{"title":"Comparing LMS and AEHS: Challenges for Improvement with Exploitation of Data Mining","authors":"Ioannis E. Karagiannis, M. Satratzemi","doi":"10.1109/ICALT.2014.29","DOIUrl":null,"url":null,"abstract":"E-learning systems can be divided in two categories according to the personalization level they offer. LMS and AEHS are representative systems of the above categories. LMS have more capabilities than AEHS but, on the other hand, AEHS consider student's differences and offer personalized learning to achieve better results. Our research findings led us to embed adaptivity techniques in Moodle, with adoption of a hybrid dynamic user model, which is built with techniques that are based both upon knowledge and behaviour of learner.","PeriodicalId":268431,"journal":{"name":"2014 IEEE 14th International Conference on Advanced Learning Technologies","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 14th International Conference on Advanced Learning Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICALT.2014.29","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
E-learning systems can be divided in two categories according to the personalization level they offer. LMS and AEHS are representative systems of the above categories. LMS have more capabilities than AEHS but, on the other hand, AEHS consider student's differences and offer personalized learning to achieve better results. Our research findings led us to embed adaptivity techniques in Moodle, with adoption of a hybrid dynamic user model, which is built with techniques that are based both upon knowledge and behaviour of learner.