Abstract
In the modern world, unwanted noise pollution from a variety of sources has significant effects on the learning environment and on the academic achievement of students. In the Bamenda II municipality, both primary and secondary schools are exposed to noise pollution levels ranging between 37.66 dB and 65.82 dB during 7–8 am, 37.06 dB–67.68 dB during 9–10 am, and 49.16 dB–71.44 dB during 1–2 pm. The goal of this study was to assess the effect of noise pollution on schools and students’ performance in Bamenda II municipality. The study used a cross-sectional study design to determine the sample size. Sampled schools exposed to different noises, such as traffic and business-related noises, were purposively chosen. 200 questionnaires were administered, involving 127 students and 73 teachers. A medical doctor was interviewed to assess noise impact on teaching-learning outcomes. Noise levels (A-weighted decibels) were measured using Extech 407732 Sound Level Meter. Data were analyzed using descriptive and inferential statistical methods. The results showed that noise in educational institutions harms learning and academic achievement. Over 90% of the teachers complained that noise affected their teaching and 92.2% of the students acknowledged that noise affected their learning ability. They also reported communication interference, voice masking, tiredness/fatigue, and headache as some of the major problems of noise pollution. The study suggests that school buildings should have sound insulation systems with double-glazed doors/windows, and awareness about noise pollution-related dangers to teaching and learning should be emphasized.
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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Désiré, S.S.M., Ngum, T.M., Mambo, A.D., Lawrence, F., Fogam, B.N., Landry, N.S.J. (2022). Effects of Noise Pollution on Learning in Schools of Bamenda II Municipality, Northwest Region of Cameroon. In: Mambo, A.D., Gueye, A., Bassioni, G. (eds) Innovations and Interdisciplinary Solutions for Underserved Areas. InterSol 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 449. Springer, Cham. https://doi.org/10.1007/978-3-031-23116-2_1
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