人工智能驱动药学专业物理化学课程的建设与教学实践

The Construction and Teaching Practice of the Physical Chemistry Course for the Pharmacy Major Driven by Artificial Intelligence

摘要: 物理化学作为药学学科的核心基础支撑，其教学质量直接影响药物研发、制剂优化等下游专业能力培养。然而，当前传统教学模式面临专业适配性不足、个性化指导缺失、实验教学薄弱及评价机制单一等现实困境，难以满足新时代创新型药学人才培养需求。本文基于人工智能(Artificial Intelligence, AI)与高等教育深度融合的发展趋势，系统阐述多模态认知中枢搭建、药学特色资源库建设、动态教学链路重构及多维评价体系构建的实践方案，为高等药学教育改革提供可操作的实践范式。

Abstract: Physical chemistry serves as the core foundational support for the discipline of pharmacy, and its teaching quality directly affects the cultivation of downstream professional capabilities such as drug research and formulation optimization. However, the current traditional teaching model is facing practical challenges such as insufficient professional adaptability, lack of personalized guidance, weak experimental teaching, and a single evaluation mechanism, which are unable to meet the needs of innovative pharmacy talent cultivation in the new era. Based on the development trend of the deep integration of artificial intelligence (AI) and higher education, this paper systematically elaborates on the practical solutions of building a multimodal cognitive center, constructing a pharmacy-specific resource library, reconfiguring dynamic teaching links, and establishing a multi-dimensional evaluation system, providing a practical and operable model for the reform of higher pharmacy education.