Extended Abstract: Leveraging AI to Bridge the Gap Between Aspiring Engineers and Effective Communicators

Extended Abstract: Leveraging AI to Bridge the Gap Between Aspiring Engineers and Effective Communicators

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 disc...

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Bibliographic Details
Published in:2024 IEEE International Professional Communication Conference (ProComm) pp. 67 - 68
Main Authors: Narendranath, Aneet D., Tewari, Radheshyam, Johnson, Jaclyn E.
Format: Conference Proceeding
Language:English
Published: IEEE 14-07-2024
Subjects:
assessment
capstone
design
engineering
executive
Large language models
LLM
Mechanical engineering
move
North America
Professional communication
rhetorical
STEM
summary
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Summary: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.
ISSN:2158-1002
DOI:10.1109/ProComm61427.2024.00019