Impact of Compulsive Smartphone Usage on Academic Functioning of Adolescents
Authors
Department of Psychology, Barkatullah University, Bhopal, Madhya Pradesh (India)
Department of Psychology, Barkatullah University, Bhopal, Madhya Pradesh (India)
Article Information
DOI: 10.47772/IJRISS.2026.1017PSY0005
Subject Category: Psychology
Volume/Issue: 10/17 | Page No: 95-106
Publication Timeline
Submitted: 2026-02-01
Accepted: 2026-02-07
Published: 2026-02-17
Abstract
The objective of the present study was to examine the relationship between Compulsive Smartphone Usage (CSU) and Academic Functioning among adolescents, framed within Self Determination Theory. A total of 247 class 12th students were selected via stratified random sampling from CBSE-affiliated schools in Bhopal, Madhya Pradesh. Participants responded to a structured survey comprising demographic information, the Compulsive Smartphone Use Scale (CSUS), and a researcher-designed Academic Functioning Scale (AFS). ANOVA results revealed a significant main effect of academic stream on CSU, with Arts-Commerce students reporting higher compulsive smartphone use than Science students, primarily on technological and psychological dimensions. Gender showed no significant main effect on total CSU. However, it significantly impacted objective performance with female students consistently achieving higher CGPA and have reported greater mental health distress. Stepwise regression analysis identified "Time and Overuse" as the primary predictor of academic functioning. Finally, the Psychological/Social component negatively affected the objective performance of students in terms of 11th-grade students in terms of decline in CGPA scores. The study identifies a critical "Perception-Performance Gap," where Arts-Commerce students credit smartphones for academic management. Implications are discussed regarding the necessity for digital wellbeing interventions that address the digital surrogate role of smartphones for autonomy, competence, and relatedness in high-pressure academic environments.
Keywords
Compulsive Smartphone Usage (CSU), Academic Functioning, Self-Determination Theory, Perception-Performance Gap, Digital Wellbeing.
Downloads
References
1. Bain, C. D., & Rice, M. L. (2006). The influence of gender on attitudes, perceptions, and uses of technology. Journal of Research on Technology in Education, 39(2), 119–132. https://doi.org/10.1080/15391523.2006.10782476 [Google Scholar] [Crossref]
2. Birrell, L., Werner-Seidler, A., Davidson, L., Andrews, J. L., & Slade, T. (2025). Social connection as a key target for youth mental health. Mental Health & Prevention, 37, 200395. https://doi.org/10.1016/j.mhp.2025.200395 [Google Scholar] [Crossref]
3. Ganz, A., & Mitchell-Bennett, C. (2025). Ambivalent Technologies: Everyday Life and Digital Practices in the Matamoros Refugee Camp. Global Studies Quarterly, 5(3). https://doi.org/10.1093/isagsq/ksaf049 [Google Scholar] [Crossref]
4. George, D. (2024). Technology Tension in schools: Addressing the complex impacts of digital advances on teaching, learning, and wellbeing. Zenodo (CERN European Organization for Nuclear Research). https://doi.org/10.5281/zenodo.13743163 [Google Scholar] [Crossref]
5. Gui, M., Gerosa, T., Argentin, G., & Losi, L. (2022). Mobile media education as a tool to reduce problematic smartphone use: Results of a randomised impact evaluation. Computers & Education, 194, 104705. https://doi.org/10.1016/j.compedu.2022.104705 [Google Scholar] [Crossref]
6. Hanham, J., Lee, C. B., & Teo, T. (2021). The influence of technology acceptance, academic self efficacy, and gender on academic achievement through online tutoring. Computers & Education, 172, 104252. https://doi.org/10.1016/j.compedu.2021.104252 [Google Scholar] [Crossref]
7. Hashemi, A., Noori, A. Q., Orfan, S. N., Akramy, S. A., & Rameli, M. R. M. (2024). Undergraduate students’ perception of smartphone addiction and its impact on themselves and their academic performance: a case study. Cogent Education, 11(1). https://doi.org/10.1080/2331186x.2024.2340845 [Google Scholar] [Crossref]
8. Hsieh, C. (2025). The impact of smartphone usage frequency on university students’ academic performance: A meta-analysis of moderating factors. Acta Psychologica, 259, 105374. https://doi.org/10.1016/j.actpsy.2025.105374 [Google Scholar] [Crossref]
9. Iyengar, K., Upadhyaya, G. K., Vaishya, R., & Jain, V. (2020). COVID-19 and applications of smartphone technology in the current pandemic. Diabetes & Metabolic Syndrome Clinical Research & Reviews, 14(5), 733–737. https://doi.org/10.1016/j.dsx.2020.05.033 [Google Scholar] [Crossref]
10. Jain, A., & Dutta, D. (2019). Millennials and gamification: Guerilla tactics for making learning fun. South Asian Journal of Human Resources Management, 6(1), 29-44. http://journals.sagepub.com/home/hrm [Google Scholar] [Crossref]
11. Javed, S., Khan, A., Bhatti, Y., & Danish, M. (2025). Effects of smart phone dependency on academic performance among BSN students at Sahara Nursing College Narowal. ResearchGate. https://doi.org/10.64105/xbstgc05 [Google Scholar] [Crossref]
12. Jeno, L. M., Adachi, P. J., Grytnes, J. A., Vandvik, V., & Deci, E. L. (2019). The effects of m‐learning on motivation, achievement and well‐being: A Self‐Determination Theory approach. British Journal of Educational Technology, 50(2), 669-683. https://selfdeterminationtheory.org [Google Scholar] [Crossref]
