By Topic

Social Group Collaborative Learning and Knowledge Sharing Environment

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Rong Wang ; Sch. of Inf., Renmin Univ. of China, Beijing, China ; Jie Deng ; Fei Men

In consideration of new trends in cognition science, learning, technology and human life, we have put forward the concept of social group collaborative learning (SGCL) in our previous work. This paper first presents the architecture of SGCL system which is divided into user layer, system layer and storage layer. The user layer helps individuals construct their cognitions. The system layer aggregates individual cognitions into group cognition and discover relations among the knowledge, users and the resources. The storage layer stores necessary information. Then this paper describes how the system supports cognition constructing, modeling and aggregating. There are four elements in SGCL system, which are learners, knowledge, resources and relations between two of the pervious elements. At last, this paper analyzes the network made of the four elements and explains how the system discovers knowledge group, resources group and learners group so as to help learners to construct their cognition maps.

Published in:

Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on

Date of Conference:

11-13 Dec. 2009