Incorporation of ChatGPT and Other Large Language Models into a Graduate Level Computational Bioengineering Course
Issued Date
2024-01-01
Resource Type
ISSN
18655025
eISSN
18655033
Scopus ID
2-s2.0-85184166106
Journal Title
Cellular and Molecular Bioengineering
Rights Holder(s)
SCOPUS
Bibliographic Citation
Cellular and Molecular Bioengineering (2024)
Suggested Citation
King M.R., Abdulrahman A.M., Petrovic M.I., Poley P.L., Hall S.P., Kulapatana S., Lamantia Z.E. Incorporation of ChatGPT and Other Large Language Models into a Graduate Level Computational Bioengineering Course. Cellular and Molecular Bioengineering (2024). doi:10.1007/s12195-024-00793-3 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/97198
Title
Incorporation of ChatGPT and Other Large Language Models into a Graduate Level Computational Bioengineering Course
Corresponding Author(s)
Other Contributor(s)
Abstract
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.