Similarity Based Convergence of Learning Knowledge Objects and Delivery Using Agglomerative Clustering

Abstract

E-learning today shows an exponential growth and there is a need to develop more flexible delivery processes, which will add value to the learning experiences of a student during his/her learning process. The atomic unit of any e-learning environment is a Learning Object, a reusable digital entity. These Learning Objects are stored in repositories and managed by Learning Management Systems in order to provide a better coverage of concepts to the learner. A close relative of Learning Object is the Knowledge Object which is an essential unit of a Knowledge Management System. In this research paper, a way is proposed to converge these objects together and most similar Learning Knowledge Objects delivered to a student using hierarchical clustering techniques. The learning experience is more valuable for a student especially for those with higher order thinking skills.