Processing of Big Educational Data in the Cloud Using Apache Hadoop

被引：0

作者：

Machova, Renata ^{[1
]}

Komarkova, Jitka ^{[1
]}

Lnenicka, Martin ^{[1
]}

机构：

[1] Univ Pardubice, Fac Econ & Adm, Pardubice, Czech Republic

来源：

INTERNATIONAL CONFERENCE ON INFORMATION SOCIETY (I-SOCIETY 2016) | 2016年

关键词：

Big educational data; Cloud computing; Moodle; Apache Hadoop;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The amount of available educational data is growing and the educational institutions try to organize and understand large complex datasets. Since these big data are an emerging field of study, there is no simple solution to process or analyze them. This paper aims to provide a model approach to process big educational data from the Moodle system in the cloud using the Apache Hadoop cluster. An experimental implementation of the proposed model approach is included to validate this solution. The results then suggest that the proposed model approach has a potential to be widely used for the processing of big educational data, especially with user interaction data.

引用

页码：46 / 49

页数：4

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