Advancing medical education through blended methods, resilience, and ethically grounded AI integration
Keywords:
medical education, teaching methods, problem-based learning, flipped classroom, simulation, competency-based, artificial intelligence, burnout, assessmentAbstract
Abstract
Medical education is undergoing rapid transformation, driven by competency-based frameworks, digital technologies, and shifting health system needs. This article examines contemporary instructional methods, key implementation challenges, and future directions in undergraduate and postgraduate medical education. Focus is placed on problem-based learning, team-based learning, flipped classrooms, simulation-based training, and technology-enhanced approaches, alongside the persistent role of supervised clinical apprenticeship. A narrative synthesis of recent reviews and empirical reports is used to contrast pedagogical value with structural constraints such as burnout, inequities in digital access, and assessment misalignment. Emerging opportunities include generative artificial intelligence, learning analytics, and integrated competency-based curricula, provided that ethical, regulatory, and faculty development considerations are addressed. A hypothetical barplot illustrates relative strengths of selected methods in fostering higher-order competencies, and a comparative table contrasts practical features relevant to curriculum design. The article concludes that deliberate blending of methods, attention to educator and learner well-being, and careful governance of AI will be critical for sustainable reform in medical education.
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