Research Articles

Inteligencia artificial y estudiantes de negocios. Autoeficiencia según características sociodemográficas en Chile

Autores/as

  • Cesar Ahumada-Sanhueza Universidad Católica del Maule
  • Pedro Severino-González Universidad Católica del Maule
  • Cristian Salazar-Concha Universidad Austral de Chile
  • Guipsy Rebolledo-Aburto Universidad Adventista de Chile ORCID 0009-0008-8113-5308
  • Edgar Contreras-Torres Universidad Católica del Maule ORCID 0009-0004-5940-7697

DOI:

https://doi.org/10.4067/S0718-27242025000100015

Resumen

La inteligencia artificial (IA) en los procesos educativos ha generado un creciente interés en la comunidad académica. En tal sentido, la innovación en organizaciones públicas y empresas privadas ha impulsado la instalación de competencias profesionales relacionadas con la inteligencia artificial. Este trabajo tiene como objetivo analizar la autoeficacia de la IA de acurdo con las características sociodemográficas de estudiantes de negocios en Chile. La metodología utilizada es de carácter exploratorio con una muestra no probabilística. Se aplicó un análisis factorial exploratorio y se examinaron diferencias estadísticas significativas. Los resultados, muestran diferencias en función del sexo, la ocupación, el ingreso familiar y el territorio. En relación con estos hallazgos, se sugiere incluir herramientas de IA en las estrategias de innovación educativa, especialmente dirigidas a estudiantes de negocios. Finalmente, se recomienda la implementación de nuevos enfoques para comprender los facilitadores de entornos en donde se pueda hacer uso de la IA, lo que podría disminuir brechas y desigualdades en los distintos grupos de la población estudiantil.

Palabras clave:

  • Inteligencia artificial
  • estudiantes de negocios
  • educación superior
  • innovación
  • competencias profesionales

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Biografía del autor/a

Cesar Ahumada-Sanhueza, Universidad Católica del Maule

Full-time professor at the Department of Economics and Administration, Faculty of Social and Economic Sciences of the Catholic University of Maule, Talca (Chile).

Pedro Severino-González, Universidad Católica del Maule

Full-time professor at the Department of Economics and Administration, Faculty of Social and Economic Sciences of the Catholic University of Maule, Talca (Chile).

Cristian Salazar-Concha, Universidad Austral de Chile

Associate professor of Information Systems and Technologies. He is director of the Institute of Administration of the Faculty of Economic and Administrative Sciences of the Universidad Austral de Chile.

Guipsy Rebolledo-Aburto, Universidad Adventista de Chile

Director of the Business Administration program at the Universidad Adventista de Chile.

Edgar Contreras-Torres, Universidad Católica del Maule

School of Commercial Engineering, Universidad Católica del Maule, Chile. 

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Artificial Intelligence

Recibido

2024-12-16

Aceptado

2025-04-22

Publicado

2025-04-25

Cómo citar

Ahumada-Sanhueza, C., Severino-González, P., Cristian Salazar-Concha, C., Rebolledo-Aburto, G., & Contreras-Torres, E. (2025). Inteligencia artificial y estudiantes de negocios. Autoeficiencia según características sociodemográficas en Chile. Journal of Technology Management and Innovation, 20(1), 15–26. https://doi.org/10.4067/S0718-27242025000100015

Número

Sección

Research Articles