Zdravev, Zoran and Velinov, Aleksandar and Nikolovska, Aleksandra (2019) Students Behavior Analysis to Improve the Learning Process Using Moodle Data. South East European Journal of Sustainable Development. ISSN 2545-4463
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Abstract
The main purpose of this research is to analyze student behavior using Moodle Data from the elearning system at the Goce Delcev University in Stip. Using the tables from the database, we created temporary tables that contain the number of activities for each user, on specific modules of the system. By determining the role of the users, we made a filtering of results and we got the number of activities for each student. To make the analysis, we used tools forBig Data analysis.After that, we performed clustering of students in several clusters. For this purpose, we usedk-means clustering technique and Elbow method to find the optimal number of clusters.At the end, we performed visualization of the clusters using the Scikit-learn Python library.With the knowledge gained from the analysis, in the future we can improve the learning process.
| Item Type: | Article |
|---|---|
| Subjects: | Natural sciences > Computer and information sciences |
| Divisions: | Faculty of Computer Science |
| Depositing User: | Aleksandar Velinov |
| Date Deposited: | 03 Feb 2020 13:08 |
| Last Modified: | 03 Feb 2020 13:08 |
| URI: | https://eprints.ugd.edu.mk/id/eprint/23694 |
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