PERSONALIZATION OF LEARNING WITH ARTIFICIAL INTELLIGENCE: HOW AI IS TRANSFORMING EDUCATION AND CURRICULUM

Abstract

This research analyzed the impact of Artificial Intelligence (AI) on the personalization of learning and its influence on the transformation of teaching and curriculum. The central problem investigated was to identify the main ways in which AI is changing pedagogical practices and curricular structures. The overall objective was to analyze the applications of AI in the personalization of learning in the educational context, highlighting its implications for teaching and curriculum development. The methodology used was a literature review, with a qualitative approach, including the analysis of published materials such as books, scientific articles, theses and official documents. The results indicated that AI is providing significant opportunities for the personalization of learning, allowing the adaptation of content and teaching pace to the individual needs of students. AI applications range from intelligent tutoring systems to platforms for predictive analysis of student performance. The research highlighted the importance of a balanced approach that considers both the benefits and the ethical challenges of implementing AI in education. The concluding remarks pointed out that, despite promising advances, the effective integration of AI in education requires a reformulation of traditional pedagogical and curricular models. Investments in teacher training, development of technological infrastructure and the development of appropriate educational policies are essential to maximize the benefits of AI in personalizing learning. The need for future studies was highlighted to explore the long-term impacts of AI in education and develop best practices for its implementation.