Citation: 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. doi: 10.12461/PKU.DXHX202408132 shu

Exploring the Application of Artificial Intelligence in University Chemistry Laboratory Instruction

College of Science, National University of Defense Technology, Changsha 410073, China

Corresponding author: Cheng-an Tao, taochengan@nudt.edu.cn
Received Date: 30 August 2024
Accepted Date: 4 November 2024

In recent years, the application of artificial intelligence (AI) in education has garnered increasing attention. This paper analyzes the distinctive characteristics of university chemistry experiments, including their comprehensiveness and systematization, exploratory and innovative nature, focus on safety and standardization, as well as their foundational and challenging aspects. It reviews the current state of AI integration in chemistry laboratory teaching, highlighting developments in intelligent teaching assistant systems, smart learning platforms, and virtual reality applications. However, AI is still rarely employed in the core aspect of chemistry laboratory — the teaching of experimental operations. The paper also explores the potential future of AI in university chemistry education, identifying key development needs, such as understanding symbolic systems, capturing action details, enhancing comprehensive support capabilities, and ensuring laboratory safety. Finally, it provides an outlook on the evolving role of AI in enhancing university chemistry laboratory teaching.
- Artificial intelligence,
- Chemistry laboratory,
- Experimental operation,
- Application
1. [1]
2. [2]
  Investigating the Uses and Impacts of Generative Artificial Intelligence in Chemistry Education. [2024-10-07] https://pubs.acs.org/page/jceda8/vi/genai2024
3. [3]
4. [4]
5. [5]
6. [6]
7. [7]
8. [8]
9. [9]
10. [10]
11. [11]
12. [12]
  Jakobsche, C. E.; Kongsomjit, P.; Milson, C.; Wang, W.; Ngan, C. J. Chem. Educ. 2023, 100 (8), 3081.
13. [13]
  Roski, M.; Ewerth, R.; Hoppe, A.; Nehring, A. J. Chem. Educ. 2024, 101 (3), 930.
14. [14]
  ZhaoJoseph, A. Y.; Floyd, C. B.; Tan, X.; Lawrence, D. S. J. Chem. Educ. 2023, 100 (6), 2320.
15. [15]
  Zhao, R.; Chu, Q.; Chen, D. J. Chem. Educ. 2022, 99 (4), 1635.
16. [16]
  Davenport, J. L.; Rafferty, A. N.; Yaron, D. J. J. Chem. Educ. 2018, 95 (8), 1250.
17. [17]
18. [18]
1. [1]
  Lei Qin , Kai Guo . Application of Generative Artificial Intelligence in the Simulation of Acid-Base Titration Images. University Chemistry, 2025, 40(9): 11-18. doi: 10.12461/PKU.DXHX202408123
2. [2]
  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
3. [3]
  Yuejiao Wang , Quanxing Mao , Junshuo Cui , Xiaogeng Feng , Xiaohong Chang , Zhenning Lou , Ying Xiong . 颜色识别式人工智能融入混合碱滴定实验的应用. University Chemistry, 2026, 41(1): 107-113. doi: 10.12461/PKU.DXHX202506020
4. [4]
  Meirong Cui , Mo Xie , Jie Chao . Design and Reflections on the Integration of Artificial Intelligence in Physical Chemistry Laboratory Courses. University Chemistry, 2025, 40(5): 291-300. doi: 10.12461/PKU.DXHX202412015
5. [5]
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6. [6]
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7. [7]
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8. [8]
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9. [9]
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10. [10]
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11. [11]
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12. [12]
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13. [13]
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14. [14]
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15. [15]
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16. [16]
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17. [17]
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18. [18]
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19. [19]
  Yongmei Liu , Shuyong Zhang , Shuangyan Huan , Genrong Qiang , Xia Zhang , Huan Jiao , Jiangang Li , Zhanxiang Liu , Qizhi Yao , Hongxia Fan . Recommendations for Integrating Ideological and Political Education into Chemistry Laboratory Courses for Chemistry Majors at Higher Education Institutions. University Chemistry, 2025, 40(5): 189-205. doi: 10.12461/PKU.DXHX202412145
20. [20]
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