IJOSpontaneous Group Decision Making in Distributed Collaborative Learning

2013 ◽  
Vol 3 (2) ◽  
pp. 40-58
Author(s):  
Geoffrey Z. Liu

The paper reports on an exploratory study of student spontaneous group decision making (GDM) in distributed collaborative learning environments. Recordings of group meetings were collected from graduate students working on a database design project (in a library and information science program in California), from which group decision instances were extracted and formally coded for quantitative analysis. A follow-up survey was conducted to gather more information. The study finds that students are generally in favor of an unfacilitated and semi-structured GDM process, with group decisions typically made by consensus. A rigidly structured GDM process tends to be associated with poor group performance. GDM efficiency is an important predictor of the quality of final group products, and too much brainstorming may lead to difficulties. Students relying exclusively on text chatting tend to be unsure if their opinion was given equal attention, and those in underperforming groups are more doubtful about decision quality.

2016 ◽  
Vol 33 (6) ◽  
pp. 1767-1783 ◽  
Author(s):  
Ting-Cheng Chang ◽  
Hui Wang

Purpose – The purpose of this paper is to select the best scaling coefficient during the quantitative-qualitative conversion. Design/methodology/approach – Cloud model can describe the qualitative concept of randomness and fuzziness, achieve uncertain transition between qualitative and quantitative in the field of multi-criteria group decision and has been receiving widespread attention. This paper discusses scale conversion issues of the cloud model when evaluating qualitative information. In order to improve the accuracy of the evaluation on multi-attribute decision problems based on uncertainty of natural linguistic information, this paper proposes a method of self-testing cloud model based on a composite scale (with the exponential scale and the scale as a basis). Findings – Through experimental verification results show that under composite scale, the best suitable selection of can effectively improve the accuracy and reliability of decision results. Originality/value – This research presents a new approach to determine the suitable value for coefficient based on uncertain knowledge of natural multi-criteria group decision making, and gives concrete steps and examples. This method has positive significance to improve the quality of qualitative and quantitative conversion based on cloud model.


1984 ◽  
Vol 12 (2) ◽  
pp. 157-164 ◽  
Author(s):  
Michael R. Callaway ◽  
James K Esser

Janis' (1972) groupthink formulation was tested in the laboratory by manipulating group cohesiveness and adequacy of decision procedures in a factorial design. Internal analysis, involving redefined cohesiveness categories, provided mixed support for the groupthink hypothesis on measures of decision quality and group processes presumed to underlie the groupthink decisions. Specifically, it was found that: (1) highest quality decisions were produced by groups of intermediate cohesiveness; (2) high cohesive groups without adequate decision procedures (the groupthink condition) tended to make the poorest decisions; and (3) the presence of groupthink was characterized by a lack of disagreement and a high level of confidence in the group's decisions.


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