Transitioning from Equality to an AI-Supported Equitable Education Paradigm

Abstract

This conceptual paper aims to propose a transformative shift in Latin American education from an equality-based paradigm to an equity-based one 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 the potential of AI in personalizing 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, thereby addressing the region's educational challenges more effectively. The proposed paradigm shift could lead to more inclusive education, reduced dropout rates, better integration of migrant students, and enhanced global competitiveness for Latin American youth.