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...

The integration of artificial intelligence in education generates both enthusiasm and concern, particularly regarding ethics, biases, and academic integrity. This study examines how factors such as cognition, ability, vision, ethics, perceived threats, and innovation influence teachers’ job satisfaction when incorporating AI into their classrooms. To this end, a questionnaire was administered to 51 teachers from several educational levels, analyzing their perceptions and competences regarding these technologies.  The results reveal a predominantly positive assessment of AI, especially for its ability to improve teaching practice and to increase job satisfaction. Nevertheless, weaknesses were identified regarding the technical handling of AI, particularly in the ability dimension, highlighting the need for a stronger training. Furthermore, it was observed that cognition impacts tea...