Engineering students’ perspectives on how generative AI is reshaping engineering skills and education: a multi-institution qualitative study

Generative artificial intelligence is reshaping engineering practice and education, yet limited empirical evidence shows how engineering students anticipate its impact. This paper reports an inductive thematic analysis of semi-structured interviews with 48 engineering students across year levels at three Australian universities. Students described GenAI as an on-demand tutor and productivity aid, but cautioned that over-reliance may weaken critical thinking, independent problem-solving, and creativity. They anticipated a shift in the value of engineering work, with routine production tasks becoming easier to outsource while decision-making under constraints, communication, collaboration, and accountability become more central. Students emphasised GenAI literacy, including knowing when not to use GenAI and verification practices to address hallucinations and limited contextual understanding. They called for clearer guidance and assessment designs that prioritise reasoning and quality assurance over blanket bans.

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Publication Details

Journal
European Journal of Engineering Education
Published
2026-07-25
DOI
https://doi.org/10.1080/03043797.2026.2705883
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Engineering students’ perspectives on how generative AI is reshaping engineering skills and education: a multi-institution qualitative study

Anna Lidfors Lindqvist, Patcharin Chen, Zachery Quince
European Journal of Engineering Education
Artificial Intelligence in Healthcare and Education
article

Engineering students’ perspectives on how generative AI is reshaping engineering skills and education: a multi-institution qualitative study

Anna Lidfors Lindqvist, Patcharin Chen, Zachery Quince
article en

Abstract

Generative artificial intelligence is reshaping engineering practice and education, yet limited empirical evidence shows how engineering students anticipate its impact. This paper reports an inductive thematic analysis of semi-structured interviews with 48 engineering students across year levels at three Australian universities. Students described GenAI as an on-demand tutor and productivity aid, but cautioned that over-reliance may weaken critical thinking, independent problem-solving, and creativity. They anticipated a shift in the value of engineering work, with routine production tasks becoming easier to outsource while decision-making under constraints, communication, collaboration, and accountability become more central. Students emphasised GenAI literacy, including knowing when not to use GenAI and verification practices to address hallucinations and limited contextual understanding. They called for clearer guidance and assessment designs that prioritise reasoning and quality assurance over blanket bans.

European Journal of Engineering Education
University of Technology Sydney (AU), Division of Materials Science and Engineering (AU), Monash University (AU), Southern Cross University (AU)
Quality Education
Openalex Percentile: Top 12%
Artificial Intelligence in Healthcare and Education
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