Extended Abstract: Leveraging AI to Bridge the Gap between Aspiring Engineers and Effective Communicators
Document Type
Conference Proceeding
Publication Date
1-1-2024
Abstract
This extended abstract proposes using the capabilities of open-source large language models (LLMs) to assess rhetorical moves in the executive summaries delivered by students enrolled in a Mechanical Engineering Capstone Senior Design course at a North American public STEM university. Our brief discussion surrounds the national and institutional contextualization of a capstone course, the current state of affairs and drawbacks of the executive summary assessment method, using an LLM to overcome these drawbacks, its potential benefits, and future work.
Publication Title
IEEE International Professional Communication Conference
ISBN
[9798350384451]
Recommended Citation
Narendranath, A.,
Tewari, R.,
&
Johnson, J.
(2024).
Extended Abstract: Leveraging AI to Bridge the Gap between Aspiring Engineers and Effective Communicators.
IEEE International Professional Communication Conference, 67-68.
http://doi.org/10.1109/ProComm61427.2024.00019
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p2/1031