The Effectiveness of Self-Regulation Based Group Guidance in Reducing Students' Tendency Towards Excessive Digital Device Use

  • Firda Khoirotun Nisa Universitas PGRI Semarang, Indonesia
  • Chr. Argo Widiharto Universitas PGRI Semarang, Indonesia
  • Ellya Rakhmawati Universitas PGRI Semarang, Indonesia
Keywords: Adolescents, Digital Device Use, Group Guidance, Self-Regulation

Abstract

Excessive digital device use has become an increasing concern among students due to its negative effects on concentration, social interaction, and self-regulation. This study investigated the effectiveness of self-regulation-based group guidance in reducing students' tendency toward excessive digital device use. A quantitative quasi-experimental pretest–posttest control-group design was employed involving 16 junior secondary school students, who were equally assigned to experimental and control groups. Data were collected using the Digital Device Use Tendency Scale (Cronbach's α = .931) and analysed using tests of normality and homogeneity, paired-samples t-tests, and independent-samples t-tests. The experimental group demonstrated greater improvement than the control group, as reflected in a higher normalized gain score (50.38% vs. 43.49%) and a statistically significant difference between groups (p = .039). These findings suggest that self-regulation-based group guidance is effective in reducing students' tendency toward excessive digital device use and offers a promising school-based preventive intervention for promoting healthier digital behavior.

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References

Asosiasi Penyelenggara Jasa Internet Indonesia. (2024). Laporan Survei Internet Indonesia 2024. APJII. https://apjii.or.id/

Billieux, J. (2012). Problematic Use of the Mobile Phone: A Literature Review and a Pathways Model. Current Psychiatry Reviews, 8(4), 299–307. https://doi.org/10.2174/157340012803520522

Bond, M., Bedenlier, S., Marín, V. I., & Hände, M. (2021). Emergency Remote Teaching in Higher Education: Mapping the First Global Online Semester. International Journal of Educational Technology in Higher Education, 18(50), 1–24. https://doi.org/10.1186/s41239-021-00282-x

Busch, P. A., & McCarthy, S. (2021). Antecedents and Consequences of Problematic Smartphone Use: A Systematic Literature Review of An Emerging Research Area. Computers in Human Behavior, 114(1), 1–47. https://doi.org/10.1016/j.chb.2020.106414

Creswell, J. W., & Clark, V. L. P. (2017). Designing and Conducting Mixed Methods Research (H. Salmon (ed.); Third Edit). SAGE Publications. Google Books

Crompton, H., & Burke, D. (2018). The Use of Mobile Learning in Higher Education: A Systematic Review. Computers & Education, 123(1), 53–64. https://doi.org/10.1016/j.compedu.2018.04.007

Favini, A., Culcasi, F., Cirimele, F., Remondi, C., Plata, M. G., Caldaroni, S., Virzì, A. T., & Luengo Kanacri, B. P. (2024). Smartphone and social network addiction in early adolescents: The role of self-regulatory self-efficacy in a pilot school-based intervention. Journal of Adolescence, 96(3), 551–565. https://doi.org/10.1002/jad.12263

Gopalan, M., Rosinger, K., & Ahn, J. Bin. (2020). Chapter 8. Use of Quasi-Experimental Research Designs in Education Research: Growth, Promise, and Challenges. Review of Research in Education, 44(1), 218–243. https://doi.org/10.3102/0091732X20903302

Griffiths, M. (2005). A “components” model of addiction within a biopsychosocial framework. Journal of Substance Use, 10(4), 191–197. https://doi.org/10.1080/14659890500114359

Hamamura, T., Kurokawa, M., Mishima, K., Konishi, T., Nagata, M., & Honjo, M. (2023). Standalone Effects of Focus Mode and Social Comparison Functions On Problematic Smartphone Use among Adolescents. Addictive Behaviors, 147(1), 1–8. https://doi.org/10.1016/j.addbeh.2023.107834

Handayani, A., Yulianti, P. D., & Rakhmawati, E. (2023). Effectiveness of Web-based Parenting Intervention in Improving Mindful Parenting among Parents of Elementary School Aged Children. Bulletin of Counseling and Psychotherapy, 8(1), 1–10. https://doi.org/10.51214/002026081756000

Hartanto, A., Chua, Y. J., Quek, F. Y. X., Wong, J., Ooi, W. M., & Majeed, N. M. (2023). Problematic smartphone usage, objective smartphone engagement, and executive functions: A latent variable analysis. Attention, Perception, and Psychophysics, 85(8), 2610–2625. https://doi.org/10.3758/s13414-023-02707-3

Kemp, S. (2024). Digital 2024: Global Overview Report. DataReportal.

