A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit <a rel="external noopener" href="http://www.qou.edu/arabic/researchProgram/eLearningResearchs/anIntelligent.pdf">the original URL</a>. The file type is <code>application/pdf</code>.
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3d3ijtjywvforncbqhjzukgutm" style="color: black;">British Journal of Educational Technology</a>
Weihong Huang is a senior lecturer with Kingston University London, UK. Weihong's recent research focuses on semantic context-aware computing and its application in multimedia and knowledge management towards the Semantic Web. David Webster and Dawn Wood are PhD students at the University of Hull. Tanko Ishaya is a lecturer with the Centre for Internet Computing, the University of Hull, UK. His research focuses on the use of ontologies and agents for personalised e-learning services. Abstract<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1111/j.1467-8535.2006.00610.x">doi:10.1111/j.1467-8535.2006.00610.x</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/shlhzqj2ojhxlgkaoeg3dt2twi">fatcat:shlhzqj2ojhxlgkaoeg3dt2twi</a> </span>
more »... cent developments of e-learning specifications such as Learning Object Metadata (LOM), Sharable Content Object Reference Model (SCORM), Learning Design and other pedagogy research in semantic e-learning have shown a trend of applying innovative computational techniques, especially Semantic Web technologies, to promote existing content-focused learning services to semantic-aware and personalised learning services. To facilitate this transforming process, this paper presents a novel context-aware semantic elearning approach to integrate content provision, learning process and learner personality in an integrated semantic e-learning framework. As the basis of the computational framework, a scalable and extensible generic context model is proposed to structure the semantics of contextual relations and concepts in various contexts, such as learning content description, learning model, knowledge object representation and learner personality. Corresponding technical and pedagogical developments of this framework also consider compatibility issues with existing technologies (eg, XML/Resource Description Framework) and specifications (eg, IEEE LOM) in order to achieve the best interoperability.
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170811040119/http://www.qou.edu/arabic/researchProgram/eLearningResearchs/anIntelligent.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d7/a4/d7a4b716b480c4fb57036c4577d2a3cb2590657d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1111/j.1467-8535.2006.00610.x"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>