Investigating the Influence of Social Media Usage on Students
Authors
Tirth Mange
Dept. of Computer Engineering, Shah and Anchor Kutchhi Engineering College, Mumbai, India (IN)
Gitika Mandal
Dept. of Computer Engineering, Shah and Anchor Kutchhi Engineering College, Mumbai, India (IN)
Harsh Gadhavi
Dept. of Computer Engineering, Shah and Anchor Kutchhi Engineering College, Mumbai, India (IN)
Tejas Bhanushali
Dept. of Computer Engineering, Shah and Anchor Kutchhi Engineering College, Mumbai, India (IN)
Atul Kachare
Assistant Professor, Dept. of Computer Engineering, SAKEC, Mumbai, India (IN)
Article Information
DOI: 10.51583/IJLTEMAS.2025.140600027
Subject Category: Primary Subject Area: Educational Technology, Secondary Subject Area: Mental Health / Psychology or Data Science / Survey Analysis
Volume/Issue: 14/6 | Page No: 205-210
Publication Timeline
Submitted: 2025-07-06
Published: 2025-07-05
Abstract
Abstract—This research investigates how social media us- age and study hours influence students’ academic performance and psychological well-being. Using multiple student-submitted datasets, we analyze behavioral patterns and academic outcomes through structured preprocessing, scoring, and visualization. The study finds that while social media correlates moderately with mental health indicators like anxiety and distraction, its direct relationship with grades remains weak and inconclusive due to self-reporting limitations. Our findings highlight key trends and offer insights for promoting balanced digital behavior.
Keywords
Social Media, Academic Performance, Mental Health, Student Behavior, Regression, Anxiety, Sleep, Distraction
Downloads
References
1. J. Cain, “It’s time to confront student mental health issues associated with smartphones and social media,” American Journal of Pharmaceu- tical Education, vol. 82, pp. 738–741, 2018. [Google Scholar] [Crossref]
2. L. Faelens, K. Hoorelbeke, R. Cambier, J. van Put, E. V. de Putte, R. D. Raedt, and E. H. Koster, “The relationship between instagram use and indicators of mental health: A systematic review,” 2021. [Google Scholar] [Crossref]
3. P. M. Valkenburg, A. Meier, and I. Beyens, “Social media use and its impact on adolescent mental health: An umbrella review of the evidence,” 2022. [Google Scholar] [Crossref]
4. Sala, L. Porcaro, and E. Go´mez, “Social media use and adolescents’ mental health and well-being: An umbrella review,” 2024. [Google Scholar] [Crossref]
5. R. M. S. Santos, S. de Alcaˆntara Ventura, Y. J. de Almeida Nogueira, [Google Scholar] [Crossref]
6. G. Mendes, J. J. de Paula, D. M. Miranda, and M. A. Romano-Silva, “The associations between screen time and mental health in adults: A systematic review,” Journal of Technology in Behavioral Science, 2024. [Google Scholar] [Crossref]
7. E. B. O’Day and R. G. Heimberg, “Social media use, social anxiety, and loneliness: A systematic review,” Computers in Human Behavior Reports, vol. 3, 2021. [Google Scholar] [Crossref]
8. L. Zhao, “The impact of social media use types and social media addiction on subjective well-being of college students: A comparative analysis of addicted and non-addicted students,” Computers in Human Behavior Reports, vol. 4, 2021. [Google Scholar] [Crossref]
9. P. Shorter, K. Turner, and J. Mueller-Coyne, “Attachment style’s impact on loneliness and the motivations to use social media,” Computers in Human Behavior Reports, vol. 7, p. 100212, 8 2022. [Google Scholar] [Crossref]
10. U. Tugtekin, E. B. Tugtekin, A. A. Kurt, and K. Demir, “Associations between fear of missing out, problematic smartphone use, and social networking services fatigue among young adults,” Social Media and Society, vol. 6, 2020. [Google Scholar] [Crossref]
11. D. Giancola, R. Travers, and S. Coulombe, “Scrolling through the covid-19 pandemic: Exploring the perceived effects of increased social media use on the mental health of undergraduate university students,” Social Media + Society, vol. 9, 4 2023. [Online]. Available: https://journals.sagepub.com/doi/10.1177/20563051231177970 [Google Scholar] [Crossref]
12. L. Ferris, E. E. Hollenbaugh, and P. A. Sommer, “Applying the uses and gratifications model to examine consequences of social media addiction,” Social Media and Society, vol. 7, 2021. [Google Scholar] [Crossref]
13. J. Iqbal, M. Z. Asghar, M. A. Ashraf, and M. Rafiq, “Social media networking sites usage and depression among university students during the covid-19 pandemic: The mediating roles of social anxiety and loneliness,” Social Media and Society, vol. 8, 2022. [Google Scholar] [Crossref]
14. M. Ahmad, S. Aftab, M. S. Bashir, N. Hameed, I. Ali, and Z. Nawaz, “Svm optimization for sentiment analysis,” International Journal of Advanced Computer Science and Applications, vol. 9, pp. 393–398, 2018. [Google Scholar] [Crossref]
15. C. Y. J. Peng, K. L. Lee, and G. M. Ingersoll, “An introduction to logistic regression analysis and reporting,” Journal of Educational Research, vol. 96, pp. 3–14, 2002. [Google Scholar] [Crossref]
16. E. C. Hurley, I. R. Williams, A. J. Tomyn, and L. Sanci, “Social media use among australian university students: Understanding links with stress and mental health,” Computers in Human Behavior Reports, vol. 14, 5 2024. [Google Scholar] [Crossref]
17. B. Alwuqaysi, A. Abdul-Rahman, and R. Borgo, “Cross-cultural study on social media usage and its correlation with mental health and family functioning,” Computers in Human Behavior Reports, vol. 16, p. 100513, 12 2024. [Google Scholar] [Crossref]
18. T. D. Adugna, A. Ramu, and A. Haldorai, “A review of pattern recognition and machine learning,” pp. 210–220, 1 2024. [Google Scholar] [Crossref]
19. S. Raschka, J. Patterson, and C. Nolet, “Machine learning in python: Main developments and technology trends in data science, machine learning, and artificial intelligence,” 4 2020. [Google Scholar] [Crossref]
Metrics
Views & Downloads
Similar Articles
- Most Advanced Construction Material for Typical Boilers
- Nutrigenetic Impact of PEMT Gene Polymorphism Rs7946 On Choline Metabolism and Its Role in Personalised Nutrition
- Evaluating the Influence Factors of Media on Investor Sentiment Towards Stock Market Investments.
- To Compare the Effectiveness of Manual Traction and Mechanical Traction in Patient with Cervicogenic Headache
- Is Green Human Resource Management the Newest Trend or A Strategic Necessity?