Artificial intelligence (ai)-aided collaborative design in industrial design education for final year projects (fyp). AI transforms industrial design education. Discover how AI-aided tools boost creativity & efficiency in final year projects, while managing ethical concerns and over-reliance.
The integration of Artificial Intelligence (AI) into design education is transforming collaborative learning and creative practice, particularly in Industrial Design. A theoretical framework was developed through the literature review to guide this study, which investigates how AI-assisted tools influence creativity, collaboration, and workflow efficiency in Final Year Projects (FYPs) among 38 Industrial Design students at a Malaysian university. Employing a mixed-methods design, two classes participated in a quasi-experimental comparison: one integrated AI tools throughout the design process, while the other used traditional methods. Students applied AI tools across five project phases: research (Notion AI, Elicit), ideation (DALL·E, MidJourney), design simulation (Fusion 360 AI, Rhino AI), reporting (ChatGPT, Grammarly), and prototyping (generative design tools). Quantitative data from project rubric scores and supervisor evaluations were complemented by qualitative insights from reflective journals and focus group discussions. Results showed that the AI-assisted class achieved higher creativity and design quality, supported by enhanced efficiency and faster iteration. However, students also reported challenges related to over-reliance on AI, ethical concerns about authorship, and reduced hands-on engagement. The study concludes that AI can serve as a valuable cognitive and creative partner in design education when integrated within a reflective and human-centered pedagogical framework that maintains critical thinking, originality, and ethical responsibility.
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By Sciaria
By Sciaria
By Sciaria
By Sciaria
By Sciaria
By Sciaria