Integration of Intrapersonal Intelligence and Reflective Learning to Improve Mathematical Problem-Solving Skills
Abstract
The ability to solve mathematical problems is a fundamental competency that reflects students’ higher-order thinking and metacognitive awareness. This study aims to enhance students’ mathematical problem-solving skills through the integration of intrapersonal intelligence and reflective learning. The integration is based on the premise that intrapersonal intelligence—students’ capacity for self-awareness, self-regulation, and reflection plays a crucial role in managing cognitive and emotional processes during problem solving. Reflective learning, in turn, provides structured opportunities for students to analyze their thought processes, evaluate strategies, and construct new understanding from experience. The research employed a quasi-experimental design involving students of mathematics education, with learning interventions that combined reflective journal writing, guided self-assessment, and metacognitive questioning strategies. Data were collected through problem-solving tests, observation sheets, and student reflection logs. The results indicate a significant improvement in students’ ability to identify problems, plan and implement solution strategies, and evaluate outcomes. Students also demonstrated greater self-regulation, confidence, and persistence when dealing with complex mathematical tasks. The findings suggest that integrating intrapersonal intelligence and reflective learning effectively fosters deeper understanding, critical thinking, and self-directed learning, which are essential components in developing mathematical problem-solving competence.
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