文章基本信息

标题：Similarity Based Convergence of Learning Knowledge Objects and Delivery Using Agglomerative Clustering
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作者：A.Sai Sabitha, Deepti Mehrotra, Abhay Bansal
期刊名称：Journal of Information Technology and Application in Education
印刷版ISSN：2227-6459
电子版ISSN：2227-6467
出版年度：2014
期号：2349
页码：9-17
出版社：Science and Engineering Publishing Company
摘要：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.