Innovative Strategies for Mental Health Education in Universities under the Background of Artificial Intelligence

With the deep integration of artificial intelligence technology into university education management, the psychological problems of college students are showing a trend of diversification and concealment. The limitations of traditional mental health education in resource allocation, accurate identification, and collaborative governance are becoming increasingly prominent. This study is based on literature review and current situation analysis, systematically summarizing the basic pattern of mental health education in universities, pointing out the problems in terms of insufficient professional strength, lack of personalized courses, lack of agile risk warning, and insufficient departmental collaboration. From the perspective of artificial intelligence empowerment, corresponding innovative strategies are proposed, including building an intelligent psychological risk warning system, promoting personalized psychological course supply, developing intelligent auxiliary counseling and emotional support tools, and strengthening cross departmental data sharing and collaboration mechanisms. Research suggests that the human-machine collaboration model supported by artificial intelligence will effectively enhance the timeliness, accuracy, and systematicity of mental health education in universities, providing an important development path for building a sustainable psychological support system for college students.