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A Multi-agent System Based on Activity Theory for Collaborative Network Learning
Responsible organisation
2009 (English)Conference paper, (Refereed) 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

Place, publisher, year, edition, pages
Wuhan, Hubei: IEEE , 2009.
Keyword [en]
Activity coefficients, Computer science, Education computing, Multi agent systems
National Category
Pedagogy Software Engineering Computer Science
Identifiers
URN: urn:nbn:se:bth-7851DOI: 10.1109/ETCS.2009.97ISI: 000268236900090Local ID: oai:bth.se:forskinfoE08F6BBEBCEAA69CC12576DB00373779ISBN: 978-076953557-9 (print)OAI: oai:DiVA.org:bth-7851DiVA: diva2:835518
Conference
1st International Workshop on Education Technology and Computer Science, ETCS 2009
Available from: 2012-09-18 Created: 2010-03-03 Last updated: 2015-06-30Bibliographically approved

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Bai, Guohua
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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