Innovative Teaching Models for Traditional Chinese Medicine Pharmacology Guided by Artificial Intelligence in the Context of Building an Education Powerhouse

DOI: https://doi.org/10.62517/jnse.202517403

Author(s)

Lin Li1, Yuan He2, Yue Song1, Guanglei Chen3, Linqing Wang1,*

Affiliation(s)

1College of Life Sciences, Zhengzhou Normal University, Zhengzhou, Henan, China 2College of Tobacco Science and Engineering, Zhengzhou University of Light Industry, Zhengzhou, Henan, China 3Center for Teacher Education Skills Development, Zhengzhou Normal University, Zhengzhou, Henan, China *Corresponding Author

Abstract

The construction of an education powerhouse is fundamentally driven by digital transformation, with artificial intelligence (AI) emerging as a transformative force in reshaping pedagogical paradigms. Under China’s education modernization agenda, AI-enhanced specialized curricula are pivotal for fostering high-quality development. Anchored in the dual mission of moral education and talent cultivation, this study examines Traditional Chinese Medicine (TCM) Pharmacology within Henan Province’s TCM revitalization initiative, identifying three critical gaps: (1) curricular rigidity, where static content lags behind dynamic clinical practices; (2) inadequate AI-aided pharmacological skill training; and (3) misalignment with occupational competency standards. To address these, we propose an AI-driven pedagogical framework incorporating: (i) adaptive learning systems for personalized knowledge delivery via machine learning; (ii) virtual simulation labs for pharmacodynamic/pharmacokinetic experimentation; and (iii) competency-based assessments with AI-evaluated indicators. This study contributes actionable strategies to bridge traditional pedagogy and technological demands, offering a model for AI integration in specialized disciplines to support national education strategies.

Keywords

Building an Education Powerhouse; Artificial Intelligence; TCM Pharmacology; Teaching Models; Personalized Education

References

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