International Journal of Emerging Technologies in Learning (iJET) · 2010 · 22 citations · 13 references
E-learningLearning Information SystemEducational InformaticsEducationOnline LearningSemantic WebWeb/e-learning 3.0Intelligent Tutoring SystemLearning Management SystemIntelligent Tutoring SystemsDigital Learning EnvironmentInformation RetrievalQuality Educational ContentsKnowledge Management AbilitiesMetadata ManagementLearning ObjectLearning AnalyticsOnline Course DevelopmentKnowledge ManagementLearning Management Systems
AHKME e-learning system main aim is to provide a modular and extensible system with adaptive and knowledge management abilities for students and teachers. This system is based on the IMS specifications representing information through metadata, granting semantics to all contents in it, giving them meaning. Metadata is used to satisfy requirements like reusability, interoperability and multipurpose. The system provides authoring tools to define learning methods with adaptive characteristics, and tools to create courses allowing users with different roles, promoting several types of collaborative and group learning. It is also endowed with tools to retrieve, import and evaluate learning objects based on metadata, where students can use quality educational contents fitting their characteristics, and teachers have the possibility of using quality educational contents to structure their courses. The metadata management and evaluation play an important role in order to get the best results in the teaching/learning process.
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Tim Berners‐Lee, James Hendler, Ora Lassila · Scientific American · 2001 · 8.4K citations
Data Integration, Semantic Web Technique, Semantic Web Data +3
Draft Standard for Learning Object Metadata
Ian Kegel, Roger Lange, John Manion et al. · 2002 · 843 citations
Certification Marks, Information Retrieval, Metadata Management +14
The Dublin Core Metadata Initiative
Stuart Weibel, Traugott Koch · D-Lib Magazine · 2000 · 286 citations · Full text