JOURNAL ARTICLE

An ontology-based framework for context-aware adaptive e-learning system

Abstract

In web-based e-learning environment every learner has a distinct background, learning style and a specific goal when searching for learning material on the web. The goal of personalization is to tailor search results to a particular user based on that user's contextual information. The effectiveness of accessing learning material involves two important challenges: identifying the user context and modeling the user context as ontological profiles. This work describes the ontology-based framework for context-aware adaptive learning system, with detailed discussions on the categorization contextual information and modeling along with the use of ontology to explicitly specify learner context in an e-learning environment. Finally we conclude by showing the applicability of the proposed ontology with appropriate architectural overview of e-learning system.

Keywords:
Computer science Ontology Personalization Context (archaeology) Categorization Context model World Wide Web Semantic Web User modeling Human–computer interaction Information retrieval Artificial intelligence User interface

Metrics

30
Cited By
10.62
FWCI (Field Weighted Citation Impact)
14
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Mobile Learning in Education
Physical Sciences →  Computer Science →  Information Systems
Energy Efficiency in Computing
Physical Sciences →  Computer Science →  Hardware and Architecture
Context-Aware Activity Recognition Systems
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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