Abstract
Students are given a set of prescribed learning objects within a domain area in a technology supported learning environment. Learning to be effective, the content should address the needs of students with various learning styles, promote adoption of a deep approach to learning, and help students to reach a higher level of intellectual gain. The current learning environment provides an opportunity for standardization of learning objects which can be reused, recombined and adapted through the use of LOs. The quality of the learning content delivered to a user also plays an important role and determination of such quality Learning Objects (LO) involves complex processes. An added knowledge to the existing LO can surely benefit the user in many ways and can improve the quality of an object. Metadata plays a bigger role in the delivery of Learning Objects based on user queries and many metadata standards exist which helps in retrieval of these LOs. A method is proposed to tag a new extended metadata called Knowledge Object (KO) of Knowledge Management System (KMS) with LOs. The LOs and KOs can automatically be classified using data mining approaches. K-nearest neighbour approach is used to find the closest KOs to a particular LOs These KOs are considered as extended metadata to fetch a Knowledge Enabled Learning Object as a specialized Knowledge Content to users; thereby the quality of an object in a learning environment is improved.
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