School of Energy and Power Engineering, North University of China, Taiyuan, Shanxi 0300051, China.
J Environ Public Health. 2022 Sep 19;2022:2654437. doi: 10.1155/2022/2654437. eCollection 2022.
In recent years, college students' psychological problems have occurred frequently, and the early warning of college students' psychological crisis has received social attention. Artificial intelligence and big data, as emerging technologies that have attracted much attention in recent years, have broad application and development space in improving the development of intelligent and refined education in colleges and universities. Applying artificial intelligence and big data to the practice of college students' mental health education plays a very positive role in accurately finding and scientifically solving college students' mental health problems. This paper combs the current application and research of artificial intelligence and big data in college students' mental health education and then clarifies the problems existing in the practical application. Finally, on the basis of in-depth analysis of the characteristics of college students' psychological crisis, the paper designs college students' psychological crisis early warning data collection system from six aspects, including the educational administration system and the access control system. And from the aspects of establishing a multilevel linkage feedback early warning system, building a team of big data technical personnel and mental health education personnel, it puts forward countermeasures for college students' psychological crisis, so as to provide theoretical and methodological support for college mental health management.
近年来，大学生心理问题频发，大学生心理危机预警受到社会关注。人工智能和大数据作为近年来备受关注的新兴技术，在提升高校智能精致化教育发展方面具有广阔的应用和发展空间。将人工智能和大数据应用于大学生心理健康教育实践中，对于准确发现和科学解决大学生心理健康问题具有非常积极的作用。本文梳理了人工智能和大数据在大学生心理健康教育中的应用和研究现状，然后阐明了实际应用中存在的问题。最后，在深入分析大学生心理危机特点的基础上，从教务系统和门禁系统等六个方面设计了大学生心理危机预警数据采集系统。并从建立多层次联动反馈预警系统、组建大数据技术人员和心理健康教育人员队伍等方面，提出了大学生心理危机的应对策略，为高校心理健康管理提供理论和方法支持。
