Constraints Related to the Integration of the Information and Communication Technologies for Secondary Learners in the Learning of Physical Sciences in Morocco
Oussama Dardary, Zineb Azar, M. Tridane, S. Belaaouad
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Abstract
ABSTRACT During their university studies, students encounter several problems and challenges which hinder their normal courses and which leads to dropping-out. Our article will be dealing with a study of the problem of dropping-out at university. This study includes dynamic programming along with machine learning. We will focus on two main methods which are KNN, which based on the notion of similarity between data and the well-known method SVM, which can crack the problems of classification. We will also derive practical solutions using predictive analytics. And this would include application making predictions with real world example from University of Faculty of Chariaa of
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