Knowledge Enriched Learning by Converging Knowledge Object & Learning Object

The most important dimension of learning is the content, and a Learning Management System (LMS) suffices this to a certain extent. The present day LMS are designed to primarily address issues like ease of use, search, content and performance. Many surveys had been conducted to identify the essential features required for the improvement of LMS, which includes flexibility and a user centric approach. These features can suffice the need of all learners, when they have different learning requirements. For a true learning, knowledge should also be delivered along with the domain information. There is a need to design an architecture for user centric Knowledge Driven Learning Management System (KDLM). Thus, for holistic learning, knowledge enriched teaching skills are required, which can enhance and increase the thinking skills of the learner to a higher level. The current LMS needs an improvement in the direction of knowledge discovery, exploration so that knowledge enriched learning can be provided to the learner. It can be based on knowledge engineering principles like ontology, semantic relationship between objects, cognitive approach and data mining techniques. In this paper, we are proposing an idea of an enhanced Learning Object (LO) called Knowledge Driven Learning Object (KDLO), which can be delivered to the user for better learning. We had used a data mining approach, classification to harness, exploit and classify these objects according to their metadata, thereby strengthening the content of objects delivered through the LMS.