一个基于智能Agent的学习内容物件搜索引擎

随着数字化学习的国际标准SCORM规范被越来越多的组织机构所接受,越来越多的符合SCORM规范的学习内容物件涌现出来,如何在学习者的需求和特定的学习内容物件之间进行匹配将成为越来越重要的问题。文中对SCORM规范及其描述学习素材的LOM标准进行了深入研究,并引入智能代理Agent技术,利用智能Agent技术,对学习内容物件的元数据进行分析,从而获得每个学习内容物件对于学习者需求的满足程度,为解决这个问题作出了有益的尝试。最后,通过一个应用实例给出了该模型的工作原理。

An Agent-Based Search Engine for Learning Material Conformed to SCORM

As the widespread acceptance of the E-learning standard:SCORM(sharable content object reference model),more and more learning materials now conform to SCORM.How to match between the special needs of the learner and the different kinds of learning materials become more urgent.This paper studies the SCORM specification and focuses on its sub-standard:LOM(learning object metadata) standard.By employing the technology of intelligent agent,analyze the metadata of the learning objects to obtain the relativity between the needs of the learner and the learning materials.Finally,give an example to show how this model works.