{"title":"电子学习系统中分组学生的教育数据挖掘","authors":"Divna Krpan, S. Stankov","doi":"10.2498/iti.2012.0470","DOIUrl":null,"url":null,"abstract":"The popularity and the use of e-learning systems increased through last decades. Students produce a lot of data through their interactions with the system, which is often not exploited. Since there is a vast amount of such data, data mining techniques were used as the appropriate solution. In this paper we show practical experience with specific e-learning system and applied data mining technique for the analysis which served as a tool for grouping students with similar characteristics.","PeriodicalId":135105,"journal":{"name":"Proceedings of the ITI 2012 34th International Conference on Information Technology Interfaces","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"Educational data mining for grouping students in e-learning system\",\"authors\":\"Divna Krpan, S. Stankov\",\"doi\":\"10.2498/iti.2012.0470\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The popularity and the use of e-learning systems increased through last decades. Students produce a lot of data through their interactions with the system, which is often not exploited. Since there is a vast amount of such data, data mining techniques were used as the appropriate solution. In this paper we show practical experience with specific e-learning system and applied data mining technique for the analysis which served as a tool for grouping students with similar characteristics.\",\"PeriodicalId\":135105,\"journal\":{\"name\":\"Proceedings of the ITI 2012 34th International Conference on Information Technology Interfaces\",\"volume\":\"60 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the ITI 2012 34th International Conference on Information Technology Interfaces\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2498/iti.2012.0470\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ITI 2012 34th International Conference on Information Technology Interfaces","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2498/iti.2012.0470","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Educational data mining for grouping students in e-learning system
The popularity and the use of e-learning systems increased through last decades. Students produce a lot of data through their interactions with the system, which is often not exploited. Since there is a vast amount of such data, data mining techniques were used as the appropriate solution. In this paper we show practical experience with specific e-learning system and applied data mining technique for the analysis which served as a tool for grouping students with similar characteristics.