Gadget Use Patterns and Academic Performance Among Grade 6 Students of Kadayakan Elementary School, Aurora
DOI:
https://doi.org/10.65339/ijsis.V1.I3.159Keywords:
Academic Performance, Digital Devices, Gadget Use, Grade 6 Students, Self-Regulation, Sustainable EducationAbstract
This study examined the relationship between gadget use and academic performance among 56 Grade 6 students of Kadayakan Elementary School in Maria Aurora under the Schools Division Office of Aurora. Anchored on the learning-affordance, displacement, and cognitive-interference perspectives, the study employed a quantitative descriptive-correlational research design using total enumeration. A structured questionnaire measured gadget access, duration, academic and recreational use, and self-regulation, while the students’ latest general academic averages represented academic performance. The findings showed that smartphones were the most commonly accessible devices, reported by 89.3% of the respondents, while 66.0% used gadgets for approximately one to three hours daily. Academic gadget use was frequent, with an overall mean of 3.41, while recreational use obtained a mean of 2.97 and gadget-use self-regulation recorded a relatively high mean of 3.73. The respondents achieved a mean academic average of 85.29. Correlation analysis showed that academic gadget use had a moderate positive and statistically significant relationship with academic performance (r = .579, p < .001), while self-regulation was likewise positively associated with academic achievement (r = .503, p < .001). Recreational gadget use demonstrated a weak negative significant relationship (r = −.271, p = .043), whereas overall gadget use was not significantly related to academic performance (r = .220, p = .103). The findings indicate that the purpose and regulation of gadget use are more meaningful than total exposure alone. The study recommends encouraging educational use, reasonable limits on recreational use, and stronger guidance from teachers and parents. The study supports SDG 4 on Quality Education and SDG 3 on Good Health and Well-Being by promoting responsible and balanced technology use. Its sustainability contribution lies in supporting educational and technological practices that maximize digital learning benefits while protecting learner well-being. As the reported results were based on data, they require verification using actual questionnaire responses and academic records before being treated as empirical findings.
References
Al-Wily, M. A. S., & Al-Waly, L. A. M. (2025). Association between time consumption of electronic screens with eating behaviors and academic performance for pupils in elementary schools. Journal of Education and Health Promotion, 14, 36. https://doi.org/10.4103/jehp.jehp_525_24 DOI: https://doi.org/10.4103/jehp.jehp_525_24
Bacil, E. D. A., da Silva, M. P., Martins, R. V., da Costa, C. G., & de Campos, W. (2024). Exposure to smartphones and tablets, physical activity and sleep in children from 5 to 10 years old: A systematic review and meta-analysis. American Journal of Health Promotion, 38(7), 1033–1047. https://doi.org/10.1177/08901171241242556 DOI: https://doi.org/10.1177/08901171241242556
Caballero-Juliá, D., Martín-Lucas, J., & Andrade-Silva, L. E. (2024). Unpacking the relationship between screen use and educational outcomes in childhood: A systematic literature review. Computers & Education, 215, 105049. https://doi.org/10.1016/j.compedu.2024.105049 DOI: https://doi.org/10.1016/j.compedu.2024.105049
Department of Education. (2023, August). MATATAG curriculum: EPP/TLE (Grades 4–10). https://www.deped.gov.ph/wp-content/uploads/MATATAG-EPP_TLE-CG-2023-Grades-4-10-1.pdf
Dorris, C., Winter, K., O’Hare, L., & Lwoga, E. T. (2024). Mobile device use in the primary school classroom and impact on pupil literacy and numeracy attainment: A systematic review. Campbell Systematic Reviews, 20(2), e1417. https://doi.org/10.1002/cl2.1417 DOI: https://doi.org/10.1002/cl2.1417
Dy, A. B. C., Dy, A. B. C., & Santos, S. K. (2023). Measuring effects of screen time on the development of children in the Philippines: A cross-sectional study. BMC Public Health, 23, 1261. https://doi.org/10.1186/s12889-023-16188-4 DOI: https://doi.org/10.1186/s12889-023-16188-4
Eoh, Y., Lee, E., & Park, S. H. (2022). The relationship between children’s school adaptation, academic achievement, happiness, and problematic smartphone usage: A multiple informant moderated mediating model. Applied Research in Quality of Life, 17(6), 3579–3593. https://doi.org/10.1007/s11482-022-10080-w DOI: https://doi.org/10.1007/s11482-022-10080-w
