Y. Mormul, J. Przybyszewski, T. Siriburanon, J. Healy and P. Cuffe, “Gauging the Capability of Artificial Intelligence Chatbot Tools to Answer Textbook Coursework Exercises in Circuit Design Education”, presented at IEEE International Conference on IT in Higher Education and Training, Paris, France, November 2024
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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 tasks across the field of circuit theory. Building on these research findings, this paper suggests practical ways to mitigate artificial intelligence chatbot tools’ description to academic integrity and genuine learning in universities.
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Przybyszewski, J., Healy, J., Cuffe, P., Siriburanon, T., & Mormul, Y. (2025). Gauging the capability of artificial intelligence chatbot tools to answer textbook coursework exercises in circuit design education. National Resource Hub (Ireland). Retrieved from: https://hub.teachingandlearning.ie/resource/gauging-the-capability-of-artificial-intelligence-chatbot-tools-to-answer-textbook-coursework-exercises-in-circuit-design-education/ License: Creative Commons Attribution-ShareAlike (CC BY-SA).
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