Prediction of engineering students’ virtual lab understanding and implementation rates using SVM classification
In 2020 many universities were forced to switch to a distant form of education because of the COVID-19 lockdown. This was especially challenging for the engineering specialties, where laboratory and practical exercises are a fundamental part of the educational process. This study presents results f...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Italian e-Learning Association
2021-07-01
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| Series: | Je-LKS : Journal of e-Learning and Knowledge Society |
| Subjects: | |
| Online Access: | https://www.je-lks.org/ojs/index.php/Je-LKS_EN/article/view/1135420 |