摘要
目前各大高校基本都建成并应用了网络教学平台,其应用给广大学生带来很大的方便,学生可以对课堂上没有掌握的知识进行再学习,还可以随时选择自己喜欢的课程进行学习,从而使学生的学习效果得到了提升。然而,经调查统计目前平台智能化功能设计不够,各高校应用的教学平台只是把相关的教学资源展现给学生。不能实现根据学生的个性化需求,智能化的推荐学习策略和学习内容,每个学生的学习需求不能得到满足。文章主要研究了决策树分类ID3算法在教学平台中的应用,根据学生的注册信息及进入课程中心学习的记录,进行数据挖掘,形成分类规则。当学生在平台学习时,平台能够智能化的提供学习建议,满足不同学生的学习需求。
At present the major colleges and universities have basically completed and the applied the network teaching platform, which provide our students with great convenience. Students can not only learn knowledge, but also can always learn their favorite courses to, so students learning effect has been improved. However, through the investigation and statistics, the intelligent platform function design is currently inadequate. The application of teaching platform just show related teaching resources to the students and fail to meet the individual needs of students,. This paper mainly studies the application of decision tree classification algorithm in data mining, ID3 algorithm in the teaching platform.According to the students' registration information and the records of the course center, data mining, classification rules are formed. When the students enter the learning center of learning, can provide personalized learning strategies, so as to meet the needs of different levels of student 's study.
出处
《太原大学教育学院学报》
2016年第1期33-36,共4页
Journal of Education Institute of TAIYUAN University
基金
山西工商学院"网络学习平台的建设研究"(201415)
关键词
决策树分类算法
ID3算法
教学平台
学习策略
decision tree classification algorithm
ID3 algorithm
teaching platform
learning strategy
