Educational data mining and learning analytics: An updated survey
Autor
Romero Morales, C.
Ventura Soto, S.
Editor
WileyFecha
2020Materia
Educational Data MiningData Mining on Education
Data-Driven Decision-Making in Education
Big Data in Education
Educational Data Science
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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.