首页> 美国卫生研究院文献>International Journal of Environmental Research and Public Health >Impact of Indoor Physical Environment on Learning Efficiency in Different Types of Tasks: A 3 × 4 × 3 Full Factorial Design Analysis
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Impact of Indoor Physical Environment on Learning Efficiency in Different Types of Tasks: A 3 × 4 × 3 Full Factorial Design Analysis

机译:室内物理环境对不同类型任务的学习效率的影响:3×4×3全因子设计分析

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摘要

Indoor physical environments appear to influence learning efficiency nowadays. For improvement in learning efficiency, environmental scenarios need to be designed when occupants engage in different learning tasks. However, how learning efficiency is affected by indoor physical environment based on task types are still not well understood. The present study aims to explore the impacts of three physical environmental factors (i.e., temperature, noise, and illuminance) on learning efficiency according to different types of tasks, including perception, memory, problem-solving, and attention-oriented tasks. A 3 × 4 × 3 full factorial design experiment was employed in a university classroom with 10 subjects recruited. Environmental scenarios were generated based on different levels of temperature (17 °C, 22 °C, and 27 °C), noise (40 dB(A), 50 dB(A), 60 dB(A), and 70 dB(A)) and illuminance (60 lx, 300 lx, and 2200 lx). Accuracy rate (AC), reaction time (RT), and the final performance indicator (PI) were used to quantify learning efficiency. The results showed ambient temperature, noise, and illuminance exerted significant main effect on learning efficiency based on four task types. Significant concurrent effects of the three factors on final learning efficiency was found in all tasks except problem-solving-oriented task. The optimal environmental scenarios for top learning efficiency were further identified under different environmental interactions. The highest learning efficiency came in thermoneutral, relatively quiet, and bright conditions in perception-oriented task. Subjects performed best under warm, relatively quiet, and moderately light exposure when recalling images in the memory-oriented task. Learning efficiency peaked to maxima in thermoneutral, fairly quiet, and moderately light environment in problem-solving process while in cool, fairly quiet and bright environment with regard to attention-oriented task. The study provides guidance for building users to conduct effective environmental intervention with simultaneous controls of ambient temperature, noise, and illuminance. It contributes to creating the most suitable indoor physical environment for improving occupants learning efficiency according to different task types. The findings could further supplement the present indoor environment-related standards or norms with providing empirical reference on environmental interactions.
机译:如今,室内物理环境似乎会影响学习效率。为了提高学习效率,需要在居住者从事不同学习任务时设计环境方案。然而,基于任务类型的室内物理环境如何影响学习效率仍然不是很了解。本研究旨在根据不同类型的任务(包括感知,记忆,解决问题和关注任务)探索三种物理环境因素(即温度,噪声和照度)对学习效率的影响。在大学教室中采用了3×4×3的全因子设计实验,招募了10个科目。根据不同的温度水平(17°C,22°C和27°C),噪声(40 dB(A),50 dB(A),60 dB(A)和70 dB(A)生成环境方案)和照度(60 lx,300 lx和2200 lx)。准确率(AC),反应时间(RT)和最终绩效指标(PI)用于量化学习效率。结果表明,基于四种任务类型,环境温度,噪声和照度对学习效率具有显着的主要影响。除面向解决问题的任务外,所有任务均发现了这三个因素对最终学习效率的显着同时影响。在不同的环境相互作用下,进一步确定了最佳学习效率的最佳环境方案。在以感知为导向的任务中,在热中性,相对安静和明亮的条件下,学习效率最高。在回忆面向存储器的任务中的图像时,对象在温暖,相对安静和适度的光线照射下表现最佳。在解决问题的过程中,在热中性,相对安静和中等光线的环境中,学习效率达到最高值,而在针对注意力的任务中,在凉爽,相对安静和明亮的环境中,学习效率达到最高。该研究为建筑用户提供有效的环境干预措施,同时控制环境温度,噪声和照度,为他们提供指导。它有助于创建最合适的室内物理环境,以根据不同任务类型提高乘员的学习效率。这些发现可以通过提供有关环境相互作用的经验参考来进一步补充当前的室内环境相关标准或规范。

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