LA INEVITABILIDAD DE LA ERA DE LA INTELIGENCIA ARTIFICIAL GENERATIVA: UN CASO DE EDUCACIÓN SAUDÍ

a case of Saudi education

Autores/as

  • A. K. Alghamdi King Abdulaziz University
  • D. A. Hasan King Abdulaziz University
  • S. A. Nassif King Abdulaziz University
  • M. A. Abdullah King Abdulaziz University

DOI:

https://doi.org/10.23925/2179-3565.2025v16i3p13-25

Palabras clave:

Artificial Intelligence, Generative Artificial Intelligence, GenAI Education, Saudi Arabia, UTAUT model

Resumen

La Visión 2030 de Arabia Saudita promueve la integración de tecnologías avanzadas, en particular la Inteligencia Artificial (IA), en diversos sectores, incluida la educación. Esta investigación investiga el grado de familiaridad de los estudiantes de la Universidad Saudita con herramientas impulsadas por IA como ChatGPT, Grammarly y Github Copilot, y cómo emplean estas tecnologías para el apoyo académico, la investigación y la resolución de problemas. Además, analiza el impacto de las herramientas de inteligencia artificial en los resultados de aprendizaje y aborda cuestiones éticas relacionadas con su uso, incluido el plagio, la dependencia de la inteligencia artificial y la privacidad de los datos. Utilizando un cuestionario estructurado, dirigido a estudiantes de educación superior en universidades sauditas. Este estudio evalúa las brechas en el conocimiento de los estudiantes sobre la Inteligencia Artificial Genial y describe medidas para la integración ética y efectiva de estas herramientas en la educación superior. Los resultados indican que los estudiantes saudíes están muy comprometidos con las herramientas de Gen AI, tienen una actitud positiva hacia sus ventajas e insisten en instrucciones y políticas más claras de sus universidades con respecto a las preocupaciones éticas. Estos resultados sugieren la importancia de las herramientas de inteligencia artificial en la educación superior y la necesidad crucial de políticas éticas más claras.

Biografía del autor/a

A. K. Alghamdi, King Abdulaziz University

Department of Information Systems

D. A. Hasan, King Abdulaziz University

Department of Information Systems

S. A. Nassif, King Abdulaziz University

Department of Information Systems

M. A. Abdullah, King Abdulaziz University

Department of Information Systems

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Publicado

2025-10-22