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

被引:24
作者
Kelly, Nick [1 ]
Gero, John S. [2 ]
机构
[1] Queensland Univ Technol, Brisbane, Qld, Australia
[2] Univ North Carolina Charlotte, Charlotte, NC USA
基金
美国国家科学基金会;
关键词
design thinking; computational thinking; design framing; dual process;
D O I
10.1017/dsj.2021.7
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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.
引用
收藏
页数:15
相关论文
共 48 条
  • [1] Alexander C., 1977, A Pattern Language: Towns, Buildings, Construction
  • [2] [Anonymous], 2010, REPORT WORKSHOP SCOP
  • [3] [Anonymous], 2010, Elements of parametric design
  • [4] Grounded cognition
    Barsalou, Lawrence W.
    [J]. ANNUAL REVIEW OF PSYCHOLOGY, 2008, 59 : 617 - 645
  • [5] To Frame or Reframe: Where Might Design Thinking Research Go Next?
    Beckman, Sara L.
    [J]. CALIFORNIA MANAGEMENT REVIEW, 2020, 62 (02) : 144 - 162
  • [6] Bexiga M., Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings. MODELS'20, P1, DOI DOI 10.1145/3417990.3420195
  • [7] Brown J. S., 1989, Educ. Res, V18, P32, DOI DOI 10.2307/1176008
  • [8] Brown T, 2008, HARVARD BUS REV, V86, P84
  • [9] Cha MY, 1998, ARTIFICIAL INTELLIGENCE IN DESIGN '98, P169
  • [10] Clancey WilliamJ., 1997, Situated Cognition: On Human Knowledge and Computer Representations