大数据环境下高校学生的心理预警机制构建  

Construction of psychological warning mechanism for college students in big data environment

作　　者：何小波[1] 陈方方[1] He Xiaobo;Chen Fangfang(Information Center of Chongqing Medical University,Chongqing 400016,China)

机构地区：[1]重庆医科大学信息中心,400016

出　　处：《中华医学教育探索杂志》2021年第6期697-703,共7页Chinese Journal of Medical Education Research

基　　金：2015年重庆市教委高校人文社会科学研究项目(15SKG023)。

摘　　要：将高校学生心理"大数据"与心理专家库数据结合,利用数据挖掘算法提取特征属性,从稳定的算法模型中得出预警结果。此方法构建的心理预警平台,不仅能实时监测学生心理动态,而且能预测其心理行为趋势,弥补传统预警方式的滞后性及准确率低的不足。心理预警平台提供数据支撑,心理预警制度提供运行保障,两者结合形成的心理预警机制,能够为教育工作者提供科学依据,最终达到利用大数据技术提高高校学生心理健康的目标。Combining the psychological"big data"of college students with the data of the psychological expert database,using data mining algorithm to extract characteristic attributes,deriving the warning results from a stable algorithm model,the psychological early warning platform constructed by this method can not only monitor students'psychological dynamics in real time,but also predict their psychological behavior trend,which makes up for the lag and low accuracy of traditional early warning methods.The psychological early warning platform provides data support and the psychological early warning system provides operational guarantee.The psychological early warning mechanism formed by the combination of the two can provide scientific basis for educators and finally achieve the goal of using big data technology to improve the mental health of college students.

关 键 词：大数据 行为数据 数据挖掘 心理预警 

分 类 号：R33[医药卫生—人体生理学]