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Download full textSchmoelz, Alexander; Swertz, Christian; Forstner, Alexandra; Barberi, Alessandro – Science Education International, 2014
This contribution looks at the Intelligent Tutoring Interface for Technology Enhanced Learning, which integrates multistage-learning and inquiry-based learning in an adaptive e-learning system. Based on a common pedagogical ontology, adaptive e-learning systems can be enabled to recommend learning objects and activities, which follow inquiry-based…
Descriptors: Inquiry, Active Learning, Intelligent Tutoring Systems, Electronic Learning
Direct linkHsu, I-Ching – Educational Technology & Society, 2012
The concept of learning objects has been applied in the e-learning field to promote the accessibility, reusability, and interoperability of learning content. Learning Object Metadata (LOM) was developed to achieve these goals by describing learning objects in order to provide meaningful metadata. Unfortunately, the conventional LOM lacks the…
Descriptors: Electronic Learning, Metadata, Knowledge Representation, Artificial Intelligence
Engelhardt, Michael; Hildebrand, Arne; Lange, Dagmar; Schmidt, Thomas C. – Campus-Wide Information Systems, 2006
Purpose: The paper aims to introduce an educational content management system, Hypermedia Learning Objects System (hylOs), which is fully compliant to the IEEE LOM eLearning object metadata standard. Enabled through an advanced authoring toolset, hylOs allows the definition of instructional overlays of a given eLearning object mesh.…
Descriptors: Semantics, Hypermedia, Metadata, Standards
