Cross-Platform Analytics: A step towards Personalization and Adaptation in Education
Cross-Platform Analytics: A step towards Personalization and Adaptation in Education
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跨平台分析：教育领域个性化和适应性的一步
DOI：
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
M. Giannakos
中科院分区：
文献类型：
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作者：
Katerina Mangaroska;B. Vesin;M. Giannakos
学习分析用于跟踪学习者的进度，并使教育者和学习者能够做出明智的数据驱动决策。然而，由于学习过程的分布式性质，需要结合分析来提供对学习者行为和体验的更广泛的见解。因此，本文提出了一种集成和利用跨平台分析的学习生态系统架构。所提出的跨平台架构已通过 Java 编程课程付诸实践。经过一系列研究后，得出了概念验证，展示了跨平台分析如何放大学习过程的相关分析。此类分析可以提高教育者和学习者对自己行为和学习环境的理解。
Learning analytics are used to track learners' progress and empower educators and learners to make well-informed data-driven decisions. However, due to the distributed nature of the learning process, analytics need to be combined to offer broader insights into learner's behavior and experiences. Consequently, this paper presents an architecture of a learning ecosystem, that integrates and utilizes cross-platform analytics. The proposed cross-platform architecture has been put into practice via a Java programming course. After a series of studies, a proof of concept was derived that shows how cross-platform analytics amplify the relevant analytics for the learning process. Such analytics could improve educators' and learners' understanding of their own actions and the environments in which learning occurs.