Technology clustering issues: Understanding problems in prediction

Kokotovich, V

Technology clustering issues: Understanding problems in prediction

Kokotovich, V

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Publisher:: Griffith Institute for Educational Research
Publication Type:: Conference Proceeding
Citation:: 7th Biennial International Conference on Technology Education Research: Explorations of best practice in Technology, Design & Engineering Education, 2012, pp. 9 - 18
Issue Date:: 2012-01

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Field	Value	Language
dc.contributor.author	Kokotovich, V	en_US
dc.contributor.editor	Middleton, H	en_US
dc.date	2012-12-05	en_US
dc.date.issued	2012-01	en_US
dc.identifier.citation	7th Biennial International Conference on Technology Education Research: Explorations of best practice in Technology, Design & Engineering Education, 2012, pp. 9 - 18	en_US
dc.identifier.isbn	978-1-921760-95-2	en_US
dc.identifier.uri	http://hdl.handle.net/10453/30790
dc.description.abstract	Frequently, Industrial Design students at the tertiary level, and Design & Technology students at the secondary level, have similar problems in developing technology based solutions to major projects in their final year. Often they need to make design decisions in relation to clustering 'appropriate' technologies when developing and embodying their design proposals. Technologies have limited life spans and these life spans are getting increasingly shorter. In addition, due to socio-cultural and technological changes these student projects are becoming more complex. Consequently, students will need to understand problems associated with predicting appropriate clusters of technologies in solution development. While this paper will discuss some tools which may assist the designer in the design decision making process in relation to technology clustering, it is argued at irrespective of prediction tools and strategies, which admittedly 'assist' design decision making, they fall short in terms of predicting relationships between technology clusters and the people who would use them. This paper presents the case that major projects being developed by university design students in their final year, and indeed high school D&T students can be supported by mapping strategies. These should address needs issues balanced against developing an appropriate discontinuity between technologies.	en_US
dc.publisher	Griffith Institute for Educational Research	en_US
dc.relation.ispartof	7th Biennial International Conference on Technology Education Research: Explorations of best practice in Technology, Design & Engineering Education	en_US
dc.relation.ispartof	Technology Education Research Conference	en_US
dc.title	Technology clustering issues: Understanding problems in prediction	en_US
dc.type	Conference Proceeding
utslib.location	Brisbane	en_US
utslib.location.activity	Crowne Plaza Hotel Surfers Paradise, Australia	en_US
utslib.for	1203 Design Practice and Management	en_US
dc.location.activity	Crowne Plaza Hotel Surfers Paradise, Australia
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building/School of Design
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.finish-date	2012-12-08	en_US
pubs.place-of-publication	Brisbane	en_US
pubs.start-date	2012-12-05	en_US

Abstract:

Frequently, Industrial Design students at the tertiary level, and Design & Technology students at the secondary level, have similar problems in developing technology based solutions to major projects in their final year. Often they need to make design decisions in relation to clustering 'appropriate' technologies when developing and embodying their design proposals. Technologies have limited life spans and these life spans are getting increasingly shorter. In addition, due to socio-cultural and technological changes these student projects are becoming more complex. Consequently, students will need to understand problems associated with predicting appropriate clusters of technologies in solution development. While this paper will discuss some tools which may assist the designer in the design decision making process in relation to technology clustering, it is argued at irrespective of prediction tools and strategies, which admittedly 'assist' design decision making, they fall short in terms of predicting relationships between technology clusters and the people who would use them. This paper presents the case that major projects being developed by university design students in their final year, and indeed high school D&T students can be supported by mapping strategies. These should address needs issues balanced against developing an appropriate discontinuity between technologies.

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http://hdl.handle.net/10453/30790