Educational data mining and learning analytics: An updated survey,WIREs Data Mining and Knowledge Discovery

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Educational data mining and learning analytics: An updated survey
WIREs Data Mining and Knowledge Discovery ( IF 6.4 ) Pub Date : 2020-01-13 , DOI: 10.1002/widm.1355
Cristobal Romero ₁ , Sebastian Ventura ₁

Affiliation

This survey is an updated and improved version of the previous one published in 2013 in this journal with the title “data mining in education”. It reviews in a comprehensible and very general way how Educational Data Mining and Learning Analytics have been applied over educational data. In the last decade, this research area has evolved enormously and a wide range of related terms are now used in the bibliography such as Academic Analytics, Institutional Analytics, Teaching Analytics, Data‐Driven Education, Data‐Driven Decision‐Making in Education, Big Data in Education, and Educational Data Science. This paper provides the current state of the art by reviewing the main publications, the key milestones, the knowledge discovery cycle, the main educational environments, the specific tools, the free available datasets, the most used methods, the main objectives, and the future trends in this research area.

中文翻译：

教育数据挖掘和学习分析：最新调查

这项调查是2013年在本杂志上发布的上次调查的更新和改进版本，标题为“教育中的数据挖掘”。它以一种易于理解且非常笼统的方式审查了如何将教育数据挖掘和学习分析应用于教育数据。在过去的十年中，该研究领域发生了巨大的变化，书目中广泛使用了相关术语，例如学术分析，机构分析，教学分析，数据驱动的教育，数据驱动的教育决策，大型教育数据和教育数据科学。本文通过回顾主要出版物，关键里程碑，知识发现周期，主要教育环境，特定工具，免费可用数据集，最常用的方法，提供了最新的技术，

更新日期：2020-01-13

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