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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Cristian, Mihaescu Marian Dan, Burdescu Dumitru |
| Copyright Year | 2006 |
| Description | Author affiliation: Teaching assistant, University of Craiova, Software Engineering Department, Bvd. Decebal, Nr. 107, 200440, Craiova, Dolj, Romania. E-mail: mihaescu@software.ucv.ro (Cristian, Mihaescu Marian) || Professor, University of Craiova, Software Engineering Department, Bvd. Decebal, Nr. 107, 200440, Craiova, Dolj, Romania. E-mail: burdescu_dumitru@software.ucv.ro (Dan, Burdescu Dumitru) |
| 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. |
| Starting Page | 342 |
| Ending Page | 346 |
| File Size | 199160 |
| Page Count | 5 |
| File Format | |
| ISBN | 9536114909 |
| DOI | 10.1109/SOFTCOM.2006.329780 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-09-29 |
| Publisher Place | Croatia |
| Access Restriction | Subscribed |
| Rights Holder | Univ of Split |
| Subject Keyword | Electronic learning Databases Machine learning Quality of service Web mining Packaging Logic Monitoring Classification tree analysis Software engineering |
| Content Type | Text |
| Resource Type | Article |
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