The governance and management of doctoral training supported by artificial intelligence at the Cuban university XVIII Taller Internacional “Formación de posgrado para un desarrollo sostenible”
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Abstract
The governance and management of doctoral training are key processes to achieve the advancement of knowledge, innovation and socioeconomic development in Cuba. If these processes are supported by artificial intelligence (AI) tools, the efficiency, effectiveness, quality and sustainability of doctoral training in Cuban universities is increased, so this paper aims to justify the improvement of the governance and management of doctoral training in Cuban universities. However, the efforts made by universities to implement AI tools in doctoral training, based on the potential offered by AI, are incipient. The research process was based on the dialectical paradigm and was assisted by theoretical, empirical methods and statistical techniques with the support of AI. The governance and management of doctoral training supported by AI was based on theory and practice. The way of justifying the use of AI in doctoral training in Cuban universities is novel, based on the identification of 16 areas related to governance and management and the 34 strategic actions proposed to substantially improve the efficiency, effectiveness, quality and sustainability of doctoral training. In addition, seven challenges are recognized for the implementation of AI in the governance and management of doctoral training, which will allow line managers and academic managers to make the right decisions.
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