Evaluación de la inteligencia artificial generativa en el contexto de la automáticaun análisis crítico

  1. Barragán, Antonio Javier 1
  2. Aquino, Arturo 1
  3. Enrique, Juan Manuel 1
  4. Segura, Francisca 1
  5. Martínez, Miguel Ángel 1
  6. Andújar, José Manuel 1
  1. 1 Universidad de Huelva
    info

    Universidad de Huelva

    Huelva, España

    ROR https://ror.org/03a1kt624

Revista:
Jornadas de Automática
  1. Cruz Martín, Ana María (coord.)
  2. Arévalo Espejo, V. (coord.)
  3. Fernández Lozano, Juan Jesús (coord.)

ISSN: 3045-4093

Año de publicación: 2024

Número: 45

Tipo: Artículo

DOI: 10.17979/JA-CEA.2024.45.10733 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Resumen

La reciente proliferación de las inteligencias artificiales (IAs), en particular las IAs generativas, está impulsando una necesidad de transformación en la educación universitaria. La habilidad de las IAs para generar contenido, redactar informes, resúmenes y solucionar problemas de diversa complejidad, debería inducir una revisión de muchos de los métodos de evaluación tradicionales; o al menos, un reconocimiento de la capacidad del estudiantado para emplear estas herramientas en la ejecución de sus tareas. Este artículo tiene como objetivo evaluar las competencias de las principales IAs disponibles en la actualidad para llevar a cabo tareas asociadas con la ingeniería de control, tanto teóricas como prácticas. Los resultados indican que las IAs actuales todavía no pueden resolver problemas de control de manera efectiva, y tienden a recurrir a soluciones estándar que no siempre son apropiadas; no obstante, muestran un rendimiento satisfactorio respecto de conocimientos teóricos generales.

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Fuente de los datos: Dialnet