Big Data Analytics in Education: A Data-Driven Literature Review

Negar Shabihi, Mi Song Kim
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引用次数: 2

Abstract

In the past decade, the applications of big data and learning analytics in education have made significant headways resulting in new opportunities for educational research. However, big data analytics (BDA) has brought new challenges to educational analytics. This paper conducts a systematic data-driven Literature review of BDA in education. Using a topic modeling approach, we have identified six topics and 19 subtopics and performed a network analysis to explore the links between the topics. Based on the results, we investigate the challenges in the field and conclude a three-dimensional model for educational BDA to address these challenges.
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教育中的大数据分析:数据驱动的文献综述
在过去的十年中,大数据和学习分析在教育中的应用取得了重大进展,为教育研究带来了新的机遇。然而,大数据分析(BDA)给教育分析带来了新的挑战。本文对BDA在教育中的应用进行了系统的、数据驱动的文献综述。使用主题建模方法,我们确定了6个主题和19个子主题,并进行了网络分析以探索主题之间的联系。在此基础上,我们研究了该领域面临的挑战,并总结了一个教育BDA的三维模型来解决这些挑战。
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