基于决策树技术的个性化学习系统的分析设计

摘要

科学和社会的进步为教育的发展提供了机遇,同时也提出了巨大的挑战.目前,在线学习在全球已普遍展开,但大都是传统的学习机制,没有充分考虑学生的个性化需求,是要求学生适应系统,而不是系统去适应学生,这就造成了学习效果、交互性差等众多问题.针对此些问题,将个性化的学习理论和基于决策树的数据挖掘技术应用到在线学习系统,提出了一种全新的在线学习模式,并构建了个性化的学生模型,对个性化的学习系统作了全面的分析与详细的设计,力求从数据挖掘的角度分析和解决个性化在线学习的问题,使在线学习系统改变传统的学习机制,更好地把个性化学习作为一种服务提供给学生,在真正意义上实现在线学习的个性化,从而保证在线教学的效果和质量.%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.