Gligor-Calin Loghin, T. Carron, J. Marty, M. Vaida
{"title":"基于多智能体系统的学习过程观察与自适应:实验","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":"{\"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}","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}
Observation and adaptation of a learning session based on a multi-agent system: An experiment
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.