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- Title
Perspectives on Incorporating a Large Language Model into a Cellular and Molecular Bioengineering Graduate Course.
- Authors
Rubenstein, David A.; Kim, Carsi
- Abstract
This article discusses the incorporation of large language models (LLMs), such as ChatGPT, into a cellular and molecular bioengineering graduate course. The debate surrounding the use of LLMs in higher education is explored, with some advocating for their integration to prepare students for future careers and increase engagement, while others express concerns about the reliability of LLM-generated content. The author describes their approach of incorporating LLMs into coursework and exams, allowing students to compare their own responses with those generated by the LLM and providing opportunities for critique. Student feedback suggests that this approach enhanced understanding, empowered learning, and fostered creativity. The article acknowledges limitations, such as the potential for plagiarism and the need for careful oversight and grading. Overall, the author believes that students appreciated this method and were enthusiastic about their instructor embracing new technologies.
- Subjects
LANGUAGE models; BIOENGINEERING; SCHOOL children; COLLEGE curriculum; CONCEPT mapping; SELF-efficacy in students; STUDENT attitudes
- Publication
Cellular & Molecular Bioengineering, 2024, Vol 17, Issue 2, p83
- ISSN
1865-5025
- Publication type
Article
- DOI
10.1007/s12195-024-00802-5