Hybrid deep learning approach with attention mechanism for predicting student success in higher education institutions
Higher education institutions are focusing increasingly on targeted interventions by supporting students with academic challenges, improving their overall learning outcomes. In this context, hybrid Deep Learning (DL) approaches have emerged as leaders in the construction of recommendation systems ca...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | en en |
| Published: |
Engineering and Technology Publishing
2026
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| Subjects: | |
| Online Access: | https://umpir.ump.edu.my/id/eprint/47241/1/Hybrid%20deep%20learning%20approach%20with%20attention%20mechanism.pdf https://umpir.ump.edu.my/id/eprint/47241/7/Hybrid%20deep%20learning%20approach%20with%20attention%20mechanism%20for%20predicting%20student.pdf https://doi.org/10.12720/jait.17.3.500-518 https://umpir.ump.edu.my/id/eprint/47241/ |
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https://umpir.ump.edu.my/id/eprint/47241/1/Hybrid%20deep%20learning%20approach%20with%20attention%20mechanism.pdfhttps://umpir.ump.edu.my/id/eprint/47241/7/Hybrid%20deep%20learning%20approach%20with%20attention%20mechanism%20for%20predicting%20student.pdf
https://doi.org/10.12720/jait.17.3.500-518
https://umpir.ump.edu.my/id/eprint/47241/
