Noise Pollution Control System for Effective Learning and Teaching

Noise pollution poses a significant barrier to effective learning and teaching, impacting concentration, retention, and overall academic performance. This paper explores the implementation of a comprehensive Noise Pollution Control System (NPCS) designed to mitigate disruptive auditory distractions in educational environments. The NPCS integrates sound insulation technologies, real-time noise monitoring, and adaptive acoustic treatments to create a conducive learning atmosphere. Through a combination of quantitative measurements and qualitative assessments, the system aims to identify noise sources, evaluate their impact on students and educators, and implement targeted interventions. Initial findings suggest that reduced noise levels correlate with improved student engagement and academic outcomes. By fostering a quieter and more focused learning environment, the NPCS seeks to enhance the overall educational experience, emphasizing the critical relationship between ambient sound conditions and effective teaching methodologies. This paper highlights best practices, challenges, and future directions for noise management in schools and universities, aiming to provide actionable insights for educators, administrators, and policymakers. It develops an integrated classroom noise monitoring system that combines real-time noise level detection with automated fan control and mobile application notifications. The system employs a noise sensor connected to a microcontroller to continuously monitor the classroom’s ambient noise levels. When the noise exceeds a predefined threshold, the system turns off the classroom fan to help reduce the noise. Additionally, it sends real-time notifications to a mobile application, providing updates on the noise levels and alerting teachers and school administrators to disturbances. This dual approach—automated fan control and mobile notifications— ensures an optimal learning environment by minimizing noise disruptions and keeping relevant personnel informed for timely interventions.

Authors

Publication Details

Published
2025-02-27
DOI
https://doi.org/10.1109/isacc65211.2025.10969198
Primary Topic
Noise Effects and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Noise Pollution Control System for Effective Learning and Teaching

K Elavarasi, B Aravindharaaj., J Chandru.
Noise Effects and Management
article

Noise Pollution Control System for Effective Learning and Teaching

K Elavarasi, B Aravindharaaj., J Chandru.
article en

Abstract

Noise pollution poses a significant barrier to effective learning and teaching, impacting concentration, retention, and overall academic performance. This paper explores the implementation of a comprehensive Noise Pollution Control System (NPCS) designed to mitigate disruptive auditory distractions in educational environments. The NPCS integrates sound insulation technologies, real-time noise monitoring, and adaptive acoustic treatments to create a conducive learning atmosphere. Through a combination of quantitative measurements and qualitative assessments, the system aims to identify noise sources, evaluate their impact on students and educators, and implement targeted interventions. Initial findings suggest that reduced noise levels correlate with improved student engagement and academic outcomes. By fostering a quieter and more focused learning environment, the NPCS seeks to enhance the overall educational experience, emphasizing the critical relationship between ambient sound conditions and effective teaching methodologies. This paper highlights best practices, challenges, and future directions for noise management in schools and universities, aiming to provide actionable insights for educators, administrators, and policymakers. It develops an integrated classroom noise monitoring system that combines real-time noise level detection with automated fan control and mobile application notifications. The system employs a noise sensor connected to a microcontroller to continuously monitor the classroom’s ambient noise levels. When the noise exceeds a predefined threshold, the system turns off the classroom fan to help reduce the noise. Additionally, it sends real-time notifications to a mobile application, providing updates on the noise levels and alerting teachers and school administrators to disturbances. This dual approach—automated fan control and mobile notifications— ensures an optimal learning environment by minimizing noise disruptions and keeping relevant personnel informed for timely interventions.

Openalex Percentile: Top 89%
Noise Effects and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Noise Pollution Control System for Effective Learning and Teaching — K Elavarasi, B Aravindharaaj., et al. · (2025) | TGRS Research Map | TGRS