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Exploring the integration of generative design in STEM classrooms: student perceptions and learning experiences

Year: 2026
Type: article
Abstract: While K-12 schools are increasingly adopting Artificial Intelligence (AI)-powered learning environments to provide dynamic support and enhance student engagement, the integration of advanced AI applications in specific domains remains uneven. Generative design, an innovative approach in design and engineering that leverages AI and computational power to explore and generate multiple design solutions, has gained traction in the engineering design field. However, integrating generative design into the teaching and learning of engineering design remains a relatively unexplored area. This study introduces an instructional model guiding the integration of generative design into students’ engineering design processes. We validated this model through an AI-powered engineering design curriculum, which involved a total of 109 students from two suburban high schools in the Midwestern United States. Results revealed significant increases in students’ perceived engineering design knowledge, actual engineering design knowledge, and confidence in iterative design. Additionally, students acknowledged the benefits of generative design following their engagement with the curriculum. Nonetheless, concerns emerged regarding the ease of use and students’ comfort levels in utilizing generative design. This study presents implications for STEM research and practice, particularly regarding integrating generative design into K-12 classroom settings for engineering design processes. Furthermore, it offers insights for researchers aiming to optimize AI-powered learning environments.
DOI: 10.1007/s10798-026-10065-y
Language: English
Open Access status: hybrid
Estimated APC paid: $3,390
OpenAlex ID: W7135227787
FWCI:
Cites: 40
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