Title :
An ontology-based framework for context-aware adaptive e-learning system
Author :
Sudhana, K.M. ; Raj, V.C. ; Suresh, R.M.
Author_Institution :
Dept. of Comput. Sci., St. Peter´´s Univ., Chennai, India
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 :
Internet; computer aided instruction; human computer interaction; ontologies (artificial intelligence); ubiquitous computing; user interfaces; Web-based e-learning environment; categorization contextual information; categorization contextual modeling; context-aware adaptive e-learning system; interdependence problem; learning material access; ontological profiles; ontology-based framework; user context identification; user context modeling; Adaptation models; Adaptive systems; Context; Context modeling; Electronic learning; Materials; Ontologies; Categorization; Context-acquisition; Context-description; Interdependence problem; adaptive e-learning; contextual-diversity; modeling; ontology-drive;
Conference_Titel :
Computer Communication and Informatics (ICCCI), 2013 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4673-2906-4
DOI :
10.1109/ICCCI.2013.6466162