Digital Device Usage Patterns, Social-Emotional Functioning, and Elementary Students’ Learning Outcomes
Evidence from Indonesia
DOI:
https://doi.org/10.56741/IISTR.ijlree.002204
Keywords:
Digital Device, Elementary School, Learning Outcomes, Social-Emotional, Usage Patterns
Abstract
Digital devices have become an integral part of primary school students' daily lives, while social-emotional functioning is increasingly recognized as an important factor in academic development. This study aimed to examine the relationship between digital device use patterns, social-emotional functioning, and academic achievement among fifth-grade primary school students. The study employed a quantitative cross-sectional correlational design involving 29 students selected through total sampling. Data were collected using two closed-ended Likert-scale questionnaires and students' summative academic scores. The digital device use questionnaire retained 17 valid items, while the social-emotional questionnaire retained 14 valid items. The data were analyzed using descriptive statistics, validity and reliability testing, Shapiro–Wilk normality, linearity testing, and simple as well as multiple regression analyses. The findings showed that digital device use patterns were significantly associated with academic achievement in the simple model (p = 0.036), and social-emotional functioning was also significantly associated with academic achievement (p = 0.018). However, when both predictors were tested simultaneously, the model did not reach statistical significance (p = 0.056). These findings indicate that digital device use and social-emotional functioning are each related to students' learning outcomes, although their combined contribution was not confirmed in the present model. The study highlights the importance of understanding digital device use contextually and strengthening students' social-emotional functioning to support learning in primary education.
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References
UNICEF, “Digital learning landscape in Indonesia: A situational analysis on digital learning.” 2021. [Online]. Available: https://www.unicef.org/indonesia/media/8766/file/DigitalLearningLandscapeinIndonesia.pdf
K. Nett, “Screen time and educational outcomes of children and adolescents: A complex, multifaceted relationship.” Luxembourg, 2025. https://education-socioeconomic-experts.ec.europa.eu/publications/ad-hoc-reports-and-other-publications/screen-time-and-educational-outcomes-children-and-adolescents-complex-multifaceted-relationship_en.
T. Munzer et al., “Digital ecosystems, children, and adolescents: Policy statement,” Pediatrics, vol. 157, no. 2, e2025075320, Feb. 2026, doi: 10.1542/peds.2025-075320. DOI: https://doi.org/10.1542/peds.2025-075320
S. Teague et al., “Digital media use and child health and development,” JAMA Pediatr., vol. 180, no. 5, pp. 510-517, Mar. 2026, doi: 10.1001/jamapediatrics.2026.0085. DOI: https://doi.org/10.1001/jamapediatrics.2026.0085
OECD, “Students, digital devices and success,” 2024. [Online]. Available: https://www.oecd.org/en/publications/students-digital-devices-and-success_9e4c0624-en.html
OECD, “PISA 2022 results (volume II) learning during – and from – disruption,” 2022. [Online]. Available: https://www.oecd.org/en/publications/pisa-2022-results-volume-ii_a97db61c-en.html
M. Adelantado-Renau, D. Moliner-Urdiales, I. Cavero-Redondo, M. R. Beltran-Valls, V. Martínez-Vizcaíno, and C. Álvarez-Bueno, “Association between screen media use and academic performance among children and adolescents,” JAMA Pediatr., vol. 173, no. 11, pp. 1058-1067, Nov. 2019, doi: 10.1001/jamapediatrics.2019.3176. DOI: https://doi.org/10.1001/jamapediatrics.2019.3176
X. Li et al., “Screen time and standardized academic achievement tests in elementary school,” JAMA Netw. Open, vol. 8, no. 10, e2537092, Oct. 2025, doi: 10.1001/jamanetworkopen.2025.37092. DOI: https://doi.org/10.1001/jamanetworkopen.2025.37092
