Assessing Student Stress With AI And Fuzzy Logic: A Novel Approach

Abstract

This study investigates the key factors influencing student well-being and performance using the Fuzzy Analytic Hierarchy Process (FAHP). A numerical survey was conducted among college students in Tamil Nadu, India, and the collected responses were reviewed by experts with over 30 years of teaching experience to ensure reliable pairwise comparisons. Four primary criteria were evaluated: Academic Pressure (C1), Personal Issues (C2), Physiological Markers (C3), and Psychological Factors (C4). The FAHP results reveal that Academic Pressure (C1) is the most critical factor impacting student outcomes. The findings provide meaningful insights for students, educators, and college administrators, highlighting the importance of managing academic workloads and offering holistic support. The study further suggests that integrating sports activities, yoga practices, and stress-relief programs can help
reduce academic stress and promote improved student well-being and performance.