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Integrated Infrastructure for Ubiquitous Learning

机译:泛在学习的集成基础架构

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摘要

Mobile learning is a reality. However, ubiquitous learning approaches are not at a full level of maturity, much of these approaches lacking proposals aiming to provide its practical use. This paper presents an architecture for ubiquitous learning, which employs the paradigm of ontology-based data access (OBDA) for solving problems related to data integration and access of data sources in complex structures. OBDA techniques are explored to allow access and mapping of contextual data and their integration into a student’s context-aware semantic model. The applicability of this proposal is evaluated through a case study with an e-learning environment and a middleware for ubiquitous computing.
机译:移动学习是现实。但是,无处不在的学习方法还没有完全成熟,其中许多方法都缺乏旨在提供其实际用途的建议。本文提出了一种普适学习的体系结构,该体系结构采用了基于本体的数据访问(OBDA)范例来解决与复杂结构中的数据集成和数据源访问相关的问题。探索了OBDA技术,以允许访问和映射上下文数据并将其集成到学生的上下文感知语义模型中。通过使用电子学习环境和用于普适计算的中间件的案例研究来评估该建议的适用性。

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