Machine learning algorithms for early predicting dropout student online learning
Online learning is different from offline learning in the classroom with supervision from the lecturer. Online learning using the Learning Management System (LMS) media requires high awareness from students because their learning activities are not supervised, they are free to study wherever and whe...
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| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2023
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/41895/1/Machine%20learning%20algorithms%20for%20early%20predicting%20dropout.pdf http://umpir.ump.edu.my/id/eprint/41895/2/Machine%20learning%20algorithms%20for%20early%20predicting%20dropout%20student%20online%20learning_ABS.pdf http://umpir.ump.edu.my/id/eprint/41895/ https://doi.org/10.1109/ICCED60214.2023.10425359 |
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http://umpir.ump.edu.my/id/eprint/41895/1/Machine%20learning%20algorithms%20for%20early%20predicting%20dropout.pdfhttp://umpir.ump.edu.my/id/eprint/41895/2/Machine%20learning%20algorithms%20for%20early%20predicting%20dropout%20student%20online%20learning_ABS.pdf
http://umpir.ump.edu.my/id/eprint/41895/
https://doi.org/10.1109/ICCED60214.2023.10425359