Patterns to Identify Dropout University Students with Educational Data Mining
This paper applies educational data mining algorithms to present an analysis of the most relevant characteristics of potential dropout students. The study used a dataset of 10,635 instances, acquired between 2014 and 2019 from 53 bachelor’s degree programs at a private university in the state of Pue...
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| Autores principales: | , , |
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| Formato: | Online |
| Lenguaje: | spa |
| Publicado: |
Universidad Autónoma de Baja California. Instituto de Investigación y Desarrollo Educativo
2021
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| Acceso en línea: | https://redie.uabc.mx/redie/article/view/3918 |
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