AI技术赋能BOPPPS教学模式：理论应用与案例探索

Empowering the BOPPPS Teaching Model with AI Technology: Theoretical Application and Case Exploration

摘要: 随着现代医学教育面临知识更新加速和实践能力要求提升的双重挑战，传统教学模式已难以满足学生多样化和个性化的学习需求。BOPPPS教学模式以其以学生为中心、强调互动与反馈的特点，为医学教育改革提供了新思路。与此同时，人工智能(AI)技术在教育领域的应用为教学创新提供了新机遇。本研究聚焦于AI技术赋能BOPPPS教学模式的理论应用与案例探索，系统分析了AI技术在BOPPPS各环节中的应用策略及其教学效果。研究表明，AI技术通过个性化学习路径、智能评估、虚拟现实等手段，显著提升了学生的学习兴趣、课堂参与度和学业成绩。AI与BOPPPS的结合不仅优化了教学流程，还为医学教育的创新发展提供了有力支持。需要特别关注的是，AI应用过程中涉及的数据隐私保护、算法公平性验证以及人机责任界定等伦理问题亟待解决。未来，在推动AI技术深度应用的同时，需建立多层次的伦理审查机制，确保技术应用的合规性与教育的人文性平衡发展。

Abstract: With the dual challenges of accelerated knowledge updates and increased demands for practical abilities in modern medical education, traditional teaching methods have struggled to meet the diverse and personalized learning needs of students. The BOPPPS teaching model, characterized by its student-centered approach and emphasis on interaction and feedback, has provided new ideas for the reform of medical education. Meanwhile, the application of artificial intelligence (AI) technology in education has offered new opportunities for teaching innovation. This study focused on the theoretical application and case exploration of AI technology empowering the BOPPPS teaching model, systematically analyzing the application strategies of AI technology in each component of the BOPPPS framework and its teaching effects. The study showed that AI technology significantly enhanced students’ learning interest, classroom engagement, and academic performance through personalized learning pathways, intelligent assessments, and virtual reality, among other means. The integration of AI and BOPPPS not only optimized teaching processes but also provided strong support for the innovative development of medical education. However, it was crucial to note that ethical challenges such as data privacy protection, algorithmic fairness verification, and human-machine responsibility delineation required urgent attention. Moving forward, while advancing the deeper application of AI, it was necessary to establish a multi-level ethical review mechanism to ensure a balance between technological compliance and educational humanistic values.