摘要
常规课程管理系统不具有处理大量教育课程信息的能力,在大学生心理素质教育课程管理工作中会存在管理效率低、管理效果不明显的问题,为此,文中利用数据挖掘技术实现对教育课程管理系统的优化设计。在传统硬件系统的基础上,使用数据输出控制模块,并优化数据通信传输、核心处理器以及存储器模块,并改装系统的接口与连接电路。结合数据挖掘技术的应用方法,收集大学生心理素质教育课程的相关管理数据,并以一定的存储逻辑保存到系统数据库中,以数据挖掘的数据结果为基础,通过对选定心理素质教育课程、课程操作管理以及课程资源管理等部分的设计,实现对心理素质教育课程的管理功能。经过系统测试结果表明,通过数据挖掘技术优化的教育课程管理系统,能够更有效地提升系统的管理效率,并且在系统的兼容性方面更加具有优势。
The conventional curriculum management system does not have the ability to deal with a large number of educational curriculum information,and has problems of low management efficiency and not obvious management effect in the course management of college students'psychological quality education.Therefore,the optimization design of education curriculum management system is carried out by means of the data mining technology.On the basis of the traditional hardware system,the data output control module is design,the data communication transmission,core processor and memory module are optimized,and the interface and connection circuit of the system are modified.In combination with the applied method of data mining technology,the relevant management data of psychological diathesis education course for college students are collected,and saved in the system database in certain storage logic.On the basis of the results of data mining,the management function of psychological diathesis education curriculums is realized after completing the selection of psychological diathesis education courses,and design of course operation management and course resource management.The system test results show that education curriculum management system optimized with the data mining technology can improve the management efficiency of the system effectively,and has more advantages in the system compatibility.
作者
阚银环
张峻
KAN Yinhuan;ZHANG Jun(Zhujiang College,South China Agricultural University,Guangzhou 510900,China)
出处
《现代电子技术》
2021年第18期101-106,共6页
Modern Electronics Technique
基金
广东省自然科学基金项目(2018A030310363)
2019年度广东省高等教育教学改革项目(752综合类教改项目)。
关键词
心理素质教育
课程管理
数据挖掘
优化设计
电路改装
数据收集
数据保存
psychological diathesis education
curriculum management
data mining
optimization design
circuit modification
data collection
data saving