An assessment method for a designerly way of computational thinking

The article presents an assessment method for the designers’ use of abstraction skills in the process of CT. Starting with questioning how abstraction partakes in design and computer sciences, the study focuses on the impacts of making conceptual and procedural abstractions in CT. For that, it offers an assessment method to explore whether a visual thinker’s ability to make abstractions has any impact on their process of visual computing. As a concept, CT is considered as a mental activity for formulating a problem to admit a computational solution by combining the intelligence of humans and machines. It is addressed as a collection of mental tools and concepts that are borrowed from computer sciences. Within this regard, architecture is one of the fields that require careful consideration of these cognitive aspects towards CT. Although both computer and design sciences value abstraction in similar ways, its introduction to the design field slightly differs from its introduction to computer sciences. Considering the differences in their conceptual background and reflective practices, it can be said that the abstraction of a visual thinker may not always constitute the way that CT requires. Based on a two-stage experiment in a CAD modeling framework, the developed methodology revealed that the designers’ abilities to make abstractions at a procedural level partake a significant role in their visual computing. While the first experiment is conducted with 3 sophomore architecture students, the second was conducted with the participation of 3 non-designers along with the same architecture students.

___

Aish, R., & Hanna, S. (2017). Comparative evaluation of parametric design systems for teaching design computation. Design Studies, 52, 144–172. https://doi.org/10.1016/j.destud. 2017.05.002

Arnheim, R. (2004). Art and visual perception: A psychology of the creative eye, fiftieth anniversary printing (Rev. ed.). Berkeley and Los Angeles.

Blackwell, A. F. (2002, June). What is programming?. In PPIG (p. 20).

Denning, P. J. (2017). Remaining trouble spots with computational thinking. Communications of the ACM, 60(6), 33–39. https://doi. org/10.1145/2998438

Dror, I. (2011). Brain friendly technology: What is it? And why do we need it?. eLearn, 2011(8), 4.

Dr.Scratch, (n.d.). Abstraction. Retrieved November 15, 2019, from http://www.drscratch.org/learn/Abstraction/

Erhan, H. I., Youssef, B. B., & Berry, B. (2012). Teaching Spatial Thinking in Design Computation Contexts: Challenges and Opportunities. In Computational Design Methods and Technologies: Applications in CAD, CAM and CAE Education (pp. 365-389). IGI Global.

Goldschmidt, G. (2011). Avoiding design fixation: transformation and abstraction in mapping from source to target. The Journal of Creative Behavior, 45(2), 92–100.

Guzdial, M. (2008). Education Paving the way for computational thinking. Commun. ACM, 51(8), 25. https:// doi.org/10.1145/1378704.1378713

Guzdial, M. (2010). Does contextualized computing education help?. ACM Inroads, 1(4), 4-6.

Lawson, B. (2006). How designers think. Routledge.

Locke, J. (1979). An Essay Concerning Human Understanding, ed. P. Nidditch (1975). Oxford: Clarendon Press.

National Research Council. (2010). Report of a workshop on the scope and nature of computational thinking. National Academies Press.

Schön, D. A. (1987). Jossey-Bass higher education series. Educating the reflective practitioner: Toward a new design for teaching and learning in the professions. Jossey-Bass.

Sengupta, P., Kinnebrew, J. S., Basu, S., Biswas, G., & Clark, D. (2013). Integrating computational thinking with K-12 science education using agentbased computation : A theoretical framework. Education and Information Technologies, 18(2), 351–380.

Senske, N. (2014). Digital minds, materials, and ethics: linking computational thinking and digital craft. Proceedings of the 19th International Conference on ComputerAided Architectural Design Research in Asia CAADRIA, 841–850.

Ware, C. (2008). Visual Thinking: for Design (Morgan Kaufmann Series in Interactive Technologies).

Weisberg, R. W., & Reeves, L. M. (2013). Cognition: from memory to creativity. John Wiley & Sons.

Wing, J. M. (2017). Computational thinking’s influence on research and education for all Influenza del pensiero computazionale nella ricerca e nell’educazione per tutti. Italian Journal of Educational Technology, 25(2), , 7–14. https://doi.org/10.17471/2499- 4324/922

Wing, J. M. (2008). Computational thinking and thinking about computing. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 366(1881), 3717–3725. https://doi.org/10.1098/ rsta.2008.0118
A|Z ITU Mimarlık Fakültesi Dergisi-Cover
  • ISSN: 2564-7474
  • Yayın Aralığı: Yılda 3 Sayı
  • Başlangıç: 2005
  • Yayıncı: İTÜ Rektörlüğü