摘要
针对目前高校大学生心理健康评测效果较差,导致无法采取相关应对措施的问题,文中将大数据技术作为基础,设计一个心理健康智能评测系统。以大数据技术为基础构建系统整体结构,通过基础层采集有效信息传递至数据层存储,分析层调用数据层中的学生信息与心理健康评测资料,对评测内容实行分类并提取学生性格特征传递至决策层和接口层;决策层依据心理健康评测模块中的层次分析法,构建判断矩阵,经一致性分析,确定各指标权重,根据权重构建综合评价模型;决策层将评测结果经接口层传递至应用层,通过移动终端或者PC终端向使用者展示评测结果。经分析,该系统能够有效评测大学生心理健康状况,能够依据评测结果对学生进行心理辅导,学生心理健康状况得到有效改善。
In view of the poor effect of evaluation of the college students′mental health status,which causes the impossibility for making a relevant solution,a mental health intelligent evaluation system is designed and the system overall structure is built on the basis of big data technology.In the system,the base layer is used to collect the effective information and transfer it to the data layer for storage,and the analysis layer is applied to calling the students′information and mental health status evaluation data in the data layer,classifying the evaluation contents,extracting the students′personality traits and transferring them to decision-making layer and the interface layer.The judgment matrix is constructed by the decision-making layer according to the analytic hierarchy process(AHP)in the mental health evaluation module.The index weight is determined on the basis of consistency analysis.According to the weight,the comprehensive evaluation model is constructed.The evaluation result is transmitted to the application layer through the interface by decision-making layer,and displayed to the user through the mobile terminal or PC terminal.The analysis results indicate that the system can effectively evaluate the mental health status of college students,and make the guidance for the students who are falling down into abnormal mental status according to the evaluation results,so as to effectively improve the mental health status of the students.
作者
周晓东
梅琳
ZHOU Xiaodong;MEI Lin(China University of Petroleum,Qingdao 266580,China)
出处
《现代电子技术》
2021年第14期95-99,共5页
Modern Electronics Technique
基金
山东省自然科学基金资助项目(ZR2019PEE022)
中国石油大学(华东)2020年度思想政治教育研究项目(20SZY13)。
关键词
心理健康
智能评测
大数据技术
一致性分析
指标权重
评价模型
判断矩阵
mental health
intelligent evaluation
big data technology
consistency analysis
index weight
evaluation model
judgment matrix
