DATA MINING IN EDUCATION: CURRENT STATE AND PERSPECTIVES OF DEVELOPMENT

The main tasks (classification and regression, association rules, clustering) and the basic principles of the Data Mining algorithms in the context of their use for a variety of research in the field of education which are the subject of a relatively new independent direction Educational Data Mining...

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Bibliographic Details
Published inInformation technologies and learning tools Vol. 50; no. 6; pp. 152 - 164
Main Author Yurii O. Kovalchuk
Format Journal Article
LanguageEnglish
Published Institute for Digitalisation of Education of the NAES of Ukraine 01.01.2016
Subjects
Educational Data Mining
класифікація
кластеризація
пошук асоціативних правил
регресія
система електронного навчання
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Summary:The main tasks (classification and regression, association rules, clustering) and the basic principles of the Data Mining algorithms in the context of their use for a variety of research in the field of education which are the subject of a relatively new independent direction Educational Data Mining are considered. The findings about the most popular topics of research within this area as well as the perspectives of its development are presented. Presentation of the material is illustrated by simple examples. This article is intended for readers who are engaged in research in the field of education at various levels, especially those involved in the use of e-learning systems, but little familiar with this area of data analysis.
ISSN:2076-8184
2076-8184