Integration of artificial intelligence into university vocational training: a unique perspective

Abstract

This article examines the incorporation of artificial intelligence (AI) into university vocational training in Granma, Cuba, providing a unique perspective that takes into account the specific characteristics of the national educational context. Its overall objective is to analyze how AI influences educational processes and the development of professional competencies, with the goal of proposing innovative strategies that contribute to improving the quality and relevance of higher education. The research highlights the transformative potential of AI to personalize learning and improve academic management; however, it also identifies significant deficiencies in AI-related knowledge and skills among both students and teachers, which limits its effective adoption. Using a mixed methodology that integrates a literature review, documentary analysis, surveys, and expert interviews, the current status of AI integration in pedagogical vocational training is assessed. The results underscore the need to implement specific training programs, promote pedagogical innovation, and encourage inter-institutional collaboration. Finally, it is concluded that successful integration of AI into university education requires a strategy adapted to the Cuban context, one that enhances the principles of equity, inclusion, and social relevance