Inteligencia artificial para la inclusión en educomunicación: avances y retos

Autores/as

DOI:

https://doi.org/10.62008/ixc/16/01Inteli

Palabras clave:

inteligencia artificial, discapacidad, comunicación, educación, revisión sistemática

Resumen

Esta revisión sistemática de 113 investigaciones (1986-2025) analiza la intersección entre inteligencia artificial (IA), comunicación y educación para personas con discapacidad. Se evidencia un notable incremento en la producción científica desde 2018, concentrándose el 70,2% de los estudios en los últimos tres años. El ámbito educativo domina las investigaciones, con predominio de estudios empíricos y enfoques cuantitativos. Las discapacidades del aprendizaje, visual y auditiva son las más investigadas, aunque el 38,1% de los trabajos abordan la discapacidad en general. Entre los propósitos destacan la evaluación de tecnologías accesibles, el desarrollo de sistemas inteligentes y aplicaciones educomunicativas de la IA. Los hallazgos resaltan su potencial para eliminar barreras, personalizar el aprendizaje y fomentar la inclusión digital. Sin embargo, se subraya la necesidad de abordar sesgos capacitistas e incluir al colectivo en el diseño para una implementación ética y eficaz de la IA.

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Publicado

2026-01-15

Cómo citar

García-Prieto, V., Bonilla-del-Río, M., & Figuereo-Benítez, J. C. (2026). Inteligencia artificial para la inclusión en educomunicación: avances y retos. index.Comunicación, 16(1), 71–97. https://doi.org/10.62008/ixc/16/01Inteli

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Sección

Monográfico 16(1)Inteligencia artificial y comunicación: transformaciones y desafíos en la era digital