October 18, 2018
Sadegh Sulaimany

Sadegh Sulaimany

Academic rank: Assistant professor
Address: Room 102 Computer Engineering Group Engineering Dept.
Education: PhD. in Bioinformatics
Phone: 08733627722 (داخلی 3336)
Faculty: Faculty of Engineering


Improving the Performance of E-Learning Systems Using Extracted Web Server Log File Suggestions
Type Article
Data Mining, Web Server Log data, E-Learning Systems
Journal International Journal of Information & Communication Technology
Researchers Sadegh Sulaimany، Behrooz Magsodi، Ali amiri


There are various fortunes to improve E-Learning web applications regard to continuing challenges like their lack of interaction between teachers and students and structural evaluation of the presented learning activity. In this paper we gather E-Learning system web server log data and some information about its control panel first, and then we preprocess gathered data. After extracting association rules form such data and selecting results with more confidence coefficient we use them as virtual consultant for E-Learning system improvement. Our database for storing and extracting patterns is MySQL and extracting association rules with more confidence coefficient has been done by Weka Software. Selected E-Learning web application is Moodle and our virtual university case study is Iran University of Science and Technology. Results show proposes which is not accessible via human consultant and cannot be inferred from current application log directly.