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首页> 外文期刊>International journal of learning and intellectual capital >Semantic web technologies anchored in learning styles as catalysts towards personalising the learning process
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Semantic web technologies anchored in learning styles as catalysts towards personalising the learning process

机译：语义网络技术以学习风格为基础，是个性化学习过程的催化剂

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摘要

The evolution of telecommunications, information and multimedia technologies compel for the design of platforms that support the e-learning processes in a multimodal variety. These platforms benefit from the web resources to enhance their courses. However, the structure of the web is labyrinthine and the facilitation of the learner to the personalised content retrieval in these complex information environments is of great significance. This paper submits a method emerging from the semantic web technologies, such as metadata and ontologies, which is embedded in a constructivist socio-psycho-pedagogical model. The method personalises material based on the alignment of properties of the learning resources and the profile of the e-learners, as derived from their learning style in conjunction with other personality and demographic characteristics. An application is described using an experimental case that exemplifies the proposal. The initial findings justify an optimistic view for future precision in information retrieval and efficient matching of the learners' requirements with the educational content.
机译：电信，信息和多媒体技术的发展迫使人们必须设计支持多种模式的电子学习过程的平台。这些平台受益于Web资源，以增强其课程。但是，Web的结构是迷宫式的，在这些复杂的信息环境中促进学习者进行个性化内容检索非常重要。本文提出了一种从语义网络技术中出现的方法，例如元数据和本体，它被嵌入到建构主义的社会心理教育模型中。该方法根据学习资源的属性和电子学习者的个人资料的对齐方式来个性化资料，这些学习者是从学习风格以及其他个性和人口统计学特征中得出的。使用示例性提案的实验案例来描述应用程序。最初的发现证明了对信息检索的未来准确性以及学习者需求与教育内容的有效匹配的乐观看法。

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