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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/15462

Title: Automatic personalization of learning scenarios using SVM
Authors: Ouraiba A.
Chikh A.
Taleb A.
Issue Date: 2009
Abstract: This paper describes a proposition for constructing an automatic personalization system based on SVM (Support Vector Machine) method. Our approach helps the learning units designers to select automatically the learning scenarios adapted to learners. In our experimentation, we have used a database that contains information about computer science engineering students of the Tlemcen university and descriptions of learning scenarios. We have implemented our SVM classifier using the open environment ”Weka”. The test results showed an attractive performance. The values of the classification rate, the precision and the recall are very acceptable.
URI: http://hdl.handle.net/123456789/15462
Appears in Collections:College of Computer and Information Sciences

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