Análisis de Clústeres para Segmentar Estudiantes de Inglés según Estilos de Aprendizaje y Rendimiento a nivel universitario en Latinoamérica

Jessica Valentina Galimberti, Lina Yolanda Morales Rodas, Francisco Josue Galvez Calderón

Resumen


El análisis de clústeres aplicado a estudiantes universitarios de inglés en Latinoamérica permitió segmentar la población en perfiles diferenciados según estilos de aprendizaje y rendimiento académico. Utilizando instrumentos validados como el cuestionario VARK y pruebas estandarizadas (TOEFL, IELTS), se identificaron dos grupos principales: uno con predominio de aprendices visuales, rendimiento académico ligeramente superior y mayor representación en carreras de ingeniería y educación; y otro con predominio auditivo, estrategias colaborativas y presencia significativa en carreras de negocios. Ambos clusters presentan similitudes en distribución de género y origen geográfico (México y Colombia). Los resultados confirman la validez de los instrumentos empleados y subrayan la importancia de adaptar las estrategias pedagógicas a las características de cada grupo para mejorar la equidad y los resultados educativos. Este enfoque permite fundamentar intervenciones personalizadas y optimizar la enseñanza del inglés en la región.


Palabras clave


clústeres; estilos de aprendizaje; rendimiento académico; educación superior.

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Referencias


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DOI: https://doi.org/10.23857/pc.v10i6.9828

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