Gligor-Calin Loghin, T. Carron, J. Marty, M. Vaida
{"title":"Observation and adaptation of a learning session based on a multi-agent system: An experiment","authors":"Gligor-Calin Loghin, T. Carron, J. Marty, M. Vaida","doi":"10.1109/ICCP.2008.4648349","DOIUrl":null,"url":null,"abstract":"The work reported here deals with the observation of pedagogical activities in educational platforms. Userspsila behavior is observed through the traces of their activity. In this paper we present a multi-agent system designed to bring more flexibility to the observation of learnerspsila behavior in educational platforms. Our system enables the teacher to dynamically adapt his/her observation scenario during the learning session by possibly reconfiguring dynamically both the behavior and the topology of dedicated agents. We describe our multi-agent system with a dedicated agent configuration language and we illustrate it through an example of use in a real learning context.","PeriodicalId":169031,"journal":{"name":"2008 4th International Conference on Intelligent Computer Communication and Processing","volume":"125 11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 4th International Conference on Intelligent Computer Communication and Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCP.2008.4648349","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The work reported here deals with the observation of pedagogical activities in educational platforms. Userspsila behavior is observed through the traces of their activity. In this paper we present a multi-agent system designed to bring more flexibility to the observation of learnerspsila behavior in educational platforms. Our system enables the teacher to dynamically adapt his/her observation scenario during the learning session by possibly reconfiguring dynamically both the behavior and the topology of dedicated agents. We describe our multi-agent system with a dedicated agent configuration language and we illustrate it through an example of use in a real learning context.
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