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Explorando la variabilidad de respuestas en unidades didácticas generadas con inteligencia artificial: un estudio comparativo sobre la enseñanza de la probabilidad

Authors: Romero-Fajardo, Luz Andrea; Niño-Porras, Daniel Enrique; Jiménez, William Alfredo;

Explorando la variabilidad de respuestas en unidades didácticas generadas con inteligencia artificial: un estudio comparativo sobre la enseñanza de la probabilidad

Abstract

Este experimento analiza los cambios en los resultados generados mediante el uso de inteligencias artificiales en la creación de tareas sobre probabilidad clásica. Mediante el uso explícito de un prompt, se generaron cuatro tareas para comparar en diferentes plataformas de inteligencia artificial los resultados, explorando por qué un mismo prompt produce respuestas distintas. Para evaluar la calidad de las actividades, se utilizaron algunos parámetros de calidad basados en algunos referentes académicos quemiden la claridad conceptual, la orientación pedagógica, la claridad del contenido, la calidad de actividades y el uso de materiales didácticos. Los resultados revelan diferencias significativas en las orientaciones de clase, los tipos de actividades propuestas, la integración de contextos reales y el avance en el desarrollo de contenidos. Este trabajo contribuye al análisis crítico del uso de estas herramientas en la educación.

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Keywords

probabilidad, inteligencia artificial, prompts, unidades didácticas, tecnología 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
Green