微型电脑应用2018，Vol.34Issue(1)：53-57,5.
基于决策树技术的个性化学习系统的分析设计
The Analysis and Design of the Personalized Learning System Based on Decision Tree
摘要
Abstract
The advancements in science and society offers opportunities,also posing great challenges to the development of education.Currently,on-line study has been implemented globally.However,the on-line study systems still adopt traditional learning mechanisms,lacking due consideration of students' individual needs.Basically,the systems are not customized for the students,instead,the students adapt themselves to such systems,which caused problems like unsatisfactory learning effects and insufficient interactivity.Targeted at the above-mentioned problems,the article applies personalized learning theory and the decision tree-based data mining technology to on-line study systems,putting forward a new on-line learning model,constructing the personalized student model.On the basis of the comprehensive analysis and detailed designing of on-line learning system,the article aims to explore and solve the problems of personalized on-line learning from the perspective of data mining,transforming the traditional learning mechanisms in current on-line study systems to provide personalized learning as a service,to effect the personalization of on-line study systems in a real sense as a guarantee of the effect and quality of on-line teaching.关键词
个性化学习/决策树技术/应用分析/系统设计Key words
Personalized Learning/Decision Tree/Application Analysis/System Design分类
信息技术与安全科学引用本文复制引用
明巧英..基于决策树技术的个性化学习系统的分析设计[J].微型电脑应用,2018,34(1):53-57,5.基金项目
院级课题(K16B02) （K16B02）
