引用本文:
王海媛, 靳晓宁, 孙雅静, 张振, 赵温涛, 李轶. 人工智能赋能高效液相色谱实验教学改革的实践探索[J]. 大学化学,
2026, 41(4): 45-51.
doi:
10.12461/PKU.DXHX202505076
Citation: Haiyuan Wang, Xiaoning Jin, Yajing Sun, Zhen Zhang, Wentao Zhao, Yi Li. Practical Exploration of High-Performance Liquid Chromatography Experiment Teaching Reform Empowered by Artificial Intelligence[J]. University Chemistry, 2026, 41(4): 45-51. doi: 10.12461/PKU.DXHX202505076
Citation: Haiyuan Wang, Xiaoning Jin, Yajing Sun, Zhen Zhang, Wentao Zhao, Yi Li. Practical Exploration of High-Performance Liquid Chromatography Experiment Teaching Reform Empowered by Artificial Intelligence[J]. University Chemistry, 2026, 41(4): 45-51. doi: 10.12461/PKU.DXHX202505076
人工智能赋能高效液相色谱实验教学改革的实践探索
English
Practical Exploration of High-Performance Liquid Chromatography Experiment Teaching Reform Empowered by Artificial Intelligence
Abstract:
In the context of digital transformation in higher education, this study, based on the New Engineering Education Paradigm, addresses the challenges in High-Performance Liquid Chromatography (HPLC) experiment teaching. A novel pedagogical model has been developed, characterized by the integration of virtual and physical elements, AI-driven innovation, and value-oriented guidance. By incorporating immersive virtual dissection technology and intelligent optimization algorithms with cutting-edge research projects, the proposed approach aims to concretize theoretical knowledge, systematize experimental procedures, and advance scientific thinking. This model offers an innovative educational framework for cultivating top-tier chemistry talent.
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