Educational data mining and learning analytics

College

College of Computer Studies

Department/Unit

Computer Science

Document Type

Article

Source Title

Learning Analytics: From Research to Practice

First Page

61

Last Page

75

Publication Date

1-1-2014

Abstract

In recent years, two communities have grown around a joint interest on how big data can be exploited to benefit education and the science of learning: Educational Data Mining and Learning Analytics. This article discusses the relationship between these two communities, and the key methods and approaches of educational data mining. The article discusses how these methods emerged in the early days of research in this area, which methods have seen particular interest in the EDM and learning analytics communities, and how this has changed as the field matures and has moved to making significant contributions to both educational research and practice. © Springer Science+Business Media New York 2014.

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Digitial Object Identifier (DOI)

10.1007/978-1-4614-3305-7_4

Disciplines

Data Science

Keywords

Data mining; Education—Research; Education—Data processing

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