E-learning from knowledge and experience capture in design

To retain a competitive edge, many companies have forced to move towards a knowledge-based economy and to recognise the importance of the ability to transfer the knowledge from those who have it to those who need it. In the design community where its activities are knowledge-intensive, the need to capture design knowledge for effective reuse seems crucial, particularly because of the dynamic nature of the design. There is no clear theory of how designers design and how their design process has been developed. It is therefore important to develop the knowledge support tools in parallel to how designers work and how they will use the tools. The goal of this paper is to provide a selective overview of the current e-learning approaches to knowledge-based support in the design practice.

[1]  Edward G. Michaels,et al.  The War For Talent , 2001 .

[2]  Jintae Lee,et al.  Design Rationale Systems: Understanding the Issues , 1997, IEEE Expert.

[3]  Ken M. Wallace,et al.  Supporting the Knowledge Life-Cycle , 1998, Knowledge Intensive CAD.

[4]  Janice D. Gobert,et al.  EXPERTISE IN THE COMPREHENSION OF ARCHITECTURAL PLANS: KNOWLEDGE ACQUISITION AND INFERENCE-MAKING , 1999 .

[5]  Colleen M. Zeitz,et al.  Some concrete advantages of abstraction: how experts' representations facilitate reasoning , 1997 .

[6]  G. A. Miller THE PSYCHOLOGICAL REVIEW THE MAGICAL NUMBER SEVEN, PLUS OR MINUS TWO: SOME LIMITS ON OUR CAPACITY FOR PROCESSING INFORMATION 1 , 1956 .

[7]  David G. Ullman,et al.  A comparison of the results of empirical studies into the mechanical design process , 1988 .

[8]  H.H.C.M. Christiaans,et al.  Creativity in design: the role of domain knowledge in designing , 1992 .

[9]  Klaus Ehrlenspiel,et al.  How Do Designers from Practice Design , 1998 .

[10]  J. Dixon,et al.  Engineering Design , 2019, Springer Handbook of Mechanical Engineering.

[11]  Neil Charness,et al.  Cognitive and developmental factors in expert performance , 1997 .

[12]  Saeema Ahmed,et al.  Understanding the use and reuse of experience in engineering design , 2001 .

[13]  Yue Dong,et al.  An intelligent database for engineering applications , 1998, Artif. Intell. Eng..

[14]  Lucienne Blessing,et al.  A process-based approach to computer-supported engineering design , 1994 .

[15]  H Werner,et al.  Design capturing with a modelling system using event triggered procedures , 1999 .

[16]  Raymond McCall,et al.  MIKROPLIS: a hypertext system for design , 1989 .

[17]  Renate Eisentraut Styles of problem solving and their influence on the design process , 1999 .

[18]  Thomas Glasdam Jensen Functional Modelling in a Design Support System , 1999 .

[19]  E. Jeffrey Conklin,et al.  A process-oriented approach to design rationale , 1991 .

[20]  Vimla L. Patel,et al.  The general and specific nature of medical expertise: A critical look. , 1991 .

[21]  M. Göker The effects of experience during design problem solving , 1997 .

[22]  Claudia Eckert,et al.  Signposting: an AI approach to supporting human decision making in design , 2000 .

[23]  Claus Thorp Hansen,et al.  Capturing and Reuse of Design Knowledge during the Conceptual Design Process: Illustrated with a Snap-Fit Joint , 1998 .

[24]  D. Jong,et al.  Kennis en het oplossen van vakinhoudelijke problemen : een voorbeeld uit een natuurkundig domein , 1986 .

[25]  Tim Menzies,et al.  Knowledge maintenance: the state of the art , 1999, The Knowledge Engineering Review.

[26]  Raymond McCall PHI : A Conceptual Foundation For Design Hypermedia , 1990 .

[27]  Elizabeth Chambers,et al.  The war for talent , 2001, Tijdschrift voor HRM.