New Weighted Clustering Approach to Map and Prioritise Learning Knowledge Objects towards Learning Approaches

Authors

  • Sai Sabitha Amity University Uttar Pradesh
  • Deepti Mehrotra amity university uttar pradesh
  • Abhay Bansal AMITY UNIVERSITY UP

DOI:

https://doi.org/10.3991/ijet.v11i06.5318

Keywords:

Deep Learning, K-Mean, Knowledge Objects, Learning Approaches, Learning Object, Metadata,

Abstract


To have a unique learning experience and a high learning impact, diverse courses should be incorporated in e-Learning. Learning Management System, a tool in e-Learning manages and delivers content to users. Learning Objects (LO), the course content is the fundamental unit of Learning Management System. Knowledge Object of Knowledge Management System can also be a viable resource in technology supported learning. A learning scenario for a given learner has to be identified. The course content (LO) has to match their learning skills. Data mining techniques can be widely used to find similar objects and K-Mean clustering technique can be used to produce more consistent clusters. The clusters can have strong and similar concepts of Learning Knowledge Objects. A new algorithm, a weighted cosine distance that gives real-valued distances between instances which further modifies the structure of the feature space is used for prioritising objects in clusters. These objects can be further mapped to learning approaches of the users. An experiment is conducted by using Learning and Knowledge Objects to understand the effectiveness of the weighted measure, thereby a personalized holistic learning environment is provided to the learners.

Author Biographies

Sai Sabitha, Amity University Uttar Pradesh

Associate Prof Dept of CSE Amity School of Engineering & Technology Amity University

Deepti Mehrotra, amity university uttar pradesh

Professor Dept of Information and technology Amity School of Engineering & Technology amity university

Abhay Bansal, AMITY UNIVERSITY UP

Joint Acting Head, Amity School of Engineering & Technology Director, International Collaboration for Engineering & Technology Head, Department of Computer Science & Engineering Amity School of Engineering & Technology AMITY UNIVERSITY UP

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Published

2016-06-27

How to Cite

Sabitha, S., Mehrotra, D., & Bansal, A. (2016). New Weighted Clustering Approach to Map and Prioritise Learning Knowledge Objects towards Learning Approaches. International Journal of Emerging Technologies in Learning (iJET), 11(06), pp. 28–34. https://doi.org/10.3991/ijet.v11i06.5318

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Section

Papers