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A Multi-agent System Based on Activity Theory for Collaborative Network Learning
Ansvarlig organisasjon
2009 (engelsk)Konferansepaper, Publicerat paper (Fagfellevurdert) Published
Abstract [en]

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

sted, utgiver, år, opplag, sider
Wuhan, Hubei: IEEE , 2009.
Emneord [en]
Activity coefficients, Computer science, Education computing, Multi agent systems
HSV kategori
Identifikatorer
URN: urn:nbn:se:bth-7851DOI: 10.1109/ETCS.2009.97ISI: 000268236900090Lokal ID: oai:bth.se:forskinfoE08F6BBEBCEAA69CC12576DB00373779ISBN: 978-076953557-9 (tryckt)OAI: oai:DiVA.org:bth-7851DiVA, id: diva2:835518
Konferanse
1st International Workshop on Education Technology and Computer Science, ETCS 2009
Tilgjengelig fra: 2012-09-18 Laget: 2010-03-03 Sist oppdatert: 2018-01-11bibliografisk kontrollert

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