Andrade-Girón, Daniel and Sandivar-Rosas, Juana and Marín-Rodriguez, William and Susanibar-Ramirez, Edgar and Toro-Dextre, Eliseo and Ausejo-Sanchez, Jose and Villarreal-Torres, Henry and Angeles-Morales, Julio (2023) Predicting Student Dropout based on Machine Learning and Deep Learning: A Systematic Review. EAI Endorsed Transactions on Scalable Information Systems.
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Abstract
Student dropout is one of the most complex challenges facing the education system worldwide. In order to evaluate the success of Machine Learning and Deep Learning algorithms in predicting student dropout, a systematic review was conducted. The search was carried out in several electronic bibliograp
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 16:37 |
| Last Modified: | 11 Apr 2026 06:56 |
| URI: | http://eprints.eai.eu/id/eprint/44587 |
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