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Design thinking and computational thinking: a dual process model for addressing design problems

Nick Kelly, John S. Gero

2021Design Science71 citationsDOIOpen Access PDF

Abstract

Abstract This paper proposes a relationship between design thinking and computational thinking. It describes design thinking and computational thinking as two prominent ways of understanding how people address design problems. It suggests that, currently, each of design thinking and computational thinking is defined and theorized in isolation from the other. A two-dimensional ontological space of the ways that people think in addressing problems is proposed, based on the orientation of the thinker towards problem and solution generality/specificity. Placement of design thinking and computational thinking within this space and discussion of their relationship leads to the suggestion of a dual process model for addressing design problems. It suggests that, in this model, design thinking and computational thinking are processes that are ontological mirror images of each other, and are the two processes by which thinkers address problems. Thinkers can move fluently between the two. The paper makes a contribution towards the theoretical foundations of design thinking and proposes questions about how design thinking and computational thinking might be both investigated and taught as constituent parts of a dual process.

Topics & Concepts

Computational thinkingCritical systems thinkingParallel thinkingDesign thinkingGeneralityVertical thinkingLateral thinkingThinking processesProcess (computing)Computer scienceSystems thinkingSpace (punctuation)Dual (grammatical number)Isolation (microbiology)Divergent thinkingConvergent thinkingCritical thinkingManagement scienceMathematics educationPsychologyArtificial intelligenceHuman–computer interactionCreative thinkingCreativityEngineeringStatistical thinkingSocial psychologyMicrobiologyOperating systemLiteraturePsychotherapistBiologyArtDesign Education and PracticeCreativity in Education and NeuroscienceInnovative Human-Technology Interaction