Publications in the field of Artificial Intelligence (AI) are growing remarkably in the last decade. This can be explained by the fact that AI applications have become widespread in scientific and industrial fields. Education is one of the most relevant domains where AI applications can improve quality and equity in access, according to UNESCO [1] recommendations. Following this global trend, higher education institutions in developing countries, as in advanced countries, have taken measures and approaches to implement AI solutions. Despites the lack of clear national strategies in many of them, several interesting use cases are identified through our literature review performed between 2012 and 2022. We aim with our work to explore applications of AI in the field of engineering education and in the context of Higher Education institutions in developing countries. Our approach shows prioritised AI applications in such countries and how those applications are exploited to prepare graduates to meet industrial needs by classifying findings and organizing them in a concepts map. © 2023 IEEE.
Author Keywords
Index Keywords
