Incorporation of ChatGPT and Other Large Language Models into a Graduate Level Computational Bioengineering Course

被引:0
|
作者
Michael R. King
Adam M. Abdulrahman
Mark I. Petrovic
Patricia L. Poley
Sarah P. Hall
Surat Kulapatana
Zachary E. Lamantia
机构
[1] Vanderbilt University,Department of Biomedical Engineering
[2] Vanderbilt University School of Medicine,Medical Scientist Training Program
[3] Mahidol University,Department of Physiology, Faculty of Medicine Siriraj Hospital
来源
Cellular and Molecular Bioengineering | 2024年 / 17卷
关键词
Large language model; ChatGPT; Bard; Higher education; MATLAB;
D O I
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学科分类号
摘要
The remarkable capabilities of generative artificial intelligence and large language models (LLMs) such as ChatGPT have delighted users around the world. Educators have regarded these tools as either a cause for great concern, an opportunity to educate students on cutting-edge technology, or often some combination of the two. Throughout the Fall 2023 semester, we explored the use of ChatGPT (and Bard, among other LLMs) in a graduate level numerical and statistical methods course for PhD-level bioengineers. In this article we share examples of this ChatGPT content, our observations on what worked best in our course, and speculate on how bioengineering students may be best served by this technology in the future.
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页码:1 / 6
页数:5
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