PERSONALIZED MATHEMATICS LEARNING: DIFFERENTIATED INSTRUCTION AND TECHNOLOGIES TO DEVELOP LOGICAL REASONING

This article explores the synergy between personalized learning, differentiated instruction, and modern educational technologies in fostering logical reasoning in mathematics education. Traditional one-size-fits-all approaches often fail to address diverse student needs, hindering the development of critical thinking. This study reviews current pedagogical strategies and technological tools, including adaptive learning platforms and AI-driven tutors, that facilitate individualized learning paths. The findings indicate that a blended model, which combines diagnostic assessments, flexible content delivery, and real-time feedback, significantly enhances students' capacity for logical deduction, pattern recognition, and structured problem-solving. The article concludes with practical recommendations for educators seeking to implement these methodologies to cultivate a deeper, more intuitive understanding of mathematical logic.