Revisión por Pares y Retroalimentación con IA para Mejorar la Escritura Académica

Alberto Fabián Altamirano Pazmiño; Martha Lucía  Freire Medina; Lucy Marina Pazmiño Calero; Verónica Susana Sánchez Velastegui

Revisión por Pares y Retroalimentación con IA para Mejorar la Escritura Académica

Autores/as

Alberto Fabián Altamirano Pazmiño Universidad Estatal de Bolívar
Martha Lucía Freire Medina Universidad Estatal de Bolívar
Lucy Marina Pazmiño Calero Universidad Estatal de Bolívar
Verónica Susana Sánchez Velastegui Universidad Estatal de Bolívar

Palabras clave:

inglés; retroalimentación; escritura académica; inteligencia artificial; revisión por pares

Resumen

Este estudio analiza el rol de la retroalimentación en la escritura académica de estudiantes de inglés como lengua extranjera (EFL), centrándose en la revisión por pares y el uso de inteligencia artificial (IA). Se examinaron Grammarly, Turnitin y Criterion, herramientas que brindan retroalimentación sobre gramática, estilo, coherencia y detección de similitudes textuales. Con un enfoque cualitativo y revisión bibliográfica sistemática e integradora, se identificaron estrategias como la autoevaluación, la revisión por pares y la combinación de retroalimentación directa e indirecta. Los resultados muestran que la revisión por pares apoyada por IA mejora la precisión, cohesión y argumentación, fomenta la autonomía y favorece la autorregulación. Se concluye que integrar retroalimentación humana y automatizada es una estrategia pedagógica eficaz para fortalecer la competencia escrita en la enseñanza del inglés como lengua extranjera.

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