Gauging the Capability of Artificial Intelligence Chatbot Tools to Answer Textbook Coursework Exercises in Circuit Design Education

Powerful chatbots, based on intensively-trained large language models, have recently become available for consumer use. The ability of such chatbots to provide credible textual responses to sophisticated engineering problems has been demonstrated in various subfields. This paper seeks to gauge the extent to which such a chatbot can be prompted to complete a set of homework and project exercises for university-level courses in analog, digital, mixed -signal, and signal processing classes. The purpose of this paper is to delineate and clearly articulate the present capabilities of artificial intelligence tools to complete coursework taks across the field of circuit theory. Building on these research findings, this paper suggests practical ways to mitigate artifical intelligence chatbot tools' disription to academic integrity and genuine learning in universities.

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Published
2024-11-06
DOI
https://doi.org/10.1109/ithet61869.2024.10837600
Primary Topic
Engineering Education and Technology
Type
article
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article

Gauging the Capability of Artificial Intelligence Chatbot Tools to Answer Textbook Coursework Exercises in Circuit Design Education

John Healy, Paul Cuffe, Jan Przybyszewski, Teerachot Siriburanon et al.
Engineering Education and Technology
article

Gauging the Capability of Artificial Intelligence Chatbot Tools to Answer Textbook Coursework Exercises in Circuit Design Education

John Healy, Paul Cuffe, Jan Przybyszewski, Teerachot Siriburanon, Yevhenii Mormul
article en

Abstract

Powerful chatbots, based on intensively-trained large language models, have recently become available for consumer use. The ability of such chatbots to provide credible textual responses to sophisticated engineering problems has been demonstrated in various subfields. This paper seeks to gauge the extent to which such a chatbot can be prompted to complete a set of homework and project exercises for university-level courses in analog, digital, mixed -signal, and signal processing classes. The purpose of this paper is to delineate and clearly articulate the present capabilities of artificial intelligence tools to complete coursework taks across the field of circuit theory. Building on these research findings, this paper suggests practical ways to mitigate artifical intelligence chatbot tools' disription to academic integrity and genuine learning in universities.

University College Dublin (IE)
Quality Education
Openalex Percentile: Top 59%
Engineering Education and Technology
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Gauging the Capability of Artificial Intelligence Chatbot Tools to Answer Textbook Coursework Exercises in Circuit Design Education — John Healy, Paul Cuffe, et al. · (2024) | TGRS Research Map | TGRS