An Analytical Study on Academic Pressure and Other Contributors of Student Stress

Abstract

These days students stress levels became a major problem. Heavy study workload, sleep habits and lifestyle habits have become a major reason, if not properly managed it can lead to serious health problems and effects on understanding abilities in the students. To study patterns, we have taken a student stress dataset having both physiological and behavioral indicators. We have employed statistical analysis, principal component analysis, correlation mapping. Random Forest and XG Boost is used to identify main contributing factors. XG Boost performed well with 95% accuracy.  The result shows that academic workload, sleep habits and lifestyle choices significantly effects stress levels. Among These reports suggest data driven approach for stress monitoring and suggest interposition points for education institutions.