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Enrichment of learner profile through the semantic analysis of the learner's query on the Web

机译:通过对网上学习者查询的语义分析来丰富学习者

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The learning systems are designed for learning about a particular area. Then, it is usually necessary to know the state of knowledge of the learner on a domain before customizing or adapting the learning process. In this paper, we are interested in the semantic analysis of the learner's query put on the WEB by using the domain ontology. The purpose of this analysis is to identify the concepts of domain that are most asked on the Web and to keep them into the learner's model as concepts not well mastered. We hypothesize that all concepts sought on the web via the search engine can be considered as knowledge poorly or badly acquired by learners and deserve thus more attention and consideration both by the tutor for the pedagogical monitoring of learners on these concepts and from the designer of course, to restructure and more enrich the educational content which articulates these concepts identified beforehand in this analysis.
机译:学习系统旨在学习特定区域。然后,通常需要在自定义或调整学习过程之前了解域上学习者的知识状态。在本文中,我们对通过使用域本体进行了学习者查询的语义分析感兴趣。该分析的目的是识别网络上最多询问的域的概念,并将其保留进入学习者的模型,因为概念并不好掌握。我们假设通过搜索引擎在网上寻求的所有概念都可以被认为是学习者所获得的知识,因此在这些概念和设计师那里的学习者的教学监测方面的教师和考虑都会更加关注和考虑重组和更丰富教育内容,在此分析中预先确定了这些概念。

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