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Teaching parametric design: fostering algorithmic thinking through incomplete recipes
Umeå University, Faculty of Science and Technology, Umeå School of Architecture.ORCID iD: 0000-0003-1765-1259
2024 (English)In: Open House International, ISSN 0168-2601, Vol. 49, no 4, p. 736-751Article in journal (Refereed) Published
Abstract [en]

Purpose: Algorithmic and computational thinking are necessary skills for designers in an increasingly digital world. Parametric design, a method to construct designs based on algorithmic logic and rules, has become widely used in architecture practice and incorporated in the curricula of architecture schools. However, there are few studies proposing strategies for teaching parametric design into architecture students, tackling software literacy while promoting the development of algorithmic thinking.

Design/methodology/approach: A descriptive study and a prescriptive study are conducted. The descriptive study reviews the literature on parametric design education. The prescriptive study is centered on proposing the incomplete recipe as instructional material and a new approach to teaching parametric design.

Findings: The literature on parametric design education has mostly focused on curricular discussions, descriptions of case studies or studio-long approaches; day-to-day instructional methods, however, are rarely discussed. A pedagogical strategy to teach parametric design is introduced: the incomplete recipe. The instructional method proposed provides students with incomplete recipes for parametric scripts that are increasingly pared down as the students become expert users.

Originality/value: The article contributes to the existing literature by proposing the incomplete recipe as a strategy for teaching parametric design. The recipe as a pedagogical tool provides a means for both software skill acquisition and the development of algorithmic thinking.

Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2024. Vol. 49, no 4, p. 736-751
Keywords [en]
s Parametric design education, Parametric design, Digital design education, Architecture education, Design pedagogy, Algorithmic thinking
National Category
Architectural Engineering
Research subject
architecture
Identifiers
URN: urn:nbn:se:umu:diva-217942DOI: 10.1108/ohi-06-2023-0135ISI: 001118945400001Scopus ID: 2-s2.0-85179352103OAI: oai:DiVA.org:umu-217942DiVA, id: diva2:1819075
Available from: 2023-12-13 Created: 2023-12-13 Last updated: 2024-08-15Bibliographically approved

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Vazquez, Elena

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Citation style
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