Title
Introduction to the special section on educational data miningIntroduction to the special section on educational data mining
Author
Faculty/Department
Faculty of Sciences. Mathematics and Computer Science
Publication type
article
Publication
Subject
Computer. Automation
Source (journal)
SIGKDD explorations
Volume/pages
13(2011):2, p. 3-6
ISSN
1931-0145
1931-0153
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Abstract
Educational Data Mining (EDM) is an emerging multidisciplinary research area, in which methods and techniques for exploring data originating from various educational information systems have been developed. EDM is both a learning science, as well as a rich application area for data mining, due to the growing availability of educational data. EDM contributes to the study of how students learn, and the settings in which they learn. It enables data-driven decision making for improving the current educational practice and learning material. We present a brief overview of EDM and introduce four selected EDM papers representing a crosscut of different application areas for data mining in education.
E-info
https://repository.uantwerpen.be/docman/iruaauth/eb91a8/134141.pdf