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Abstract
Computational design has reshaped architectural education over the past five decades, yet its current trajectory reveals a conceptual drift. Early experiments, from the spatial analytics of Warntz (1965) to Negroponte’s vision of the Architecture Machine (1970), treated computation as a means to model complexity and support human-environment interaction. These initiatives engaged systems thinking, anticipating today’s imperative for adaptive, ethical, and context-responsive design approaches (Bertalanffy 1969; Meadows 2008).
This paper argues that the pedagogical crisis facing computational design is not primarily technological but epistemological. While recent curricula emphasize scripting, automation, and parametric formalism, they often neglect deeper questions of agency, scale, and systems integration (Cantrell and Mekies 2018). Drawing from both archival analysis and contemporary teaching experiments, the paper traces a shift from cybernetic and ecological paradigms toward reductive tool-based training, and calls for a renewed synthesis that reconnects design methods with critical thinking and spatial reasoning.
Landscape architecture’s legacy of geospatial layering and dynamic modeling (McHarg 1971) offers valuable but underutilized strategies for architecture education. Reintegrating these with computational tools can open pathways for design to operate as a reflexive system, capable of engaging climate, society, and technology not as abstract data points but as co-evolving conditions.
This contribution outlines a framework for rethinking computational pedagogy as a field of synthesis. It advocates for education that prepares architects to shape the future through systems awareness, rather than just operate within existing ones.
Bertalanffy, Ludwig von. General System Theory: Foundations, Development, Applications. New York: G. Braziller, 1969.
Cantrell, Bradley, and Adam Mekies. Codify: Parametric and Computational Design in Landscape Architecture. London: Routledge, 2018.
McHarg, Ian L. Design with Nature. Garden City, NY: Doubleday, 1971. Meadows, Donella H. Thinking in Systems: A Primer. Edited by Diana Wright. White River Junction, VT: Chelsea Green Publishing, 2008.
Negroponte, Nicholas. The Architecture Machine: Toward a More Human Environment. Cambridge, MA: MIT Press, 1970.
Warntz, William. Macrogeography and Income Fronts. Philadelphia: Regional Science Research Institute, 1965.
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