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基于LOM的人工智能教学资源整合与个性化学习导航
引用本文:段琢华.基于LOM的人工智能教学资源整合与个性化学习导航[J].计算机教育,2010(19):154-157.
作者姓名:段琢华
作者单位:韶关学院,计算机科学学院,广东,韶关,512003
摘    要:学习对象元数据(LOM,Learning Object Metadata)是IEEE采用的一种表示学习对象(教学资源)信息的规范,本文采用LOM规范管理网络教学资源,通过LOM中的"关系"元素表示教学资源之间的依赖关系,构造从LOM到扩展知识结构图的转换接口,从而利用基于扩展知识结构图的教学规划方法为学习者提供个性化学习导航。以人工智能教学资源整合和学习导航为例加以说明。

关 键 词:学习对象元数据  学习导航  资源整合

Tutorial Material Integration and Learning Navigation for Artificial Intelligence Based on LOM
DUAN Zhuo-hua.Tutorial Material Integration and Learning Navigation for Artificial Intelligence Based on LOM[J].Computor Education,2010(19):154-157.
Authors:DUAN Zhuo-hua
Affiliation:DUAN Zhuo-hua (School of Computer Science, Shaoguan University, Shaoguan 512003, China)
Abstract:Learning Object Metadata (LOM) is a standard for tutorial material adopted by IEEE. In this paper, LOM is employed to integrate tutorial material of the Internet, the dependences of tutorial material are represented with "relation" elements of LOM. LOM information is then tranformed to Extended Knowledge Stucture Graph(EKSG), Individual learning navigation is designed based on EKSG. An example of A* algorithm in artificial intelligence is used to illustrate the ideas of the paper.
Keywords:learning object metadata  learning navigation  material integration
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