Learning Analytics in Mobile and Ubiquitous Learning Environments
Learning Analytics in Mobile and Ubiquitous Learning Environments
复制标题
移动和无处不在的学习环境中的学习分析
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
H. Davis
中科院分区：
文献类型：
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作者：
Naif R. Aljohani;H. Davis
学习分析（LA）是近年来开发的有前途的技术之一，可以有效地利用高等教育中惊人的学生数据量。尽管在广泛实施过程中存在许多困难，但它已被证明是支持失败学习者的一种非常有用的方式。LA的文献综述的一个重要特点是，LA没有提供一个显着的好处，学习者的流动性，因为没有太多的研究已经进行，以确定LA在促进或提高学习经验的移动的学习者的重要性。因此，本文从理论的角度描述了在移动的和泛在学习环境中使用LA技术来增强学习的潜在优势。此外，我们描述了我们的简化移动的和无处不在的学习分析模型（MULAM）分析移动的学习者的数据，这是基于坎贝尔和Oblinger的五步模型的学习分析。最后，我们回答了为什么现在可能是考虑分析移动的学习者数据的最合适时机的问题。
Learning analytics (LA) is one of the promising techniques that has been developed in recent times to effectively utilise the astonishing volume of student data available in higher education. Despite many difficulties in its widespread implementation, it has proved to be a very useful way to support failing learners. An important feature of the literature review of LA is that LA has not provided a significant benefit in terms of learner mobility to date since not much research has been carried out to determine the importance of LA in facilitating or enhancing the learning experience of mobile learners. Therefore, this paper describes the potential advantages of using LA techniques to enhance learning in mobile and ubiquitous learning environments from a theoretical perspective. Furthermore, we describe our simplified Mobile and Ubiquitous Learning Analytics Model (MULAM) for analysing mobile learners’ data which is based on Campbell and Oblinger’s five-step model of learning analytics. Finally, we answer the question why now might be the most suitable time to consider analysing mobile learners’ data.
情境感知无处不在的学习日志系统中的个性化
DOI：
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发表时间：
2012
期刊：
Proc. of IEEE WMUTE 2012
影响因子：
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作者：
Mengmeng Li;Hiroaki Ogata;Bin Hou and Noriko Uosaki
通讯作者：
Bin Hou and Noriko Uosaki