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 TypeDr GradeEmail
عدنان مصطفى البارAl Bar, Adnan MustafaResearcherDoctorateambar@kau.edu.sa

Files

File NameTypeDescription
 31745.pdf pdfEnhancing the E-Learning Process by mining its Data

Back To Researches Page