DOES USING DIFFERENT CONCEPT GENERATION TECHNIQUES CHANGE THE DESIGN COGNITION OF DESIGN STUDENTS

This paper presents the preliminary results of protocol studies to determine the effects of teaching different concept generation techniques to engineering students on their design cognition. Twenty-two mechanical engineering students were given instructions in the three concept generation techniques of brainstorming, morphological analysis and TRIZ as part of their undergraduate education at a large land grant university. After the instruction for each concept generation technique, the students were formed into the same teams of two. Each team was given the same set of three design tasks, one for each concept generation technique, while their verbalization and gestures were videoed as they designed for a period of 45 minutes. Students’ design cognition was examined by protocol analysis using the FBS ontologically-based coding scheme. Preliminary results indicate that statistically significant differences in students’ design cognition were observed when using different concept generation techniques.

[1]  Monika Lumsdaine,et al.  Creative Problem Solving: Thinking Skills for a Changing World , 1994 .

[2]  K. Narasimhan Simplified TRIZ: New Problem‐Solving Applications for Engineers and Manufacturing Professionals , 2006 .

[3]  John S. Gero,et al.  The Situated Function - Behaviour - Structure Framework , 2002, AID.

[4]  Nigel Cross,et al.  Analysing design activity , 1996 .

[5]  Maarten van Someren,et al.  The Think Aloud Method: A Practical Guide to Modelling Cognitive Processes , 1994 .

[6]  K. A. Ericsson,et al.  Protocol Analysis: Verbal Reports as Data , 1984 .

[7]  Morteza Pourmohamadi,et al.  LINKOGRAPHER: AN ANALYSIS TOOL TO STUDY DESIGN PROTOCOLS BASED ON FBS CODING SCHEME , 2011 .

[8]  Peter Lloyd,et al.  About: Designing , 2022 .

[9]  John S. Gero,et al.  Exploring the Effect of Design Education on the Design Cognition of Mechanical Engineering Students , 2011 .

[10]  Jami J. Shah,et al.  Evaluation of idea generation methods for conceptual design: Effectiveness metrics and design of experiments , 2000 .

[11]  G. S. Alʹtshuller,et al.  40 Principles: TRIZ Keys to Technical Innovation , 1998 .

[12]  John S. Gero,et al.  Design Prototypes: A Knowledge Representation Schema for Design , 1990, AI Mag..

[13]  David G. Ullman,et al.  The Mechanical Design Process , 1992 .

[14]  Noel León-Rovira,et al.  Trends in Computer Aided Innovation - Second IFIP Working Conference on Computer Aided Innovation, October 8-9 2007, Michigan, USA , 2007, IFIP CAI.

[15]  Masaki Suwa,et al.  Unexpected discoveries and S-invention of design requirements , 2000 .

[16]  K. A. Ericsson,et al.  Protocol analysis: Verbal reports as data, Rev. ed. , 1993 .

[17]  David W. Rosen,et al.  Refined metrics for measuring ideation effectiveness , 2009 .

[18]  G. Altshuller Creativity as an exact science : the theory of the solution of inventive problems , 1984 .

[19]  Carolyn Conner Seepersad,et al.  An experimental investigation of the innovation capabilities of engineering students , 2010 .

[20]  B. Nijstad,et al.  Production blocking and idea generation: Does blocking interfere with cognitive processes? , 2003 .

[21]  Steven M. Smith,et al.  Metrics for measuring ideation effectiveness , 2003 .

[22]  John S. Gero,et al.  An approach to the analysis of design protocols , 1998 .

[23]  T. Ritchey,et al.  Problem structuring using computer-aided morphological analysis , 2006, J. Oper. Res. Soc..

[24]  Carolyn Conner Seepersad,et al.  Study of Existing Metrics Used in Measurement of Ideation Effectiveness , 2010 .

[25]  John S. Gero,et al.  Effects of design education on design cognition: A preliminary study of a sophomore design course , 2011, 2011 Frontiers in Education Conference (FIE).

[26]  John S. Gero,et al.  EXPLORING THE EFFECT OF DESIGN EDUCATION ON THE DESIGN COGNITION OF TWO ENGINEERING MAJORS , 2012 .