Redefining Inclusive Education: The Transformative Impact of Artificial Intelligence in Students Learning Autonomy

  • Juan Carlos Suárez Gómez (Primer Autor)
  • , Monica Marcela Sanchez Duarte (Segundo Autor)
  • , Andres Chiappe Laverde (Autor Corresponsal)
  • , Laura Fontán de Bedout (Cuarto Autor)

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

Resumen

Educational inclusion and addressing diversity are the primary challenges facing the education sector in the 21st century. This article explores the potential of Artificial Intelligence (AI) as a supportive tool for educators working with students with Functional Diversity (FD), aiming to foster the development of autonomy in learning. It examines how AI can facilitate teaching practices in diverse classrooms and assist students with these characteristics, promoting their autonomy. The analysis suggests that AI offers significant opportunities to provide personalized support to this population by delivering immediate feedback, tailored resources, and improving teachers' classroom management. In this sense, the integration of AI can help create truly inclusive educational spaces, benefiting not only the target population but also educators and their families. However, discussions regarding the security and ethical considerations of AI in handling the personal data of the educational agents involved remain ongoing.

Idioma originalInglés
Páginas (desde-hasta)372-380
Número de páginas9
PublicaciónIEEE Revista Iberoamericana de Tecnologias Del Aprendizaje
Volumen20
N.ºN/A
DOI
EstadoPublicada - 7 nov. 2025

Focos Estratégicos

  • Sociedad Digital y Competitividad​ (SocietalIA)

Clasificación de Articulo

  • Articulo de reflexión

Indexación Internacional (Artículo)

  • ISI Y SCOPUS

Scopus-Q Quartil

  • Q2

ISI- Q Quartil

  • Q4

Categoría Publindex

  • A2

Huella

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