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Citation: 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. doi: 10.12461/PKU.DXHX202412015 shu

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

School of Materials Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210023, China

Corresponding author: Meirong Cui, Jie Chao,
Received Date: 2 December 2024
Revised Date: 15 January 2025

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.
- Artificial intelligence,
- Physical chemistry,
- Teaching design,
- Intelligent assistance,
- Personalized learning
1. [1]
2. [2]
3. [3]
4. [4]
5. [5]
6. [6]
  Szymkuc, S.; Gajewska, E. P.; Klucznik, T.; Molga, K.; Dittwald, P.; Startek, M.; Bajczyk, M.; Grzybowski, B. A. Angew. Chem. Int. Ed. 2016, 55 (20), 5904.
7. [7]
  Mikulak-Klucznik, B.; Golebiowska, P.; Bayly, A. A.; Popik, O.; Klucznik, T.; Szymkuc, S.; Gajewska, E. P.; Dittwald, P.; Staszewska-Krajewska, O.; Beker, W.; et al. Nature 2020, 588 (7836), 83.
8. [8]
  Segler, M. H. S.; Preuss, M.; Waller, M. P. Nature 2018, 555 (7698), 604.
9. [9]
10. [10]
11. [11]
  Zhang, L. F.; Han, J.; Wang, H.; Car, R.; Weinan, E. Phys. Rev. Lett. 2018, 120 (14), 143001.
12. [12]
  Jia, W.; Yang, Z.; Yang, M.; Cheng, L.; Lei, Z.; Wang, X. J. Chem. Inf. Model. 2020, 61 (1), 21.
13. [13]
  Tiina, R.; Juha, V.; Henna, K. J. Build. Eng. 2017, No. 9, 135.
14. [14]
  Akmandor, A. O.; YIN, H.; Jha, N. K. IEEE Trans. Multi-Scale Comput. Syst. 2018, 4 (4), 914.
15. [15]
1. [1]
  Cheng-an Tao , Jian Huang , Yujiao Li . Exploring the Application of Artificial Intelligence in University Chemistry Laboratory Instruction. University Chemistry, 2025, 40(9): 5-10. doi: 10.12461/PKU.DXHX202408132
2. [2]
  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. University Chemistry, 2025, 40(9): 99-106. doi: 10.12461/PKU.DXHX202410085
3. [3]
  Wuyi Feng , Di Zhao . Significance and Measures of Integrating Artificial Intelligence Technology into College Chemistry Teaching. University Chemistry, 2025, 40(9): 156-163. doi: 10.12461/PKU.DXHX202502107
4. [4]
  Lingli Wu , Shengbin Lei . Generative AI-Driven Innovative Chemistry Teaching: Current Status and Future Prospects. University Chemistry, 2025, 40(9): 206-219. doi: 10.12461/PKU.DXHX202503069
5. [5]
  Yanling Luo , Xuejie Qi , Rui Shen , Xuling Peng , Xiaoyan Han . Design and Implementation of Ideological and Political Education in the Physical Chemistry Course at Traditional Chinese Medicine Universities: A Case Study of the Phase Diagram of Water. University Chemistry, 2024, 39(11): 9-14. doi: 10.3866/PKU.DXHX202402003
6. [6]
  Geshan Zhang , Haodong Tang , Zongjian Liu , Feng Feng . Application of the BOPPPS Effective Teaching Model in Bilingual Physical Chemistry Instruction: A Case on Colligative Properties of Dilute Solutions. University Chemistry, 2025, 40(11): 376-381. doi: 10.12461/PKU.DXHX202412127
7. [7]
  Yan Zhang , Limin Zhou , Xiaoyan Cao , Mutai Bao . Exploring the Application of Artificial Intelligence in Marine-Themed Integrated Physical Chemistry Experiments. University Chemistry, 2025, 40(9): 118-125. doi: 10.12461/PKU.DXHX202503062
8. [8]
  Tongqi Ye , Qi Wang , Yuewen Ye , Yanqing Wang , Hongyang Zhou , Xianghua Kong . Reflection on the Reform of Physical Chemistry Teaching under the Background of “Intelligent Chemical Engineering”. University Chemistry, 2024, 39(3): 167-173. doi: 10.3866/PKU.DXHX202308116
9. [9]
  Yifan Liu , Haonan Peng . AI-Assisted New Era in Chemistry: A Review of the Application and Development of Artificial Intelligence in Chemistry. University Chemistry, 2025, 40(7): 189-199. doi: 10.12461/PKU.DXHX202405182
10. [10]
  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. University Chemistry, 2025, 40(9): 34-42. doi: 10.12461/PKU.DXHX202412002
11. [11]
  Huixin Dong , Zhenlei Zhou , Wenxin Zou , Juan Jin , Xiguang Liu , Yuzhong Niu , Lili Zhu , Hua Jiang . Exploration and Practice of Ideological and Political Education in Inorganic Chemistry Courses with the Assistance of Artificial Intelligence. University Chemistry, 2026, 41(3): 254-261. doi: 10.12461/PKU.DXHX202505003
12. [12]
  Jizhu Zhou , Xiao Wei , Kaixue Wang . Deep Integration of Artificial Intelligence and Chemical Research: Applying the Fourth Paradigm and Evolving the Role of Chemists. University Chemistry, 2025, 40(12): 119-125. doi: 10.12461/PKU.DXHX202509003
13. [13]
  Qifeng Zheng , Aimei Gao , Ruirui Zhao . Exploring a New Undergraduate Training Model for Chemistry Majors through “Science-Education-Innovation Integration” in the AI Era. University Chemistry, 2026, 41(2): 161-167. doi: 10.12461/PKU.DXHX202502056
14. [14]
  Liangjun Chen , Yu Zhang , Zhicheng Zhang , Yongwu Peng . AI-Empowering Reform in University Chemistry Education: Practical Exploration of Cultivating Informationization and Intelligent Literacy. University Chemistry, 2025, 40(9): 220-227. doi: 10.12461/PKU.DXHX202503124
15. [15]
  Yu Fang . AI-Empowered Education: A Case Study of Self-Directed Learning with ChatGPT-4. University Chemistry, 2025, 40(9): 1-4. doi: 10.12461/PKU.DXHX202502013
16. [16]
  Ping Li , Chao Yin . Teaching Exploration and Practical Innovation of General Education Courses in the Context of Artificial Intelligence. University Chemistry, 2024, 39(10): 402-407. doi: 10.12461/PKU.DXHX202403075
17. [17]
  Bing Sun . Practice of Ideological and Political Education in Physical Chemistry Courses for Non-Chemistry Majors. University Chemistry, 2024, 39(8): 28-35. doi: 10.3866/PKU.DXHX202311080
18. [18]
  Xu Liu , Chengfang Liu , Jie Huang , Xiangchun Li , Wenyong Lai . Research on the Application of Diversified Teaching Models in the Teaching of Physical Chemistry. University Chemistry, 2024, 39(8): 112-118. doi: 10.3866/PKU.DXHX202402021
19. [19]
  Rong Zhang , Yufang Pan , Sanlai Luo , Dan Wang . Exploration and Practice of Teaching Reform in Physical Chemistry for Pharmacy Majors. University Chemistry, 2025, 40(4): 166-173. doi: 10.12461/PKU.DXHX202406101
20. [20]
  Liping Guo , Hongmei Wang , Li Song , Mengli Li , Haiyang Guo . Reform and Practice of Exercise Lecture in Physical Chemistry Based on the Project-Driven Learning. University Chemistry, 2025, 40(7): 62-70. doi: 10.12461/PKU.DXHX202409102

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