Gestión universitaria basada en datos: estrategias para la toma de decisiones inteligentes en instituciones de educación superior
DOI:
https://doi.org/10.63688/j8e4y006Palabras clave:
gestión universitaria, analítica de datos, toma de decisionesResumen
La transformación digital modificó significativamente la manera en que las instituciones de educación superior organizaron sus procesos académicos, administrativos y financieros, al generar grandes volúmenes de información sobre el rendimiento estudiantil, la permanencia, la gestión docente, el uso de recursos y la calidad de los servicios educativos. El objetivo de esta investigación fue analizar las estrategias de gestión universitaria basada en datos y su contribución a la toma de decisiones inteligentes, mediante la identificación de sus principales herramientas, aplicaciones, beneficios y desafíos. Para ello, se realizó una revisión sistemática de la literatura conforme a las directrices de la declaración PRISMA 2020, que permitió seleccionar, organizar y sintetizar rigurosamente la evidencia científica disponible. El corpus final estuvo constituido por 27 artículos relacionados con la analítica académica, los sistemas de información, la inteligencia de negocios, los modelos predictivos y la gobernanza de datos. Los resultados evidenciaron que la gestión orientada por datos favoreció la identificación temprana de riesgos académicos, la planificación curricular, la eficiencia administrativa y la optimización de recursos. Se concluyó que su implementación fortaleció la toma de decisiones institucionales; sin embargo, requirió información confiable, personal capacitado, infraestructura tecnológica y políticas que garantizaran la privacidad, la seguridad y el uso ético de los datos universitarios.
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Derechos de autor 2026 Diego Esteban Bravo Juela, Maria Elena Carrillo Valverde, Mitridates Felix Octavio Feijoo Parra, Daniel Alejandro Rodríguez Estrella (Autor/a)
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
El artículo se distribuye bajo la Licencia Creative Commons Atribución 4.0 . Salvo que se indique lo contrario, el material publicado asociado se distribuye bajo la misma licencia.
