Aprendizaje Generativo integral: un modelo para la educación superior ante los desafíos de la inteligencia artificial

Autores/as

DOI:

https://doi.org/10.31637/epsir-2024-1685

Palabras clave:

AI literacy, digital skills, generative learning, higher education, active methodologies, entrepreneurship education, ChatGPT, Critical thinking

Resumen

Introducción: La tecnología ha revolucionado la educación superior como motor de innovación académica. Destacan la inteligencia artificial (IA) y herramientas como ChatGPT que representan oportunidades e importantes desafíos. Este fenómeno está transforma el proceso de aprendizaje en el entorno universitario y exige una adaptación. Metodología: Desde la hermenéutica se han analizado las tendencias educativas actuales: el aprendizaje centrado en el estudiante (SCL), las metodologías activas y las teorías constructivistas del aprendizaje generativo, indagando en los elementos necesarios para desarrollar una alfabetización en IA (AI Literacy) adecuada en el entorno universitario. Resultados: Se presenta un modelo de Aprendizaje Generativo Integral como marco de actuación a tres niveles para evaluar la implantación de la IA generativa en la educación superior. Discusión: Se discuten los niveles de impacto del modelo enfatizando los aspectos éticos, las implicaciones metodológicas y de evaluación en la interacción con la IA en el proceso de adquisición de conocimientos, competencias y habilidades para estudios universitarios. Conclusiones: Es necesario desarrollar un modelo que integre aspectos metodológicos, éticos y competenciales como el pensamiento crítico, la creatividad y la capacidad de análisis para evaluar los retos y oportunidades que ofrece la IA de forma integral en la educación superior.

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Biografía del autor/a

Margarita Nuñez-Canal, Universidad Nebrija

Doctora por la Universidad CEU San Pablo. Acreditada con contratado-doctor con un sexenio reconocido de investigación. Senior Fellow de la Higher Education Academy. Master Law and Economics por Universidad de Rotterdam y Licenciada en Derecho por la Universidad Complutense de Madrid. Profesora de Grado y Posgrado en Universidad Nebrija. Investigadora, línea de investigación, empresa, emprendimiento, competencias digitales, inteligencia artificial en educación y digitalización. Actualmente es Directora de Posgrado en Nebrija Business y Technology School.

Ana Fernandez Ardavin, Universidad Nebrija

Doctora en Economía por la Universidad Complutense de Madrid. Profesora Acreditada Contratada Doctor. Profesora de Economía. Decana de la Facultad de Economía y Empresa de la Universidad Nebrija.

Luis Díaz-Marcos, Universidad Nebrija

Doctor en Economía por la Universidad Nebrija. Master in Business Administration Houston University Profesor de Economía y Finanzas Licenciado en Derecho por la Universidad Complutense. Vicerrector de Ordenación Académica y profesorado en Universidad Nebrija

Oscar Aguado Tevar, Universidad Nebrija

Ingeniero de Minas y Doctor por la Universidad Politécnica de Madrid. Master in Managerial Energy Economics por la Universidad de Oklahoma y Master in Management por HEC Paris. Profesor de Economía y Finanzas. Director Gerente de Universidad Nebrija

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2024-11-20

Cómo citar

Nuñez-Canal, M., Fernandez Ardavin, A., Díaz-Marcos, L., & Aguado Tevar, O. (2024). Aprendizaje Generativo integral: un modelo para la educación superior ante los desafíos de la inteligencia artificial. European Public & Social Innovation Review, 9, 1–21. https://doi.org/10.31637/epsir-2024-1685

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INNOVANDO EN LA GALAXIA DE LA INTELIGENCIA ARTIFICIAL