Iness Nedji Milat, H. Seridi-Bouchelaghem, A. Moudjari
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引用次数: 1
Discovering Learners Behaviour Patterns From Log Files Using LSA
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