IA generativa versus profesores: reflexiones desde una revisión de la literatura [Generative AI vs. Teachers: insights from a literature review]
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Palabras clave

Generative Artificial Intelligence
Teacher Practices
Educational Innovation
Pedagogical Transformation
Higher education
Chatbot Applications in Education Inteligencia Artificial Generativa
Prácticas Docentes
Innovación Educativa
Educación Superior
Transformación Pedagógica
Aplicaciones de Chatbots en Educación

Cómo citar

Chiappe, A., San Miguel, C., & Sáez Delgado, F. M. (2024). IA generativa versus profesores: reflexiones desde una revisión de la literatura [Generative AI vs. Teachers: insights from a literature review]. Pixel-Bit. Revista De Medios Y Educación. https://doi.org/10.12795/pixelbit.107046

Resumen

La creciente integración educativa de la inteligencia artificial está reconfigurando la educación superior, especialmente a través del uso de chatbots y modelos de lenguaje generativo. Este artículo realiza una revisión de la literatura, aplicando las directrices PRISMA a 155 artículos revisados por pares, para examinar las ventajas, limitaciones y aplicaciones pedagógicas de la IA en comparación con la enseñanza humana. Se identificaron tres principales escenarios de impacto en las prácticas educativas: a) Pérdida de ciertos aspectos tradicionales de la enseñanza, como la transmisión exclusiva de información y tareas de reporte, b) Transformación de roles, incluyendo el control sobre contenidos educativos y el contrato didáctico, c) Emergencia de nuevos elementos, como la personalización del aprendizaje y enfoques innovadores en la evaluación.  A pesar de su potencial para automatizar procesos y ahorrar tiempo, los chatbots no replican cualidades humanas esenciales como la empatía y la adaptabilidad. Por ello, su integración óptima requiere análisis pedagógicos profundos que equilibren innovación y efectividad educativa. Este trabajo es valioso para investigadores, docentes y diseñadores educativos interesados en entender cómo aprovechar la IA sin comprometer la calidad de la enseñanza. Representa un paso crucial hacia estrategias de incorporación de IA basadas en principios pedagógicos sólidos.

https://doi.org/10.12795/pixelbit.107046
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