A Collaborative Education Mechanism for College Students' Physical and Mental Health Education and Safety Education Under Complex Background

Abstract

The current system for college students’ physical and mental health education and safety education in China is incomplete, however, a sound system is of important significance for exploring new ideas and ways for college students’ physical and mental health education and safety education, improving the health level of college students, and implementing the requirements of “healthy China initiative” for higher education. Until now, few studies have concerned about the construction of a collaborative education mechanism for college students’ physical and mental health and safety education under complex background, therefore, this paper attempts to fill in this research gap. In the beginning of this paper, qualitative and quantitative methods were combined to build a content system for college students’ physical and mental health education and safety education under complex background; then, a coordination evaluation model for the said matter was constructed, and principles for dividing the coupling coordination types of the collaborative education system were elaborated. After that, the grey prediction model was employed to predict and analyze the development status of collaborative education of college students’ physical and mental health education and safety education, thereby realizing rational judgement of the development trend of collaborative education. At last, test results compared the actual value and grey prediction value of the coordination degree of collaborative education, and proved the effectiveness of the constructed model.

AI-Assisted Emotion Recognition: Impacts on Mental Health Education and Learning Motivation

“…In this context, integrating AI with mental health education to achieve accurate emotion recognition and personalized learning content recommendations not only presents a technological challenge but also has significant societal implications. Moreover, the integration of AI assistants could introduce a new pedagogical paradigm in the educational sector, potentially enhancing the appeal and effectiveness of the learning experience [21][22][23].…”