Perspectives on Incorporating a Large Language Model into a Cellular and Molecular Bioengineering Graduate Course
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Rubenstein and Kim (2024) integrated ChatGPT into a graduate cellular and molecular bioengineering course where students solved complex problems, critiqued AI solutions, and incorporated AI insights into exams.
“In Case 3.4.2,Rubenstein & Kim (2024) [53] integrated ChatGPT into a graduate cellular and molecular bioengineering course, where students solved complex problems, critiqued AI solutions, and incorporated AI insights into exams.”
From Integrating Generative Artificial Intelligence Tools and Competencies in Biomedical Engineering Education (2025) · cites this paper as [53]
Students explored creative prompts with ChatGPT, such as converting complex cellular and molecular bioengineering concepts into emojis, poems, and "pirate" talk.
“Additionally, students explored creative prompts with ChatGPT, such as converting complex cellular and molecular bioengineering concepts into emojis, poems, and even “pirate” talk.”
From Integrating Generative Artificial Intelligence Tools and Competencies in Biomedical Engineering Education (2025) · cites this paper as [53]
Rubenstein and Kim (2024) integrated ChatGPT into a graduate cellular and molecular bioengineering course where students solved complex problems, critiqued AI solutions, and incorporated AI insights into exams.
“In Case 3.4.2,Rubenstein & Kim (2024) [53] integrated ChatGPT into a graduate cellular and molecular bioengineering course, where students solved complex problems, critiqued AI solutions, and incorporated AI insights into exams.”
From Integrating Generative Artificial Intelligence Tools and Competencies in Biomedical Engineering Education (2025) · cites this paper as Rubenstein & Kim (2024)
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Cites
Bond, M., Buntins, K., Bedenlier, S., Zawacki-Richter, O., & Kerres, M. (2020) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-019-0176-8 · Cited by 1,097 · cited 1× · see citing works
“Further, use of emerging technology has been shown to increase student engagement [1].”
Imran, M., & Almusharraf, N. (2023) · Contemporary Educational Technology · doi:10.30935/cedtech/13605 · Cited by 421 · see citing works
Do students experience transformation through co-creating curriculum in higher education?
Lubicz-Nawrocka, T., & Bovill, C. (2021) · Teaching in Higher Education · doi:10.1080/13562517.2021.1928060 · Cited by 106 · see citing works
Inclusive Teaching: Strategies for Promoting Equity in the College Classroom
Boon, L. M. (2023) · Journal of Teaching and Learning · doi:10.22329/jtl.v17i1.7467 · Cited by 61 · see citing works
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Khojah, R., Werth, A., Broadhead, K. W., Dobrucki, L. W., Geiger, C., & Rubenstein, D. A. (2025) · Biomedical Engineering Education · doi:10.1007/s43683-025-00175-9 · Cited by 9 · see citing works
Self-citation
- Authors
- Rubenstein, D. A., & Kim, C.
- Affiliations
- Stony Brook University (US)
- Corresponding author
- Rubenstein, David A.
- ORCID
- Rubenstein, David A.
- Venue
- Cellular and Molecular Bioengineering
- Published
- 2024-04
- Volume
- 17
- Issue
- 2
- Pages
- 83-86
- ISSN
- 1865-5025 (ISSN-L)
- 1865-5033
- PMC
- PMC11082109
- OpenAlex
- W4394932783
- Cited by
- 2
- References
- 4
- Citations by year
- 2025: 1 · 2024: 1
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Cellular and Molecular Bioengineering (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Social Sciences › Safety Research › Academic integrity and plagiarism
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- large language models, ChatGPT, higher education, bioengineering education, graduate course design, academic integrity, LLM-generated content, student engagement, faculty assessment
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