Please use this identifier to cite or link to this item: https://hdl.handle.net/11000/34231

Acoustic Comfort in Learning Spaces: Moving Towards Sustainable Development Goals

Title:
Acoustic Comfort in Learning Spaces: Moving Towards Sustainable Development Goals
Authors:
Montiel Vaquer, Isabel  
Martínez Mayoral, Mª Asunción  
Navarro-Pedreño, Jose  
Maiques, Silvia
Editor:
MDPI
Department:
Departamentos de la UMH::Estadística, Matemáticas e Informática
Issue Date:
2019-06
URI:
https://hdl.handle.net/11000/34231
Abstract:
The association between learning spaces and new pedagogical approaches is a current issue. Research shows that the classical, more silent, master class is being bypassed by student centered methods with participative classes and active methodologies. Major efforts in teacher training are taken to help teachers implement these new approaches in their lessons. The conditions of the learning space are also influential. The following question is raised: Can acoustic comfort facilitate innovation and consequently help in the progress towards SDG? We have focused on public high schools in Spain (IES), in the Valencian Community. Data has been gathered from the visit to thirty high schools. International scientific studies and valid guidelines referring to noise have been reviewed. Findings on the research conclude that acoustic comfort is essential in education and is directly related with the implementation of emerging pedagogies. Likewise, the outcomes of the investigation hope to raise awareness among authorities and civil society that improvement of sound quality in learning spaces facilitates the achievement of sustainable development goals (SDG), particularly those concerning goal 3 (health and wellbeing), goal 4 (quality education) and goal 9 (sustainable infrastructures).
Keywords/Subjects:
educational innovation
active methodologies
learning spaces
space design
acoustic comfort
sustainable development goals
Knowledge area:
CDU: Ciencias aplicadas: Cuestiones generales de las ciencias aplicadas
Type of document:
info:eu-repo/semantics/article
Access rights:
info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
DOI:
https://doi.org/10.3390/su11133573
Appears in Collections:
Artículos Estadística, Matemáticas e Informática



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