KnowledgeTree: a distributed architecture for adaptive e-learning
KnowledgeTree: a distributed architecture for adaptive e-learning
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DOI：
10.1145/1013367.1013386
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发表时间：
2004-05
期刊：
影响因子：
--
通讯作者：
Peter Brusilovsky
中科院分区：
文献类型：
--
作者：
Peter Brusilovsky
提出了一种基于分布式可重用智能学习活动的自适应E-Learning体系结构KnowledgeTree。知识树的目标是弥合目前流行的以学习管理系统为中心的基于网络的教育方法与强大但未充分利用的智能辅导和自适应超媒体技术之间的差距。这种集成体系结构试图解决自适应系统的基于组件的组装和教师级的可重用性。
This paper presents KnowledgeTree, an architecture for adaptive E-Learning based on distributed reusable intelligent learning activities. The goal of KnowledgeTree is to bridge the gap between the currently popular approach to Web-based education, which is centered on learning management systems vs. the powerful but underused technologies in intelligent tutoring and adaptive hypermedia. This integrative architecture attempts to address both the component-based assembly of adaptive systems and teacher-level reusability.