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Implementación de modelos de lenguaje grandes para apoyar el aprendizaje colaborativo basado en ideas erróneas en la

Brandon C J Cheah1,2, Shefaly Shorey3, Jun Hong Ch'ng1

  • 1Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, 5 Science Drive 2, Singapore, 117545, Singapore, 65 81503939.

JMIR medical education
|January 16, 2026
PubMed
Resumen
Este resumen es generado por máquina.

Los modelos de lenguaje grandes (LLM) pueden generar ideas erróneas en la educación sanitaria para fomentar el aprendizaje colaborativo y el pensamiento crítico. Este marco guía a los educadores en el uso de ideas erróneas generadas por IA para mejorar el cambio conceptual de los estudiantes.

Palabras clave:
LLMaprendizaje colaborativoeducación sanitariamodelo de lenguaje grandeaprendizaje basado en ideas erróneastexto de refutación

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