This paper presents a work in progress study focusing on evaluating the environmental conditions and its influence on students' academic performance. The motivation is to find link between the environmental factors such as temperature, humidity, indoor air quality, lightning and the sense of comfort of individual students measured by the specific body movements. The paper elaborates on the sensor network architecture and the movement identification as well as on the multi-factor study design. The results of this study will be used to design a smart classroom that would control for identified influencing factors in order to improve students' comfort and provide for better academic performance.
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