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

• Altamirano Pazmiño, Alberto Fabián ^[1] ; Freire Medina, Martha Lucía ^[1] ; Pazmiño Calero, Lucy Marina ^[1] ; Sánchez Velastegui, Verónica Susana ^[1]
  1. [1] Universidad Estatal de Bolívar

     Universidad Estatal de Bolívar

     Guaranda, Ecuador

     
• Localización: Journal of Science and Research: Revista Ciencia e Investigación, ISSN 2528-8083, Vol. 11, Nº. 0, 2025
• Idioma: español
• Enlaces
  • Texto completo (pdf)
• 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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