{"title":"Discovering Learners Behaviour Patterns From Log Files Using LSA","authors":"Iness Nedji Milat, H. Seridi-Bouchelaghem, A. Moudjari","doi":"10.4018/ijdet.2020040106","DOIUrl":null,"url":null,"abstract":"Recently,discoveringlearnerbehaviourhastakenmoreattentioninthefieldofe-learning.Itaims togainusefulinsightsintothelearningprocessofstudentsdespitetheabsenceofdirectinteraction withteachers.Infact,theonlyavailablesourceofinformationinsuchenvironmentsisthelogfilethat representsallpossibleinteractionsoflearnerswiththee-learningsystem.Thislogfileischaracterised bythepresenceofnoise,incompleteinformation,andahugeamountofdata.Inthisarticle,anew approachbasedonlearnertrailsanalysisfromthelogfileisproposed.Itaimstodiscoverthepatterns oftherealbehaviouroflearnersandtodeterminetheirpedagogicorientations.Thelatentsemantic analysis(LSA)methodisusedtoextracttherelationshipbetweenlearnerswhohavethesamebehaviour andtoovercomethenoiseproblem.Theproposedapproachhasbeenvalidatedusingsyntheticand genuinelogfiles.Theobtainedresultsshowtheefficiencyoftheproposedmethodofdiscovering thebehavioursoflearners. KEywoRDS EDM, Learner Action, Learner Behaviour Pattern, Log File, LSA, Pedagogic Orientation, Trails Analysis","PeriodicalId":298910,"journal":{"name":"Int. J. Distance Educ. Technol.","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Distance Educ. Technol.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijdet.2020040106","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
使用LSA从日志文件中发现学习者的行为模式
最近,discoveringlearnerbehaviourhastakenmoreattentioninthefieldofe-learning。Itaims togainusefulinsightsintothelearningprocessofstudentsdespitetheabsenceofdirectinteraction withteachers。Infact,theonlyavailablesourceofinformationinsuchenvironmentsisthelogfilethat representsallpossibleinteractionsoflearnerswiththee-learningsystem。Thislogfileischaracterised bythepresenceofnoise,incompleteinformation,andahugeamountofdata。Inthisarticle,anew approachbasedonlearnertrailsanalysisfromthelogfileisproposed。Itaimstodiscoverthepatterns oftherealbehaviouroflearnersandtodeterminetheirpedagogicorientations。Thelatentsemantic analysis_ (LSA)methodisusedtoextracttherelationshipbetweenlearnerswhohavethesamebehaviour andtoovercomethenoiseproblem。Theproposedapproachhasbeenvalidatedusingsyntheticand genuinelogfiles。Theobtainedresultsshowtheefficiencyoftheproposedmethodofdiscovering thebehavioursoflearners。关键词:EDM,学习者行动,学习者行为模式,日志文件,LSA,教学导向,轨迹分析
本文章由计算机程序翻译,如有差异,请以英文原文为准。