Marketing Education, 35(1), 26-40. https://doi.org/10.1177/0273475312467339

Doleck, T., & Lajoie, S. (2018). Social networking and academic performance: A review. Education and Information Technologies, 23, 435-465. https://doi.org/10.1007/s10639-017-9612-3

Dunbar, D., Proeve, M., & Roberts, R. (2018). Problematic internet usage self-control dilemmas: The opposite effects of commitment and progress framing cues on perceived value of internet, academic and social behaviors. Computers in Human Behavior, 82(12), 16-33. https://doi.org/10.1016/j.chb.2017.12.039

Flanigan, A. E., & Kiewra, K. A. (2018). What college instructors can do about student cyber-slacking. Educational Psychology Review, 30(2), 585-597. https://doi.org/10.1007/s10648-017-9418-2

Gaudreau, P., Miranda, D., & Gareau, A. (2014). Canadian university students in wireless classrooms: What do they do on their laptops and does it really matter? Computers & Education, 70(1), 245-255. https://doi.org/10.1016/j.compedu.2013.08.019

Ghozali, I. (2011). Aplikasi analisis multivariate dengan program SPSS [Multivariate analysis application with the SPSS program]. BP Universitas Diponegoro.

Gökçearslan, Ş., Mumcu, F. K., Haşlaman, T., & Çevik, Y. D. (2016). Modelling smartphone addiction: The role of smartphone usage, self-regulation, general self-efficacy and cyberloafing in university students. Computers in Human Behavior, 63(10), 639-649. https://doi.org/10.1016/j.chb.2016.05.091

Hair, J. F., Anderson, R. E., Babin, B. J., & Black, W. C. (2018). Multivariate data analysis: A global perspective. 8th Edition. Pearson Education.

Hembrooke, H., & Gay, G. (2003). The laptop and the lecture: The effects of multitasking in learning environments. Journal of Computing in Higher Education, 15(3), 46-64. https://doi.org/10.1007/BF02940852

Junco, R., & Cotten, S. R. (2012). No A 4 U: The relationship between multitasking and academic performance. Computers & Education, 59(2), 505-514. https://doi.org/10.1016/j.compedu.2011.12.023

Kadıoǧlu, C., Uzuntiryaki, E., & Aydın, Y. Ç. (2011). Development of Self-Regulatory Strategies Scale (SRSS). Education and Science, 36(160), 11-23.

LaRose, R., & Eastin, M. S. (2004). A social cognitive theory of internet uses and gratifications: Toward a new model of media attendance. Journal of Broadcasting & Electron Media, 48(3), 358-377.   https://doi.org/10.1207/s15506878jobem4803_2

Lee, S. W. Y., & Tsai, C. C. (2011). Students’ perceptions of collaboration, self-regulated learning, and information seeking in the context of internet-based learning and traditional learning. Computers in Human Behavior, 27(2), 905-914. https://doi.org/10.1016/j.chb.2010.11.016

Le Roux, D. B., & Parry, D. A. (2017). In-lecture media use and academic performance: Does subject area matter? Computers in Human Behavior, 77(12), 86-94. https://doi.org/10.1016/j.chb.2017.08.030 

Lim, V. K. G. (2002). The IT way of loafing on the job: Cyberloafing, neutralizing and organizational justice. Journal of Organizational Behavior, 23(5), 675-694.  https://doi.org/10.1002/job.161

McCoy, B. R. (2016). Digital distractions in the classroom phase II: Student classroom use of digital devices for non-class related purposes. Journal of Media Education, 7(1), 5-32.

