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An ontology-based approach for learning annotations reuse

机译:基于本体的方法,用于学习注释重用

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In this paper, we present an approach to adapt and reuse learning annotations and contexts by describing the process to capitalization and reuse of learning annotations and associated learning contexts. This is to provide to the actor, an appropriate learning which is reviewed or validated previously by others, with similar learning contexts. The modeling and the formalization of learning annotations and learning contexts will allow to define functions for their comparison and their evaluations, in order to reuse them. We propose our method for of measuring similarities allowing to provide learning annotations dedicated to a given and well-defined pedagogical goal. An alignment between the two types of ontology, respectively that of the annotation and that of the context will provide us with a learning based on annotations according to the current context which requires a pertinent criterion of similarity between the learning contexts and the learning annotations.
机译:在本文中,我们通过描述学习注解和相关学习上下文的大写和重用过程,提出了一种适应和重用学习注解和上下文的方法。这是为了向演员提供适当的学习,并由其他人事先以类似的学习环境对其进行回顾或验证。学习注释和学习上下文的建模和形式化将允许定义用于比较和评估的功能,以便重用它们。我们提出了一种用于测量相似性的方法,从而可以提供针对给定且定义明确的教学目标的学习注释。两种类型的本体(分别是注释的本体和上下文的本体)之间的对齐将为我们提供根据当前上下文的基于注释的学习,这需要学习上下文和学习注释之间的相似性相关标准。

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