Parametric design has become increasingly significant in architecture due to its capability to optimize building performance and generate complex shapes computationally. Tools like Rhinoceros/Grasshopper play a crucial role in facilitating the creation and educational exploration of intricate geometries, making the design process and element connections explicit. This paper presents a pedagogical method focused on visual perception principles and understanding AI text-to-image prompt design. The approach aims to enhance students’ grasp of parametric design by linking geometrical operations with perception concepts. Furthermore, it addresses the integration of AI for image generation, emphasizing the need for a structured learning framework to ensure responsible and educational use of these tools.

Enhancing Parametric Design Education Through Rhinoceros/Grasshopper: Visual Perception Principles, Student Learning, and Future Integration with AI

G. stancato
2024-01-01

Abstract

Parametric design has become increasingly significant in architecture due to its capability to optimize building performance and generate complex shapes computationally. Tools like Rhinoceros/Grasshopper play a crucial role in facilitating the creation and educational exploration of intricate geometries, making the design process and element connections explicit. This paper presents a pedagogical method focused on visual perception principles and understanding AI text-to-image prompt design. The approach aims to enhance students’ grasp of parametric design by linking geometrical operations with perception concepts. Furthermore, it addresses the integration of AI for image generation, emphasizing the need for a structured learning framework to ensure responsible and educational use of these tools.
2024
Advances in Representation: New AI- and XR-Driven Transdisciplinarity
978-3-031-62962-4
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Descrizione: This paper focuses on the educational aspects of parametric design, presenting an overview of an educational experience and reflecting on four key aspects: the iterative process of geometric choices, the related visual perception principles, possible computer vision analysis, and future integration of artificial intelligence prompt design.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1274242
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