基于大数据技术的高校学生心理健康动态评价体系研究

On the Dynamic Evaluation System of University and College Students'Mental Health Based on Big Data Technology

借助大数据人工智能算法技术对高校心理健康的各项指标进行筛选与性能评估,并运用层次分析法,选取13项高校学生心理健康动态评价指标,研究各项指标对学生心理健康动态评价的影响程度,能够更好的反映出高校学生心理健康工作开展的情况,以及了解学生现阶段心理健康存在的问题。结果显示,高校非常重视学生心理健康辅导工作,在大数据背景下,高校学生心理健康教育工作应着重从构建心理健康数据平台、完善大数据高校学生心理健康动态评价体系等方面出发,建立高校学生心理健康动态评价体系。

With the algorithm of big data artificial intelligence and Analytic Hierarchy Process(AHP),this paper screens and evaluates various indicators of students'mental and psychological health in universities and colleges.The thesis,thus,chooses 13 indicators and studies how them affect the dynamic evaluation of students’mental health,which can help understand the development of the work and the students’mental and psychological problems.The statistics suggest that universities pay a lot of attention to students psychological health counseling.In the context of big data,The mental health education of college students should focus on building a mental health data platform and make full use of big data for a better dynamic evaluation system of the mental health of college students.