Practice of Artificial Intelligence-Driven Psychological Early Warning System in Shandong Universities

Key Points

• The aim is to develop an artificial intelligence system to enhance psychological health management in Shandong universities.
• Constructed an AI-driven psychological early warning system based on local cultural context.
• Developed a multi-modal data collection mechanism ensuring data effectiveness and privacy protection.
• Created a layered and categorized intelligent recognition model for early detection.
• Established a closed-loop intervention system combining technical support, human care, and institutional backing.
• Implemented a practical AI system that addresses traditional psychological health management issues.
• Enhanced identification accuracy and intervention strategies for psychological health among students.
• Provided a replicable framework for psychological health service improvement in educational settings.

Abstract