Jallal Talaghzi, Abdellah Bennane, M. Himmi, M. Bellafkih, Aziza Benomar
{"title":"Online Adaptive Learning: A Review of Literature","authors":"Jallal Talaghzi, Abdellah Bennane, M. Himmi, M. Bellafkih, Aziza Benomar","doi":"10.1145/3419604.3419759","DOIUrl":null,"url":null,"abstract":"In recent years, most e-learning platforms include tools that adapt learning materials to learners in order to offer them personalized learning content. Researchers around the world have worked on this topic to find solutions that help teachers to create pedagogical content and learning object that are tailored to each learner's skills, abilities, and preferences. The purpose of this study is to review the literature of works and publications on adaptive learning in E-learning platforms. More specifically, we have dealt with a set of questions relating to the adapted object, the adaptation criteria, the adaptation parameters and the adaptation methods / algorithms in online learning platforms. moreover, this study will allow us to statistically define the promising research areas in online adaptive learning and to present a vision on the use of adaptation criteria.","PeriodicalId":250715,"journal":{"name":"Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"37","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3419604.3419759","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 37
Abstract
In recent years, most e-learning platforms include tools that adapt learning materials to learners in order to offer them personalized learning content. Researchers around the world have worked on this topic to find solutions that help teachers to create pedagogical content and learning object that are tailored to each learner's skills, abilities, and preferences. The purpose of this study is to review the literature of works and publications on adaptive learning in E-learning platforms. More specifically, we have dealt with a set of questions relating to the adapted object, the adaptation criteria, the adaptation parameters and the adaptation methods / algorithms in online learning platforms. moreover, this study will allow us to statistically define the promising research areas in online adaptive learning and to present a vision on the use of adaptation criteria.