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 |
