Artificial intelligence, challenges and opportunities for a better world for teacher training

Abstract

This article offers an overview of the challenges and opportunities that artificial intelligence (AI) offers in continuing teacher training, highlighting its transformative potential in diverse contexts and its structural limitations. It explores how AI personalizes learning through adaptive systems that identify individual needs and suggests a national platform that optimizes resources and promotes pedagogical innovation. It addresses challenges that create a digital divide through online solutions and workshops that support equity, especially in rural areas, given the shortcomings teachers face in this context. It reveals the need for new teaching competencies that integrate practical skills with tools such as chat and ethical reflection. Through modules and workshops piloted at universities, suggestions are offered to the national AI-based network to strengthen university-society relations and promote the exchange of experiences between educators from diverse regions, with transparent, equitable, and autonomous ethical implications, in line with Cuban humanistic values. Strategies of local practices and interdisciplinary collaboration with equitable and ethical approaches are resumed to continuing teacher training, fostering socialization, innovation, the exchange of experiences, and the development of human capital from the university level.