{"title":"一个使用机器学习辅导多种语言的移动专家系统","authors":"M. Virvou, E. Alepis, C. Troussas","doi":"10.1109/ICELETE.2012.6333376","DOIUrl":null,"url":null,"abstract":"Towards the creation of a mobile expert tutoring system that teaches multiple languages, we have incorporated machine learning approaches into a sophisticated mobile system. The mobile system provides adaptivity to user needs based on the creation of user models. The resulting superset that consists of all user/student models is further processed by two machine learning approaches in order to create user model clusters and to provide sophisticated data as stereotypes for new potential users.","PeriodicalId":185614,"journal":{"name":"2012 International Conference on E-Learning and E-Technologies in Education (ICEEE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"A mobile expert system for tutoring multiple languages using machine learning\",\"authors\":\"M. Virvou, E. Alepis, C. Troussas\",\"doi\":\"10.1109/ICELETE.2012.6333376\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Towards the creation of a mobile expert tutoring system that teaches multiple languages, we have incorporated machine learning approaches into a sophisticated mobile system. The mobile system provides adaptivity to user needs based on the creation of user models. The resulting superset that consists of all user/student models is further processed by two machine learning approaches in order to create user model clusters and to provide sophisticated data as stereotypes for new potential users.\",\"PeriodicalId\":185614,\"journal\":{\"name\":\"2012 International Conference on E-Learning and E-Technologies in Education (ICEEE)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on E-Learning and E-Technologies in Education (ICEEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICELETE.2012.6333376\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on E-Learning and E-Technologies in Education (ICEEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICELETE.2012.6333376","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A mobile expert system for tutoring multiple languages using machine learning
Towards the creation of a mobile expert tutoring system that teaches multiple languages, we have incorporated machine learning approaches into a sophisticated mobile system. The mobile system provides adaptivity to user needs based on the creation of user models. The resulting superset that consists of all user/student models is further processed by two machine learning approaches in order to create user model clusters and to provide sophisticated data as stereotypes for new potential users.