Incorporation of ChatGPT and Other Large Language Models into a Graduate Level Computational Bioengineering Course
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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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In a graduate-level computational bioengineering course at Vanderbilt University, instructors designed homework assignments to leverage LLM capabilities while fostering critical thinking, computational skills, and deeper understanding of numerical and statistical methods.
“In a graduate-level computational bioengineering course at Vanderbilt University, the instructors designed innovative homework assignments to leverage LLM capabilities while fostering critical thinking, computational skills, and a deeper understanding of numerical and statistical methods.”
From Integrating Generative Artificial Intelligence Tools and Competencies in Biomedical Engineering Education (2025) · cites this paper as [36]
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Experimental — accuracy not yet measuredIn a graduate-level computational bioengineering course, students were provided with ground rules for using generative AI.
“In a graduate-level computational bioengineering course, which required students to interact with ChatGPT for course assignments, students were provided with “ground rules” for using GenAI.”
From Integrating Generative Artificial Intelligence Tools and Competencies in Biomedical Engineering Education (2025) · cites this paper as King et al., 2024
In a graduate-level computational bioengineering course, students were provided with ground rules for using generative AI.
“In a graduate-level computational bioengineering course, which required students to interact with ChatGPT for course assignments, students were provided with “ground rules” for using GenAI.”
From Integrating Generative Artificial Intelligence Tools and Competencies in Biomedical Engineering Education (2025) · cites this paper as [36]
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References 9 · Cited by 7
- Authors
- King, M. R., Abdulrahman, A. M., Petrovic, M. I., Poley, P. L., Hall, S. P., Kulapatana, S., & Lamantia, Z. E.
- Affiliations
- Vanderbilt University (US)
- Siriraj Hospital (TH)
- Corresponding author
- King, Michael R.
- Venue
- Cellular and Molecular Bioengineering
- Published
- 2024-02
- Volume
- 17
- Issue
- 1
- Pages
- 1-6
- ISSN
- 1865-5025 (ISSN-L)
- 1865-5033
- PMC
- PMC10902225
- OpenAlex
- W4391617373
- Cited by
- 7
- References
- 9
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 2
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cellular and Molecular Bioengineering (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Keywords
- ChatGPT, large language models, generative AI in education, graduate engineering curriculum, numerical methods course, AI-assisted learning
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