The five cognitive strategies of design thinking and their (potential) contributions to learning by design

8 May 2013

Join us on the 8th of May for a CoCo Seminar by Andy Dong titled “The Five Cognitive Strategies of Design Thinking and Their (Potential) Contributions to Learning by Design”.

By now, the concept of design thinking exceeds the field of design studies. In addition to the practical, technical tools of design, many scholars view design thinking as underpinned by a particular set of cognitive strategies.

In this talk, I will discuss the five cognitive strategies associated with design thinking: framing, abduction, analogising, prototyping, and mental simulation. I will also relate them to hypothesised cognitive behaviours that are at the heart of design thinking, based upon research in animal innovation and early childhood cognitive development.

I conclude with a discussion of how insights from cognitive design research on design thinking could contribute to learning by design.

This seminar will be available live online at http://webconf.ucc.usyd.edu.au/seminar-room2/

Event details

• When: 11.00am - 12.30pm
• Where:

  Education Building (A35)

  Room 230
  

• Cost: Free
• Contact:

  Sadhbh Warren

  T: 935 12612

  E: coco@sydney.edu.au
  

• More info: Arrive at 10.45am for refreshments
• Speaker/ Performer:

  Andy Dong is the Warren Center Chair of Engineering Innovation in the Faculty of Engineering and Information Technologies and an ARC Future Fellow.

  His research addresses the structure and function of design knowledge and the causal importance of the structures and processes of design knowledge production to design-led innovation.

  At the moment, this research is being directed toward modelling the progress potential of new technologies based on their underlying knowledge structure.

  He won the Design Studies Prize in 2005 for the most significant article in the field. He is an Associate Editor of the Journal of Design Creativity and Innovation and on the Editorial Board of Design Studies, Journal of Engineering Design, and Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

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