CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

PDF papers
authors Kane, Andy and Szalapaj, Peter
year 1992
title Teaching Design By Analysis of Precedents
source CAAD Instruction: The New Teaching of an Architect? [eCAADe Conference Proceedings] Barcelona (Spain) 12-14 November 1992, pp. 477-496
summary Designers, using their intuitive understanding of the decomposition of particular design objects, whether in terms of structural, functional, or some other analytical framework, should be able to interact with computational environments such that the understanding they achieve in turn invokes changes or transformations to the spatial properties of design proposals. Decompositions and transformations of design precedents can be a very useful method of enabling design students to develop analytical strategies. The benefit of an analytical approach is that it can lead to a structured understanding of design precedents. This in turn allows students to develop their own insights and ideas which are central to the activity of designing. The creation of a 3-D library of user-defined models of precedents in a computational environment permits an under-exploited method of undertaking analysis, since by modelling design precedents through the construction of 3-D Computer-Aided Architectural Design (CAAD) models, and then analytically decomposing them in terms of relevant features, significant insights into the nature of designs can be achieved. Using CAAD systems in this way, therefore, runs counter to the more common approach of detailed modelling, rendering and animation; which produces realistic pictures that do not reflect the design thinking that went into their production. The significance of the analytical approach to design teaching is that it encourages students to represent design ideas, but not necessarily the final form of design objects. The analytical approach therefore, allows students to depict features and execute tasks that are meaningful with respect to design students' own knowledge of particular domains. Such computational interaction can also be useful in helping students explore the consequences of proposed actions in actual design contexts.
series eCAADe
full text file.pdf (205,233 bytes)
references Content-type: text/plain
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