Relación entre la competencia digital e inteligencia artificial con el rendimiento académico en estudiantes universitarios
Relationship between digital competence and artificial intelligence and academic performance in university studentsBarra lateral del artículo
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El propósito del estudio fue determinar la relación entre competencia digital e inteligencia artificial con el rendimiento académico en estudiantes universitarios de una universidad pública. Fue un estudio cuantitativo de diseño no experimental correlacional transversal, con una muestra de 295 estudiantes universitarios a quienes se aplicaron el Cuestionario de autopercepción de la Competencia Digital del Profesorado, Cuestionario de uso de la Inteligencia Artificial y la Escala de evaluación de Competencias (EC) para medir las variables de estudio. Los resultados mostraron una correlación positiva y significativa entre Competencias Digitales y uso de la Inteligencia Artificial con un coeficiente Rho = 0,583, p = 0,000; correlación entre competencia digital y rendimiento académico con coeficiente Rho = 0,307, p = 0,000; correlación entre uso de IA con rendimiento académico rho = 0,118, p = 0,043. Los análisis de regresión indicaron que la competencia digital tiene efectos predictivos significativos en el rendimiento académico de los estudiantes universitarios. Cuando otros factores se mantuvieron constantes, por cada unidad de aumento en competencia digital el rendimiento académico aumentó en 0,206 unidades. Por lo tanto, a nivel universitario se puede mejorar el rendimiento académico a través del fortalecimiento de las competencias digitales en los estudiantes.
The purpose of the study was to determine the relationship between digital competence and artificial intelligence with academic performance in university students at a public university. It was a quantitative study of non-experimental cross-sectional correlational design, with a sample of 295 university students to whom the Teacher's Digital Competence Self-Perception Questionnaire, Artificial Intelligence Use Questionnaire and Competence Evaluation Scale (CE) were applied to measure the study variables. The results showed a positive and significant correlation between Digital Competence and Artificial Intelligence use with coefficient Rho = 0.583, p = 0.000; correlation between digital competence and academic performance with coefficient Rho = 0.307, p = 0.000; correlation between AI use with academic performance rho = 0.118, p = 0.043. Regression analyses indicated that digital competence has significant predictive effects on the academic performance of college students. When other factors were held constant, for each unit increase in digital competence academic performance increased by 0.206 units. Therefore, at the university level, academic performance can be improved through the strengthening of digital competencies in students.
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