自适应教育系统中推荐的质量本体

Isabela Gasparini, Daniel Lichtnow, M. Pimenta, J. Oliveira
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引用次数: 14

摘要

在本文中,我们提出了一个基于本体和学生的模型,为每个学生在电子学习环境中推荐最适合的学习材料。我们的目标是利用学习对象本体为不同场景的学生增加当前系统的个性化能力。这种方法是在一个电子学习环境中开发的:AdaptWeb系统。描述了学生个人资料推荐方面的主要特征,并使用一些示例来讨论和说明如何提供这种个性化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quality Ontology for Recommendation in an Adaptive Educational System
In this paper, we present an ontology-based and student´ model to recommend the most suited material of study for each student in e-learning environments. Our aim is to increment the current systems personalization capabilities for student´s in different scenarios making use of learning objects ontology. This approach is being developed in an e-learning environment: the AdaptWeb system. The main features of the recommendations aspects for student´s profile are described and we use some examples to discuss and illustrate how to provide this personalization.
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