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.

该研究综述了教育数据挖掘和学习分析在教育数据上的应用，并回顾了主要出版物、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、主要目标和未来趋势。