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Generating Adaptive Learning Sheets for Museum Tour Guide in U-learning Grid Environments

机译:在U学习网格环境中生成博物馆导游的自适应学习表

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With the fast development of wireless communication and sensor technologies, ubiquitous learning can be applied to various subject matters, including art and humanity learning. Among others, learning in museums is an effective way to bring experiential knowledge about works of art to students. For learning in museums, learning sheets are common and useful tools to guide students through the learning process. The learning performance will be improved if learning sheets can be adaptive to different students. However, generating adaptive learning sheets for each student is an overwhelming effort to teachers. This paper focuses on the adaptive learning sheet generation problem for ubiquitous museum guide in grid environments. A knowledge-based architecture is proposed to adaptively generate learning sheets. Also, a grid environment has been built to evaluate the proposed approach.
机译:随着无线通信和传感器技术的快速发展,无所不在的学习可以应用于各种主题,包括艺术和人文学习。除其他外,在博物馆里学习是一种将艺术作品的经验知识带给学生的有效途径。对于博物馆学习而言,学习表是指导学生完成学习过程的常用且有用的工具。如果学习表可以适应不同的学生,学习成绩将得到改善。但是,为每个学生生成适应性学习表对老师来说是一项巨大的工作。本文重点研究网格环境中无所不在的博物馆指南的自适应学习表生成问题。提出了一种基于知识的体系结构来自适应地生成学习表。此外,已经建立了网格环境来评估所提出的方法。

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