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Cited by 1,120

The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.

Educational data mining and learning analytics: An updated survey

Open access
Romero, Cristobal, Ventura, Sebastian·2020·WIREs Data Mining and Knowledge Discovery
DOI 10.1002/widm.1355
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Abstract

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. This article is categorized under: Application Areas > Education and Learning

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Metadata

Authors
Romero, C., & Ventura, S.
Venue
WIREs Data Mining and Knowledge Discovery
Publisher
Wiley
Published
2020-01-13
Volume
10
Issue
3
ISSN
  • 1942-4787 (ISSN-L)
  • 1942-4795
DOI
10.1002/widm.1355
OpenAlex
W3000065748
Cited by
1,120
References
60
FWCI
113.54
Type
journal article
Language
en
Open access
green

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Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.