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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zapata, A. Menendez, V.H. Prieto, M.E. |
| Copyright Year | 2009 |
| Abstract | Metadata is the key to describe Learning Objects. Through them, we can search and reuse these resources. However, there are pedagogical and usability characteristics that metadata do not normally contain. Sources of additional information such as activity log registers in repositories can help to specify such attributes. Data mining techniques allow identifying Learning Objects usability characteristics. This paper presents the results of applying a knowledge extraction methodology to Learning Objects through the use of four data sources: metadata, pedagogical quality evaluations, user’s profiles, and log files from Learning Objects management systems. |
| Starting Page | 1126 |
| Ending Page | 1130 |
| File Size | 365848 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424447350 |
| DOI | 10.1109/ISDA.2009.184 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-11-30 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Electronic learning Project management Ontologies Knowledge management Data mining Usability Intelligent systems Environmental management Quality management Sorting |
| Content Type | Text |
| Resource Type | Article |
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