Aplicaciones IA que mejoran el rendimiento académico del alumnado que reside en zonas en exclusión social para la prevención del abandono escolar

Autores/as

  • Fatima Zahra Rakdani Arif Billah Departamento de Métodos de Investigación y de Diagnóstico en Educación, Universidad de Granada, España
  • Jennifer Serrano - García Departamento de Métodos de Investigación y de Diagnóstico en Educación, Universidad de Granada, España

DOI:

https://doi.org/10.20868/abe.2025.1.5453

Palabras clave:

inteligencia Artificial, inclusión social, abandono escolar, rendimiento académico, exclusión social

Resumen

La inclusión de la IA en las instituciones educativas está alterando la forma en la que el estudiantado, profesorado y centros educativos funcionan. El presente estudio tiene como objetivo general indagar en el uso de las aplicaciones IA que mejoran el rendimiento académico del alumnado que reside en zonas en exclusión social para la prevención del abandono escolar. Se utilizó una metodología basada en el empleo de una revisión enfocada de la literatura. Las bases de datos que se utilizaron fueron Scopus y Web of Science. Los resultados incluyen veinte aplicaciones de inteligencia artificial, de las cuales se han extraído su objetivo, aplicabilidad, uso, accesibilidad y mejora. Finalmente, se concluye que el uso de estas aplicaciones permite la personalización de las experiencias de aprendizaje y mejora del rendimiento académico, pero se incide en la formación del profesional y del estudiante para garantizar el uso ético de la inteligencia artificial.

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2025-04-30

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Cómo citar

Rakdani Arif Billah, F. Z., & Serrano - García, J. (2025). Aplicaciones IA que mejoran el rendimiento académico del alumnado que reside en zonas en exclusión social para la prevención del abandono escolar. Advances in Building Education, 9(1), 51-63. https://doi.org/10.20868/abe.2025.1.5453