Predicting academic student performance based on e-learning platform engagement using learning management system data
The identification of at-risk students has become increasingly more significant as these students are in the precarious position of failing their courses. This study aims to achieve the objective of proposing a student performance prediction model to identify the stage of the course where at-risk st...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Published: |
Auricle Global Society of Education and Research
2023
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