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首页> 外文期刊>International Journal of Emerging Technologies in Learning (iJET) >An Ontology-based Profile for Learner Representation in Learning Networks
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An Ontology-based Profile for Learner Representation in Learning Networks

机译:学习网络中基于学习者表示的基于本体的配置文件

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In the context of lifelong learning, learning networks are emerged as alternative and feasible integrated models that merge pedagogical, organizational, and technological perspectives to support and promote the provision of lifelong learning opportunities. Among the significant issues that arise when setting up a learning network is the question of how to support communication between repositories that employ different schemes for describing learner profiles. To guarantee correct interpretation, a semantic common metadata schema is required. This paper aims to propose an ontological structure for representing a learner profile that augments it with semantics and provides a common vocabulary for the exchange of the different learner's characteristics that can be presented in a learner model. The proposed structure is based on different learner information with respect to well-known learner model specifications. Besides, it reuses terms from well-developed Semantic Web vocabularies which make it semantic web compliant and integrates different domain taxonomies and subject taxonomies that are used as ranges for particular concepts' slots.
机译:在终身学习的背景下,学习网络作为替代性和可行的集成模型而出现,它们融合了教学,组织和技术方面的观点,以支持和促进终身学习机会的提供。建立学习网络时出现的重要问题之一是如何支持采用不同方案描述学习者档案的存储库之间的通信。为了保证正确的解释,需要语义通用的元数据模式。本文旨在提出一种用于表示学习者档案的本体结构,该本体结构用语义对其进行扩充,并为可以在学习者模型中呈现的不同学习者特征的交换提供通用词汇。所提出的结构基于关于著名学习者模型规范的不同学习者信息。此外,它重用了发达的语义网词汇中的术语,使其符合语义网,并集成了用作特定概念版位范围的不同领域分类法和主题分类法。

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