Evaluating LLM Generative A.I. Responses to Engineering Design Questions

Students will utilize different Large Language Model Generative A.I. Software to ask an Engineering Design Question relevant to their Sr. Design Project. The students will then assess the A.I. responses on usability, relevance, & accuracy. Finally, the students will reflect on the results of the assessments and their thoughts on LLM Generative A.I. This is an In Class Discussion assignment intended to build off of previous lectures on Information/Digital Literacy, Assessment of Sources, Large Language Model Generative A.I., and Prompt Engineering.

Publication Details

Journal
UND Scholarly Commons (University of North Dakota)
Published
2024-09-16
Primary Topic
Wikis in Education and Collaboration
Type
article
Field-Weighted Citation Impact
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article

Evaluating LLM Generative A.I. Responses to Engineering Design Questions

UND Scholarly Commons (University of North Dakota)
Wikis in Education and Collaboration
article

Evaluating LLM Generative A.I. Responses to Engineering Design Questions

article en

Abstract

Students will utilize different Large Language Model Generative A.I. Software to ask an Engineering Design Question relevant to their Sr. Design Project. The students will then assess the A.I. responses on usability, relevance, & accuracy. Finally, the students will reflect on the results of the assessments and their thoughts on LLM Generative A.I. This is an In Class Discussion assignment intended to build off of previous lectures on Information/Digital Literacy, Assessment of Sources, Large Language Model Generative A.I., and Prompt Engineering.

UND Scholarly Commons (University of North Dakota)
Quality Education
Openalex Percentile: Top 39%
Wikis in Education and Collaboration
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Evaluating LLM Generative A.I. Responses to Engineering Design Questions · UND Scholarly Commons (University of North Dakota) (2024) | TGRS Research Map | TGRS