Impacto de la inteligencia artificial en docentes y su aplicación en la educación inclusiva

Rossemary Catalina Montiel Arreaga, Mayda Sobeida Montiel Alcivar, Juan Francisco Falquez, Elisa Amelia Montiel Alcivar, Edgar Alejandro Yungan Parra

Resumen


El presente estudio analiza la producción científica sobre el impacto de la inteligencia artificial (IA) en docentes y su aplicación en la educación inclusiva, a través de un análisis bibliométrico en las bases de datos Web of Science y Scopus. Se recopilaron documentos publicados entre 2014 y 2024, centrados en artículos y revisiones. El preprocesamiento de los datos incluyó la unificación de nombres de autor y la eliminación de duplicados, lo que resultó en 157 documentos finales. Los resultados muestran un incremento sostenido en la cantidad de publicaciones, con un fuerte aumento entre 2023 y 2024, evidenciando el interés creciente por esta temática.

Los hallazgos revelan que la IA se utiliza principalmente para la personalización de la enseñanza, el apoyo a estudiantes con necesidades específicas y la optimización de la práctica docente. Asimismo, se identifica un cambio conceptual hacia el uso de tecnologías avanzadas como el aprendizaje profundo y la realidad aumentada, particularmente en intervenciones dirigidas a estudiantes con autismo o discapacidad auditiva. Sin embargo, persisten desafíos relacionados con la desigualdad en el acceso a la tecnología, la preparación docente y los aspectos éticos de la IA. Este estudio contribuye a la comprensión de las tendencias actuales y los vacíos de investigación, orientando futuras políticas y estrategias para la formación docente y la inclusión educativa.


Palabras clave


Inteligencia artificial; Educación inclusiva; Estrategias docentes; Aprendizaje profundo; Realidad aumentada; Formación docente.

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DOI: https://doi.org/10.23857/pc.v10i5.9539

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