{"title":"E-Learning Platform Characterization from User Trafic","authors":"M. M. Cristian, B. D. Dan","doi":"10.1109/SOFTCOM.2006.329780","DOIUrl":null,"url":null,"abstract":"An e-Learning platform has been designed and implemented. The platform has built in capabilities of monitoring and recording user's actions. For a user, all executed actions on the platform represent his activity. The activity of all users makes up platform's activity. Based on platform's activity data, we introduce an attribute for our e-Learning platform called Quality of Service (QoS). Two parameters define the QoS: learning proficiency of students and classification capability of the platform. Machine learning and modeling techniques evaluate the parameters for our platform or any other e-Learning system.","PeriodicalId":292242,"journal":{"name":"2006 International Conference on Software in Telecommunications and Computer Networks","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 International Conference on Software in Telecommunications and Computer Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOFTCOM.2006.329780","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
An e-Learning platform has been designed and implemented. The platform has built in capabilities of monitoring and recording user's actions. For a user, all executed actions on the platform represent his activity. The activity of all users makes up platform's activity. Based on platform's activity data, we introduce an attribute for our e-Learning platform called Quality of Service (QoS). Two parameters define the QoS: learning proficiency of students and classification capability of the platform. Machine learning and modeling techniques evaluate the parameters for our platform or any other e-Learning system.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
