Adaptaciones pedagógicas en recursos didácticos creados con inteligencia artificial generativa: Desafíos y alternativas para la docencia
Fecha
2025
Autores
Saborío-Taylor, Silvia
Álvarez-Chaves, Alejandra
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Sapiens Ediciones
Resumen
La Inteligencia Artificial Generativa (IAG) está transformando la educación al facilitar la creación de recursos didácticos innovadores y adaptables, pero su uso efectivo requiere pensamiento crítico y adaptaciones pedagógicas específicas para garantizar la alineación con objetivos educativos. Este estudio cualitativo, realizado con estudiantes en formación docente en la Universidad Nacional de Costa Rica, analizó cómo se ajustan los recursos generados en contenido, lenguaje y diseño gráfico. Los resultados evidenciaron que, aunque la IAG optimiza tareas, sus producciones iniciales suelen requerir ajustes significativos para mejorar su relevancia educativa. El foro de discusión destacó la utilidad de la IAG, junto con la necesidad de supervisión docente para personalizar los materiales. Un estudio de caso mostró mejoras tras revisiones críticas, subrayando la importancia del pensamiento crítico en la validación y adecuación de los recursos. Estos hallazgos resaltan que la IAG no sustituye la labor docente, sino que la complementa, siempre que se aplique de manera ética y reflexiva. Se recomienda continuar en la capacitación de futuros docentes en el uso crítico de estas tecnologías y realizar investigaciones adicionales para evaluar su impacto en el aprendizaje estudiantil.
Generative Artificial Intelligence (GAI) is transforming education by facilitating the creation of innovative and adaptable teaching resources. However, its effective use requires critical thinking and specific pedagogical adaptations to ensure alignment with educational objectives. This qualitative study, conducted with student teachers at the National University of Costa Rica, analyzed how generated resources are adjusted in terms of content, language, and graphic design. The results showed that, although GAI optimizes tasks, initial outputs often require significant modifications to enhance educational relevance. Discussion forums highlighted the tool's usefulness while emphasizing the need for teacher supervision to personalize materials. A case study demonstrated improvements after critical revisions, underscoring the importance of critical thinking in validating and adapting resources. These findings suggest that GAI does not replace teaching roles but complements them when applied ethically and reflectively. Ongoing teacher training and further research are recommended to assess its impact on student learning.
Generative Artificial Intelligence (GAI) is transforming education by facilitating the creation of innovative and adaptable teaching resources. However, its effective use requires critical thinking and specific pedagogical adaptations to ensure alignment with educational objectives. This qualitative study, conducted with student teachers at the National University of Costa Rica, analyzed how generated resources are adjusted in terms of content, language, and graphic design. The results showed that, although GAI optimizes tasks, initial outputs often require significant modifications to enhance educational relevance. Discussion forums highlighted the tool's usefulness while emphasizing the need for teacher supervision to personalize materials. A case study demonstrated improvements after critical revisions, underscoring the importance of critical thinking in validating and adapting resources. These findings suggest that GAI does not replace teaching roles but complements them when applied ethically and reflectively. Ongoing teacher training and further research are recommended to assess its impact on student learning.
Descripción
Artículo científico
Palabras clave
INTELIGENCIA ARTIFICIAL, MATERIALES DE ENSEÑANZA, DOCENCIA, PENSAMIENTO CRÍTICO, ARTIFICIAL INTELLIGENCE, TEACHING MATERIALS, TEACHING, CRITICAL THINKING