Ozhiganova, G. V. (2018). Self-regulation and self-regulatory capacities: components, levels, models. RUDN Journal of Psychology and Pedagogics, 15(3), 255-270. https://doi.org/10.22363/2313-1683-2018-15-3-255-270

Pellas, N. (2014). The influence of computer self-efficacy, metacognitive self-regulation and self-esteem on student engagement in online learning programs: Evidence from the virtual world of Second Life. Computers in Human Behavior, 35(6), 157-170. https://doi.org/10.1016/j.chb.2014.02.048

Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903. https://doi.org/10.1037/0021-9010.88.5.879

Rashid, T., & Asghar, H. M. (2016). Technology use, self-directed learning, student engagement and academic performance: examining the interrelations. Computers in Human Behavior, 63(10), 604-612. https://doi.org/10.1016/j.chb.2016.05.084

Ravizza, S. M., Hambrick, D. Z., & Fenn, K. M. (2014). Non-academic internet use in the classroom is negatively related to classroom learning regardless of intellectual ability. Computers & Education, 78(9), 109-114. https://doi.org/10.1016/j.compedu.2014.05.007

Sanbonmatsu, D. M., Strayer, D. L., Medeiros-Ward, N., & Watson, J. M. (2013). Who multi-tasks and why? multi-tasking ability, perceived multi-tasking ability, impulsivity, and sensation seeking. PLoS ONE, 8(1), e54402.
https://doi.org/10.1371/journal.pone.0054402

Schunk, D. H. (2020). Learning theories: an educational perspective (8th ed). Pearson Education.

Setiawan, W. Y. (2019). The impact of cyber-slacking on accounting students’ academic performance: A preliminary study. Review of Integrative Business and Economics Research, 8(2), 352-359.

Simanjuntak, E., Fajrianthi, Purwono, U., & Ardi, R. (2019). Skala cyberslacking pada mahasiswa [Cyberslacking scale in college students]. Psychology Journal/ Jurnal Psikologi, 18(1), 55-68.  https://doi.org/10.14710/jp.18.1.55-68

Ugrin, J. C., & Pearson, M. J. (2013). The effects of sanctions and stigmas on cyberloafing. Computers in Human Behavior, 29(3), 812-820. https://doi.org/10.1016/j.chb.2012.11.005

Varol, F., & Yildirim, E. (2018). An examination of cyberloafing behaviors in classrooms from students’ perspectives. Turkish Online Journal of Qualitative Inquiry, 9(1), 26-46.  https://doi.org/10.17569/tojqi.349800

Vitak, J., Crouse, J., & LaRose, R. (2011). Personal internet use at work: Understanding cyberslacking. Computers in Human Behavior, 27(5), 751-1759. https://doi.org/10.1016/j.chb.2011.03.002

Wentworth, D. K., & Middleton, J. H. (2014). Technology use and academic performance. Computers and Education, 78(9), 306-311. https://doi.org/10.1016/j.compedu.2014.06.012

Widiastuti, R., & Margaretha, M. (2016). Personality factors and cyberloafing of college students in Indonesia. International Journal of Applied Business and Research, 14(13), 9227-9238.

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. https://doi.org/10.1089/cyber.2017.0397

Wu, J. Y. (2015). University students’ motivated attention and use of regulation strategies on social media. Computers & Education, 89(11), 75-90. https://doi.org/10.1016/j.compedu.2015.08.016

Wu, J. Y. (2017). The indirect relationship of media multitasking self-efficacy on learning performance within the personal learning environment: Implications from the mechanism of perceived attention problems and self-regulation strategies. Computers & Education, 106(3), 56-72. https://doi.org/10.1016/j.compedu.2016.10.010

Yaşar, S., & Yurdugül, H. (2013). The investigation of relation between cyberloafing activities and cyberloafing behaviors in higher education. Procedia-Social and Behavioral Sciences, 83(6), 600-604. https://doi.org/10.1016/j.sbspro.2013.06.114

Yilmaz, K. F. G., Yilmaz, R., Ozturk, 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(4), 290-298. https://doi.org/10.1016/j.chb.2014.12.023

Yılmaz, R., & Yurdugül, H. (2018). Cyberloafing in IT classrooms: Exploring the role of the psycho-social environment in the classroom, attitude to computers and computing courses, motivation and learning strategies. Journal of Computing in Higher Education, 30(4), 530-552. https://doi.org/10.1007/s12528-018-9184-2

Zhang, W. (2015). Learning variables, in-class laptop multitasking and academic performance: A path analysis. Computers & Education, 81(2), 82-88. https://doi.org/10.1016/j.compedu.2014.09.012

Zimmerman, B. J., & Schunk, D. H. (2011). Handbook of Self-Regulation of Learning and Performance. Routledge-Taylor & Francis.

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