摘要
由于我国高校招生规模不断扩大,传统的学生管理方式已经难以满足现代化教育的需求,文章基于关联规则挖掘算法的高校学生智慧化管理系统。该文章设计了一个包括前端界面、应用服务层、数据逻辑层和数据存储层的高校学生管理系统的B/S架构。基于关联规则挖掘算法实现智慧化教学管理;采用加权模糊推理算法进行学生心理健康服务。测试结果表明,在高并发用户条件下设计系统的事务处理能力与服务器资源使用情况等性能指标表现良好,满足用户实际使用需求,对于提高学生管理效率、保障高校教学质量具有重要意义。
Due to the continuous expansion of college enrollment scale in China,the traditional student management mode has been difficult to meet the needs of modern education,and design the college student management system of related rules mining algorithm.This paper designed a B/S architecture of college student management systemincluding the front-end interface,application service layer,data logic layer and data storage layer.Intelligent teaching management based on association rule mining algorithm;weighted fuzzy reasoning algorithms to serve students’mental health.The test results show that the performance indicators such as transaction processing capacity and server resource usage of the design system under high concurrent users can meet the actual needs of users.The article is of great significance to improve the efficiency of student management and guaranteeing the university teaching quality.
作者
姜多华
JIANG Duohua(YuZhang Normal University,Nanchang Jiangxi 330103,China;Nanchang Normal College of Applied Technology,Nanchang Jiangxi 330108,China)
出处
《长江信息通信》
2024年第12期155-157,共3页
Changjiang Information & Communications
基金
江西省教育厅科学技术研究项目(GJJ219009)。
关键词
关联规则挖掘算法
高校学生管理
智慧化管理系统
系统设计
教学管理
association rule mining algorithm
university student management
intelligent management system
system design and teaching management
