Architecture Students and AI: Exploring Applications and Perceptions in the Class
Estudiantes de arquitectura e IA: Explorando aplicaciones y percepciones en clase
DOI:
https://doi.org/10.29105/contexto20.31-522Keywords:
AI in design education; Text-to-image tools; User-centered designAbstract
This study examines the perception of architecture students on text-to-image AI tools in architectural design, focusing on their impact on creativity, efficiency, and the design process. Conducted within a "Design Research Methods" course for third-year architecture students, the research explores how AI-assisted tools can complement traditional design methodologies, particularly in user-centered design projects. Students used AI technologies such as DALL-E and ChatGPT to create personas, mood boards, and customer journey maps, combining text-to-image and text generation capabilities to support various stages of the design process. Two surveys conducted during the course gauged students' familiarity with AI, their initial skepticism, and their evolving perspectives post-interaction with AI tools. Results indicate that students found AI tools beneficial in generating diverse design ideas, accelerating visualization, and enhancing ideation. Despite initial reservations, students recognized AI’s potential in optimizing the design process, although challenges in technical accuracy and prompt interpretation were noted. While this study talks about the pros and cons of using AI in design education, it also suggests ways that AI could be better integrated into user-centered approaches. Findings underscore AI's role in fostering a forward-thinking approach to design education, preparing students for the evolving demands of the architectural field.
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