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International Journal of Trends in Computer Systems Engineering
Volume 3, issue 6, 2014
Sharma
Using Data Mining Techniques In E-learning Environment By
Anamika Sharma
Dr. Anamika Sharma, Associate Professor , DAV Institute Of Management, Faridabad
Abstract
The field of data mining and knowledge discovery has been emerging in various important applications
such as science, engineering, medicine, business, and now in education. Education today faces challenges
to better understand students and the settings which they learn in. Along with traditional learning such as
classroom and books eLearning systems are widely accepted as learning media by learner community.
eLearning systems can be traditional web based portals, Learning Management System(LMS) and
Intelligent Tutoring Systems (ITS). Various data such as navigation sequence, data related to student
learning and assessment is generated by the usage of eLearning systems. This data such as resource usage
and performance data can be mined to find some hidden patterns. The result of mining process is used to
classify, and discover homogeneous clusters of students, their learning behavior patterns and to redesign the
course contents according to student’s need. This article discusses some of data mining methods used in elearning environment.
Keywords: eLearning, Classification, Clustering, Fuzzy logic, Association Mining
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