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

• Published in: 2013 International Conference on Computer Communication and Informatics pp. 1 - 6
• Main Authors: Sudhana, K. M., Raj, V. C., Suresh, R. M.
• Format: Conference Proceeding Journal Article
• Language: English
• Published: IEEE 01.01.2013
• Subjects: Adaptation models; adaptive e-learning; Adaptive systems; Categorization; Conferences; Context; Context modeling; Context-acquisition; Context-description; contextual-diversity; Distance education; Distance learning; Electronic learning; Interdependence problem; Knowledge representation; Learning; Materials; Mathematical models; modeling; Ontologies; ontology-drive; Searching
• ISBN: 1467329061; 9781467329064
• DOI: 10.1109/ICCCI.2013.6466162

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.