Exploring the Performance of Generative AI Tools in Electrical Engineering Education
Zhaofeng Zhong, Chamith Wijenayake, Chamira U. S. Edussooriya · 2023
This paper explores the use cases and performance of generative artificial intelligence (AI) tools in the context of Electrical Engineering education. A summary of commonly used generative AI tools in Engineering education is provided along with a review of their use cases from recent literature. The performances of the generative AI tools GPT-3.5, GPT-4 and Google Bard are examined using custom-made question sets in two representative courses: Digital Logic Design and Digital Signal Processing. The paper highlights that GPT4 achieves over 50% accuracy in both courses and generative AI tools are more effective at solving standalone concept questions than analytical or numerical questions.