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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Carbo, J.M. Mor, E. Minguillon, J. |
| Copyright Year | 2005 |
| Description | Author affiliation: Comput. Sci. & Multimedia Studies, Univ. Oberta de Catalunya, Barcelona, Spain (Carbo, J.M.; Mor, E.; Minguillon, J.) |
| Abstract | In this paper, we describe the navigational behavior of the students of an e-learning virtual environment, in order to determine whether such navigational patterns are related to the academic performance achieved by the students or not, and which behaviors can be identified as more successful. As an example, a subset of students taking a degree in computer science in a completely virtual online university is selected as the matter of study. Three levels of analysis are described: a session level, where students perform a few actions in a single session logged to the virtual campus; a course level, where all single sessions are joined to form a course navigational pattern; and a lifelong learning level, where students enroll in several subjects each academic semester. A simple experiment is outlined for the course level to demonstrate the possibilities of such analysis in a virtual e-learning environment. This experiment shows that the information collected in this level is useful for understanding user behavior and the relationship with his or her academic achievements, and that some intuitive ideas about the relevance of specific user actions or particularities can be also better explained. |
| Sponsorship | IEEE Comput. Soc. Web Intelligence Consortium (WIC) Assoc. for Comput. Machinery (ACM) |
| Starting Page | 243 |
| Ending Page | 249 |
| File Size | 226716 |
| Page Count | 7 |
| File Format | |
| ISBN | 076952415X |
| DOI | 10.1109/WI.2005.155 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-09-19 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computer science Electronic learning Content management Navigation Virtual environment Web mining Internet Performance analysis Environmental management Pattern analysis |
| Content Type | Text |
| Resource Type | Article |
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