Oussama Dardary, Zineb Azar, M. Tridane, S. Belaaouad
{"title":"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","authors":"Oussama Dardary, Zineb Azar, M. Tridane, S. Belaaouad","doi":"10.30534/ijatcse/2019/3981.42019","DOIUrl":null,"url":null,"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","PeriodicalId":38752,"journal":{"name":"数据采集与处理","volume":"27 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Constraints Related to the Integration of the Information and Communication Technologies for Secondary Learners in the Learning of Physical Sciences in Morocco\",\"authors\":\"Oussama Dardary, Zineb Azar, M. Tridane, S. Belaaouad\",\"doi\":\"10.30534/ijatcse/2019/3981.42019\",\"DOIUrl\":null,\"url\":null,\"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\",\"PeriodicalId\":38752,\"journal\":{\"name\":\"数据采集与处理\",\"volume\":\"27 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"数据采集与处理\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.30534/ijatcse/2019/3981.42019\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"数据采集与处理","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.30534/ijatcse/2019/3981.42019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Computer Science","Score":null,"Total":0}
Constraints Related to the Integration of the Information and Communication Technologies for Secondary Learners in the Learning of Physical Sciences in Morocco
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