Traditional mathematics instruction often fails to address the diverse learning needs of students, leading to frustration and disengagement. This study proposes personalized learning, emphasizing sequential learning, diagnostic assessments, and technology to tailor instruction. This research examines the potential of personalized learning to enhance student engagement, motivation, and deeper mathematical understanding. A comprehensive theoretical analysis, literature review, and mind map evaluation illuminate the challenges and transformative possibilities of implementing personalized learning in mathematics education. This study suggests that when thoughtfully implemented, individualized learning can increase student motivation and engagement in mathematics by tailoring instruction to individual needs, building mathematical confidence and supporting overall learning development.