Sensor Technology in Early Warning System for College Students’ Mental Health Risk

Abstract

The increasing prevalence of mental health issues among college students necessitates innovative approaches to address them. This study was carried out to integrate sensor technology into a system to identify at-risk students and warn them and their caregivers. Privacy concerns, lack of technical expertise, and financial constraints that hinder the effective implementation of the system were addressed by introducing data protection protocols, development by experts, and funding for technology development. The feasibility of the system was validated in a case study in which the results demonstrated the successful operation of sensor technology in monitoring students’ emotional status. The system also helped students engage and promote personalized learning. The results of this study proved the transformative potential of sensor technology in education.