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Predicting students at risk of academic failure using ensemble model during pandemic in a distance learning system
Predicting students at risk of academic failure is valuable for higher education institutions to improve student performance. During the pandemic, with the transition to compulsory distance learning in higher education, it has become even more important to identify these students and make instructio...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8635763/ https://www.ncbi.nlm.nih.gov/pubmed/34873580 http://dx.doi.org/10.1186/s41239-021-00300-y |