Economics of education: a conceptual analysis of the foundations and challenges in the age of AI
Abstract
This study was conducted considering the theme of the economics of education and, above all, focusing on a trend such as artificial intelligence (AI). This theme, which in the research is driven by the economics of education, is grounded in the conceptual foundations of the field. Its main objective is to construct an updated diagnosis of the relationships between education, economic growth, and technological transformations. Therefore, the methodology employed was a conceptual analysis that documented and compared studies on the most recognized themes, such as access and equity, quality and learning results, financing, governance, accountability, technology, and digital transformation. Among the conclusions, the most significant was the need for public decision-making in a context of accelerated technological change, fiscal challenges, and growing learning gaps. The report proposes public policy pathways to maximize the social return on investment in education, safeguard equity, and guide responsible AI use. Thus, one of the findings was that, due to inequalities in Latin America and Mexico, gaps still exist in the aforementioned areas, and that, especially given the multidisciplinary nature of the economics of education, it is crucial to conduct research from diverse fields of knowledge.
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