Residential Noise, Cognitive Load, and Mathematics Anxiety in Middle School Mathematics Learning

Hanaya Alma Aisyah, Fani Fitriani, Rina Oktaviyanthi

Abstract

Environmental conditions may be associated with students’ cognitive and affective experiences in mathematics learning. This study examined the relationship between perceived residential environmental noise, cognitive load (CL), and mathematics anxiety (MA) among middle school students. A quantitative cross-sectional design was employed with 109 students in Grades VII–IX at a public Islamic junior secondary school in Kota Serang, Indonesia. Data were collected using an eight-item CL scale, an eight-item MA scale, and a five-category measure of perceived residential environmental noise ranging from very quiet to very noisy. Descriptive statistics, Cronbach’s alpha, Spearman’s correlation, Kruskal-Wallis tests, Welch’s t-tests, effect sizes, partial correlation, and spatial visualization were used. The CL and MA scales demonstrated good internal consistency (α = .827 and .821, respectively). Significant differences in CL and MA were found across residential noise categories (p < .001). Perceived noise was positively associated with CL (ρ = .511, p < .001) and MA (ρ = .604, p < .001). CL and MA were also strongly associated (r = .760, p < .001), and the relationship remained substantial after controlling for perceived noise (rpartial = .674, p < .001). Students reporting higher-noise environments showed higher CL and MA than those reporting lower-noise environments, with Hedges’ g of 1.28 and 1.51, respectively. These findings indicate that perceived residential environmental context is a relevant contextual variable in understanding students’ cognitive and affective experiences in mathematics learning. The findings represent associations rather than causal effects of environmental noise

Keywords

Cognitive Load; Environmental Noise; Mathematics Anxiety; Mathematics Learning; Middle School Students

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References

Balt, M., Börnert-Ringleb, M., & Orbach, L. (2022). Reducing Math Anxiety in School Children: A Systematic Review of Intervention Research. Frontiers in Education, 7, 798516. https://doi.org/10.3389/feduc.2022.798516

Cipora, K., Santos, F. H., Kucian, K., & Dowker, A. (2022). Mathematics anxiety-where are we and where shall we go? Annals of the New York Academy of Sciences, 1513(1), 10–20. https://doi.org/10.1111/nyas.14770

Codding, R. S., Goodridge, A. E., Hill, E., Kromminga, K. R., Chehayeb, R., Volpe, R. J., & Scheman, N. (2023). Meta-analysis of skill-based and therapeutic interventions to address math anxiety. Journal of School Psychology, 100. https://doi.org/10.1016/j.jsp.2023.101229

Cuder, A., Živković, M., Doz, E., Pellizzoni, S., & Passolunghi, M. C. (2023). The relationship between math anxiety and math performance: The moderating role of visuospatial working memory. Journal of Experimental Child Psychology, 233. https://doi.org/10.1016/j.jecp.2023.105688

Cuder, A., Pellizzoni, S., Di Marco, M., Blason, C., Doz, E., Giofrè, D., & Passolunghi, M. C. (2024). The impact of math anxiety and self-efficacy in middle school STEM choices: A 3-year longitudinal study. The British Journal of Educational Psychology, 94(4), 1091–1108. https://doi.org/10.1111/bjep.12707

Demedts, F., Reynvoet, B., Sasanguie, D., & Depaepe, F. (2022). Unraveling the role of math anxiety in students’ math performance. Frontiers in Psychology, 13, 979113. https://doi.org/10.3389/fpsyg.2022.979113

Fernández-Quezada, D., Martínez-Fernández, D. E., Fuentes, I., García-Estrada, J., & Luquin, S. (2025). The Influence of Noise Exposure on Cognitive Function in Children and Adolescents: A Meta-Analysis. NeuroSci, 6(1), 22. https://doi.org/10.3390/neurosci6010022

Finell, J., Sammallahti, E., Korhonen, J., Eklöf, H., & Jonsson, B. (2022). Working Memory and Its Mediating Role on the Relationship of Math Anxiety and Math Performance: A Meta-Analysis. Frontiers in Psychology, 12, 798090. https://doi.org/10.3389/fpsyg.2021.798090

Foraster, M., Esnaola, M., López-Vicente, M., Rivas, I., Álvarez-Pedrerol, M., Persavento, C., Sebastian-Galles, N., Pujol, J., Dadvand, P., & Sunyer, J. (2022). Exposure to road traffic noise and cognitive development in schoolchildren in Barcelona, Spain: A population-based cohort study. PLoS Medicine, 19(6). https://doi.org/10.1371/journal.pmed.1004001

