摘要
研究了基于数据挖掘的Internet远程教学模型和方法,提出利用数据挖掘解决基于Internet的远程教学还存在的诸如怎样获得准确的反馈信息、怎样实现个性化学习、怎样实现自动答疑等问题的思想。研究表明,数据挖掘可以解决Internet远程教学中现有的一些问题,促进Internet远程教学的发展。
There are some questions in Internet-based Distance Teaching (IDT) at present, such as how to gain exact information from large masses of feedback data, how to provide customized web learning environment, how to implement automated question answering system, etc. This article presents how to apply data mining technology to resolve these questions and gives a model for it. Our research shows data mining technology can resolve some questions in IDT.
出处
《电子科技大学学报》
EI
CAS
CSCD
北大核心
2006年第6期953-955,959,共4页
Journal of University of Electronic Science and Technology of China
关键词
远程教学
数据挖掘
显式反馈
隐式反馈
间接交互
distance teaching
data mining
implicit feedback
explicit feedback
indirect intercourse