摘要
在智能教学系统中,知识模型是专家模型的核心,是实现智能教学的一个关键问题。本文讨论知识点及其相互关系的形式表示,提出基于LOM的知识点模型与学习控制策略。知识点被设计、封装为学习对象,提高了学习内容的可重用性、可管理性、可定制性与互操作性。LOM的语义描述能力,使得系统本身具有一定程度的知识理解能力。以知识点LOM模型为结点的知识网络是语义网络,其语义计算能力便于知识的发现与关联。将专家知识网络动态映射为学生知识网络,实现了个性化学习。
As the core of expert model,knowledge representation is a key problem for intelligent teaching in ITS.Form representation of knowledge topics and their relation are discussed.A model of knowledge topics and learning control strategy based on LOM are presented.Knowledge topics are designed and packaged as learning objects,so reusability,manageability,customizability and interoperability of learning contents are improved.ITS itself has some knowledge understanding ability based on semantic description ability of LOM.Knowledge can be discovered and associated based on semantic computing ability of knowledge network whose nodes are LOM model.Personalized learning is realized by mapping dynamically expert knowledge network into the students knowledge network.
出处
《计算机与现代化》
2012年第5期149-151,156,共4页
Computer and Modernization
基金
湖北省教育科学"十一五"规划课题(2010B338)
关键词
知识表示
学习控制
LOM
智能教学系统
知识库
知识网络
knowledge representation
learning control
LOM
intelligent tutoring system
knowledge base
knowledge network
