人工智能赋能物理化学实验课程的设计与思考

doi:10.12461/PKU.DXHX202412015

Abstract

Abstract: The digitalization of education represents a significant breakthrough for China in exploring new pathways for educational development, and the integration of artificial intelligence into education is an inevitable trend. This article analyzes the design principles for incorporating artificial intelligence into physical chemistry laboratory courses, based on the exploration of intelligent teaching models. It presents a concrete vision for an artificial intelligence-enabled physical chemistry laboratory platform and evaluates the initial practical outcomes at our institution. This research provides a novel perspective for advancing the transformation of traditional chemistry laboratory teaching methods towards a more intelligent approach.

Key words: Artificial intelligence, Physical chemistry, Teaching design, Intelligent assistance, Personalized learning

Meirong Cui, Mo Xie, Jie Chao. Design and Reflections on the Integration of Artificial Intelligence in Physical Chemistry Laboratory Courses[J].University Chemistry, 2025, 40(5): 291-300.

[1]	Cheng-an Tao, Jian Huang, Yujiao Li. Exploring the Application of Artificial Intelligence in University Chemistry Laboratory Instruction [J]. University Chemistry, 2025, 40(9): 5-10.
[2]	Lei Qin, Kai Guo. Application of Generative Artificial Intelligence in the Simulation of Acid-Base Titration Images [J]. University Chemistry, 2025, 40(9): 11-18.
[3]	Shuangshuang Long, Jingjing Liu, Xiaojuan Wang. Exploring the Application of Generative AI in Analytical Chemistry Education [J]. University Chemistry, 2025, 40(9): 25-33.
[4]	Weigang Zhu, Jianfeng Wang, Qiang Qi, Jing Li, Zhicheng Zhang, Xi Yu. Curriculum Development for Cheminformatics and AI-Driven Chemistry Theory toward an Intelligent Era [J]. University Chemistry, 2025, 40(9): 34-42.
[5]	Bingbing Chen, Xuzhen Wang, Chuan Shi, Fuping Tian. Digital Empowerment: Reshaping the New Paradigm of Ideological and Political Education in Physical Chemistry Courses [J]. University Chemistry, 2025, 40(9): 61-68.
[6]	Xiao Ma, Junjie Wang, Xin Chen, Jingcheng Li, Lihong Zhao, Xueping Sun, Shaojuan Cheng, Fang Wang. Exploring Innovative Approaches to Chemistry Instructional Organization Driven by Artificial Intelligence [J]. University Chemistry, 2025, 40(9): 99-106.
[7]	Yan Zhang, Xiaoyan Cao, Yiming Li, Shuwei Xia, Mutai Bao. Comparison of Electrolyte Solutions Section in Physical Chemistry Textbooks at Home and Abroad [J]. University Chemistry, 2025, 40(9): 303-309.
[8]	Run Yang, Huajie Pang, Huiping Zang, Ruizhong Zhang, Zhicheng Zhang, Xiyan Li, Libing Zhang. Artificial Intelligence-Enabled DNA Computing: Exploring New Frontiers in Bioinformatics [J]. University Chemistry, 2025, 40(9): 107-117.
[9]	Yan Zhang, Limin Zhou, Xiaoyan Cao, Mutai Bao. Exploring the Application of Artificial Intelligence in Marine-Themed Integrated Physical Chemistry Experiments [J]. University Chemistry, 2025, 40(9): 118-125.
[10]	Zixuan Jiang, Yihan Wen, Kejie Chai, Weiming Xu. Exploring Chemistry Bridging Education from Data-Driven to Symbol Establishment within the Framework of AI Models [J]. University Chemistry, 2025, 40(9): 132-141.
[11]	Haoran Zhang, Yaxin Jin, Peng Kang, Sheng Zhang. The Convergence and Innovative Application of Artificial Intelligence in Scientific Research: A Case Study of Electrocatalytic Carbon Dioxide Reduction in the Context of the Dual-Carbon Strategy [J]. University Chemistry, 2025, 40(9): 148-155.
[12]	Wuyi Feng, Di Zhao. Significance and Measures of Integrating Artificial Intelligence Technology into College Chemistry Teaching [J]. University Chemistry, 2025, 40(9): 156-163.
[13]	Yu Fang. AI-Empowered Education: A Case Study of Self-Directed Learning with ChatGPT-4 [J]. University Chemistry, 2025, 40(9): 1-4.
[14]	Yuanyuan Cheng, Di Zhao, Zhicheng Zhang. Practical Exploration of AI-Enabled Rain Classroom in Blended Teaching of Physical Chemistry [J]. University Chemistry, 2025, 40(9): 196-205.
[15]	Lingli Wu, Shengbin Lei. Generative AI-Driven Innovative Chemistry Teaching: Current Status and Future Prospects [J]. University Chemistry, 2025, 40(9): 206-219.

Design and Reflections on the Integration of Artificial Intelligence in Physical Chemistry Laboratory Courses

PDF

Like

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Metrics

Recommended 0