Automatic Personalization of Learning Scenarios Using SVM

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 rdquoWekardquo. The test results showed an attractive performance. The values of the classification rate, the precision and the recall are very acceptable.