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基于因子分析法的大学就业质量评价系统
引用本文:李琨.基于因子分析法的大学就业质量评价系统[J].信息技术,2022(2).
作者姓名:李琨
作者单位:华南理工大学公共管理学院
摘    要:面对大学就业质量评价过程复杂、评价精度低的问题,设计基于因子分析法的大学就业质量评价系统,提高大学就业质量评价效果。依据系统数据库存储的大学就业相关数据,数据服务层实施数据管理与数据存储,业务层的前台管理子模块通过问卷调查法实现数据采集,再采用基于因子分析法的大学就业质量评价模型实现大学生就业质量评价,业务层的后台管理子模块将评价结果反馈到表现层呈现给用户。实验结果表明,该系统在响应用户的操作指令时,系统平均响应时延低至28ms,响应速度快;系统的大学就业质量评价准确率高达98%;系统稳定性好,平均中断概率低至0.2%。

关 键 词:因子分析法  大学生就业  质量评价  数据采集  业务层

University employment quality evaluation system based on factor analysis
LI Kun.University employment quality evaluation system based on factor analysis[J].Information Technology,2022(2).
Authors:LI Kun
Affiliation:(School of Public Administration,South China University of Technology,Guangzhou 510641,China)
Abstract:Faced with the problems of complex process and low accuracy of college employment quality evaluation,the college employment quality evaluation system based on factor analysis is designed to improve the evaluation effect of college employment quality.According to the related data of the university employment system database stored in the system database as well as the data management and storage from data service layer,the data acquisition is realized by questionnaire investigation method from the front of the business layer management module,and then the university students’employment quality evaluation is achieved by model of college employment quality evaluation based on factor analysis method,after which,the performance evaluation result feedback would be sent to the users in presentation from the layer of background management module.The experiment results show that the average response time delay of the system is as low as 28ms when responding to the user’s operation instructions,and the response speed is fast.The accuracy rate of systematic college employment quality evaluation is as high as 98%.The system has good stability,and the average interrupt probability is as low as 0.2%.
Keywords:factor analysis  college students’employment  quality evaluation  data collection  business level
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