Study on agent-based intelligent feedback system in online teaching and interactive learning

被引：0

作者：

机构：

[1] College of Computer Science, Xi'an Polytechnic University, 710048, Xi'an

来源：

Li, L. | 1600年 / Asian Network for Scientific Information卷 / 12期

关键词：

Agent technology; Apriori algorithm; Data mining; Eigenvalue extraction; Intelligent feedback; Interactive learning; Online teaching;

D O I：

10.3923/itj.2013.763.769

中图分类号：

学科分类号：

摘要：

As a new education pattern, online teaching and interactive learning teaching breaks the constraints of time and space of the traditional teaching mode, but it has an obvious deficiency in personalized teaching which advocates teaching students in according to their aptitude. In order to solve this problem, on the base of the traditional network teaching system, it is necessary to increase an intelligence feedback system which is responsible for the task of such as adaptively pushing and updating the learning content, presenting the personalized home page, intelligently answering questions from the learner and so on. In online teaching and interactive learning practice, using this agent-based intelligent feedback system greatly enhanced the effect of personalized teaching and also promoted the development of the online teaching and interactive learning system. © 2013 Asian Network for Scientific Information.

引用

页码：763 / 769

页数：6

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