Pedagogical Methodologies and Approaches Used in the Integration of Artificial Intelligence in University Curricula of Graduate Programs

Abstract

The study on pedagogical methodologies and approaches used in the integration of AI in graduate program curricula outlines the constant educational evolution that goes hand in hand with new technological advances. However, research in this context faces variables where prospective, rigorous, innovative and realistic thinking is required. Therefore, the objective is to identify the pedagogical methodologies and approaches used in the integration of artificial intelligence in the university curricula of postgraduate programs at the global level, within the framework of professional competencies and learning outcomes. The methodology addresses a bibliometric analysis based on PRISMA 2020, where data from Scopus and Web of Science are analyzed. The results demonstrate the importance of the use of AI in Higher Education Institutions (HEIs) from the creation of tools to the needs of the pedagogical context, in the same way it shows the research gap between Asian and Latin American countries in this context.