《流行病学》作为公共卫生与预防医学的主干课程,对于培养高质量公共卫生人才至关重要。在大数据、人工智能和互联网技术迅猛发展的时代背景下,传统的单一教学模式已无法满足现代医学教育的需求。线上线下混合教学模式逐渐成为高等医学教育的主要教学方式。这种模式结合了线上资源的丰富性和线下课堂的互动性,能够拓展教学内容,提高学生的自主学习能力。通过大数据分析和人工智能技术,可以提供个性化学习体验和实时反馈,优化教学效果。然而,这一模式在实际应用中仍面临诸如资源整合不够、师生互动不足等挑战。文章以广州医科大学为例,分析了《流行病学》课程中混合教学模式的优势与不足,并提出了针对性的改进建议。通过这些建议,旨在提升混合教学模式的有效性,为未来教学改革提供新的思路和参考。

Epidemiology,as a core course in public health and preventive medicine,is crucial for training high-quality public health professionals．With the rapid development of big data,artificial intelligence,and internet technologies,traditional single-mode teaching methods no longer meet the demands of modern education．The blended learning model,combining online and offline teaching,has gradually become a primary method in higher medical education．This model integrates the richness of online resources with the interactivity of offline classes,expanding instructional content and enhancing students' self-directed learning abilities．By leveraging big data analysis and artificial intelligence,personalized learning experiences and real-time feedback can be provided to optimize teaching effectiveness．However,this model still faces challenges such as inadequate resource integration and insufficient teacher-student interaction in practical application．This study uses a medical university as a case study to analyze the advantages and limitations of the blended learning model in epidemiology courses and proposes targeted improvement suggestions．The aim is to enhance the effectiveness of blended learning and provide new insights and references for future teaching reforms．