Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery· 2020Q1· Review
Educational data mining and learning analytics: An updated survey
- 998citations
- Q1SCImago
- 2020year
Short summary
This survey provides an updated overview of Educational Data Mining (EDM) and Learning Analytics (LA), detailing their evolution, key milestones, methodologies, tools, and future trends in analyzing educational data.
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Key points
- Reviews the evolution and current state of Educational Data Mining (EDM) and Learning Analytics (LA).
- Details key milestones, methodologies, tools, and free datasets used in the field.
- Discusses various educational environments and objectives addressed by EDM and LA.
- Identifies future trends and emerging concepts like Academic Analytics and Educational Data Science.
AI-generated from the title and abstract; the full text is not read.
Abstract
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
The authors' abstract, as published at the source. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, 2020 · DOI ↗
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Field: Computer Science Applications
Computer Science ApplicationsComputer Science