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Ontology Based Teaching Domain Knowledge Management for E?Learning by Doing Systems

机译:基于本体的Doing系统教学领域知识管理

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This paper is about an ontological representation of a teaching domain (a discipline) in the case of an e?learning by doing purpose. Going from our precedent works about using ontologies for modeling specific domains such as algorithmic and relational databases, we show in this paper that it is possible to generalize our approach to any domain based on e?learning by doing mode. The model introduced here shows a domain through two points of views: the specification view given by the ontology and the resources view generally known in e?learning as learning objects. The specification ontology is a granular model where the knowledge of a considered domain is stored, making the use of the ontology for resources retrieval (web semantic use) or for any other learning or teaching activity guided by the domain semantic. This model has been successfully implemented in different learning by doing systems for computer science domains in particular for linear programming in addition to algorithmic and relational databases learning. Among the novelties of this model, we have the possible propagation of the learner?s evaluation results to each defined components of the expert domain allowing adaptive content generation. The second novelty is related to the integration of pedagogical resources descriptors described using some data elements from the LOM standard metadata scheme. This will give connection between the ontology concepts (considered at the instance level as semantic annotations) to the domain pedagogical resources, what makes the model significantly more powerful.??.
机译:本文是关于通过目的进行电子学习的情况下,教学领域(学科)的本体表示。从我们关于使用本体建模特定领域(例如算法和关系数据库)的先例开始,我们在本文中表明,可以通过边做边学模式将我们的方法推广到任何领域。这里介绍的模型通过两个角度显示了一个域:本体给出的规范视图和在电子学习中通常称为学习对象的资源视图。规范本体是一个粒度模型,用于存储所考虑领域的知识,从而将该本体用于资源检索(Web语义使用)或由领域语义指导的任何其他学习或教学活动。通过执行除算法和关系数据库学习之外的计算机科学领域(尤其是线性编程)系统,该模型已在不同的学习中成功实现。在该模型的新颖性中,我们可以将学习者的评估结果传播到专家域的每个已定义组件,从而允许自适应内容生成。第二个新颖性与教学资源描述符的集成有关,该资源使用LOM标准元数据方案中的某些数据元素进行描述。这将使本体概念之间的联系(在实例级别上被视为语义注释)与领域的教学资源之间的联系,使模型显着更强大。

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