Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

September 16, 2024


Pages


DOI

Article

Exploring the reform of pharmacology curriculum based on ChatGPT

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Authors

Xing Zhang Affiliation:
School of Biology and Food Engineering, Fuyang Normal University, Fuyang, Anhui, PR China.
, Yiwen Gao Affiliation:
Zaozhuang sixteenth middle school, Zaozhuang, Zaozhuang, Shandong, PR China.
, Yulin Shao Affiliation:
School of Biology and Food Engineering, Fuyang Normal University, Fuyang, Anhui, PR China.
, Jian Wang Affiliation:
The Second People’s Hospital of Fuyang City, Fuyang, Anhui, PR China.
, Yirong Li Affiliation:
The Second School of Clinical Medicine, Anhui Medical University, Hefei, Anhui, PR China.
, Shanshan Li Affiliation:
Fuyang Medical School, Fuyang Normal University, Fuyang, Anhui, PR China.
and Mingfeng Han Affiliation:
The Second People’s Hospital of Fuyang City, Fuyang, Anhui, PR China.


Abstract

The emergence of ChatGPT (Chat Generative Pre-trained Transformer) has created new opportunities and challenges in the field of education. This paper explores the usage of ChatGPT to improve learning efficiency, teaching effectiveness, and educational efficiency in pharmacology instruction. The study evaluated the usage of ChatGPT across three stages of pharmacology coursework: pre-class preparation, post-class extension, and evaluation, through comparison with conventional settings in these stages. Generative artificial intelligence can be used as a virtual teaching assistant and learning aid. It can be used to transform learning styles across the above three stages to focus on cultivating critical and creative thinking in students. ChatGPT can play a leading role in teaching, and help better balance the relationship between education and artificial intelligence. However, we need to clarify the status of ChatGPT as a tool and prevent over-reliance on it.


Keywords

ChatGPT, Artificial Intelligence, Pharmacology, 92-01


Citation

Zhang, X., Gao, Y., Shao, Y., Wang, J., Li, Y., Li, S., & Han, M. (2024). Exploring the reform of pharmacology curriculum based on chatgpt. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-2636
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