Adaptive Learning Management System Using Semantic Web Technologies

Abstract

Ontologies and semantic web services are the basics of the next-generation semantic web. These 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 a 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-learner's 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 user's interaction, behavior, and actions and translating them into semantics which is 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.