Document Type

Conference Paper

Publication Date

2026

DOI

10.18260/1-2--58907

Publication Title

2026 ASEE Annual Conference & Exposition

Pages

9 pp.

Conference Name

2026 ASEE Annual Conference & Exposition, June 21-24, 2026, Charlotte, North Carolina

Abstract

Artificial Intelligence (AI) is transforming education, particularly for electrical engineering technology (EET) students, by presenting adaptive learning, immediate responses, and unconventional tools. Therefore, this paper proposes investigating modern learning to employ AI in educating future electrical engineering technology students. Firstly, the paper explores how to shape AI knowledge for EET students, supplying them with hands-on skills in AI tasks, clarifying coding, data analysis, and AI ethical usage. Then, as educators, what are the efficient AI tools to utilize in teaching, such as tailored tutoring, automated code assessment, AI-driven design/simulation, lecture dictation, and smart content creation? Key tools, for instance, Google Gemini, GitHub Copilot, and Wolfram Alpha, offer personalized support for multifaceted topics and project advancement. Second, a key discussion of the benefits of AI in education includes equipping students with future-ready skills, nurturing innovation, providing personalized aid, enabling quicker prototyping, improving educational proficiency, enhancing problem-solving capabilities, training for future jobs to build a diverse workforce, and reinforcing national competitiveness. Then, this discussion is extended to include AI challenges regarding precision, ethics, availability, and data confidentiality. Finally, a well-prepared, measurable, short survey and analysis are supplied to investigate students’ opinions and thoughts regarding how they can utilize AI to prepare them for future careers, as an essential learning assistant, help in coding, aid in design, research roadmaps, and overcome challenges in an ethical way.

Rights

© 2026 American Society for Engineering Education.

ASEE holds the copyright on this document. It may be read by the public free of charge. Authors may archive their work on personal websites or in institutional repositories with the following citation: © 2026 American Society for Engineering Education. Other scholars may excerpt or quote from these materials with the same citation. When excerpting or quoting from Conference Proceedings, authors should, in addition to noting the ASEE copyright, list all the original authors and their institutions and name the host city of the conference.

Original Publication Citation

El-Shahat, A., Kuzlu, M., Jovanovic, V. M., Smith, K., Al Mamun, A., & Popescu, O. (2026). Artificial intelligence (AI) in educating next generation of engineering technology students [Conference paper]. 2026 ASEE Annual Conference & Exposition, Charlotte, North Carolina. https://doi.org/10.18260/1-2--58907

ORCID

0000-0003-0148-5014 (El-Shahat), 0000-0002-8719-2353 (Kuzlu), 0000-0002-8626-903X (Jovanovic), 0000-0002-5026-4501 (Smith), 0000-0002-5975-6529 (Popescu)

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