Constraints Related to the Integration of the Information and Communication Technologies for Secondary Learners in the Learning of Physical Sciences in Morocco

Q4 Computer Science
Oussama Dardary, Zineb Azar, M. Tridane, S. Belaaouad
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引用次数: 0

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
摩洛哥中学学生在物理科学学习中整合信息和通信技术的制约因素
在大学学习过程中,学生遇到了一些问题和挑战,这些问题和挑战阻碍了他们的正常课程,导致他们辍学。我们的文章将涉及对大学辍学问题的研究。本研究包括动态规划和机器学习。我们将重点讨论两种主要的方法:基于数据之间相似度概念的KNN方法和众所周知的支持向量机方法,它可以解决分类问题。我们还将使用预测分析得出实用的解决方案。这将包括应用程序做出预测与现实世界的例子从查里亚大学的学院
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来源期刊
数据采集与处理
数据采集与处理 Computer Science-Signal Processing
CiteScore
0.80
自引率
0.00%
发文量
4490
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