Application of generative AI-driven personalized learning pathways in pharmacist continuing education
生成式AI驱动的个性化学习路径在药师继续教育中的应用研究

摘要

目的 探讨生成式人工智能技术在药师继续教育个性化学习路径构建中的应用价值与实施路径。方法 分析药师继续教育的现状与挑战，构建基于生成式AI的个性化学习路径理论模型，并设计在不同专科领域的应用场景。结果 生成式AI通过动态能力画像、自适应内容生成和实时反馈机制，能够实现药师继续教育的高度个性化，有效解决传统继续教育中的同质化、更新滞后等痛点。结论 生成式AI为药师继续教育提供了创新解决方案，有助于培养高素质药学专业人才，但应采取策略继续加强数据安全、伦理规范及与传统教学的有机融合。

Abstract

Objective To explore the application value and implementation pathways of generative artificial intelligence (AI) technology in constructing personalized learning pathways for pharmacist continuing education.
Methods The current status and challenges of pharmacist continuing education were analyzed. A theoretical model for generative AI-driven personalized learning pathways was constructed, and application scenarios in different specialized fields were designed.
Results Generative AI enables highly personalized continuing education for pharmacists through dynamic competency profiling, adaptive content generation, and real-time feedback mechanisms. It effectively addresses the limitations of traditional continuing education, such as homogenization and outdated content.
Conclusion   Generative AI provides an innovative solution for pharmacist continuing education, contributing to the cultivation of high-quality pharmaceutical professionals. However, strategies should be implemented to further strengthen data security, ethical norms, and organic integration with traditional teaching methods.