{"title":"How can learning analytics techniques improve the Learning Process ? An overview","authors":"K. Hamdane, A. E. Mhouti, M. Massar","doi":"10.1109/IRASET52964.2022.9738003","DOIUrl":null,"url":null,"abstract":"Learning Analytics has a significant impact on the learning and teaching processes. These can be improved by exploiting the already available data extracted from the activity of the students at the distance learning platforms. This work gives an overview of Learning Analytics and presents their objectives and some illustrative examples of their potential contributions to the better understanding of learning. We provide a framework for analyzing learning based on following dimensions: descriptive, diagnostic, predictive and prescriptive, suggesting how the factors might be applied in an e-learning context. It is therefore necessary to involve the learners and understand how to support and help participants who are at risk of dropping out of the course.","PeriodicalId":377115,"journal":{"name":"2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRASET52964.2022.9738003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Learning Analytics has a significant impact on the learning and teaching processes. These can be improved by exploiting the already available data extracted from the activity of the students at the distance learning platforms. This work gives an overview of Learning Analytics and presents their objectives and some illustrative examples of their potential contributions to the better understanding of learning. We provide a framework for analyzing learning based on following dimensions: descriptive, diagnostic, predictive and prescriptive, suggesting how the factors might be applied in an e-learning context. It is therefore necessary to involve the learners and understand how to support and help participants who are at risk of dropping out of the course.