Dear Don and all,
For those interested in intuition, Bastick's classics may be of use:
Bastick , T (1982) 'Intuition: How we Think and Act'. Australia, John Wiley
Bastick, T. (2003). 'Intuition: Evaluating the Construct and its Impact on Creative Thinking'. Kingston: Stonemen and Lang.
Both are relatively easy to read, comprehensive and hefty books with robust analyses and extensive reference lists. Disclaimer, I wrote the foreword on the second book.
Best wishes ,
Terry
---
Dr Terence Love
PhD(UWA), BA(Hons) Engin. PGCEd, FDRS, AMIMechE, MISI
Honorary Fellow
IEED, Management School
Lancaster University, Lancaster, UK
ORCID 0000-0002-2436-7566
Director,
Love Services Pty Ltd
PO Box 226, Quinns Rocks
Western Australia 6030
Tel: +61 (0)4 3497 5848
Fax:+61 (0)8 9305 7629
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-----Original Message-----
From: [log in to unmask] [mailto:[log in to unmask]] On Behalf Of G. Mauricio Mejía
Sent: Sunday, 18 May 2014 10:40 PM
To: [log in to unmask]
Subject: Re: Qualitative and Quantitative Information
Don, Francois, and all,
If cumulative experiences allow us to form tacit knowledge, then, intuition is tacit knowledge. This supports the strategy of studio-based education, in which experience is the major activity to improve intuition skills in the designers. What is usually missing is the “analytical” part of the process in which designers evaluate if the outcomes (reflection). My reading is that Don’s model tries to bring more analytical thinking to design practice.
In Don’s TOM model observe is intuitive, test is analytical, and make is unclear. I assume that make is intuitive too. It seems to me that this is not clear-cut, I agree with Francois. For example, would not observe be either analytical or intuitive? Also, when doing heuristic evaluations, we are relying on intuition of experts.
Further, I don’t think qualitative methods are only intuitive. Although the researcher must acknowledge that his subjectivity and biases (and intuition) are part of the process, the goal is to find valid knowledge with analytical process such as data categorization into themes.
Best,
Mauricio
G. Mauricio Mejía, PhD
Profesor Asociado Universidad de Caldas http://twitter.com/mmejiaramirez
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