Core Insights - The article emphasizes the importance of integrating mental health education into the broader educational framework, highlighting the need for a comprehensive approach to address the rising mental health issues among university students [1][2][5] Group 1: Policy and Framework - The Ministry of Education and other departments have issued a plan to enhance mental health work in universities from 2023 to 2025, aiming to establish a comprehensive psychological education system [1] - The 20th Central Committee's decision in July 2024 underlines the significance of mental health services in national strategy, advocating for a robust social psychological service system and crisis intervention mechanisms [1] - The 2025 government work report explicitly calls for the popularization of mental health education and the establishment of a social psychological service system, providing clearer guidelines for mental health initiatives [1] Group 2: New Pathways for Mental Health Education - Universities are encouraged to explore a "three-integration" approach: integrating ideological education, psychological education, and student affairs to create a collaborative effort [2][3] - The integration of the first classroom (theoretical learning) and the second classroom (practical experience) is proposed to enhance the effectiveness of mental health education [4] - The combination of traditional educational methods and artificial intelligence technologies is suggested to create a precise and efficient support system for mental health education [5][6] Group 3: Implementation Strategies - A collaborative organizational structure is recommended, involving the establishment of a psychological health education committee and crisis intervention teams under unified leadership [3] - The first classroom should include mandatory courses on mental health, focusing on various themes such as self-awareness and emotional management, while the second classroom should offer diverse activities to reinforce learning [4] - The use of AI for psychological assessments and crisis alerts is advocated, enabling early identification of at-risk individuals and providing tailored interventions [6] Group 4: Future Directions - The proposed "three-integration" model is seen as essential for addressing current mental health challenges among students and aligning with relevant policies [6] - Continuous reform and innovation in mental health education are necessary to ensure effective implementation of the proposed strategies, ultimately supporting students' healthy development and overall growth [6]

Core Viewpoint - The increasing mental health issues among university students due to intensified social competition and changing educational environments necessitate innovative approaches in psychological support, particularly through the integration of Artificial Intelligence (AI) in mental health education [1][10]. AI Empowerment in University Mental Health Education - AI is being integrated into university mental health services through five key areas: intelligent screening, information integration, process intervention, effect evaluation, and psychological literacy enhancement [1]. - Intelligent screening and risk warning systems using AI can improve the accuracy and timeliness of mental health assessments by utilizing natural language processing, voice recognition, and micro-expression analysis [2]. - AI can create dynamic psychological profiles by integrating various data sources, allowing for continuous tracking of students' mental health and tailored interventions [2]. - Process interventions include online counseling platforms and AI chatbots providing 24/7 support, along with immersive training scenarios using VR/AR technologies for emotional regulation and social skills enhancement [3]. - Dynamic assessment and feedback mechanisms enable tracking of student progress and intervention effectiveness, providing valuable insights for mental health educators [3]. - Personalized psychological literacy training can be achieved through AI-driven educational resources, enhancing engagement and adaptability in mental health education [4]. Challenges in AI Empowerment - Ethical and data security concerns arise from the collection of sensitive student data, necessitating strict regulations to protect privacy [6]. - Systemic misjudgments and technical biases can limit the effectiveness of AI interventions, as individual emotional states are complex and subjective [6][7]. - The tendency for generalized AI tools may undermine professional interventions, emphasizing the need for a balance between technology and human interaction in mental health support [7]. Recommendations for Development - Establishing ethical guidelines and data protection standards for AI applications in mental health education is crucial to safeguard student privacy [8]. - Creating a collaborative response mechanism among various departments within universities can enhance the effectiveness of AI-driven mental health services [8]. - Maintaining a humanistic approach in mental health services is essential, ensuring that emotional support and personalized care are not lost in the reliance on technology [9]. - Enhancing the digital literacy of mental health educators is necessary for the effective application of AI tools, promoting a collaborative development of psychological services [9]. Conclusion - The integration of AI in university mental health education presents both opportunities and challenges, requiring a strategic approach that prioritizes ethical considerations and human-centered care while leveraging technological advancements [10].

Core Viewpoint - The article emphasizes the importance of addressing college students' mental health issues as a critical factor affecting the quality of higher education, proposing a comprehensive management system based on big data to enhance prevention, intervention, and recovery strategies [1] Group 1: Prediction Phase - The prediction phase focuses on accurately identifying potential risks by establishing a multi-data collection and dynamic early warning mechanism for college students' mental health education [2] - It involves deep data integration and analysis, capturing students' behaviors and emotional changes through various platforms, including academic performance and social interactions [2] - Environmental factors, such as weather and social contexts, are monitored to assess their impact on students' mental health, particularly during high-stress periods like exams and graduation [2] Group 2: Prevention Phase - The prevention phase advocates for tiered and targeted strategies in mental health education, combining technological empowerment with humanistic care to create a supportive campus environment [4] - Primary prevention includes universal education for at-risk students, utilizing VR technology to simulate stress scenarios and conducting regular mental health assessments [4] - Secondary intervention involves tailored support for low and medium-risk students through online and offline resources, including mental health platforms and professional counseling [4] Group 3: Response Phase - The response phase outlines the need for urgent intervention for high-risk students, ensuring privacy and ethical compliance while coordinating with mental health centers and families [6][7] - A three-tiered treatment approach is proposed, involving emergency interventions, collaborative care among healthcare providers, and personalized follow-up services [7] - Emphasis is placed on protecting student privacy and adhering to ethical standards in mental health interventions [7] Group 4: Recovery Phase - The recovery phase highlights the necessity of a collaborative support network involving schools, families, and healthcare providers to assist students in transitioning from crisis to functional recovery [8] - It suggests creating a multi-dimensional support system that integrates various stakeholders to monitor and address students' mental health needs continuously [8] - The article advocates for a comprehensive support system that spans all stages of student development, from initial enrollment to graduation [9]