International Open Access Journal Platform

人工智能驱动山东高校心理预警体系实践

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

Theory and Practice of Psychological Counseling / 2026,8(3): 97-106 / 2026-03-10 169 138

View Download PDF

• Authors: 强景 闫迎春 王胜川
• Information:

  济宁医学院，济宁

• Keywords:
  Artificial intelligence; Psychological early warning system; College mental health education; Psychological intervention practice
  人工智能; 心理预警体系; 高校心理健康教育; 心理干预实践
• Abstract: Under the dual background of the in-depth advancement of educational digital transformation and the increasingly complex mental health problems of students, the traditional mental health management mode in colleges and universities has some prominent problems, such as lagging identification and insufficient intervention accuracy. Relying on the research results of the project “Research on the Construction of Shandong Students’ Mental Health Identification and Early Warning System Based on Artificial Intelligence”, taking Shandong university students as the research object, from the three-dimensional perspectives of cultural adaptation, ethical protection and practical implementation, we will build an artificial intelligence psychological early warning system oriented by “technology implementation + educational practice”. Combined with the Confucian cultural characteristics of Shandong students, it Builds a multimodal data collection mechanism that takes into account both data validity and privacy protection, develop a hierarchical intelligent identification model, and establish a closed-loop intervention system with technology empowerment, humanistic care and system support, so as to provide operable technical solutions for the practice of mental health education in colleges and universities, help the standardized implementation of mental health services, and offer replicable practical solutions for the intelligent upgrading of mental health services in colleges and universities. 在教育数字化转型深入推进与学生心理健康问题日益复杂的双重背景下，传统高校心理健康管理模式存在识别滞后、干预精准度不足等突出问题。依托“基于人工智能的山东省学生心理健康识别及预警体系建设研究”课题成果，以山东高校学生为研究对象，从文化适配、伦理保障、实践落地三维视角，构建“技术落地+教育实践”导向的人工智能心理预警体系：结合山东学生儒家文化特质，搭建兼顾数据有效性与隐私保护的多模态数据采集机制，研发分层分类的智能识别模型，建立技术赋能、人文关怀、制度支撑相融合的闭环干预体系，为高校心理健康教育实践提供可操作的技术方案，助力心理健康服务规范化落地，同时为高校心理健康服务智能化升级提供可复制的实践方案。
• DOI: https://doi.org/10.35534/tppc.0803014 (registering DOI)
• Cite: 强景, 闫迎春, 王胜川. (2026). 人工智能驱动山东高校心理预警体系实践. 心理咨询理论与实践, 8(3), 97-106.