Pathophysiology, a foundational subject in medical and health sciences education, explores the mechanisms underlying disease processes. Despite its importance, the complexity and volume of content often pose significant challenges for students, leading to varied learning outcomes. Traditional teaching methods, which adopt a uniform approach for all learners, frequently fail to address the diverse needs, backgrounds, and learning styles of students. Personalized learning, an innovative educational strategy that tailors instruction to individual learners, offers a promising solution to these challenges. By leveraging adaptive technologies, data analytics, and customized teaching methods, personalized learning can transform pathophysiology education, making it more engaging, effective, and accessible. This article examines the principles of personalized learning, its application in pathophysiology, and the potential benefits and challenges of its implementation. Through a student-centered approach, personalized learning has the potential to enhance comprehension, retention, and critical thinking skills, ultimately preparing students for the demands of clinical practice. The integration of emerging technologies, such as artificial intelligence and virtual reality, further underscores the transformative potential of personalized learning in shaping the future of medical education.

Personalized Learning, pathophysiology education, adaptive learning technologies

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