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

被引:4
|
作者
King, Michael R. [1 ]
Abdulrahman, Adam M. [1 ,2 ]
Petrovic, Mark I. [1 ,2 ]
Poley, Patricia L. [1 ]
Hall, Sarah P. [1 ]
Kulapatana, Surat [1 ,3 ]
Lamantia, Zachary E. [1 ]
机构
[1] Vanderbilt Univ, Dept Biomed Engn, Nashville, TN 37235 USA
[2] Vanderbilt Univ, Sch Med, Med Scientist Training Program, Nashville, TN USA
[3] Mahidol Univ, Siriraj Hosp, Dept Physiol, Fac Med, Bangkok 10700, Thailand
关键词
Large language model; ChatGPT; Bard; Higher education; MATLAB;
D O I
10.1007/s12195-024-00793-3
中图分类号
Q813 [细胞工程];
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.
引用
收藏
页码:1 / 6
页数:6
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