La Inteligencia Artificial en Educación: aplicación en la evaluación del desempeño del alumno.

Boran Sekeroglu; Kamil Dimililer; Kubra Tuncal.

doi:10.46377/dilemas.v28i1.1594

Boran Sekeroglu Department of Information Systems Engineering, Near East University, Nicosia, Cyprus
Kamil Dimililer Department of Electrical Electronic Engineering, Near East University, Nicosia, Cyprus
Kubra Tuncal. Research Assistant, Department of Information Systems Engineering, Near East University, Nicosia, Cyprus

DOI: https://doi.org/10.46377/dilemas.v28i1.1594

Palabras clave: Inteligencia artificial, educación personalizada, función de base radial NN, aprendizaje automático

Resumen

La educación ha ganado importancia para acelerar el desarrollo de los países mediante la educación personalizada, etc., e impulsar su adquisición de conocimiento. Si bien es tarea difícil analizar a cada estudiante de forma independiente, los enfoques de Inteligencia Artificial y aprendizaje automático proporcionan soluciones rápidas con alta precisión para ayudar a los humanos. Este artículo presenta experimentos con diferentes conjuntos de datos educativos para predecir y clasificar el desempeño de los estudiantes, considerándose varios modelos de aprendizaje automático para cada problema y los resultados muestran que la Inteligencia Artificial puede ayudar a los instructores a mejorar la educación personalizada antes o durante el semestre activo. Se analiza que la red neuronal de la función de base radial supera a otros modelos considerados.

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