Discovering Learning Objects Usability Characteristics

Alfredo Zapata, Víctor Hugo Menéndez Domínguez, Manuel E. Prieto
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引用次数: 8

Abstract

Metadata is the key to describe Learning Objects. Through them, we can search and reuse these resources. However, there are pedagogical and usability characteristics that metadata do not normally contain. Sources of additional information such as activity log registers in repositories can help to specify such attributes. Data mining techniques allow identifying Learning Objects usability characteristics. This paper presents the results of applying a knowledge extraction methodology to Learning Objects through the use of four data sources: metadata, pedagogical quality evaluations, user’s profiles, and log files from Learning Objects management systems.
发现学习对象的可用性特征
元数据是描述学习对象的关键。通过它们,我们可以搜索和再利用这些资源。然而,元数据通常不包含教学和可用性特征。其他信息源(如存储库中的活动日志寄存器)可以帮助指定此类属性。数据挖掘技术允许识别学习对象的可用性特征。本文通过使用四种数据源(元数据、教学质量评估、用户档案和来自学习对象管理系统的日志文件),介绍了将知识提取方法应用于学习对象的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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