PERSONALIZED MATHEMATICS LEARNING: DIFFERENTIATED INSTRUCTION AND TECHNOLOGIES TO DEVELOP LOGICAL REASONING
Keywords:
personalized learning, differentiated instruction, mathematics education, logical reasoning, adaptive technology, educational technology, cognitive development, problem-solving, formative assessment, student-centered learning.Abstract
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.
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