{"title":"An evaluation of learner clustering based on learning styles in MOOC course","authors":"Ali El Mezouary, Brahim Hmedna, Omar Baz","doi":"10.1109/ICCSRE.2019.8807503","DOIUrl":null,"url":null,"abstract":"This article presents an approach for the automatic detection of learners' learning styles from their traces when they interact with a MOOC environment. The approach in question has been evaluated in particular to identify learners' learning styles associated with the active/reflective dimension, with reference to the Felder-Silverman model (FSLSM), which is one of the most popular models in the learning technology.","PeriodicalId":360150,"journal":{"name":"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSRE.2019.8807503","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
This article presents an approach for the automatic detection of learners' learning styles from their traces when they interact with a MOOC environment. The approach in question has been evaluated in particular to identify learners' learning styles associated with the active/reflective dimension, with reference to the Felder-Silverman model (FSLSM), which is one of the most popular models in the learning technology.
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