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International Journal of Information and Communication Technology Research (IJICT، جلد ۳، شماره ۱، صفحات ۶۷-۷۲
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی Improving the Performance of E-Learning Systems Using Extracted Web Server Log File Suggestions
چکیده انگلیسی مقاله 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.
کلیدواژه‌های انگلیسی مقاله E-Learning systems, Web server log data, Data mining
نویسندگان مقاله | Sadegh Sulaimany


| Behrooz Maghsoudi


| Ali Amiri


نشانی اینترنتی http://ijict.itrc.ac.ir/browse.php?a_code=A-10-27-198&slc_lang=fa&sid=1
فایل مقاله اشکال در دسترسی به فایل - ./files/site1/rds_journals/417/article-417-1212501.pdf
کد مقاله (doi)
زبان مقاله منتشر شده fa
موضوعات مقاله منتشر شده فناوری اطلاعات
نوع مقاله منتشر شده پژوهشی
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