DocumentCode
3509221
Title
Validity Evaluation of Team Learning Based on DEA
Author
Su, Haitao ; Ma, Xiaowei ; Jiang, Ruiqing ; Xu, Bo
Author_Institution
Nanchang Univ., Nanchang
Volume
3
fYear
2009
fDate
7-8 March 2009
Firstpage
939
Lastpage
942
Abstract
Learning team construction has already become strategic choice between objective needs and the survival of the enterprise. The enterprise pays much attention to the validity of team learning. This article constructs the performance of multi-level evaluation index system and validity evaluation of team learning mathematical model based on DEA. Combined with the case, the model is used to evaluate the performance of a complex system, which is composed of more than one homogeneous decision-making unit and have more influencing factors (multi-input) and output index (multi-output). To compare the order of team learning performance, determine the validity of technology and scale, analyses team learning problem diagnoses, and so on. By contrast with other analyses, comparing the validity evaluation of team learning of different teams simultaneously and contrasting the asynchronous validity evaluation of team learning about the same team to evaluate the validity of team learning according to DEA method. It is significant for improving team learning performance management level and resource utilization rate.
Keywords
data envelopment analysis; decision making; large-scale systems; performance index; training; complex system; multi-level evaluation index system; performance management level; resource utilization; team learning; validity evaluation; Computer science; Computer science education; Data analysis; Data envelopment analysis; Decision making; Educational technology; Mathematical model; Performance analysis; Resource management; Virtual groups; data envelope analysis; evaluation; team learning; validity;
fLanguage
English
Publisher
ieee
Conference_Titel
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-1-4244-3581-4
Type
conf
DOI
10.1109/ETCS.2009.747
Filename
4959462
Link To Document