Framework for Big Data Analytics of Moodle Data Using Hadoop in the Cloud

Nikolovska, Aleksandra and Velinov, Aleksandar and Spasov, Stojance and Zdravev, Zoran (2018) Framework for Big Data Analytics of Moodle Data Using Hadoop in the Cloud. In: Eighth International Scientific Conference Computer Science 2018, 13-15 Sept 2018, Kavala, Greece.

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Abstract

Big Data includes huge volume, high velocity and extensible variety of data, both structured and unstructured. Analysis and examination of this data plays a big role in making a better decisions and lead to strategic business moves. In this research, we are focusing on analysis of Moodle e-learning platform database with aim of improving the educational process. Using the concept of learning analytics we are trying to better understand teaching and learning processes in order to get as much as possible from educators and learners which are the main actors in the mentioned activities. The standard procedures that are specific to the databases will take a lot more time to do this. To facilitate this process, big data processing tools are used. Here, we also present the possibility of analyzing big data in the cloud. For the purpose of this research, we developed a framework for big data analysis.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Moodle, Hadoop, Big Data, Analysis, Learning Analytics
Subjects:	Natural sciences > Computer and information sciences
Divisions:	Faculty of Computer Science
Depositing User:	Stojance Spasov
Date Deposited:	22 Mar 2021 13:03
Last Modified:	22 Mar 2021 16:12
URI:	https://eprints.ugd.edu.mk/id/eprint/27954

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