Facultad de Educación · 2026

Transitioning from Equality to an AI-Supported Equitable Education Paradigm

Resumen

This conceptual article aims to propose a transformative change in Latin American education, moving from a paradigm based on equality to one based on equity, supported by artificial intelligence, to address entrenched social inequality, forced displacement, and the need for 21st-century skills. This article analyzes three key educational challenges in Latin America and examines how AI can facilitate the transition to an equity-based education system. It critically evaluates the current equality paradigm and explores AI's potential to personalize learning. The equality paradigm perpetuates educational gaps by treating all students uniformly. An equity-based approach, supported by AI, can personalize learning, identify at-risk students, adapt resources to diverse contexts, and foster 21st-century skills, thus more effectively addressing the region's educational challenges. The proposed paradigm shift could lead to more inclusive education, reduced dropout rates, better integration of migrant students, and greater global competitiveness for Latin American youth.