Advancing Mathematical Problem-Solving through Metacognitive Learning Strategies: Innovations and Applications in Medical and Health Sciences

Abstract Mathematical problem-solving is indispensable in the medical and health sciences, underpinning tasks such as precise calculations, data interpretation, and analytical reasoning essential for effective clinical decision-making and research. Metacognitive learning strategies which encompass planning, monitoring, and evaluating one's cognitive processes are recognized for their pivotal role in enhancing these problem-solving abilities. This paper investigates the integration of metacognitive strategies within mathematics education and their subsequent applications in the medical and health sciences. By fostering self-regulated learning, these strategies not only elevate mathematical proficiency but also enhance decision-making processes in medical practice and research. The study further reviews recent advancements in cognitive science and educational methodologies that bridge the gap between mathematical reasoning and healthcare applications.