Resumen

ORTEGA AURIS, Ángela Soledad; PADILLA CABALLERO, Jesús Emilio Agustín  y  ORTEGA AURIS, Janet Sadith. Work overload and artificial intelligence in teachers: a systematic review. Impulso [online]. 2025, vol.5, n.10, pp.227-242.  Epub 03-Abr-2025. ISSN 2959-9040.  https://doi.org/10.59659/impulso.v.5i10.113.

The development of technology contributes to reducing overload in the work environment. This article is based on the PRISMA approach and aims to synthesize scientific evidence on how AI can mitigate workload and burnout among teachers. A search was conducted in recognized academic databases, initially selecting 131 articles. After applying inclusion criteria related to studies in Spanish or English published in recent years focusing on teachers and AI use, and excluding studies with low methodological quality or unclear results, 10 studies were included for analysis. The results indicate that AI helps reduce administrative tasks, optimize planning, and personalize teaching, which decreases stress and improves job satisfaction. The conclusions state that the responsible integration of AI tools is a strategy that reduces work overload.

Palabras clave : Docentes; IA; Estrés; Tecnología, Sobrecarga laboral; Teachers; AI; Stress; Technology; Work overload.

        · resumen en Español | Portugués     · texto en Español     · Español ( pdf )