Feasibility Study on Assessing Emotional Health: Applications of Artificial Intelligence

Abstract

Numerous studies indicate that educators often experience high levels of stress. Reducing stress and anxiety can prevent setbacks in their professional realization, thereby improving teaching quality and maintaining physical and mental health. Educators must adapt to the constant changes in today’s society to ensure the comprehensive development of student populations. However, continuous interaction with students, parents, or legal guardians, as well as relationships with peers, can lead to the accumulation of stress and tension. Over time, this can result in symptoms of burnout syndrome. Therefore, considering students’ right to education and the requisite quality of education, educators should pay special attention to and maintain emotional well-being. This study utilizes artificial intelligence technology to obtain signals of organ cell function from the human body. Through database matching, the current status of organ function is determined. Subsequently, a comparison is made with questionnaire data to confirm the psychophysical condition of each case. A total of 20 cases were collected for this study, and through comprehensive analysis of the results from artificial intelligence detection and emotional health self-assessment questionnaires, the feasibility of assessing emotional health through artificial intelligence detection was confirmed. The analysis revealed a high degree of correlation between the two models. Therefore, the results of this study can serve as a reference for relevant professionals in academia, industry, and government.