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International Journal of Transformative Teaching and Learning in Higher Education

ORCID

Wei Yin https://orcid.org/0000-0002-2853-0375

Submission Category

Practice-Based Article

Abstract

Generative AI tools are widely used by college students. This study aimed to investigate the best ways to teach students the limits of AI, especially in hands-on engineering classes. A class project in a sophomore biomedical engineering class was used to test the effectiveness of generative AI tools in supporting engineering CAD design and 3D modeling. Students were tasked with designing a finger basketball toy, creating 2D engineering drawings, and creating a physical prototype using 3D modeling and printing. Students used ChatGPT, Copilot, and Gemini to support the completion of the design project. Students’ manual work demonstrated satisfactory skills in engineering drawing and software use. AI solutions had multiple mistakes and were insufficient to fulfill the design requirements. Students reflected that building their own engineering skills was essential to effectively evaluate the accuracy of AI solutions and achieve their engineering learning outcomes.

License Information

This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License (CC BY-NC-ND 4.0).

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