Volume 3, Issue 1 (3-2011)                   2011, 3(1): 67-72 | Back to browse issues page

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Sulaimany S, Maghsoudi B, Amiri A. Improving the Performance of E-Learning Systems Using Extracted Web Server Log File Suggestions . International Journal of Information and Communication Technology Research 2011; 3 (1) :67-72
URL: http://ijict.itrc.ac.ir/article-1-225-en.html
Abstract:   (2506 Views)

There are many opportunities to improve E-Learning web-based applications with regard to continue challenges e.g. their lack of interaction between teachers and students and structural evaluation of the presented learning activity. In this paper, E-Learning system web server log data and information about its control panel are provided; then the gathered data were preprocessed. After extracting association rules form these data and selecting results using more confidence coefficients, they were used as a virtual consultant for improving the E-Learning system. MySQL was used as the database for storing and extracting patterns. Extracting association rules with more confidence coefficients was done using Weka Software. The selected E-Learning web application was Moodie and the virtual university case study was Iran University of Science and Technology. The obtained results showed the needs which cannot be granted by a human consultant easily and cannot be inferred from current application log directly.

Full-Text [PDF 891 kb]   (593 Downloads)    
Type of Study: Research | Subject: Information Technology

Add your comments about this article : Your username or Email:

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.