DocumentCode
3475197
Title
Multi-layered learner knowledge model for evaluative multi-agent simulation
Author
Hashimoto, Kiyota ; Takeuchi, Kazuhiro
Author_Institution
Sch. of Humanities & Social Sci., Osaka Prefecture Univ., Sakai, Japan
fYear
2011
fDate
27-30 Sept. 2011
Firstpage
270
Lastpage
275
Abstract
Various kinds of learner support systems have been proposed and employed, and their evaluation, whether it is at a developmental stage or at the employing stage, depends on learners, which is inevitable but which failure must be avoided as much as possible. For that purpose, it is desirable to employ a computer simulation, but the body of relevant knowledge, the model representing learning stages, and learner data are necessary. In this prototypical study, we propose a novel method to employ a multi-layered multi-agent simulation.
Keywords
learning (artificial intelligence); multi-agent systems; simulation; developmental stage; employing stage; evaluative multiagent simulation; learner data; learner support systems; learning stage representation model; multilayered learner knowledge model; relevant knowledge; Coherence; Computational modeling; Grammar; Organizations; learner simulation; machine learning; multi-layered multi-agent; system evaluation;
fLanguage
English
Publisher
ieee
Conference_Titel
Awareness Science and Technology (iCAST), 2011 3rd International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4577-0887-9
Type
conf
DOI
10.1109/ICAwST.2011.6163154
Filename
6163154
Link To Document