Choice of the optimal acoustic design of a school classroom and experimental verification

Russo, Domenico; Ruggiero, Alessandro

doi:10.1016/j.apacoust.2018.11.019

Cited by 29 publications

(19 citation statements)

References 30 publications

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“…Although new possibilities may range up to automation of all processes carried out in classroom settings, and despite research is already reporting results (Abdel-Basset, Manogaran, Mohamed & Rushdy, 2019) (Zawacki-Richter, Marín, Bond & Gouverneur, 2019), this literature review on acoustics juxtaposed to the smart classrooms conceptualisation shows that we are still far from such advanced solutions to be implemented in schools. Short-term advances will rather consider systems for improving sound quality and reducing noise (Russo & Ruggiero, 2018), systems for giving teachers insights into current needs (Jayahari et al, 2017), devices for controlling sound exposure (Guntha et al, 2016) and designs aimed at providing more sustainable settings (Tahsildoost & Zomorodian, 2018).…”

Section: Discussionmentioning

confidence: 99%

“…The future classrooms can promote better and faster learning facilitating the education for sustainable development (Cebrián, Palau & Mogas, 2020) because their design must be greener and more sustainable (Tahsildoost & Zomorodian, 2018). The use of new materials and absorbent panels (Russo & Ruggiero, 2018) are being considered in schools, to ensure quality of learners and teachers' performance.…”

Section: Discussionmentioning

confidence: 99%

“…As a measurement, the STI is used in various studies to determine a good rate of reverberation in the classroom. It is also found that higher reverberation times decrease speech intelligibility (Russo & Ruggiero, 2018). If the reverberation time is between 0.4 and 0.6 seconds, intelligibility is considered to be "good" for normal speakers and listeners.…”

Section: Speech Transmission Indexmentioning

confidence: 99%

“…The 4IR introduces in education Big Data, Artificial Intelligence, Internet of Things and other possibilities (Zhong, Xu, Klotz & Newman, 2017), making it possible to improve the personalisation of learning experiences and offering a much more effective teaching system (Mogas et al, 2020). By using the mentioned advances or less complex solutions, controlling acoustics in smart classrooms appear in the form of systems for improving sound quality and reducing noise (Russo & Ruggiero, 2018), systems for giving teachers insights into current needs (Jayahari, Beenu & Bijlani, 2017), devices for controlling sound exposure (Guntha, Hariharan & Rangan, 2016) and designs aimed at providing greener and more sustainable settings (Tahsildoost & Zomorodian, 2018;Trematerra & Lombardi, 2017;Iannace, Trematerra & Trematerra, 2014). Indeed, sustainability also plays a key role in acoustics for smart classrooms (Roy, 2010).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

How classroom acoustics influence students and teachers: A systematic literature review

Recalde

Martín

Márquez

2021

J. Technol. Sci. Educ.

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Acoustics in schools have been studied during years, but nowadays there are more possibilities than ever before to introduce improvements. This study presents a systematic literature review determining what acoustic parameters are present in classrooms and how they affect both teachers and students. Following the analysis, we put forward a two-block classification: the physical parameters of the sound or noise in the classroom and the consequences of the acoustics on the people in the classroom. Advances in the design of learning spaces and the use of technologies ranging from devices and green material to advanced automation systems make it possible to direct acoustic solutions toward smarter learning spaces. This review also highlights the acoustic parameters to consider in smart classrooms (noise, reverberation, speech transmission and speech clarity) and the main effects of acoustics on teachers and students. Some conclusions and recommendations are drawn, but more research is needed in terms of school improvement considering acoustics influence and smart classrooms possibilities.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Speech Transmission Indexmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

How classroom acoustics influence students and teachers: A systematic literature review

Recalde

Martín

Márquez

2021

J. Technol. Sci. Educ.

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“…The comparison results suggested poor acoustic quality of the room due to the high level of ambient noise and insufficient sound insulation etc. In another study [86], to choose the optimal acoustic design for a classroom in a school, the research team followed the measurement and assessment methods present in ISO. They measured the key acoustic indicators (Index of Clarity of the Word, Speech Transmission Index and Reverberation Time) with an Integrated Impulse Response method and set up the parameters accordingly for the simulated classroom model.…”

Section: B Data Collection and Analysis Methods For Acoustic Comfortmentioning

confidence: 99%

Human Comfort in Indoor Environment: A Review on Assessment Criteria, Data Collection and Data Analysis Methods

Song

Mao

Liu³

2019

IEEE Access

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Occupants' comfort perception about the indoor environment is closely linked to their health, wellbeing and productivity. Improvement of comfort level in office buildings has significant positive impacts on both employers and employees. Human comfort in indoor environment usually can be assessed in four aspects: thermal comfort, visual comfort, acoustic comfort and respiratory comfort. In this paper, we present a literature review on the previous research contributions towards studying various aspects of human comfort with a special focus on the respective assessment criteria, data collection methods and data analysis approaches employed by former studies. Previous review work has covered the fundamental concepts associated with human comfort. However, their studies mainly focus on thermal comfort and there is limited work that covers other aspects of comfort. Moreover, few of them discuss how the data is obtained, how to extract useful information from the data and how the data is analyzed. To fill up this gap, this paper conducts the survey from the data-driven point of view. Through the survey, we find that sensor technology has been widely used in the data collection for various types of comfort, while so far the machine learning approaches are mainly applied in the area of thermal comfort study. Finally, some potential future research areas are proposed based on the current status of the research work. The established knowledge in this paper would provide useful insights for engineers or researchers who embark on their research in this area. INDEX TERMS Human comfort, thermal comfort, assessment criteria, data analysis method, sensor technology, machine learning.

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Design and Verification of an Acoustic Mitigation Intervention for an Air-Cooled Inverter Heat Pump: A Case Study

Ruggiero

Russo

D’Amato

2021

Advances in Manufacturing Engineering and Materials II

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Choice of the optimal acoustic design of a school classroom and experimental verification

Cited by 29 publications

References 30 publications

How classroom acoustics influence students and teachers: A systematic literature review

How classroom acoustics influence students and teachers: A systematic literature review

Human Comfort in Indoor Environment: A Review on Assessment Criteria, Data Collection and Data Analysis Methods

Design and Verification of an Acoustic Mitigation Intervention for an Air-Cooled Inverter Heat Pump: A Case Study

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