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Faculty of Computing and Information Technology
Document Details
Document Type
:
Article In Conference
Document Title
:
Enhancing the E-Learning Process by mining its Data
تعزيز عملية التعليم الالكترونية عن طريق التنقيب عن البيانات الخاصة بها
Subject
:
E-Learning
Document Language
:
English
Abstract
:
Many e-learning systems have been developed and are in use around the world. Learning Content Management Systems (LCMS) store lots of data such as students' profiles and students' activities and interactions with the system, in addition to courses contents. This makes it almost impossible to manually analyze the data for valuable decision-making. This brings the need for automating the analysis of such data to reach quality decision making. There are many ways to do automated analysis on huge databanks; one of them is data-mining. By data mining the LCMS database we can get a wealth of results. In this paper we focus on how data mining techniques can enhance the overall qualities of e-learning processes. Specifically, data mining is used to predict students performance based on their usage of the system, which is saved in the system's database. Attributes of performance are selected based on their direct impact on the quality of learning process based on archived data of the previous course intakes.
Conference Name
:
Al Azhar Engineering eleventh International Conference
Duration
:
From : 1430 AH - To : 1430 AH
From : 2010 AD - To : 2010 AD
Publishing Year
:
1430 AH
2010 AD
Number Of Pages
:
0
Article Type
:
Article
Conference Place
:
Egypt
Organizing Body
:
Al Azhar Engineering eleventh International Conference
Added Date
:
Saturday, December 24, 2011
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
عدنان مصطفى البار
Al Bar, Adnan Mustafa
Researcher
Doctorate
ambar@kau.edu.sa
Files
File Name
Type
Description
31745.pdf
pdf
Enhancing the E-Learning Process by mining its Data
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