基于决策支持系统的可重用学习对象的自动评估

S. Encheva, S. Tumin
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引用次数: 3

摘要

学习对象一直是全球教育机构非常感兴趣的问题。一旦制定出来,就需要对它们进行分类,并以最有效和可操作的方式提交给有关各方。当附加到学习对象的元数据包含不完整和/或不一致的信息时,必须处理严重的分类问题。建议使用多值逻辑来提供有意义的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automated Evaluation of Reusable Learning Objects via a Decision Support System
Learning objects have been of great interest to educational organizations all over the globe. Once developed they need to be classified and presented to interested parties in the most effective and operational way. Serious classification problems have to be dealt with when the metadata attached to a learning object contains incomplete and/or in-consistent information. Many-valued logic is suggested for providing meaningful recommendations.
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