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Construction and practice of "Pharmaceutical Analysis" AI curriculum based on knowledge map

Published on Sep. 30, 2026Total Views: 663 times Total Downloads: 219 times Download Mobile

Author: LIU Zheng 1, 2 DENG Tao 1, 2 YANG Bin 1, 2 ZHENG Zhaoguang 1, 2 LUO Wenhui 3 XU Dongsheng 4 SUN Pinghua 5 GUO Jialiang 1, 2, 4 ZENG Xuxin 1, 2

Affiliation: 1.Modern Industry College of Traditional Chinese Medicine, School of Medicine, Foshan University,Foshan528225,Guangdong Province,China 2.Foshan Pharmaceutical Association,Foshan528000,Guangdong Province,China 3.Guangdong Yifang Pharmaceutical Co. Ltd.,Foshan528244,Guangdong Province,China 4.College of Pharmacy, Jinan University,Guangzhou510632,China 5.School of Pharmacy, Shihezi University,Shihezi832003,Xinjiang Uygur Autonomous Region,China

Keywords: Pharmaceutical analysis Knowledge map Artificial intelligence Pharmacy Course construction

DOI: 10.12173/j.issn.1004-4337.202510016

Reference: Liu Z, Deng T, Yang B, et al. Construction and practice of “Pharmaceutical Analysis” AI curriculum based on knowledge map[J]. Journal of Mathematical Medicine, 2026, 39(9): 693-700. DOI: 10.12173/j.issn.1004-4337.202510016.[Article in Chinese]

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Abstract

Currently, artificial intelligence (AI) technology has emerged as a cutting-edge and hot technology in higher education, serving as a vital force in deepening the development and transformation of higher education. "Pharmaceutical analysis" is one of the professional courses in the field of pharmacy, mainly covering methods and techniques for drug quality control, and emphasizing the imparting of confirmatory technical knowledge. The "Pharmaceutical Analysis" teaching team in Foshan University aligning with the talent development objectives and the demands of the biomedical industry, has relied on the AI assistant function of the Superstar Learning Platform to construct a four-dimensional course knowledge map of "course objective layer, theoretical framework layer, practical operation layer, and teaching resource layer", and to initially establish an AI-driven "knowledge-competency-literacy" course knowledge map matrix dominated by ability map, led by ideological and political map, supported by knowledge map and problem map, and driven by AI teaching assistant, in order to achieve intelligent construction of the Pharmaceutical Analysis course resources. The construction of "Pharmaceutical Analysis" AI curriculum has yielded positive outcomes and significantly enhanced students' learning initiative and effectiveness, while providing a reference for the construction of other courses in the pharmacy major.

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References

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