"AI in Engineering Curricula: Adoption, Challenges, and Ethical Considerations Among Engineering Students"

As Artificial Intelligence (AI) continues to transform the engineering setting, its integration into engineering education emerges as a critical element in equipping future engineers.This paper presents a survey study aimed at evaluating the adoption and impact of AI tools and methodologies within engineering curricula among engineering students at the University of New Haven.It investigates engineering students' perceptions regarding the role of AI in their education, the challenges encountered with its integration, and the ethical concerns related to AI applications in engineering.Utilizing questionnaires, this study collects data from a diverse cohort of engineering students, aiming to uncover shortcomings in current educational methods and to suggest improvements.The findings are expected to contribute to the ongoing discussion on enhancing engineering education, ensuring students are well-prepared with essential AI skills and ethical insight for their professional careers.

Authors

Publication Details

Published
2025-04-29
DOI
https://doi.org/10.18260/1-2-1127.1139-54997
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

"AI in Engineering Curricula: Adoption, Challenges, and Ethical Considerations Among Engineering Students"

Reihaneh Samsami, Seyedeh Elham Kamali
Artificial Intelligence in Healthcare and Education
article

"AI in Engineering Curricula: Adoption, Challenges, and Ethical Considerations Among Engineering Students"

Reihaneh Samsami, Seyedeh Elham Kamali
article en

Abstract

As Artificial Intelligence (AI) continues to transform the engineering setting, its integration into engineering education emerges as a critical element in equipping future engineers.This paper presents a survey study aimed at evaluating the adoption and impact of AI tools and methodologies within engineering curricula among engineering students at the University of New Haven.It investigates engineering students' perceptions regarding the role of AI in their education, the challenges encountered with its integration, and the ethical concerns related to AI applications in engineering.Utilizing questionnaires, this study collects data from a diverse cohort of engineering students, aiming to uncover shortcomings in current educational methods and to suggest improvements.The findings are expected to contribute to the ongoing discussion on enhancing engineering education, ensuring students are well-prepared with essential AI skills and ethical insight for their professional careers.

Quality Education
Openalex Percentile: Top 94%
Artificial Intelligence in Healthcare and Education
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