PERSONALIZING LEARNING WITH ARTIFICIAL INTELLIGENCE: HOW AI IS TRANSFORMING TEACHING 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 modifying 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 the bibliographic 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 the pace of teaching to the individual needs of students. The applications of AI range from intelligent tutoring systems to predictive analytics platforms for student performance. The research highlighted the importance of a balanced approach that considers both the benefits and ethical challenges of implementing AI in education. The final considerations pointed out that, despite the promising advances, the effective integration of AI in teaching requires a reformulation of traditional pedagogical and curricular models. Investments in educator 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 underscored to explore the long-term impacts of AI on education and develop best practices for its implementation.