A Multi-agent System Based on Activity Theory for Collaborative Network Learning

Document type: Conference Papers
Peer reviewed: Yes
Author(s): Xu Liang, Wang Ruo, Guohua Bai
Title: A Multi-agent System Based on Activity Theory for Collaborative Network Learning
Conference name: 1st International Workshop on Education Technology and Computer Science, ETCS 2009
Year: 2009
Pagination: 392-397
ISBN: 978-076953557-9
Publisher: IEEE
City: Wuhan, Hubei
URI/DOI: 10.1109/ETCS.2009.97
ISI number: 000268236900090
Organization: Blekinge Institute of Technology
Department: School of Computing (Sektionen för datavetenskap och kommunikation)
School of Computing S-371 79 Karlskrona
+46 455 38 50 00
http://www.bth.se/com
Language: English
Abstract: Collaborative learning can effectively improve the learning efficiency of learners rather individual learning. Activity theory is a theoretical framework for analyzing human practices as developmental processes with both individual and social levels interlinked at the same time. Learn is a activity, in this paper, we analyze the composition of collaborative network learning activity including goals, subjects, objects, tools and rules. finally, We design a multi-agent system for collaborative network learning, structure and function of every hype agent are discussed
Subject: Education\General
Computer Science\General
Software Engineering\General
Keywords: Activity coefficients, Computer science, Education computing, Multi agent systems
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