ARTIFICIAL INTELLIGENCE AND EDUCATION: FROM PATTERN IDENTIFICATION TO THE TRANSFORMATION OF PEDAGOGICAL PRACTICES

Abstract

This research addresses how Artificial Intelligence (AI) has consolidated itself as a strategic technology in the educational field, with the potential to transform pedagogical practices, improve management processes, and foster inclusion. Its use enables the analysis of large volumes of data, the identification of learning patterns, and the provision of personalized solutions, contributing to enhanced student performance and the reduction of school dropout rates. In this context, AI emerges as an important ally for administrators, teachers, and students by supporting more evidence-based and efficient decision-making. In educational management, the incorporation of intelligent algorithms expands the ability to forecast scenarios, optimize resources, and develop more effective monitoring policies. This ensures greater transparency in processes and strengthens community participation within schools. From a pedagogical perspective, AI enriches teaching and learning through individualized feedback, interactive resources, and adaptations tailored to the specific needs of students, including those in special education contexts. Beyond technical and pedagogical benefits, it is essential to reflect on the ethical and social dimensions of its use. The humanization of digital interactions, the preservation of privacy, and the protection of sensitive data are indispensable pillars. Thus, AI represents not only technological advancement but also an opportunity to promote more inclusive, democratic, and socially responsive educational environments aligned with the demands of contemporary society.