Studying academic success: A data analytics approach to predict performance of higher education students
The dropout of students in higher education is a concern for universities, as it directly impacts the community and the educational level of future generations. For this reason, a data analytics-based model is proposed to support students in making decisions during the course selection process, aimi...
- Autores:
-
Martínez Osorio, Daniel Felipe
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2024
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/73243
- Acceso en línea:
- https://hdl.handle.net/1992/73243
- Palabra clave:
- Performance
Data analytics
Ingeniería
- Rights
- openAccess
- License
- Attribution 4.0 International