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Inteligencias Artificiales Generativas en Economía y Empresa

Authors: García-Peñalvo, Francisco José;

Inteligencias Artificiales Generativas en Economía y Empresa

Abstract

Curso “Inteligencias Artificiales Generativas en Economía y Empresa” impartido el 23 de mayo de 2025 en la Facultad de Economía y Empresa de la Universidad de Salamanca dentro del Plan de Formación del PDI de la Universidad de Salamanca (Programa de Centros – Curso FECO2501). Los objetivos del curso son: Explorar las aplicaciones prácticas de la inteligencia artificial generativa (IAGen) —especialmente ChatGPT— en la docencia universitaria de materias relacionadas con Economía y Empresa. Identificar los retos y las oportunidades que plantea el uso de herramientas como ChatGPT en el proceso de enseñanza-aprendizaje. Diseñar estrategias docentes eficaces para integrar la IAGen en la práctica académica, enfrentando de forma crítica sus limitaciones y aprovechando su potencial. Los contenidos del curso son: Bloque I: Expectativas y percepciones del profesorado. Bloque II: Conceptos sobre la IAGen y sus aplicaciones en docencia. Bloque III. Taller práctico: usos docentes de la IAGen. Bloque IV: Conclusiones.

Related Organizations
Keywords

Inteligencia Artificial Generativa, ChatGPT, Educación Superior, Innovación Educativa

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average