L. K. Mundy et al., “Electronic media use and academic performance in late childhood: A longitudinal study,” PLoS One, vol. 15, no. 9, e0237908, Sep. 2020, doi: 10.1371/journal.pone.0237908. DOI: https://doi.org/10.1371/journal.pone.0237908
T. Sanders, P. D. Parker, B. del Pozo-Cruz, M. Noetel, and C. Lonsdale, “Type of screen time moderates effects on outcomes in 4013 children: Evidence from the longitudinal study of Australian children,” Int. J. Behav. Nutr. Phys. Act., vol. 16, no. 1, e 117, Dec. 2019, doi: 10.1186/s12966-019-0881-7. DOI: https://doi.org/10.1186/s12966-019-0881-7
M. Gath, L. J. Horwood, G. Gillon, B. McNeill, and L. J. Woodward, “Longitudinal associations between screen time and children’s language, early educational skills, and peer social functioning.,” Dev. Psychol., vol. 62, no. 3, pp. 638–652, Mar. 2026, doi: 10.1037/dev0001907. DOI: https://doi.org/10.1037/dev0001907
S. Mallawaarachchi et al., “Early childhood screen use contexts and cognitive and psychosocial outcomes,” JAMA Pediatr., vol. 178, no. 10, pp. 1017-1026, Oct. 2024, doi: 10.1001/jamapediatrics.2024.2620. DOI: https://doi.org/10.1001/jamapediatrics.2024.2620
N. Stiglic and R. M. Viner, “Effects of screentime on the health and well-being of children and adolescents: A systematic review of reviews,” BMJ Open, vol. 9, no. 1, e023191, 2019, doi: 10.1136/bmjopen-2018-023191. DOI: https://doi.org/10.1136/bmjopen-2018-023191
S. J. Howard et al., “A meta-analysis of self-regulation and digital recreation from birth to adolescence,” Comput. Human Behav., vol. 163, e108472, Feb. 2025, doi: 10.1016/j.chb.2024.108472. DOI: https://doi.org/10.1016/j.chb.2024.108472
B. Carter, P. Rees, L. Hale, D. Bhattacharjee, and M. S. Paradkar, “Association between portable screen-based media device access or use and sleep outcomes,” JAMA Pediatr., vol. 170, no. 12, pp. 1202-1208, Dec. 2016, doi: 10.1001/jamapediatrics.2016.2341. DOI: https://doi.org/10.1001/jamapediatrics.2016.2341
T. Kliesener, C. Meigen, W. Kiess, and T. Poulain, “Associations between problematic smartphone use and behavioural difficulties, quality of life, and school performance among children and adolescents,” BMC Psychiatry, vol. 22, no. 1, e195, Dec. 2022, doi: 10.1186/s12888-022-03815-4. DOI: https://doi.org/10.1186/s12888-022-03815-4
A. Paterna, M. Alcaraz-Ibáñez, J. M. Aguilar-Parra, C. Salavera, Z. Demetrovics, and M. D. Griffiths, “Problematic smartphone use and academic achievement: A systematic review and meta-analysis,” J. Behav. Addict., vol. 13, no. 2, pp. 313–326, Jun. 2024, doi: 10.1556/2006.2024.00014. DOI: https://doi.org/10.1556/2006.2024.00014
R. M. S. Santos, C. G. Mendes, D. M. Miranda, and M. A. Romano-Silva, “The association between screen time and attention in children: A systematic review,” Dev. Neuropsychol., vol. 47, no. 4, pp. 175–192, May 2022, doi: 10.1080/87565641.2022.2064863. DOI: https://doi.org/10.1080/87565641.2022.2064863
R. Bao et al., “Is adherence to the 24-h movement guidelines associated with greater academic-related outcomes in children and adolescents? A systematic review and meta-analysis,” Eur. J. Pediatr., vol. 183, no. 5, pp. 2003–2014, Feb. 2024, doi: 10.1007/s00431-024-05461-2. DOI: https://doi.org/10.1007/s00431-024-05461-2
M. Toledo-Vargas, K. H. Chong, C. I. Maddren, S. J. Howard, B. Wakefield, and A. D. Okely, “Parental technology use in a child’s presence and health and development in the early years: A systematic review and meta-analysis,” JAMA Pediatr., vol. 179, no. 7, pp. 730-737, Jul. 2025, doi: 10.1001/jamapediatrics.2025.0682. DOI: https://doi.org/10.1001/jamapediatrics.2025.0682
CASEL, “What is the CASEL framework? A framework creates a foundation for applying evidence-based SEL strategies to your community.,” CASEL. [Online]. Available: https://casel.org/fundamentals-of-sel/what-is-the-casel-framework
