Exploring the Relationship Between Student Stressand Academic Achievement By using Machine Learning Techniques

Abstract

This study investigates the relationship between student stress factors and academic performance. Stress among students is a pervasive issue in educational settings and has been linked to various negative outcomes, including poor academic performance. Understanding the factors that contribute to student stress and their impact on academic achievement is crucial for developing effective interventions and support systems. This research employs quantitative methods to analyze data collected from a sample of students, examining the correlation between stress levels and academic performance. Additionally, the study explores specific stressors commonly experienced by students, such as workload, time management, social pressures, and financial concerns, and their influence on academic success. The findings of this study contribute to the existing literature on student well-being and academic performance, providing insights for educators, policymakers, and other stakeholders to address student stress effectively and promote better academic outcomes.