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

Author

Liang, Xu ; Ruo Wang ; Bai, Guohua

Author_Institution

Sch. of Manage. & Econ., Kunming Univ. of Sci. & Technol., Kunming

Volume

1

fYear

2009

fDate

7-8 March 2009

Firstpage

392

Lastpage

397

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 type agent are discussed.

Keywords

groupware; learning (artificial intelligence); multi-agent systems; activity theory; collaborative network learning; developmental process; learning efficiency; multiagent system; Collaboration; Collaborative work; Computer network management; Computer science; Computer science education; Educational technology; Humans; Multiagent systems; Systems engineering education; Technology management; Collaborative network learning; activity theory; multi agent system;

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.2009.97

Filename

4958800