文章基本信息

标题：Adaptive Learning Management System Using Semantic Web Technologies
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作者：M.Farida Begam ; Gopinath Ganapathy
期刊名称：International Journal on Soft Computing
电子版ISSN：2229-7103
出版年度：2013
卷号：4
期号：1
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Ontologies and semantic web services are the basics of next generation semantic web. This upcoming technologies are useful in many fields such as bioinformatics, business collaboration, Data integration and etc. E-learning is also the field in which semantic web technologies can be used to provide dynamism in learning methodologies. E-learning includes set of tasks which may be instructional design, content development, authoring, delivery, assessment, feedback and etc. that can be sequenced and composed as workflow. Web based Learning Management Systems should concentrate on how to satisfy the e-learners requirements. In this paper we have suggested the theoretical framework ALMS-Adaptive Learning management 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 Ontologies 2) Find the Learner style from the knowledge base and 3)deriving and composing the workflow depending upon the learner style. The intelligent agents are used in each module of the framework to perform reasoning and finally the personalized workflow for the e-learner has been recommended.
关键词：Learning Style; Learning Objects; workflow; web services; Semantics; Ontology; LMS; ALMS; and OWL-S