Li, Y., Ma, X., Li, C., & Gu, C. (2021). Self-Consistency Congruence and Smartphone Addiction in Adolescents: The Mediating Role of Subjective Well-Being and the Moderating Role of Gender. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.766392

Marino, C., Canale, N., Melodia, F., Spada, M. M., & Vieno, A. (2021). The Overlap Between Problematic Smartphone Use and Problematic Social Media Use: A Systematic Review. Current Addiction Reports, 8(1), 469–480. https://doi.org/10.1007/s40429-021-00398-0

Marmarosh, C. L. (2021). Ruptures and Repairs in Group Psychotherapy: From Theory to Practice. International Journal of Group Psychotherapy, 71(2), 205–223. https://doi.org/10.1080/00207284.2020.1855893

Nengsih, W., Handayani, A., & Rakhmawati, E. (2026). Pengaruh Bimbingan Kelompok Teknik Talking Chips Terhadap Pengambilan Keputusan Karir Pada Siswa SMA. Al-Isyraq: Jurnal Bimbingan, Penyuluhan dan Konseling Islam 9(1), 213–224. https://doi.org/10.59027/alisyraq.v%25vi%25i.1253

Pallant, J. (2020). SPSS survival manual: A step by step guide to data analysis using IBM SPSS. Routledge. https://doi.org/10.4324/9781003117452

Panadero, E. (2017). A Review of Self-Regulated Learning: Six Models and Four Directions for Research. Frontiers in Psychology, 28(8), 1–10. https://doi.org/10.3389/fpsyg.2017.00422

Rakhmawati, E., Yuliejatiningsih, Y., & Rakhmawati, D. (2024). Sexual Psychoeducation of Pre-School Children: Teachers’ Strategies and Barriers in Teaching Self-Protection. Bulletin of Counseling and Psychotherapy, 6(1), 1–12. https://doi.org/10.51214/00202406839000

Razali, N. M., & Wah, Y. B. (2011). Power comparisons of shapiro-wilk, kolmogorov-smirnov, lilliefors and anderson-darling tests. Journal of statistical modeling and analytics, 2(1), 21-33.

Rodman, A. M., Burns, J. A., Cotter, G. K., Ohashi, Y. G. B., Rich, R. K., & McLaughlin, K. A. (2024). Within-Person Fluctuations in Objective Smartphone Use and Emotional Processes During Adolescence: An Intensive Longitudinal Study. Affective Science, 5(4), 332–345. https://doi.org/10.1007/s42761-024-00247-z

Servidio, R. (2021). Self-control and problematic smartphone use among Italian University students: The mediating role of the fear of missing out and of smartphone use patterns. Current Psychology, 40(8), 4101–4111. https://doi.org/10.1007/s12144-019-00373-z

Siebers, T., Beyens, I., & Valkenburg, P. M. (2024). The Effects of Fragmented and Sticky Smartphone Use On Distraction and Task Delay. Mobile Media and Communication, 12(1), 45–70. https://doi.org/10.1177/20501579231193941

Sun, R., Gao, Q., & Xiang, Y. (2022). Perceived parental monitoring of smartphones and problematic smartphone use in adolescents: mediating roles of self-efficacy and self-control. Cyberpsychology, Behavior, and Social Networking, 25(12), 784-792. https://doi.org/10.1089/cyber.2022.0040

Tong, D. H., Nguyen, T.-T., Uyen, B. P., & Ngan, L. K. (2023). Using M-Learning in Teacher Education: A Systematic Review of Demographic Details, Research Methodologies, Pre-Service Teacher Outcomes, and Advantages and Challenges. Contemporary Educational Technology, 15(4), 1–17. https://doi.org/10.30935/cedtech/13818

Wang, H., Li, X., Lok, G. K. I., Meng, C., Tan, Y., Lee, U. M., Lei, L. S. M., & Chan, N. (2024). Family-based therapy for internet addiction among adolescents and young adults: A meta-analysis. Journal of Behavioral Addictions, 13(2), 295–312. https://doi.org/10.1556/2006.2024.00015

Widiharto, C. A., Kusdaryani, W., Fitriana, S., & Prasetyo, A. (2022). Academic resilience of students who are bullied. KnE Social Sciences, 289-298. https://doi.org/10.18502/kss.v7i19.12449

Winei, A. A. D., Wahyuningrum, P. M. E., & Karisma, E. (2024). The Effectiveness of Emotional Intelligence Psychoeducation on Learning Motivation, Self-Regulated Learning, and Procrastination in Students. Bulletin of Counseling and Psychotherapy, 7(2), 1–14. https://doi.org/10.51214/002025071406000

Xiao, B., Zhao, H., Hein-Salvi, C., Parent, N., & Shapka, J. D. (2025). Examining Self-Regulation and Problematic Smartphone Use in Canadian Adolescents: A Parallel Latent Growth Modeling Approach. Journal of Youth and Adolescence, 54(2), 468–479. https://doi.org/10.1007/s10964-024-02071-x

Xu, L., Duan, P., Padua, S. A., & Li, C. (2022). The impact of self-regulated learning strategies on academic performance for online learning during COVID-19. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.1047680

Zhang, H., Chen, C., Zhang, L., Xue, S., & Tang, W. (2023). The association between the deviation from balanced time perspective on adolescent pandemic mobile phone addiction: the moderating role of self-control and the mediating role of psychological distress. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1298256

Zhao, X., Lai, X., Huang, S., Li, Y., Dai, X., Wang, H., He, Y., & Wang, Y. (2024). Long-term protective effects of physical activity and self-control on problematic smartphone use in adolescents: A longitudinal mediation analysis. Mental Health and Physical Activity, 26. https://doi.org/10.1016/j.mhpa.2024.100585

Zimmerman, B. J. (2000). Attaining Self-Regulation. Handbook of Self-Regulation, 13–39. https://doi.org/10.1016/b978-012109890-2/50031-7

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

Published
2026-08-01
How to Cite
Nisa, F. K., Widiharto, C. A., & Rakhmawati, E. (2026). The Effectiveness of Self-Regulation Based Group Guidance in Reducing Students’ Tendency Towards Excessive Digital Device Use. Bulletin of Counseling and Psychotherapy, 8(2). https://doi.org/10.51214/002026082103000