International Journal of the Humanities and Social Sciences

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PANTAO, an International Journal of the Humanities and Social Sciences, with ISSN 3028-0877, is an annual journal that serves as a scholarly platform dedicated to the exploration and dissemination of research in the disciplines of humanities and social sciences.

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Authors

Jun M. Suico*
San Remigio National High School
Poblacion, San Remigio, Cebu, Philippines
Email: jun.suico001@gmail.com

Nolasco K. Malabago
Cebu Technological University – Main Campus
M.J. Cuenco Cebu City, Philippines

Abstract

The rapid growth of digital technologies in the senior high school classroom creates unique development-related challenges, especially digital distractions that can interrupt students’ attention. This study is situated in the concept of Development Education, and it investigates the ways that digital distractions in technology-integrated learning environments predict student attention in Grade 11 students at San Remigio National High School. Using a quantitative descriptive–correlational research design, data were gathered from fifteen purposively selected respondents using a researcher-developed questionnaire that measured digital distractions (social media use, messaging applications, online gaming and entertainment, and non-academic internet browsing) and student attention (sustained attention, selective attention, and attentional control). The descriptive statistics and inferential analysis are used to analyze and interpret the data. Results suggested that students report little time spent on overt non-academic digital activity in class, whereas passive distractors such as notifications and entertainment-related content were believed to negatively affect attention. Results also suggested that sustained attention and attentional control were moderate, but selective attention was low in technology-rich classrooms. Digital distractions were statistically significantly associated with student attention and were found to be significant by use of statistical means, proving that digital distractions can predict attention levels of students. These results reinforce the notion that digital distractions represent not only a behavioral problem of the individual but also a systemic developmental problem for a class, influenced by class settings, school policies, and their self-regulation. This study highlights the development-sensitive interventions, such as developing policies on responsible technology use, optimizing instructional design, and promoting digital self-regulation to enable the integration of technology to positively affect, rather than impede the learning process in a school’s senior high system.

Keywords: Digital distractions, student attention, Technology-Integrated classrooms, development education, Senior High School, digital self-regulation, responsible technology use

*Corresponding author
DOI: http://doi.org/10.69651/PIJHSS0501728

Recommended citation:
Suico, J. M., & Malabago, N. K. (2026). Digital distractions as a development issue affecting student attention in Technology Integrated Senior High School Classrooms. Pantao (The International Journal of the Humanities and Social Sciences) 5 (1), 8037-8047. http://doi.org/10.69651/PIJHSS0501728

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References

Al-Abyadh, M. H., Alqahtani, A. S., & Alzahrani, S. S. (2024). Self-regulation strategies and attentional control in technology-integrated learning environments. Education and Information Technologies, 29(2), 1897–1916. https://doi.org/10.1007/s10639-023-11942-7

Blumberg, F. C., Deater-Deckard, K., & Hummer, J. F. (2022). Self-regulation, digital media use, and attention in adolescents. Journal of Applied Developmental Psychology, 79, 101381. https://doi.org/10.1016/j.appdev.2022.101381

Chen, Q., & Yan, Z. (2022). Does multitasking with social media undermine adolescents’ learning? Computers in Human Behavior, 128, 107114. https://doi.org/10.1016/j.chb.2021.107114

Christodoulou, C., Nikolaou, K., & Spanoudis, G. (2025). Passive smartphone presence and attentional control: Automatic attentional shifts in learning contexts. Journal of Experimental Education, 93(1), 67–84.

Deng, L. (2024). Self-regulated learning and attentional stability in technology-rich classrooms. Educational Technology Research and Development, 72(1), 215–233. https://doi.org/10.1007/s11423-023-10245-9

Dindar, M., Akbulut, Y., & Ozan, O. (2022). Multitasking, cognitive load, and sustained attention among adolescents: The role of messaging applications. Computers in Human Behavior, 127, 107049. https://doi.org/10.1016/j.chb.2021.107049

El-Badramany, A. M., Hassan, R. A., & Abdelrahman, H. M. (2023). Effects of cognitive self-regulation training on attentional control and impulsivity among secondary students. Journal of Educational Psychology, 115(6), 1123–1139. https://doi.org/10.1037/edu0000812

Eldarov, M. (2025). Digital technology use, self-regulation, and attention in secondary education. Learning and Instruction, 90, 101865.

