Title :
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
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;
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
DOI :
10.1109/ETCS.2009.97
