An IoE-SVM Based Statistical Investigation to Measure Effect of Air Pollutant Substances on Student’s Attention Level

Abstract

The air pollutant in a specific region is mainly responsible for the respiration-related health problem. But the effect of these pollutants is also creating cognitive related issues and hence degrades the attention level of the students. As a result, their educational performance and learning ability reduce to a great extent. This study is to reveal the effect of the air pollutant on the educational outcomes of a student by measuring their attentiveness in the class using the Internet of Everything (IoE). As the effect of ambient air quality is different from region to region. This investigation is performed upon 33 schools of the Odisha region in India. An IoE-SVM Based approach is employed to evaluate the attentiveness of the student in different regions. The result shows that the PM10 and NO2 are mostly affecting the student’s attentiveness and hence cognitive response. The result shows that a 1% increase in PM10, NO2, and SO2 levels would decrease the test score by 0.049%, 0.14%, and 0.18% respectively