Develop a User Behavior Analysis Tool in ETHOL Learning Management System
Students have different learning styles when studying online. Meanwhile, lecturers use the same method for all students who take their online lectures. These different learning styles can affect the level of understanding and the results obtained by students. By knowing student learning styles, lect...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Politeknik Elektronika Negeri Surabaya
2021-02-01
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| Series: | Emitter: International Journal of Engineering Technology |
| Subjects: | |
| Online Access: | http://emitter2.pens.ac.id/ojs/index.php/emitter/article/view/570 |
| _version_ | 1818406934953328640 |
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| author | Dwi Susanto Nuril Ratu Qurani M. Udin Harun Al Rasyid |
| author_facet | Dwi Susanto Nuril Ratu Qurani M. Udin Harun Al Rasyid |
| author_sort | Dwi Susanto |
| collection | DOAJ |
| description | Students have different learning styles when studying online. Meanwhile, lecturers use the same method for all students who take their online lectures. These different learning styles can affect the level of understanding and the results obtained by students. By knowing student learning styles, lecturers are expected to be able to use the right way in delivering material. In this research, we developed a student behavior analysis feature on self-developed Virtual Learning Environment (VLE) called Enterprise Hybrid Online Learning (ETHOL). Students’ data collected includes data on online activities, personal data, and survey data on student learning styles. User behavior analysis was carried out by dividing into three clusters: average scores, time to collect assignments, and student learning styles. The clustering method used is the Hierarchical K-Means. The results obtained are students who have the habit of collecting assignments on time have higher scores than others. In addition, the lecturer is able to see the results of the analysis of the behavior and learning styles of each student. These results can be used as information in delivering lecture material. |
| first_indexed | 2024-12-14T09:19:50Z |
| format | Article |
| id | doaj.art-579bf11105c24668bfc3da63cfcb286e |
| institution | Directory Open Access Journal |
| issn | 2355-391X 2443-1168 |
| language | English |
| last_indexed | 2024-12-14T09:19:50Z |
| publishDate | 2021-02-01 |
| publisher | Politeknik Elektronika Negeri Surabaya |
| record_format | Article |
| series | Emitter: International Journal of Engineering Technology |
| spelling | doaj.art-579bf11105c24668bfc3da63cfcb286e2022-12-21T23:08:20ZengPoliteknik Elektronika Negeri SurabayaEmitter: International Journal of Engineering Technology2355-391X2443-11682021-02-019110.24003/emitter.v9i1.570Develop a User Behavior Analysis Tool in ETHOL Learning Management SystemDwi Susanto0Nuril Ratu Qurani1M. Udin Harun Al Rasyid2PENSPoliteknik Elektronika Negeri SurabayaPoliteknik Elektronika Negeri SurabayaStudents have different learning styles when studying online. Meanwhile, lecturers use the same method for all students who take their online lectures. These different learning styles can affect the level of understanding and the results obtained by students. By knowing student learning styles, lecturers are expected to be able to use the right way in delivering material. In this research, we developed a student behavior analysis feature on self-developed Virtual Learning Environment (VLE) called Enterprise Hybrid Online Learning (ETHOL). Students’ data collected includes data on online activities, personal data, and survey data on student learning styles. User behavior analysis was carried out by dividing into three clusters: average scores, time to collect assignments, and student learning styles. The clustering method used is the Hierarchical K-Means. The results obtained are students who have the habit of collecting assignments on time have higher scores than others. In addition, the lecturer is able to see the results of the analysis of the behavior and learning styles of each student. These results can be used as information in delivering lecture material.http://emitter2.pens.ac.id/ojs/index.php/emitter/article/view/570E-LearningPersonalized LearningUser Behaviour Analysis |
| spellingShingle | Dwi Susanto Nuril Ratu Qurani M. Udin Harun Al Rasyid Develop a User Behavior Analysis Tool in ETHOL Learning Management System Emitter: International Journal of Engineering Technology E-Learning Personalized Learning User Behaviour Analysis |
| title | Develop a User Behavior Analysis Tool in ETHOL Learning Management System |
| title_full | Develop a User Behavior Analysis Tool in ETHOL Learning Management System |
| title_fullStr | Develop a User Behavior Analysis Tool in ETHOL Learning Management System |
| title_full_unstemmed | Develop a User Behavior Analysis Tool in ETHOL Learning Management System |
| title_short | Develop a User Behavior Analysis Tool in ETHOL Learning Management System |
| title_sort | develop a user behavior analysis tool in ethol learning management system |
| topic | E-Learning Personalized Learning User Behaviour Analysis |
| url | http://emitter2.pens.ac.id/ojs/index.php/emitter/article/view/570 |
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