不同環境因子對學習效率之影響

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题名:	不同環境因子對學習效率之影響 An Investigation into the Influence of Learning Efficiency given by varied Environmental Factors
作者:	鄭巖 Cheng, Yen
贡献者:	建築及都市設計學系
关键词:	熱舒適度指標(PMV) 不滿意度指標(PPD) 社會密度空間歷程學習效率 Predicted of percentage dissatisfied (PPD) Space history Social density Learning efficiency Predicted mean vote (PMV)
日期:	2014-06
上传时间:	2014-09-26 17:21:57 (UTC+8)
摘要:	隨著經濟的快速成長，人們對於室內生活空間的舒適度要求也相對提高，其中室內環境品質與熱舒適度有其高度相關，不良的建築室內環境及室內空調的使用會對學習效率、人體健康及能源消耗產生負面影響，為了創造健康與舒適的室內空間及提升學習效率，人體舒適度與室內環境品質之關係將是重要之研究。本研究主要針對室內物理環境對學習效率之影響進行探討，期望瞭解室內物理環境因子對人體舒適度之影響程度，彙整相關研究資料以提供本研究之重要參考依據，利用熱舒適度指標(PMV)及不滿意度指標(PPD)方式檢測環境舒適度，並以學習評量方式檢測學習效率，尋求教室人員可接受之舒適環境，根據研究成果提出可有效提升學習效率之環境物理數值，未來可供教育場所設計之參考，研究結果顯示，密度100%時所反映之學習效率較差，因密度增加而產生擁擠感，使人員感受及認知產生變化，而影響學習效率，以密度10%、舒適度(PMV)範圍約在-0.5至0間及舒適度(PPD)數值約在10%以下，可有效提高學習效率。 Since the rapid growth of the economy, a relatively better comfort of indoor living space is demanded and the inferior indoor quality and indoor air conditioning are proved to have influence on learning efficiency, health and energy consumption. In order to create a healthy and comfortable indoor space to improve learning efficiency, the relationship between human comfort and indoor environment quality will be an important research topic to conduct. This study focuses mainly on the influence of indoor physical environment to learning efficiency and is expected to unveil the relevant degree of indoor physical environmental factors to human comfort; the PMV (predicted mean vote) and PPD (predicted of percentage dissatisfied) are used to measure the degree of indoor comfort and the learning assessment methods are used to evaluate learning efficiency ; thus the environment physical parameters, which are able to enhance learning efficiency, are submitted based on this study and hence worthy as reference for the future classroom design. The research results show that the learning efficiency is inferior as the density is 100%, because it is affected as people’s feeling and cognition are changed due to the increase of density; as density is 10%, PMV is ranged from about -0.5 to 0 and PPD is below about 10 %, the learning efficiency can be effectively improved.
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