Gallen, C. L., Smith, J. L., & Kosslyn, S. M. (2023). Sustained attention as a predictor of academic skill acquisition in adolescents. Journal of Educational Psychology, 115(4), 689–703. https://doi.org/10.1037/edu0000754

Gheller, F., McCarthy, M., & Dockrell, J. E. (2023). The impact of classroom noise on children’s cognitive performance and selective attention. Journal of Environmental Psychology, 86, 101963. https://doi.org/10.1016/j.jenvp.2022.101963

Hamari, J., Shernoff, D. J., Rowe, E., Coller, B., Asbell-Clarke, J., & Edwards, T. (2021). Challenging games help students learn: An empirical study on engagement, flow, and immersion in game-based learning. Computers in Human Behavior, 54, 170–179. https://doi.org/10.1016/j.chb.2015.07.045

Hasan, M. R. (2024). Perceived versus actual attentional control in mobile-device-rich classrooms. Computers & Education, 198, 104749. https://doi.org/10.1016/j.compedu.2023.104749

Hernández-Sánchez, B. R., Cardella, G. M., & Sánchez-García, J. C. (2022). Technology use and academic engagement: A study of internet-enabled learning environments. Education and Information Technologies, 27(6), 7923–7941. https://doi.org/10.1007/s10639-022-10963-5

Kushlev, K., Proulx, J., & Dunn, E. W. (2021). Silence your phones: Smartphone notifications increase inattention and task interruptions. Journal of Experimental Psychology: General, 150(11), 2306–2320. https://doi.org/10.1037/xge0000972

Livingstone, S., Mascheroni, G., & Staksrud, E. (2022). European research on children’s internet use: Assessing the past and anticipating the future. New Media & Society, 24(3), 605–622. https://doi.org/10.1177/1461444820975487

Martin, F. (2025). Digital distractions and selective attention in secondary education. British Journal of Educational Technology, 56(1), 44–60.

Martin, F., Sun, J. C. Y., & Westine, C. D. (2025). Digital distractions, cognitive overload, and attention in technology-intensive learning environments. British Journal of Educational Technology, 56(3), 415–432.

May, K. E., & Elder, A. D. (2021). Efficient, helpful, or distracting? A literature review of media multitasking in relation to academic performance. International Journal of Educational Psychology, 10(1), 38–61. https://doi.org/10.17583/ijep.2021.4461

OECD. (2021). Education at a glance 2021: OECD indicators. OECD Publishing. https://doi.org/10.1787/b35a14e5-en

Paulus, F. W., Ohmann, S., & von Gontard, A. (2021). Gaming-related cognitive load and its effects on academic task performance. Computers in Human Behavior, 122, 106835. https://doi.org/10.1016/j.chb.2021.106835

Ravizza, S. M., Hambrick, D. Z., & Fenn, K. M. (2014). Non-academic internet use in the classroom is negatively related to classroom learning regardless of intellectual ability. Computers & Education, 78, 109–114. https://doi.org/10.1016/j.compedu.2014.05.007

Roque, L. S. (2025). Purposeful technology integration and student engagement: Rethinking digital distraction in classrooms. Educational Technology Research and Development, 73(1), 89–108.

Rosen, L. D., & Lim, A. F. (2020). The distracted student: Effects of multitasking, notifications, and task switching on learning. Educational Psychology, 40(6), 701–715. https://doi.org/10.1080/01443410.2019.1679143

Saleem, M., Alrasheedi, M., & Khan, S. A. (2024). Multitasking, digital device use, and attentional control among secondary school students. Computers & Education, 197, 104742. https://doi.org/10.1016/j.compedu.2023.104742

Seemiller, C. (2025). Generation Z learner engagement: Strategies for managing digital distraction. Routledge.

Sharpe, R., Beetham, H., & De Freitas, S. (2025). Attention, cognitive load, and prolonged instruction in secondary education. British Journal of Educational Technology, 56(2), 241–257.

Stavropoulos, V., Beard, C., Griffiths, M. D., Buleigh, T., Gomez, R., & Pontes, H. M. (2020). Measurement invariance of the Internet Gaming Disorder Scale–Short Form between Australian and U.S. adolescents. Journal of Behavioral Addictions, 9(1), 153–167. https://doi.org/10.1556/2006.8.2019.60

Sun, J. C. Y. (2024). Designing learning environments to support sustained attention: The role of cognitive engagement patterns. Computers & Education, 196, 104711. https://doi.org/10.1016/j.compedu.2023.104711

Sweller, J., Ayres, P., & Kalyuga, S. (2019). Cognitive load theory (2nd ed.). Springer. https://doi.org/10.1007/978-3-030-34387-2

Ward, A. F., Duke, K., Gneezy, A., & Bos, M. W. (2022). Brain drain: The mere presence of one’s own smartphone reduces available cognitive capacity. Journal of the Association for Consumer Research, 7(2), 251–263. https://doi.org/10.1086/713834

Wang, Y., Chen, N. S., & Anderson, T. (2023). Aligning smartphone and social media use with instructional goals: Effects on attention and engagement. Internet and Higher Education, 56, 100880. https://doi.org/10.1016/j.iheduc.2022.100880

Yulianti, K., Fitriani, R., & Suryadi, A. (2023). Self-regulated learning as a moderator of non-academic internet use in digital classrooms. Journal of Educational Computing Research, 61(2), 401–421. https://doi.org/10.1177/07356331221116784

Ziegler, S., Lohmann, S., & Reinders, H. (2023). Regulating smartphone use in classrooms: Effects on attention and learning behavior. Learning and Instruction, 84, 101711. https://doi.org/10.1016/j.learninstruc.2022.101711

Zimmerman, B. J. (2000). Attaining self-regulation: A social cognitive perspective. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 13–39). Academic Press.

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