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A Multi-Expert Knowledge Acquisition and Integration Approach to Supporting Content Design for Ubiquitous Learning

机译:支持泛在学习的内容设计的多专家知识获取和集成方法

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In this study, a ubiquitous learning content design system is proposed based on a multi-expert version of a knowledge acquisition method, namely EMCUD (Embedded Meaning Capturing and Uncertainty Deciding).In ubiquitous learning activities, learning targets are represented as objects with corresponding attributes. The learning content design system assists a group of teachers to collaboratively determine and describe the learning targets and the relationships between them by providing an object integration module, an attribute integration module, an attribute value integration module, and an Attribute-Ordering Table (AOT) integration module. The integrated information is deposited in a learning material database of a ubiquitous learning environment which enables students to learn in the real world with access to the supplementary digital learning content.
机译:本研究提出了一种基于知识获取方法的多专家版本的普遍学习内容设计系统,即EMCUD(嵌入式含义捕获和不确定性决定)。在普遍学习活动中,学习目标表示为具有相应属性的对象。学习内容设计系统通过提供对象集成模块,属性集成模块,属性值集成模块和属性排序表(AOT),协助一组教师共同确定和描述学习目标及其之间的关系。集成模块。集成的信息存储在无处不在的学习环境的学习资料数据库中,使学生能够通过访问补充数字学习内容在现实世界中学习。

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