摘要
传统的智能网络教学系统在适应性和个性化方面存在严重缺陷。基于Web和数据挖掘技术构建了一个智能教学系统的模型,该模型采用人工神经网络、聚类分析等关键技术,获取学生对知识点的理解程度,并对学生学习特征分类,根据学生的不同特征和兴趣点,提供不同的教学策略和教学内容,更有利于实现系统的个性化教学。
There are serious flaws in adaptability and personality of traditional on-line intelligent teaching system. A model of intelligent teaching system based on web and data-mining technology is constructed. In this model, the extent of students＇ understanding the knowledge and classification of learning feature are obtained using artificial neural networks, clustering analysis and other key technologies. Different teaching strategies and materials are provided according to students＇ characteristics and interests which is more conducive to the realization of personalized teaching.
出处
《计算机工程与设计》
CSCD
北大核心
2008年第17期4571-4573,共3页
Computer Engineering and Design
基金
北京市教委重点科技项目暨北京市自然科学基金重点项目(KZ200810028016)
