基于数据挖掘与智能算法的学生心理状态预警系统设计  

Design of early warning system for students’ psychological state based on data mining and intelligent algorithms

作　　者：毛俊杰[1] 李昌锋[1] 祝和意[1] 吕泊怡 MAO Jun-jie;LI Chang-feng;ZHU He-yi;LV Bo-yi(Shaanxi Vocational and Technical College of Railway Engineering,Weinan 714000,China)

机构地区：[1]陕西铁路工程职业技术学院,陕西渭南714000

出　　处：《电子设计工程》2020年第15期52-56,共5页Electronic Design Engineering

基　　金：陕西省2018年高校辅导员工作研究课题(2018FKT31);陕西省教育厅专项科研课题(17JK0168)。

摘　　要：针对当前在高校学生心理辅导工作中学生的心理数据获取困难、分析主观性强、智能化程度低、效率低下等问题,文中设计了一种基于数据挖掘与智能算法的学生心理状态预警系统。该系统利用高精度景深摄像头作为数据采集设备,将学生的面部数据作为心理分析的原始数据,通过数据挖掘的方法对原始数据进行处理。引入人工智能算法对心理数据进行分析,并根据分类状态对心理异常学生进行及时预警。该系统相比于传统人工调查的方法具有实现难度低、执行效率高、时效性好等优点。在实际测试中,对学生异常心理状态的预警正确率达到了88.6%,证明了系统的有效性。In view of the difficulties in obtaining psychological data,the strong subjectivity of analysis,the low level of intelligence,and the low efficiency of students’psychological counseling,this paper designs an early warning system of students’psychological state based on data mining and intelligent algorithm.The system uses the high-precision depth of field camera as the data acquisition equipment,takes the students’facial data as the original data of psychological analysis,and processes the original data through the method of data mining.The introduction of artificial intelligence algorithm to analyze psychological data,and according to the classification of the state of mental disorders of students for timely warning.Compared with the traditional manual survey method,the system has the advantages of low difficulty,high efficiency and timeliness.In the actual test,the correct rate of early warning for students’abnormal psychological state is 88.6%,which proves the effectiveness of the system.

关 键 词：人工智能 数据挖掘 心理分析 预警系统 高校心理辅导 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]