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Adaptive Learning Management System Using Semantic Web Technologies

Keywords: Learning Style , Learning Objects , workflow , web services , Semantics , Ontology , LMS , ALMS , and OWL - S

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Abstract:

Ontologies and semantic web services are the basics of next generation semantic web. This upcomingtechnologies are useful in many fields such as bioinformatics, businesscollaboration, Data integration andetc. E-learning is also the field in which semantic web technologies can be used to provide dynamism inlearning methodologies. E-learningincludes set of tasks which may beinstructionaldesign, contentdevelopment, authoring,delivery,assessment,feedback and etc.thatcan be sequenced and composed asworkflow.Web based Learning Management Systems should concentrate on how to satisfy the e-learnersrequirements. In this paper we have suggested the theoretical framework ALMS-Adaptive Learningmanagement System which focuses on three aspects 1) Extracting the knowledge from the use's interaction,behaviour and actions and translate them into semantics which are represented as Ontologies2) Find theLearner style from the knowledge base and 3)deriving and composing the workflow depending upon thelearner style. The intelligent agents areusedin each module of the framework to perform reasoning andfinallythepersonalized workflow forthe e-learnerhas been recommended

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