Evaluación del rendimiento académico, utilizando herramientas de business intelligence: un enfoque basado en datos

Academic performance evaluation using business intelligence tools: a data-driven approach

Autores/as

DOI:

https://doi.org/10.56712/latam.v5i6.3080

Palabras clave:

business intelligence, power bi, análisis de rendimiento académico, indicadores de desempeño, educación superior

Resumen

Este estudio tuvo como objetivo diseñar e implementar un dashboard de Business Intelligence (BI) para analizar el rendimiento académico. Utilizando herramientas como Power BI, SQL Server Integration Services (SSIS) y SQL Server Analysis Services (SSAS), se recopilaron, transformaron y analizaron datos académicos, proporcionando una plataforma visual e interactiva para apoyar la toma de decisiones educativas. Entre los objetivos específicos estuvieron la creación de indicadores clave de desempeño (KPIs), la identificación de patrones de rendimiento estudiantil y la mejora de la visibilidad sobre el desempeño académico. El dashboard abarca datos del período 2021-2023, mostrando tasas de aprobación (89.4% en 2023), reprobación (10.6% en 2023), promedios de calificaciones por curso y rendimiento por asignatura. Además, permite segmentar la información por niveles, materias y periodos académicos, identificando áreas críticas donde los estudiantes enfrentan mayores dificultades. Esto facilita la intervención oportuna de las autoridades educativas y la optimización de estrategias pedagógicas. También se identificaron diferencias significativas en el rendimiento entre paralelos y géneros, información esencial para desarrollar estrategias educativas más inclusivas y efectivas. El uso de herramientas BI no solo mejora el análisis y seguimiento del rendimiento estudiantil, sino que también contribuye a una toma de decisiones más informada, transparente y eficiente en las instituciones educativas. En conclusión, esta solución de BI representa un recurso clave para transformar la gestión académica, optimizar recursos y fomentar un aprendizaje más efectivo.

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Biografía del autor/a

Norma Valencia Castillo, Universidad Estatal de Milagro

Edinson Humberto Collahuazo Romero, Universidad Estatal de Milagro

Nathaly Solange Panta Vilela, Universidad Estatal de Milagro

Andrea Malave, Universidad Estatal de Milagro

George Soledispa, Universidad Ecotec

Citas

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Publicado

2024-12-02

Cómo citar

Valencia Castillo, N., Collahuazo Romero, E. H., Panta Vilela, N. S., Malave, A., & Soledispa, G. (2024). Evaluación del rendimiento académico, utilizando herramientas de business intelligence: un enfoque basado en datos: Academic performance evaluation using business intelligence tools: a data-driven approach. LATAM Revista Latinoamericana De Ciencias Sociales Y Humanidades, 5(6), 1249 – 1265. https://doi.org/10.56712/latam.v5i6.3080

Número

Sección

Ciencias de la Educación