Abstract

e-Learning industry is rapidly changing and the current learning trends are based on personalized, social and mobile learning, content reusability, cloud-based and talent management. The learning systems have attained a significant growth catering to the needs of a wide range of learners, having different approaches and styles of learning. Objects delivered by these systems should provide a variety of learning content to satisfy different learners and should also have a pedagogical value than simple course content to empower learning. The Knowledge Objects of Knowledge Management Systems can be combined and delivered with existing Learning Objects of Learning Management System to provide better and more holistic user experience. Choosing a suitable object in accordance with learner category is a complex task. The paper encompasses data mining approach, fuzzy clustering technique to combine Learning and Knowledge objects based on attributes of metadata. These objects are further mapped with various learning styles and an appropriate set of objects are delivered to the learners. Thus, a personalized and more authentic learning experience is achieved emphasizing the content reusability.

Citation

Sabitha, A.S., Mehrotra, D. & Bansal, A. (2016). Delivery of Learning Knowledge Objects Using Fuzzy Clustering. Education and Information Technologies, 21(5), 1329-1349. Retrieved May 28, 2023 from https://www.learntechlib.org/p/175905/.

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Keywords

• Cognitive Style
• Course Content
• electronic learning
• Integrated Learning Systems
• knowledge management
• Learning Experience
• metadata
• multivariate analysis