Scrolling vs Studying: Dampak Cyberloafing terhadap Student Engagement Mahasiswa dalam Perkuliahan Daring

Crossmark

Main Article Content


Abstract

The phenomenon of cyberloafing in online lectures has become an issue that can affect students’ academic engagement, particularly in the context of digital learning. Although this issue has received attention in educational studies and academic psychology, research that specifically examines the relationship between cyberloafing and student engagement among students who actively participate in online lectures still needs to be strengthened. This study aims to analyze the relationship between cyberloafing and student engagement among students undergoing online lectures. This study used a quantitative approach with a correlational design, involving 84 students selected through purposive sampling. Data were collected using a cyberloafing scale and a student engagement scale, and were then analyzed using Pearson Product-Moment correlation. The results showed that the level of cyberloafing was in the low-to-moderate category, with a mean score of M = 53.01 from a theoretical range of 20–100, whereas student engagement was in the moderate-to-high category, with a mean score of M = 76.52 from a theoretical range of 24–120. The correlation analysis results indicated a significant negative relationship between cyberloafing and student engagement, with r = -0.422 and p = 0.000. These findings indicate that the higher students’ involvement in non-academic activities during online lectures, such as accessing social media or playing games, the lower their engagement in learning. The conclusion of this study emphasizes the importance of controlling cyberloafing to maintain students’ academic engagement. The implications of this study suggest that lecturers and educational institutions should design more interactive online learning and encourage students’ self-regulation so that learning engagement can be maintained.

Keywords:
Share Article:

Citation Metrics:

Scopus

Downloads

Download data is not yet available.

Citation Metrics & Similar Scopus Articles

Data source Crossref
0
citations
Citation counts are source-specific and may differ because database coverage, reference matching, and update schedules are different. Counts are not added together. Crossref values represent citation links registered and matched by Crossref.
Check Secondary Documents in Scopus
Open this article in Scopus, then check the Secondary documents tab. Use Manual Citation Fallback only for counts you have verified manually.
Open in Scopus
Similar Scopus Articles
Scopus
  1. Artina F. (2027)
    Digital Literacy through a Web-Based Application: Addressing Polarization and Promoting Social Integration among Islamic Senior High School Students
    Asean Journal of Educational Research and Technology, 6(1), 51-66
  2. Prahani R.S.B.K. (2027)
    Problem-Based Learning Assisted by Physics Digital Pocket Book: Experimental Study to Enhance Students’ Critical Thinking Skills Completed with Bibliometric Analysis toward Sustainable Development Goals (SDGs)
    Asean Journal of Educational Research and Technology, 6(1), 15-34
  3. Thinwiangthong S. (2027)
    Biology and Health Education Curriculum on Liver Fluke Disease and Cholangiocarcinoma Prevention among Primary School Students in Endemic Areas to Support Sustainable Development Goals (SDGs): Bibliometric and Mixed-Methods Needs Analysis
    Asean Journal of Educational Research and Technology, 6(1), 127-152

Article Details

How to Cite
Az Zahra, F., & Santoso, I. (2026). Scrolling vs Studying: Dampak Cyberloafing terhadap Student Engagement Mahasiswa dalam Perkuliahan Daring. YASIN, 6(3), 2609-2603. https://doi.org/10.58578/yasin.v6i3.10044

References

Adedoyin, O. B., & Soykan, E. (2023). COVID-19 pandemic and online learning: The challenges and opportunities. Interactive Learning Environments, 31(2), 863–875. https://doi.org/10.1080/10494820.2020.1813180

Askew, K., Buckner, J. E., Taing, M. U., Ilie, A., Bauer, J. A., & Coovert, M. D. (2014). Explaining cyberloafing: The role of the theory of planned behavior. Computers in Human Behavior, 36, 510–519. https://doi.org/10.1016/j.chb.2014.04.006

Chen, M., & Zhang, X. (2024). Factors influencing internet addiction among university students: The mediating roles of self-control and anxiety. Acta Psychologica, 250, Article 104535. https://doi.org/10.1016/j.actpsy.2024.104535

Connell, J. P., & Wellborn, J. G. (1991). Competence, autonomy, and relatedness: A motivational analysis of self-system processes. In M. R. Gunnar & L. A. Sroufe (Eds.), Self processes and development: The Minnesota Symposia on Child Psychology (Vol. 23, pp. 43–77). Lawrence Erlbaum Associates. https://psycnet.apa.org/record/1991-97029-002

Deci, E. L., & Ryan, R. M. (2000). The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227–268. https://doi.org/10.1207/S15327965PLI1104_01

Dixson, M. D. (2015). Measuring student engagement in the online course: The Online Student Engagement Scale (OSE). Online Learning, 19(4), 143–157. https://doi.org/10.24059/olj.v19i4.561

Feni Haryati, L., & Nursaptini, N. (2021). Konferensi Video sebagai Alternatif Media Pembelajaran pada Masa Pandemi Covid-19. AL MA’ARIEF: Jurnal Pendidikan Sosial dan Budaya, 3(2), 85–91. https://doi.org/10.35905/almaarief.v3i2.2477

