Exploring the relationship between biometric data measured by sensors and psychological health outcomes in student management

This study focuses on analyzing the correlation between automatically collected biometric data obtained through sensors and psychological well-being in relation to student management with the purpose of identifying how physiology can inform on student’s mental state. Heart rate interval, temp, and electrodermal activity (EDA) are the integral body parameters correlated with psychological state indicators, including stress, anxiety, and mood stability. Using a triangulation design of research, this study combines the quantitative academic performance data collected from the smart space biometric sensors with the qualitative data from a survey and interviews. The study adopted a stratified random sampling technique to identify two hundred students from disperse fields of study to increase the variability of the sample. Ad-hoc physiological data was captured using wearable sensors over a three months’ duration and related to psychological health assessment conducted using validated self-report questionnaires. Descriptive and correlation statistics were employed to determine the extent of relationship between the biometric variables and depression. Standard procedures of ethical conduct were observed as the participants signed informed consent, and their data was protected. The presented study is focused on revealing the possibility of using biometric data as an effective nonintrusive method to evaluate and improve the efficiency of student’s mental health management.