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Juhi Agarwal, KamalPreet Singh

Published in: International Journal of Current Engineering And Scientific Research ( IJCESR)
Volume- 4, Issue-11, pp.52-57, Nov 2017
DPI :-> 16.10046.IJCESR.2017.V4I11.5257.2187

An adaptive e-learning system provides specific learning content to the specific learner according to their knowledge level, preferences, Prerequisite knowledge and learning style. Individualization is very important to improve learning experiences. The aim of e-learning is to improve the learner’s learning and performance levels during online learning. Each student may have different learning styles, preferences and knowledge levels. This is the reason why there is the need for adaptability of learning environment. The adaptive intelligent system helps students to achieve their learning goals effectively. So, there is an aim to provide education to students or learners in different places around the whole world at any time, where no teacher is available for face-to-face help. In this, Semantic Web technologies can also used to have changed the direction of Elearning systems from task-based approaches to knowledge-intensive ones. Semantic web overcome limitations of the current web. In this paper we have suggested new strategies for constructing Adapting system in elearning using the semantic web where we can search the content according to individual learner. In paper we have proposed architecture, data flow diagram and algorithms to fulfill the individual needs. Using semantic search, it can improve the process of searching .It analyzes the learners model with the help of ontology. After the implementation of this e-learning system, the learner will get a new positive educational experience.

Key-Words / Index Term
Adaptive learning, semantic web, e-Learning.

How to cite this article
Juhi Agarwal, KamalPreet Singh , “SPREADING KNOWLEDGE BEYOND THE CLASSES: ADAPTIVE E-LEARNING USING SEMANTIC WEB TECHNOLOGY”, International Journal of Current Engineering And Scientific Research ( IJCESR), 4, Issue-11, pp.52-57, Nov 2017. DPI:16.10046.IJCESR.V4.I11.2187