Title
Modeling collective learning in design
Abstract
In this paper, a model of collective learning in design is developed in the context of team design. It explains that a team design activity uses input knowledge, environmental information, and design goals to produce output knowledge. A collective learning activity uses input knowledge from different agents and produces learned knowledge with the process of knowledge acquisition and transformation between different agents, which may be triggered by learning goals and rationale triggers. Different forms of collective learning were observed with respect to agent interactions, goal(s) of learning, and involvement of an agent. Three types of links between team design and collective learning were identified, namely teleological, rationale, and epistemic. Hypotheses of collective learning are made based upon existing theories and models in design and learning, which were tested using a protocol analysis approach. The model of collective learning in design is derived from the test results. The proposed model can be used as a basis to develop agent-based learning systems in design. In the future, collective learning between design teams, the links between collective learning and creativity, and computational support for collective learning can be investigated.
Year
DOI
Venue
2004
10.1017/S0890060404040193
AI EDAM
Keywords
Field
DocType
design team,team design activity,collective learning,output knowledge,team design,input knowledge,different agent,knowledge acquisition,design goal,collective learning activity,protocol analysis,creativity
Team learning,Experiential learning,Collaborative learning,Active learning,Action learning,Knowledge management,Engineering,Cooperative learning,Management science,Knowledge acquisition,Proactive learning
Journal
Volume
Issue
ISSN
18
4
0890-0604
Citations 
PageRank 
References 
4
0.59
10
Authors
2
Name
Order
Citations
PageRank
Zhichao Wu140.93
Alex H. B. Duffy211118.82