Semantic Web based Personalized eLearning

eLearnering benefits the society when the content are prepared with interactive communication and customized navigation based on learners profile. The research question posed in this study is whether it is feasible and beneficial to separate the learning objects (LOs) and the learning sequence based on learner model. With this separation, the customized courses should be pedagogically appropriate and effective for the learner. Dynamic learner profile in eLearning systems is used to adapt expected learning resources and guide a learner through them. Customized sequencing and navigation in the information resources can be achieved with ease using semantic Web technology. Our research describes the study related to the investigation of personalized eLearning framework based upon dynamic learner profile using Sharable Content Object Reference Model (SCORM) and Instructional principles in semantic Web.