Region - Educational Research and Reviews

In response to the increasingly hidden nature of psychological distress among college students, the diversification of service needs, and the lag in service response, constructing a large-model agent to assist precision mental health services has considerable practical value. Relying on semantic understanding, emotion recognition, task planning, and resource coordination, the system forms a closed service loop covering need perception, state assessment, tiered support, human referral, and continuous feedback; on the basis of clearly defined professional boundaries, data security, and ethical responsibilities, it can enhance the initiative, adaptability, and continuity of university mental health services, thereby providing an intelligent pathway for optimizing the student growth support systems.