Artificial intelligence empowers pharmacological experimental teaching for overseas students: transformation and prospects

Xiulan Yang; Yang Yu

doi:10.63313/IJED.2002

Authors

Xiulan Yang Experimental Teaching Center, Medical Department, Yangtze University, Jingzhou, Hubei, 421003, China Author
Yang Yu Experimental Teaching Center, Medical Department, Yangtze University, Jingzhou, Hubei, 421003, China Author

DOI:

https://doi.org/10.63313/IJED.2002

Keywords:

Artificial Intelligence, International Student Education, Pharmacology Experimental Teaching, Teaching Reform

Abstract

Driven by the dual forces of educational informatization and internationalization of medical education, integrating artificial intelligence (AI) into pharmacological experimental teaching for international students has become a key path to enhance teaching quality and cultivate international medical talents. This article delves into the current challenges faced by pharmacological experimental teaching for international students, and elucidates the unique advantages and application strategies of AI in optimizing teaching resources, innovating teaching modes, and improving evaluation systems. The aim is to refine teaching strategies, enhance teaching quality, stimulate students' learning enthusiasm, and provide theoretical support and practical references for constructing an efficient and intelligent new paradigm of pharmacological experimental teaching.

References

[1] Liu Caibin, Li Siqi, Chen Yingli, et al. Applications and Practices of Artificial Intelligence in Teaching Innovation of Medical Immunology. Chinese Journal of Immunology, 2025, 41(6):1324–1327.

[2] Zhang Yuxiang, Wang Zhenyuan, Yan Chunxia. Artificial Intelligence Empowers Explora-tion of Teaching Practice in Forensic Pathology [J]. Basic Medical Education, 2024, 26(10): 871-874.

[3] Khan M A, Smith J, Lee S. AI-driven language support systems for international students in medical laboratory education[J]. Journal of Medical Education, 2023, 57(2): 143-156.

[4] Wang Yang, Zhao Li, Zhang Wei. Research on Cultural Adaptation Strategies in Pharmaco-logical Experiment Teaching for International Students [J]. Chinese Journal of Medical Ed-ucation Exploration, 2024, 23(5): 689–693.

[5] Brown E R, Wilson C, Miller T. Adaptive learning systems in pharmacology: Personalized pathways for international students[J]. Frontiers in Pharmacology, 2023, 14: 1024567.

[6] Li Jing, Wu Min, Liu Fang. Application Research of Artificial Intelligence in Medical Exper-imental Teaching Evaluation [J]. Laboratory Research and Exploration, 2025, 44(2): 215-219.

[7] Smith J D, Johnson L K. Ethical considerations in AI-enabled medical education: Data pri-vacy and cross-cultural equity[J]. Medical Education Online, 2024, 29(1): 2210345.

[8] Zhao Xing, Chen Ming, Yang Li. Integration Path of AI and Experimental Teaching in Blended Teaching Model. Pharmaceutical Education, 2024, 40(1): 45-49.