Dynamic Contextual eLearning - Dynamic Content Discovery, Capture and Learning Object Generation from Open Corpus Sources
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Lawless, S., Wade, V. & Conlan, O. (2005). Dynamic Contextual eLearning - Dynamic Content Discovery, Capture and Learning Object Generation from Open Corpus Sources. In G. Richards (Ed.), Proceedings of World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2005 (pp. 2158-2165). Chesapeake, VA: AACE.
Retrieved from http://www.editlib.org/p/21517.
World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (ELEARN) 2005
E-Learn 2005--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education
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Table of Contents
Adaptive Web Systems are seen as one of the main ways in which tailored learning experiences may be provided to individuals. However, such systems are restricted by the fact that they are reliant on content that has been specifically developed for each system. There are many sources of open corpus content available, the primary examples of which are the Worldwide Web and Open Corpus digital content repositories. However, the nature of this material is either inherently unstructured or lacks consistency in its structuring. These structural inconsistencies are both semantic, relating to the vocabulary/ontology used, and syntactic, relating to the metadata standards implemented. It is possible to facilitate personalized eLearning across a broad range of resources by leveraging such resources in an adaptive way. This paper seeks to explore the issues and challenges encountered in the sourcing, harvesting and provision of such open corpus content for Adaptive Hypermedia Systems.
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