Analyzing Teachers Behavior Using Moodle Data and Big Data Tools

Janevski, Ljupce and Velinov, Aleksandar and Zdravev, Zoran (2019) Analyzing Teachers Behavior Using Moodle Data and Big Data Tools. Balkan Journal of Applied Mathematics and Informatics, 2 (1). pp. 39-44. ISSN 2545-4803

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Abstract

In this research, we present a new waterfall model for analysing Big Data from Moodle Database and Logs. We analyse the data from the Moodle e-learning system at the University Goce Delcev in Stip. The idea is to get knowledge about the behaviour of teachers and to make clustering in relation to the activities they had on the platform. We also show the tools that we have used to analyse Big Data as well as the clustering tools. The main goal with this analysis is to improve the teaching process by developing specific methods that will contribute to the improvement of student success.

Item Type: Article
Subjects: Natural sciences > Computer and information sciences
Natural sciences > Other natural sciences
Divisions: Faculty of Computer Science
Depositing User: Aleksandar Velinov
Date Deposited: 11 Jul 2019 07:05
Last Modified: 06 Nov 2019 11:24
URI: http://eprints.ugd.edu.mk/id/eprint/22199

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