大学化学 >> 2026, Vol. 41 >> Issue (8): 63-70.doi: 10.12461/PKU.DXHX202507064

教学研究与改革 上一篇    下一篇

项目式教学与生成式人工智能融合驱动中药化学实验教学进阶发展

高明亮, 周桂生, 陈佩东   

  1. 南京中医药大学药学院, 江苏 南京 210023
  • 收稿日期:2025-07-16 录用日期:2025-09-18 发布日期:2026-08-25
  • 通讯作者: 陈佩东 E-mail:cpd@njucm.edu.cn Peidong Chen
  • 基金资助:
    南京中医药大学2025年度校级课程思政示范课程-中药化学;南京中医药大学本科教育教学改革研究课题(NZYJG2022034)

Integration of project-based learning and generative artificial intelligence promotes advanced development in traditional Chinese medicine chemistry laboratory instruction

Mingliang Gao, Guisheng Zhou, Peidong Chen   

  1. School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, Jiangsu Province, China
  • Received:2025-07-16 Accepted:2025-09-18 Published:2026-08-25
  • Contact: Peidong Chen E-mail:cpd@njucm.edu.cn

摘要: 系统分析了项目式教学与生成式人工智能在化学教育领域的发展现状及中药化学实验教学所面临的实际挑战,重点探讨了二者融合应用于中药化学实验教学的潜力。以教研室已建成的涵盖验证性、综合性及自主设计性实验的分阶段进阶体系为框架,结合黄藤中巴马汀制备、槐米中芦丁提取等具体实验案例,从课前预习、课中实验、课后评价三个阶段,初步探讨项目式教学与生成式人工智能融入中药化学实验教学的具体路径。通过理论分析与实践案例相结合,为构建符合时代要求的中药化学实验教学方案提供了可操作的实践参考。

关键词: 中药化学实验, 项目式教学, 生成式人工智能, 融合

Abstract: This study systematically examines the current advancements of project-based learning (PBL) and generative artificial intelligence (Gen-AI) in chemical education, while addressing the practical challenges encountered in Traditional Chinese Medicine (TCM) chemistry laboratory teaching. The research focuses on exploring the synergistic potential of integrating these two approaches in TCM chemistry experimental education. Utilizing our teaching group's established tiered experimental framework—which includes confirmatory, comprehensive, and independent design experiments—we demonstrate the application of these methodologies through specific case studies, such as palmatine preparation from Fibraureae Caulis and rutin extraction from Sophorae Flos. The investigation systematically explores implementation pathways for incorporating PBL combined with Gen-AI throughout three key phases: pre-laboratory preparation, in-laboratory experimentation, and post-laboratory assessment. By integrating theoretical analysis with practical case studies, this work provides actionable guidance for developing a modern, effective experimental teaching paradigm in TCM chemistry education.

Key words: Traditional Chinese medicine chemistry experiment, Project-based learning, Generative artificial intelligence, Integration