班级学习辅助管系统研究与实现
2018-11-07欧家豪宋万里
欧家豪 宋万里
摘要:该文立足于学生信息管理系统,围绕着班级师生的学习与工作,探讨对学生学习上辅助服务的可能性。通过建立班级论坛、班级文件、成绩管理等模块提供给学生辅助性帮助。通过分组管理为班级管理者解决成员分组带来的困扰。通过大量的学生成绩数据再加上Apriori关联规则挖掘算法,发现隐藏的课程关联,为课程设置的合理性与成绩预警提供依据。再通过常规的个人班级排名及与班级均分的比较为班级成员提供成绩预警。班级学习辅助管理系统,旨在为学生提供学习上的监督与反馈,为老师提供更好的管理与服务手段,以数字化、智能化、综合化为方向,为班级师生打造一个共同成长、共同进步的管理系统。
关键词:成绩预警;分组算法;关联规则挖掘;Apriori
中图分类号:TP311.5 文献标识码: A 文章编号:1009-3044(2018)21-0110-03
Abstract: Based on the student information management system, this article focuses on the learning and work of class teachers and students and explores the possibility of assisting students in learning. Through the establishment of class forums, class documents, grade management and other modules to provide students with help. Manage the problems of member grouping by the grouping algorithm for the class management. Through a large number of student achievement data, Apriori association rule mining algorithm is used to discover hidden lesson associations and provide basis for the rationality of course setting and early warning of scores. Again, class leaders are provided with early warnings through regular individual class rankings and class averages. The Class Learning Assistant Management System aims to provide students with supervision and feedback on learning, provide teachers with better management and service tools. The Class Learning Assistant Management System is oriented towards digitization, intelligence, and integration to create a management system for class teachers and students to grow together and progress together.
Key words: performance warning; grouping algorithm; association rule mining; Apriori
1 背景
班级学习辅助管理系统的开发始于班级信息管理系统[1],伴随着互联网技术和数据挖掘技术的发展而长足进步,班级门户网站不再止步于对信息的存储。它将信息管理系统中累积的数据进行处理加工,以期挖掘潜在的数据价值,为学生配置更优的学习资源。
该文为提高在校学生学习生活的质量,提供了班级相册、文件、公告、论坛等功能,藉以增强系统的多样性[2];方便班级学生、班委和老师;反馈学生的学习生活情况,实现信息互动交流和基础数据的共享,通过信息化的管理手段来实现班级管理的高效运作,为各类学生日常事务的管理提供良好的服务平台。……