Gheller, F., Spicciarelli, G., Scimemi, P., & Arfé, B. (2023). The Effects of Noise on Children’s Cognitive Performance: A Systematic Review. Environment and Behavior, 55(8–10), 698–734. https://doi.org/10.1177/00139165241245823

Guski, R., Schreckenberg, D., & Schuemer, R. (2017). WHO environmental noise guidelines for the European Region: A systematic review on environmental noise and annoyance. International Journal of Environmental Research and Public Health, 14(12), Article 1539. https://doi.org/10.3390/ijerph14121539

Hill, F., Mammarella, I. C., Devine, A., Caviola, S., Passolunghi, M. C., & Szucs, D. (2016). Maths anxiety in primary and secondary school students: Gender differences, developmental changes and anxiety specificity. Learning and Individual Differences, 48, 45–53. https://doi.org/10.1016/j.lindif.2016.02.006

Krieglstein, F., Beege, M., Rey, G. D., Ginns, P., Krell, M., & Schneider, S. (2022). A Systematic Meta-analysis of the Reliability and Validity of Subjective Cognitive Load Questionnaires in Experimental Multimedia Learning Research. Educational Psychology Review, 34(4), 2485–2541. https://doi.org/10.1007/S10648-022-09683-4

Leppink, J., Paas, F., Van der Vleuten, C. P. M., Van Gog, T., & Van Merriënboer, J. J. G. (2013). Development of an instrument for measuring different types of cognitive load. Behavior Research Methods 2013 45:4, 45(4), 1058–1072. https://doi.org/10.3758/S13428-013-0334-1

Mealings, K. (2022). Classroom acoustics and cognition: A review of the effects of noise and reverberation on primary school children’s attention and memory. Building Acoustics, 29(3), 401–431. https://doi.org/10.1177/1351010X221104892

Oktaviyanthi, R., Agus, R. N., Garcia, M. L. B., & Lertdechapat, K. (2024). Cognitive load scale in learning formal definition of limit: A rasch model approach. Infinity Journal, 13(1), 99–118. https://doi.org/10.22460/infinity.v13i1.p99-118

Paas, F. G. W. C. (1992). Training Strategies for Attaining Transfer of Problem-Solving Skill in Statistics: A Cognitive-Load Approach. Journal of Educational Psychology, 84(4), 429–434. https://doi.org/10.1037/0022-0663.84.4.429

Pellizzoni, S., Cargnelutti, E., Cuder, A., & Passolunghi, M. C. (2022). The interplay between math anxiety and working memory on math performance: a longitudinal study. Annals of the New York Academy of Sciences, 1510(1), 132–144. https://doi.org/10.1111/nyas.14722

Raess, M., Valeria Maria Brentani, A., Flückiger, B., Ledebur de Antas de Campos, B., Fink, G., & Röösli, M. (2022). Association between community noise and children’s cognitive and behavioral development: A prospective cohort study. Environment International, 158, 106961. https://doi.org/10.1016/J.ENVINT.2021.106961

Sammallahti, E., Finell, J., Jonsson, B., & Korhonen, J. (2023). A Meta-Analysis of Math Anxiety Interventions. Journal of Numerical Cognition, 9(2), 346–362. https://doi.org/10.5964/JNC.8401

Shukla, A., Tandel, B. N., & Bari, C. (2026). Cognitive and psychological effects of environmental noise on school children: a systematic literature review. Cities & Health. https://doi.org/10.1080/23748834.2026.2673765

Sweller, J. (1988). Cognitive Load During Problem Solving: Effects on Learning. Cognitive Science, 12(2), 257–285. https://doi.org/10.1207/s15516709cog1202_4

von Elm, E., Altman, D. G., Egger, M., Pocock, S. J., Gøtzsche, P. C., & Vandenbroucke, J. P. (2008). The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Journal of Clinical Epidemiology, 61(4), 344–349. https://doi.org/10.1016/j.jclinepi.2007.11.008

World Health Organization. (2018). Environmental noise guidelines for the European Region. WHO Regional Office for Europe. https://www.who.int/publications/i/item/9789289053563

Yáñez-Marquina, L., & Villardón-Gallego, L. (2017). Math anxiety, a hierarchical construct: Development and validation of the scale for assessing math anxiety in secondary education. Ansiedad y Estres, 23(2–3), 59–65. https://doi.org/10.1016/s.2017.10.001

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