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Dropout and transfer paths: What are the risky profiles when analyzing university persistence with machine learning techniques?
University dropout is a growing problem with considerable academic, social and economic consequences. Conclusions and limitations of previous studies highlight the difficulty of analyzing the phenomenon from a broad perspective and with bigger data sets. This paper proposes a new, machine-learning b...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6588340/ https://www.ncbi.nlm.nih.gov/pubmed/31226158 http://dx.doi.org/10.1371/journal.pone.0218796 |