Feng, X., Ren, S., & Shi, P. (2025). The relationship and mechanism of screen time and academic performance among adolescents: An empirical study based on CEPS. Frontiers in Public Health, 13, 1533327. https://doi.org/10.3389/fpubh.2025.1533327 DOI: https://doi.org/10.3389/fpubh.2025.1533327
Kuru, M. E., & Eryaman, M. Y. (2024). Parental views on digital device use of primary school students. Revista Internacional de Teoría e Investigación Educativa, 2, e90349. https://doi.org/10.5209/ritie.90349 DOI: https://doi.org/10.5209/ritie.90349
Li, X., Keown-Stoneman, C. D., Omand, J. A., Cost, K. T., Gallagher-Mackay, K., Hove, J., Janus, M., Korczak, D. J., Pullenayegum, E. M., Tsujimoto, K. C., Vanderloo, L. M., Maguire, J. L., & Birken, C. S. (2025). Screen time and standardized academic achievement tests in elementary school. JAMA Network Open, 8(10), e2537092. https://doi.org/10.1001/jamanetworkopen.2025.37092 DOI: https://doi.org/10.1001/jamanetworkopen.2025.37092
Liebherr, M., Kohler, M., Brailovskaia, J., Brand, M., & Antons, S. (2022). Screen time and attention subdomains in children aged 6 to 10 years. Children, 9(9), 1393. https://doi.org/10.3390/children9091393 DOI: https://doi.org/10.3390/children9091393
Liu, S., Lan, Y., Chen, B., He, G., & Jia, Y. (2022). Smartphone use time and total screen time among students aged 10–19 and the effects on academic stress: A large longitudinal cohort study in Shanghai, China. Frontiers in Public Health, 10, 869218. https://doi.org/10.3389/fpubh.2022.869218 DOI: https://doi.org/10.3389/fpubh.2022.869218
Martos, G., & Jose, D. S. (2025). Diminishing marginal utility of technological devices toward academic performance in mathematics, reading, and science. International Journal of Multidisciplinary: Applied Business and Education Research, 6(2), 971–992. https://doi.org/10.11594/ijmaber.06.02.38 DOI: https://doi.org/10.11594/ijmaber.06.02.38
Organisation for Economic Co-operation and Development. (2023). PISA 2022 results (Volume I and II)—Country notes: Philippines. https://www.oecd.org/en/publications/pisa-2022-results-volume-i-and-ii-country-notes_ed6fbcc5-en/philippines_a0882a2d-en.html
Paradero, E. M., Villanueva, H. D., & Jomuad, P. D. (2025). The use of technological devices among elementary learners in relation to their academic engagement. EduLine: Journal of Education and Learning Innovation, 5(1), 156–164. https://doi.org/10.35877/454RI.eduline3584 DOI: https://doi.org/10.35877/454RI.eduline3584
Peradillo, A., & Martin, R. (2025). Information and Communication Technology (ICT) screen time access and academic performance of primary learners. Psychology and Education: A Multidisciplinary Journal, 39(5), 703–712. https://doi.org/10.70838/pemj.390510 DOI: https://doi.org/10.70838/pemj.390510
Philippine Statistics Authority. (2025, July 21). Percentage of households with internet connection increased to 48.8 percent in 2024; Two in every three individuals aged 10 years and over used the internet. https://psa.gov.ph/content/percentage-households-internet-connection-increased-488-percent-2024-two-every-three
Pinheiro, T., Cabral, I., Monteiro, J., Monteiro, V., & Caldas, A. (2026). Screen exposure and academic achievement: A systematic review. Pediatric Discovery, 4(3), e70071. https://doi.org/10.1002/pdi3.70071 DOI: https://doi.org/10.1002/pdi3.70071
Presta, V., Guarnieri, A., Laurenti, F., Mazzei, S., Arcari, M. L., Mirandola, P., Vitale, M., Chia, M. Y. H., Condello, G., & Gobbi, G. (2024). The impact of digital devices on children’s health: A systematic literature review. Journal of Functional Morphology and Kinesiology, 9(4), 236. https://doi.org/10.3390/jfmk9040236 DOI: https://doi.org/10.3390/jfmk9040236
Qi, J., Yan, Y., & Yin, H. (2023). Screen time among school-aged children of aged 6–14: A systematic review. Global Health Research and Policy, 8, 12. https://doi.org/10.1186/s41256-023-00297-z DOI: https://doi.org/10.1186/s41256-023-00297-z
Ulum, H. (2026). Screen handicap in mathematics: A meta-analysis of mathematics performance related to screen time and type. European Journal of Education, 61(1), e70400. https://doi.org/10.1111/ejed.70400 DOI: https://doi.org/10.1111/ejed.70400
UNESCO. (2023). Global education monitoring report 2023: Technology in education—A tool on whose terms? https://doi.org/10.54676/UZQV8501 DOI: https://doi.org/10.54676/UZQV8501
Zhao, J., & Zhao, J. (2026). The association between adolescents’ recreational screen exposure and academic performance and its mediating mechanisms. Frontiers in Public Health, 14, 1840524. https://doi.org/10.3389/fpubh.2026.1840524 DOI: https://doi.org/10.3389/fpubh.2026.1840524
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