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Application of data mining techniques to regulated learning system

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3 Author(s)
Eleonora Brtka ; Technical Faculty “Mihajlo Pupin”/ Computer Sciences, Zrenjanin, Serbia ; Dragica Radosav ; Vladimir Brtka

This paper investigates some theoretical aspects of so called educational data mining, its characteristics and performances. It is well known that different Course Management Systems - CMS are widely available. They can store a vast amount of information about learners and learning objects. It is also well known that the estimation of conformity of learning objects to the learner personal profile is very important. A vast amount of data about learners and learning objects cannot be inspected manually. That is why the usage of a data mining system is necessary in order to gain information “hidden” in data bases created by CMS. The main goal of this work is to investigate some data mining techniques in order to deliver most appropriate learning object to the learner. The proposed application of educational data mining techniques is followed by a case study.

Published in:

IEEE 8th International Symposium on Intelligent Systems and Informatics

Date of Conference:

10-11 Sept. 2010