Handikasari, R. H., Jusuf, I., & Johan, A. (2018). Hubungan Intensitas Penggunaan Media Sosial dengan Gejala Depresi Mahasiswa Kedokteran: Studi pada Mahasiswa Kedokteran Tingkat Akhir yang Menggunakan Kurikulum Modul Terintegrasi. Diponegoro Medical Journal (Jurnal Kedokteran Diponegoro), 7(2), 919–934. https://ejournal3.undip.ac.id/index.php/medico/article/view/20790

Harnani, N., Amijaya, D. T., & Ahmadi, R. S. (2024). Kejenuhan Belajar Pengaruhnya terhadap Minat Belajar Mahasiswa selama Pandemi Covid-19. Techno-Socio Ekonomika, 17(1), 87–94. https://doi.org/10.32897/techno.2024.17.1.2860

Junco, R. (2012). Too much face and not enough books: The relationship between multiple indices of Facebook use and academic performance. Computers in Human Behavior, 28(1), 187–198. https://doi.org/10.1016/j.chb.2011.08.026

Kahu, E. R., & Nelson, K. (2018). Student engagement in the educational interface: Understanding the mechanisms of student success. Higher Education Research & Development, 37(1), 58–71. https://doi.org/10.1080/07294360.2017.1344197

Lu, X., Wang, Y., Chen, X., & Lu, Q. (2024). From stress to screen: Understanding cyberloafing through cognitive and affective pathways. Behavioral Sciences, 14(3), Article 249. https://doi.org/10.3390/bs14030249

Mark, G., Gudith, D., & Klocke, U. (2008). The cost of interrupted work: More speed and stress. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 107–110). ACM. https://doi.org/10.1145/1357054.1357072

Marks, H. M. (2000). Student engagement in instructional activity: Patterns in the elementary, middle, and high school years. American Educational Research Journal, 37(1), 153–184. https://doi.org/10.3102/00028312037001153

Muntean, C. I. (2011). Raising engagement in e-learning through gamification. In Proceedings of the 6th International Conference on Virtual Learning ICVL 2011 (pp. 323–329). https://doi.org/10.5281/zenodo.8133016

Mustofa, M. I., Chodzirin, M., Sayekti, L., & Fauzan, R. (2019). Formulasi Model Perkuliahan Daring sebagai Upaya Menekan Disparitas Kualitas Perguruan Tinggi. Walisongo Journal of Information Technology, 1(2), 151–160. https://doi.org/10.21580/wjit.2019.1.2.4067

Nopriyeni, N., Lestari, F. A., Irwandi, I., & Hartati, M. S. (2022). Efektifitas Pembelajaran Daring Berbasis Google Classroom pada Masa Covid-19 di Sekolah Menengah Atas. Edukatif: Jurnal Ilmu Pendidikan, 4(4), 6092–6100. https://doi.org/10.31004/edukatif.v4i4.3667

Prasad, S., Gupta, I. C., & Totala, N. K. (2017). Social media usage, electronic word of mouth and purchase-decision involvement. Asia-Pacific Journal of Business Administration, 9(2), 134–145. https://doi.org/10.1108/APJBA-06-2016-0063

Putri, M., Kuntarto, E., & Alirmansyah, A. (2021). Analisis Kesulitan Belajar Siswa dalam Pembelajaran Daring di Era Pandemi: Studi Kasus pada Siswa Kelas III Sekolah Dasar. AULADUNA: Jurnal Pendidikan Dasar Islam, 8(1), 91–108. https://doi.org/10.24252/auladuna.v8i1a8.2021

Reeve, J. (2012). A self-determination theory perspective on student engagement. In S. L. Christenson, A. L. Reschly, & C. Wylie (Eds.), Handbook of research on student engagement (pp. 149–172). Springer. https://doi.org/10.1007/978-1-4614-2018-7_7

Rohana, S. (2020). Model Pembelajaran Daring Pasca Pandemi Covid-19. At-Ta’dib: Jurnal Ilmiah Prodi Pendidikan Agama Islam, 12(2), 192–208. https://doi.org/10.47498/tadib.v12i02.441

Sarıtepeci, M., & Sert, U. (2021). Cyberloafing level of university students: A scale development study. Research on Education and Psychology, 5(1), 41–52. https://dergipark.org.tr/en/pub/rep/issue/63330/919481

Talan, T., Dogan, Y., & Kalinkara, Y. (2023). Relationships between smartphone addiction, academic performance, life satisfaction, hopelessness and cyberloafing among university undergraduate students. i-manager’s Journal of Educational Technology, 19(4), 24–36. https://doi.org/10.26634/jet.19.4.19429

Winarsunu, T. (2009). Statistik dalam penelitian psikologi dan pendidikan. UMM Press.

Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. Theory Into Practice, 41(2), 64–70. https://doi.org/10.1207/s15430421tip4102_2

Most read articles by the same author(s)