Knowledge Representation in Personalized Elearning
Authors
H. Srimathi, Dr. S.K. Srivatsa
Category
IT and Computing
Abstract
Adaptation is so natural, on the fly for teaching by humans, but it is a challenging issue of distance education. E-learners can experience the best learning when the web based material provides interactive communication; and information presented in a different ways with the control over learning. Knowledge about a user inferred from user interactions with the Elearning systems is used to adapt offered learning resources and guide a learner through them. Reasoning on the knowledge can be applied to adapt access, presentation, and navigation in the information resources. Semantic web technologies allow to link information of learning objects thus moving from document centric idea of current web to more fine grained semantic structures. The study is made on the derived Instructional Design Template for further incorporation with the SCORM model which has shifted the course delivery from simple presentation to learning objects. The knowledge items (learning objects) are linked to commonly agreed ontology. This enables construction of a user-specific course, by semantic querying for topics of interest. The paper highlights the work carried on designing architecture of Elearning portal with the personalization using ontology.
