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SONG Jianfei, HE Qin, GAO Huiyuan, HUANG Zhuo, QI Jianping, FANG Yu, YAO Wenbing. Practical Challenges and Policy Recommendations for Developing AI-Empowered New-Form Textbooks in Higher Pharmaceutical Education[J]. Pharmaceutical Education, 2025, 41(5): 7-11.
Citation: SONG Jianfei, HE Qin, GAO Huiyuan, HUANG Zhuo, QI Jianping, FANG Yu, YAO Wenbing. Practical Challenges and Policy Recommendations for Developing AI-Empowered New-Form Textbooks in Higher Pharmaceutical Education[J]. Pharmaceutical Education, 2025, 41(5): 7-11.

Practical Challenges and Policy Recommendations for Developing AI-Empowered New-Form Textbooks in Higher Pharmaceutical Education

  • At present, core textbooks in higher pharmaceutical education are characterized by diversity, timeliness, limited universality, and the presence of distinct academic schools of thought.However, issues concerning scientific rigor, content presentation, translation of knowledge, and quality assurance have become increasingly prominent.Under the “101 Project” the development of new-form textbooks has become an urgent need.In the era of digital intelligence, higher pharmaceutical education must integrate digital resources with traditional print materials, develop intelligent agents for pharmaceutical disciplines, and produce a new generation of AI-empowered textbooks.Such efforts aim to cultivate strategic scientists, outstanding engineers, and skilled professionals committed to advancing the Healthy China initiative and leading future biomedical innovation.This paper proposes the following policy recommendations: first, integrate the intellectual and cultural spirit of classical scientific works into new teaching materials; second, leverage big data and artificial intelligence to empower the design and development of textbooks for the digital-intelligence era; and third, include the development and use of new-form textbooks as key evaluation indicators in higher education quality assessment systems.
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