Wahyono, Irawan Dwi and Asfani, Khoirudin and Mohamad, Mohd Murtadha and Saryono, Djoko and Ashar, Muhammad and Sunarti, S (2020) A New Adaptive Online Learning using Computational Intelligence. 2020 Third International Conference on Vocational Education and Electrical (ICVEE), 2020.
Full text not available from this repository.Abstract
This study aimed to develop an online learning system that was adaptive to students who wished to learn electrical machine modules based on their abilities. Adaptive use of online learning functioned to determine the category of students' ability to access modules in online learning. Online learning was also able to provide the determination of modules which can then be done by students, so students can learn independently. Adaptive capabilities in online learning were implemented by utilizing computational intelligence algorithms, namely Naive Bayes and Bayes Network. Naive Bayes was tasked with processing students `pre-test data in adaptive online learning for the classification of students' abilities so that after the results of the pretest appeared, students will be given modules that matched their abilities. Whereas Bayes Network used to process student post-test data after students worked on the modules that have been given, adaptive online learning provided the next module to work according to the abilities and desires of students. The testing results of the use of Naive Bayes and Bayes Network on Adaptive Online Learning obtained an average accuracy of 85%.
| Item Type: | Article |
|---|---|
| Subjects: | L Education > L Education (General) |
| Divisions: | Fakultas Sastra (FS) > Laporan Karya Ilmiah FS |
| Depositing User: | library UM |
| Date Deposited: | 29 Apr 2020 06 |
| Last Modified: | 23 Mar 2022 07:39 |
| URI: | http://repository.um.ac.id/id/eprint/196737 |
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