13. Kwon, M., Kim, D., Cho, H., & Yang, S. (2013). The Smartphone Addiction Scale: Development and Validation of a short version for Adolescents. PLoS ONE, 8(12), e83558. https://doi.org/10.1371/journal.pone.0083558 [Google Scholar] [Crossref]
14. Liu, J., Zhang, Y., Zhang, Y., & Wang, Q. (2025). The relationship between social support and smartphone addiction among Chinese college students: the mediating role of loneliness and the moderating role of meaning in life. Frontiers in Public Health, 13, 1671800. https://doi.org/10.3389/fpubh.2025.1671800 [Google Scholar] [Crossref]
15. Mandolessi, S. (2024). Memory in the digital age. Open Research Europe, 3, 123. https://doi.org/10.12688/openreseurope.16228.2 [Google Scholar] [Crossref]
16. Marvi, R., Foroudi, P., & AmirDadbar, N. (2025). Dynamics of user engagement: AI mastery goal and the paradox mindset in AI–employee collaboration. International Journal of Information Management, 83, 102908. https://doi.org/10.1016/j.ijinfomgt.2025.102908 [Google Scholar] [Crossref]
17. Montolio, D., & Taberner, P. A. (2018). Gender differences under test pressure and their impact on academic performance: A Quasi-Experimental Design. Journal of Economic Behavior & Organization, 191, 1065–1090. https://doi.org/10.2139/ssrn.3296211 [Google Scholar] [Crossref]
18. Nawaz, S., Bhowmik, J., Linden, T., & Mitchell, M. (2024). Adapting to the new normal: Understanding the impact of COVID-19 on technology usage and human behaviour. Entertainment Computing, 51, 100726. https://doi.org/10.1016/j.entcom.2024.100726 [Google Scholar] [Crossref]
19. Rudolf, R., & Kim, N. (2024). Smartphone use, gender, and adolescent mental health: Longitudinal evidence from South Korea. SSM - Population Health, 28, 101722. https://doi.org/10.1016/j.ssmph.2024.101722 [Google Scholar] [Crossref]
20. Sharma, P., Saxena, N., Shrestha, Tripathy, M., & Vishvakarma, S. (2024). Resilience levels of male and female undergraduate students at DEV Sanskriti Vishwavidyalaya: A Comparative analysis. Zenodo (CERN European Organization for Nuclear Research). https://doi.org/10.5281/zenodo.11527360 [Google Scholar] [Crossref]
21. Talaifar, S., & Lowery, B. S. (2022). Freedom and Constraint in digital environments: Implications for the self. Perspectives on Psychological Science, 18(3), 544–575. https://doi.org/10.1177/17456916221098036 [Google Scholar] [Crossref]
22. Timotheou, S., Miliou, O., Dimitriadis, Y., Sobrino, S. V., Giannoutsou, N., Cachia, R., Monés, A. M., & Ioannou, A. (2022). Impacts of digital technologies on education and factors influencing schools’ digital capacity and transformation: A literature review. Education and Information Technologies, 28(6), 6695–6726. https://doi.org/10.1007/s10639-022-11431-8 [Google Scholar] [Crossref]
23. Troche, D., Boumadan, M., & Gómez, M. (2025). Digital Competence as Psychological defense: Impact of digital competence on problematic mobile use among Paraguayan university students. Behavioral Sciences, 15(12), 1687. https://doi.org/10.3390/bs15121687 [Google Scholar] [Crossref]
24. Wang, J. C., Hsieh, C., & Kung, S. (2022). The impact of smartphone use on learning effectiveness: A case study of primary school students. Education and Information Technologies, 28(6), 6287– 6320.https://doi.org/10.1007/s10639-022-11430-9 [Google Scholar] [Crossref]
25. West, M., Rice, S., & Vella-Brodrick, D. (2024). Adolescent Social Media Use through a Self Determination Theory Lens: A Systematic Scoping Review. International Journal of Environmental Research and Public Health, 21(7), 862. https://doi.org/10.3390/ijerph21070862 [Google Scholar] [Crossref]
26. Yadav, N. (2024). The impact of digital learning on education. International Journal of Multidisciplinary Research in Arts Science and Technology, 2(1), 24–34. https://doi.org/10.61778/ijmrast.v2i1.34 [Google Scholar] [Crossref]
27. Yildirim, C., & Correia, A. (2015). Exploring the dimensions of nomophobia: Development and validation of a self-reported questionnaire. Computers in Human Behavior, 49, 130–137. https://doi.org/10.1016/j.chb.2015.02.059 [Google Scholar] [Crossref]
28. Zhang, J., & Zeng, Y. (2024). Effect of college students’ smartphone addiction on academic achievement: the mediating role of academic anxiety and moderating role of sense of academic control. Psychology Research and Behavior Management, Volume 17, 933–944. https://doi.org/10.2147/prbm.s442924 [Google Scholar] [Crossref]
29. Zhu, C., Li, S., & Zhang, L. (2025). The impact of smartphone addiction on mental health and its relationship with life satisfaction in the post-COVID-19 era. Frontiers in Psychiatry, 16, 1542040. https://doi.org/10.3389/fpsyt.2025.1542040 [Google Scholar] [Crossref]
Metrics
Views & Downloads
Similar Articles
- A Comparative Study of Adjustment Level, Parental Income and Academic Achievement of Adolescent Girls
- Increase in STIs among Adolescents in Masvingo District
- A Correlation between SDG 4 (Quality Education) and Emotional Disposition of Teacher Educators in Hyderabad District
- Ear Piercing Behaviour and Self-Esteem among Male University Students in Nigeria
- A Study of Religiosity and Psychological Well-Being