THE INTEGRATION OF ARTIFICIAL INTELLIGENCE IN THE PERSONALIZATION OF TEACHING: A NEW PARADIGM FOR BASIC EDUCATION

Abstract

The integration of Artificial Intelligence (AI) in basic education represents a significant transformation in the contemporary educational paradigm. This study looks at how AI can be used to personalize teaching, adapting it to the individual needs of students in basic education. The research examines the challenges and opportunities associated with implementing AI systems in educational settings, focusing on the ability of these technologies to deliver personalized learning experiences. Through a comprehensive literature review, the study explores the potential impacts of AI on student motivation, academic performance, and teaching effectiveness. The results indicate that AI can significantly improve the personalization of teaching, offering real-time feedback, adapting content and pedagogical strategies to the individual needs of students. However, important challenges are also identified, including ethical issues, data privacy, and the need for adequate training for educators. The study concludes that while AI offers transformative potential for basic education, its successful implementation requires a careful and balanced approach, considering both the pedagogical benefits and the ethical and practical challenges.