ESTRATEGIA PARA DETECTAR ESTILOS DE APRENDIZAJE USANDO LA TÉCNICA DE PARTICIONES
DOI:
https://doi.org/10.55777/rea.v6i12.986Keywords:
interfaz SQL, partición, centroides, minimización, predicción de estilos de aprendizajeAbstract
La identificación de los estilos de aprendizaje en un grupo de alumnos es un apoyo fundamental para el docente, pero requiere la aplicación de técnicas de detección, que generalmente, arrojan resultados descriptivos. En este trabajo, se plantea una estrategia para predecir los estilos de aprendizaje en grupos de nuevo ingreso bajo una interfaz C# en un servidor SQL. La interfaz obtiene los datos del índice Felder-Soloman y los trata bajo la técnica de particiones, la cual predice tendencias multi-variables con una cantidad considerable de datos. Esta técnica emplea el cálculo de centroides geométricos para indicar las regiones de predicción de cada variable. La obtención de los centroides se realizó por un método numérico incluido en la base de datos. La aplicación de esta estrategia se llevó a cabo en el Instituto Tecnológico de Roque y los resultados indican una predicción aceptablemente por parte de esta estrategia.Downloads
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