Modeling the Relationship among Digital Demographic Characteristics, Digital Literacy, and Academic Performance of Mathematics Major Students in an Online Learning Environment

Eduardo Edu C. Cornillez

doi:10.46661/ijeri.9575

Autores/as

Eduardo Edu C. Cornillez Eastern Visayas State University -Tanauan Campus https://orcid.org/0000-0002-4265-5318

DOI:

https://doi.org/10.46661/ijeri.9575

Palabras clave:

Alfabetización digital, características demográficas digitales, rendimiento académico en matemáticas, aprendizaje en línea, análisis de ruta

Resumen

El propósito del estudio fue determinar las características demográficas digitales, la alfabetización digital y el rendimiento académico de los estudiantes de matemáticas en un entorno de aprendizaje en línea, así como modelar las relaciones entre estas variables. Para medir y obtener los datos necesarios, el estudio empleó un diseño de investigación de correlación predictiva y un cuestionario de investigación adaptado. Se realizó una encuesta con una muestra aleatoria de 322 estudiantes de los campus principales y externos de la universidad estatal de interés. Se realizaron una serie de regresiones y análisis de ruta para explorar cualquier variable significativa que pudiera describir las relaciones entre las variables estudiadas. Principalmente, el estudio encontró que los niveles de investigación, recuperación y gestión de la información mediaron total y significativamente las relaciones entre la disponibilidad de dispositivos tecnológicos, el uso de una plataforma electrónica de aprendizaje y el rendimiento académico en matemáticas de los estudiantes. En la validación del modelo, el segundo modelo demostró la consistencia de variables como la investigación y recuperación de información y la alfabetización en gestión de información al influir indirectamente en las relaciones entre la disponibilidad de dispositivos tecnológicos y el rendimiento académico. Se puede realizar un estudio junto con este estudio para utilizar el modelo diseñado en este estudio en otras ubicaciones para validar aún más la coherencia general del modelo.

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Citas

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