Publication | Closed Access
Designing ThinkLets for Convergence
24
Citations
28
References
2007
Year
Artificial IntelligenceIntelligent Information ProcessingEngineeringMachine LearningSequential LearningProject ManagementCognitionSocial SciencesData ScienceConvergence Performance CriteriaCollective CognitionCognitive ScienceComputational Learning TheoryDesignKnowledge DiscoveryNew Convergence ThinkletsComputer ScienceInformation ManagementConvergence ThinkletsCognitive DynamicsCognitive System EngineeringGroup WorkDesign ThinkingHuman-computer Interaction
Convergence is a critical activity in group work that lays the foundation for shared understanding and the overall advancement of the group’s task. However, convergence is time consuming and has been shown to be a slow and painful process for groups. The goal of this research is to derive a number of convergence performance criteria from field experiences with commonly used convergence thinkLets. Based on these insights, two new convergence thinkLets are proposed that were designed to overcome some of the limitations of existing thinkLets. To investigate the merits of these thinkLets, a program of study based on the design science paradigm is presented. Finally, the performance criteria are used to forward a selection guide for convergence thinkLets.
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