Artificial Intelligence and the Modelling of Teachers’ Competencies

Abstract

This research explores educators' perceptions of their role in shaping competencies and also presents the key challenges and measures perceived by educators in the AI system development landscape. The study employs a partial least square – structural equation modelling (PLS-SEM) as the primary analytical tool. A set of hypotheses was derived from the literature, formulated and tested to substantiate the relationship between educators' attitudes and competencies. The findings highlight a significant positive relationship between teachers' attitudes toward AI and competence development, with the most pronounced impact on educational management competencies. Thus, teachers' positive attitudes toward AI statistically significant influence cognitive, fundamental and educational management competencies, underscoring the critical role of instilling positive attitude towards AI among educators to foster the development of multifaceted competencies. Furthermore