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

Creator(s)

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

Organisation(s)

University College Dublin

Discipline(s)

Engineering, Manufacturing and Construction

Topic(s)

Assessment & Feedback, Curriculum Design

License

CC BY-SA

Media Format

PDF, PDF document

Date Submitted

Submitted by

Export Resource Data

Description

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

Benefit of this resource and how to make the best use of it

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.

Creative Commons Attribution-ShareAlike (CC BY-SA)

This work is licensed under a CC BY-SA license, allowing adaptation and sharing with proper attribution, provided derivative works use the same license.

https://creativecommons.org/licenses/by-sa/4.0/
? This citation is automatically generated and may not be perfectly formatted. Always check and adjust it according to your required citation style.
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/

Adapted this resource? Share your version!

If you have modified or adopted this resource, share your version here. Tracking adaptations helps us measure impact and connects others with useful updates.

Related OER

This open course is designed to facilitate the development of your Artificial Intelligence (AI) literacy so that you can explore and innovate using Generative AI (GenAI) within your teaching, learning, and assessment practices.

In light of the potential opportunities and challenges of these technologies, this course will facilitate you in exploring the fundamentals of GenAI and AI Literacy, whilst focusing on an ethical practice. You will consider innovative ways in which you can respond to the challenges arising from the impact of these technologies in Higher Education.

Completion of this course will support you in developing a GenAI teaching strategy to apply to your own practice.

This short guide provides an overview of GenAI and a longer discussion of how assessments can be (re)designed to integrate or limit the use of GenAI by students. It includes examples from teaching practice at University College Cork.

We were both impressed and worried to witness the rapid escalation in the ability of tools like ChatGPT to conjure credible-seeming scholarly prose ex-nihilo. Rather than leaving the assessment strategy in MEEN3010 exposed to AI plagiarism, we decided to shift the focus towards a more authentic and interactive learning activity; a poster session.

Report an Issue

Name