Parametric Design Learning Strategies in the Context of Architectural Design Remote Teaching

Parametric Design Learning Strategies in the Context of Architectural Design Remote Teaching

Ponzio, Angélica Paiva; Gonzaga, Mario Guidoux; Vale, Marina Pires De Castro Aguiar; Bruscato, Underléa Miotto; Mog, William

Full Article:

This article aims to demonstrate how a theoretical-didactic model and its respective teaching strategies for algorithmic-parametric logic can act as potential elements of innovation in the architectural design process. Based on the theories of parametric design thinking by Oxman (2017) and the studies by Woodbury (2010) and Romcy (2017), such strategies are based on the principle that algorithmic logic can be understood, in certain circumstances, as a procedural framework and not just an instrumental one. It will also be discussed how the situation of remote learning in the face of the COVID-19 crisis brought about the use of virtual teaching tools as an increment of the learning process

This article aims to demonstrate how a theoretical-didactic model and its respective teaching strategies for algorithmic-parametric logic can act as potential elements of innovation in the architectural design process. Based on the theories of parametric design thinking by Oxman (2017) and the studies by Woodbury (2010) and Romcy (2017), such strategies are based on the principle that algorithmic logic can be understood, in certain circumstances, as a procedural framework and not just an instrumental one. It will also be discussed how the situation of remote learning in the face of the COVID-19 crisis brought about the use of virtual teaching tools as an increment of the learning process

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DOI: 10.5151/sigradi2021-189

Referências bibliográficas

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Como citar:

Ponzio, Angélica Paiva; Gonzaga, Mario Guidoux; Vale, Marina Pires De Castro Aguiar; Bruscato, Underléa Miotto; Mog, William; "Parametric Design Learning Strategies in the Context of Architectural Design Remote Teaching", p-1077-1088. In: XXV International Conference of the Iberoamerican Society of Digital Graphics. São Paulo: Blucher, 2021.
ISSN 23186968, DOI 10.5151/sigradi2021-189