Analyzing the Effects of Modern Distractions on Learning Mathematics Among Junior High School Students at MSU–Sulu Laboratory High School

Authors

  • Benjamar Abdulmajid Sulu State University Author
  • Mailen Antao Sulu State University Author

DOI:

https://doi.org/10.5281/zenodo.19943081

Keywords:

modern distractions, learning mathematics, junior high school, critical thinking, problem-solving skills, working memory capacity

Abstract

This study examined the level of effects of modern distractions on learning Mathematics among junior high school students at Mindanao State University–Sulu Laboratory High School, focusing on critical thinking, problem-solving skills, and working memory capacity. Using a descriptive–correlational research design, data were collected from 120 students across Grades 7 to 10 through a validated survey questionnaire. Statistical tools such as descriptive statistics, t-tests, analysis of variance (ANOVA), and Pearson correlation were used for data analysis. Results revealed that modern distractions have a neutral and varied influence on students’ Mathematics learning, as reflected by “Undecided” overall mean ratings across the three cognitive domains. Findings further indicated that students’ perceptions of modern distractions do not significantly differ when grouped according to gender, age, parents’ educational attainment, and parents’ monthly income; however, significant differences were observed when grouped by grade level, suggesting the role of academic maturity. Correlational analysis showed strong to very high positive relationships among critical thinking, problem-solving skills, and working memory capacity, confirming that these cognitive processes are closely interconnected. Based on the findings, the study recommends that school administrators and teachers may implement instructional strategies that strengthen students’ attention control and higher-order thinking skills, parents provide supportive and distraction-minimized learning environments, and students develop self-regulation skills in managing distractions. Future research may further explore intervention strategies to reduce the impact of modern distractions on Mathematics learning.

References

Alloway, T. P., & Alloway, R. G. (2020). The impact of technology use on working memory and learning in children. Developmental Psychology, 56(5), 1021–1032. https://doi.org/10.1037/dev0000893

Artuz, J. K. A., & Roble, D. B. (2021). Developing students’ critical thinking skills in mathematics using online-process oriented guided inquiry learning (O-POGIL). American Journal of Educational Research, 9(7), 404–409. https://doi.org/10.12691/education-9-7-2

Dontre, A. J. (2021). The influence of technology on academic distraction: A review. Human Behavior and Emerging Technologies, 3 (3), 379–390. https://doi.org/10.1002/hbe2.229

Espinosa, A. A., Gomez, M. A. C., Miranda, P. A., David, A. P., Abulon, E. L. R., Hermosisima, M. V. C., Quinosa Jr, E. A., Soliman, A. A., De Vera, J. L., Claros, I. H. A., Cruz, H. G. M., & Gonzales, N. S. J. (2023). Technology in education: A case study on the Philippines. Background paper prepared for the 2023 Global Education Monitoring Report: Technology and education, Southeast Asia. UNESCO. https://doi.org/10.54676/XKHI4627

Frost, J. (2024). Stratified sampling: Definition, advantages & examples. Statistics by Jim. https://statisticsbyjim.com/basics/stratified-sampling/

IvyPanda. (2023, March 18). Descriptive correlational design in research. IvyPanda. https://ivypanda.com/essays/descriptive-statistics-and-correlational-design/

Liu, O. L., Frankel, L., & Roohr, K. (2014). Assessing critical thinking in higher education: Current state and directions for next-generation assessment. ETS Research Report Series, 2014 (1), 1–23. https://doi.org/10.1002/ets2.12009

Lucob, D. N., Serion, R. M., Torreon, K. M., & Diansay, K. P. (2024). Glued on gadget buttons: Digital distraction and learning motivation. Psychology and Education: A Multidisciplinary Journal, 16(10), 1110–1124. https://ejournals.ph/article.php?id=23361

McBurney, D. H., & White, T. L. (2009). Research methods (8th ed.). Wadsworth Cengage Learning.

OECD. (2020). PISA 2018 results (Volume V): Effective policies, successful schools. OECD Publishing. https://doi.org/10.1787/ca768d40-en

Risko, E. F., & Gilbert, S. J. (2019). Cognitive offloading: How the Internet is changing the human brain. Trends in Cognitive Sciences, 23(1), 65–73. https://doi.org/10.1016/j.tics.2018.10.002

Rosen, L. D., Carrier, L. M., & Cheever, N. A. (2020). The distracted student mind: Enhancing its focus and attention. Journal of Applied Research in Memory and Cognition, 9(4), 439–450. https://doi.org/10.1016/j.jarmac.2020.09.001

Sweller, J., Ayres, P., & Kalyuga, S. (2019). Cognitive load theory. Springer. https://doi.org/10.1007/978-1-4419-8126-4

UNESCO. (2023). Global education monitoring report 2023: Technology in education — A tool on whose terms? UNESCO Publishing. https://doi.org/10.54676/UZQV8501

Uncapher, M. R., & Wagner, A. D. (2019). Minds and brains of media multitaskers: Current findings and future directions. Proceedings of the National Academy of Sciences, 115(40), 9889–9896. https://doi.org/10.1073/pnas.1611612115

Uncapher, M. R., Thieu, M. K., & Wagner, R. K. (2020). Digital distraction: Cognitive control in the age of information. Journal of Applied Research in Memory and Cognition, 9(4), 482–495. https://doi.org/10.1016/j.jarmac.2020.09.002

Zhang, D., Chen, J., & Lee, J. (2021). Self-regulation and working memory in managing digital distractions during learning. Computers & Education, 165, 104146. https://doi.org/10.1016/j.compedu.2021.104146

Downloads

Published

2026-05-01

How to Cite

Analyzing the Effects of Modern Distractions on Learning Mathematics Among Junior High School Students at MSU–Sulu Laboratory High School. (2026). The International Review of Multidisciplinary Research, 1(4). https://doi.org/10.5281/zenodo.19943081

Similar Articles

1-10 of 184

You may also start an advanced similarity search for this article.