Teaching Reform of Instrumental Analysis Course Based on Generative Artificial Intelligence
MO Jia-Le1**, LIU Yong-Lin2,3
1. School of Environment Monitoring, Guangdong Polytechnic of Environment Protection Engineering, Foshan 528216, China; 2. Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China; 3. Hangzhou Puyu Technology Development Co., Ltd., Hangzhou 311305, China
Abstract Generative Artificial Intelligence(GAI) has become an important tool for innovating teaching methods and optimizing teaching practices in the field of education.Focusing on the course of instrumental analysis,this paper proposes a teaching practice path based on GAI,covering selection strategies,content generation,and evaluation effects,and explores its role in teaching.The results show that in the teaching activities,GAI can reconstruct the teaching content according to the requirements of professional teaching standards,optimize the teaching strategies,assist in the production of courseware,teaching videos,interactive web pages and other teaching resources,and carry out the analysis of learning conditions,which provides strong support for the digital transformation of curriculum education and the improvement of education and teaching quality.
MO Jia-Le, LIU Yong-Lin. Teaching Reform of Instrumental Analysis Course Based on Generative Artificial Intelligence[J]. Chinese Journal of Chemical Education, 2025, 46(22): 84-89.