J. A. Durlak, R. P. Weissberg, A. B. Dymnicki, R. D. Taylor, and K. B. Schellinger, “The impact of enhancing students’ social and emotional learning: A meta-analysis of school-based universal interventions,” Child Dev., vol. 82, no. 1, pp. 405–432, Jan. 2011, doi: 10.1111/j.1467-8624.2010.01564.x. DOI: https://doi.org/10.1111/j.1467-8624.2010.01564.x
C. Cipriano et al., “The state of evidence for social and emotional learning: A contemporary meta-analysis of universal school-based SEL interventions,” Child Dev., vol. 94, no. 5, pp. 1181–1204, Sep. 2023, doi: 10.1111/cdev.13968. DOI: https://doi.org/10.1111/cdev.13968
C. Ha, M. F. McCarthy, M. J. Strambler, and C. Cipriano, “Disentangling the effects of social and emotional learning programs on student academic achievement across grades 1–12: A systematic review and meta-analysis,” Rev. Educ. Res., e00346543251367769, Oct. 2025, doi: 10.3102/00346543251367769. DOI: https://doi.org/10.3102/00346543251367769
E. J. Carpendale et al., “Promoting effective transitions: Primary school social–emotional competencies predict secondary school reading and numeracy achievement,” Br. J. Educ. Psychol., vol. 95, no. 2, pp. 496–512, Jun. 2025, doi: 10.1111/bjep.12735. DOI: https://doi.org/10.1111/bjep.12735
OECD, Social and emotional skills for better lives findings from the OECD survey on social and emotional skills 2023. Paris: OECD Publishing, 2024. doi: 10.1787/35ca7b7c-en. DOI: https://doi.org/10.1787/35ca7b7c-en
A. Orben and A. K. Przybylski, “The association between adolescent well-being and digital technology use,” Nat. Hum. Behav., vol. 3, no. 2, pp. 173–182, Jan. 2019, doi: 10.1038/s41562-018-0506-1. DOI: https://doi.org/10.1038/s41562-018-0506-1
C. L. Odgers and M. R. Jensen, “Annual research review: Adolescent mental health in the digital age: Facts, fears, and future directions,” J. Child Psychol. Psychiatry, vol. 61, no. 3, pp. 336–348, Mar. 2020, doi: 10.1111/jcpp.13190. DOI: https://doi.org/10.1111/jcpp.13190
R. P. Vasconcellos et al., “Electronic screen use and children’s socioemotional problems: A systematic review and meta-analysis of longitudinal studies.,” Psychol. Bull., vol. 151, no. 5, pp. 513–543, May 2025, doi: 10.1037/bul0000468. DOI: https://doi.org/10.1037/bul0000468
R. Eirich, B. A. McArthur, C. Anhorn, C. McGuinness, D. A. Christakis, and S. Madigan, “Association of screen time with internalizing and externalizing behavior problems in children 12 years or younger,” JAMA Psychiatry, vol. 79, no. 5, pp. 393-405, May 2022, doi: 10.1001/jamapsychiatry.2022.0155. DOI: https://doi.org/10.1001/jamapsychiatry.2022.0155
W. Jia, X. Deng, and H. Zeng, “The association between screen exposure and social–emotional development in children and adolescents: A meta-analysis,” Acta Psychol. (Amst)., vol. 261, e105818, Nov. 2025, doi: 10.1016/j.actpsy.2025.105818. DOI: https://doi.org/10.1016/j.actpsy.2025.105818
UNESCO, “Technology in education,” 2023. [Online]. Available: https://www.unesco.org/gem-report/en/publication/technology
APJII, “Profil internet Indonesia 2026 (Indonesia internet profil 2026),” 2026. [Online]. Available: https://survei.apjii.or.id/survei/group/12
BPS, Statistik telekomunikasi Indonesia 2024 (Indonesian telecommunications statistics). Badan Pusat Statistik, 2025. [Online]. Available: https://www.bps.go.id/id/publication/2025/08/29/beaa2be400eda6ce6c636ef8/statistik-telekomunikasi-indonesia-2024
J. C. Wang, C.-Y. Hsieh, and S.-H. Kung, “The impact of smartphone use on learning effectiveness: A case study of primary school students,” Educ. Inf. Technol., vol. 28, no. 6, pp. 6287–6320, Jun. 2023, doi: 10.1007/s10639-022-11430-9. DOI: https://doi.org/10.1007/s10639-022-11430-9
R. D. Taylor, E. Oberle, J. A. Durlak, and R. P. Weissberg, “Promoting Positive Youth Development Through School-Based Social and Emotional Learning Interventions: A Meta-Analysis of Follow-Up Effects,” Child Dev., vol. 88, no. 4, pp. 1156–1171, 2017, doi: 10.1111/cdev.12864. DOI: https://doi.org/10.1111/cdev.12864
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