Teacher’s job satisfaction and AI use: a comparative analysis by genre and age.
Abstract
The growing impact of artificial intelligence (AI) in educational settings makes it necessary to
understand how its implementation influences teachers’ job satisfaction, especially when
personal factors that may shape this experience are involved. Within this framework, the study
aims to analyse how sociodemographic variables such as gender and age condition teachers’
job satisfaction associated with the use of AI, taking into account possible differences in the
way teachers perceive and incorporate these technologies into their daily practice. To this end,
a questionnaire was administered to 51 teachers in order to compare perceptions between men
and women and to identify potential differences across different age groups. The analysis
confirms significant differences by gender, with men reporting higher satisfaction, whereas age
does not appear to be a determining factor. This study highlights the need for inclusive training
policies that reduce gaps and promote a balanced integration of AI into teaching practice.
Downloads
Copyright (c) 2025 Carlos Pérez Wic, Pablo Cavero López, Elvira Rodríguez Tenorio, José Fernández Cerero

This work is licensed under a Creative Commons Attribution 4.0 International License.
Los autores conservan los derechos de autor.
Esta obra está bajo una licencia internacional Creative Commons Attribution 4.0.
Los artículos publicados por la revista científica "Educare Et Comunicare" de la Facultad de Humanidades de la Universidad Católica Santo Toribio de Mogrovejo, Chiclayo, Perú están sujetos a una licencia internacional Creative Commons Attribution CC BY 4.0















BIBLIOTECA USAT