%0 Journal Article %1 michael2008elektra %A Kickmeier-Rust, Michael %A Albert, Dietrich %D 2008 %J Advances in Web Based Learning – ICWL 2007 %K knowledge_space_theory sota_brainwave %P 78--89 %T The ELEKTRA Ontology Model: A Learner-Centered Approach to Resource Description %U http://dx.doi.org/10.1007/978-3-540-78139-4_8 %X There is little doubt that intelligent and adaptive educational technologies are capable of providing personalized learning experiences and improving learning success. Current challenges for research and development in this field concern, for example,the design of comprehensive data models for adaptive systems as well as the interoperability of systems and the re-usabilityof learning material across different systems. In the present work we introduce an ontology model, basically developed inthe context of immersive digital games, which attempts to provide a solution to existing problems in resource description.On the one hand, comprehensive data models for adaptive systems are supported by separating static information from adaptivesystems as far as possible. On the other hand, the ontology model offers a potential solution to precise and, above all, learner-centeredresource description by separating latent competencies from observable performance (in learning objects or test items).

@article{michael2008elektra, abstract = {There is little doubt that intelligent and adaptive educational technologies are capable of providing personalized learning experiences and improving learning success. Current challenges for research and development in this field concern, for example,the design of comprehensive data models for adaptive systems as well as the interoperability of systems and the re-usabilityof learning material across different systems. In the present work we introduce an ontology model, basically developed inthe context of immersive digital games, which attempts to provide a solution to existing problems in resource description.On the one hand, comprehensive data models for adaptive systems are supported by separating static information from adaptivesystems as far as possible. On the other hand, the ontology model offers a potential solution to precise and, above all, learner-centeredresource description by separating latent competencies from observable performance (in learning objects or test items).}, added-at = {2009-09-07T15:56:46.000+0200}, author = {Kickmeier-Rust, Michael and Albert, Dietrich}, biburl = {https://www.bibsonomy.org/bibtex/2a787c7ae1e39aaff3e1879d4e2202e09/tobold}, description = {SpringerLink - Buchkapitel}, interhash = {ed0d2e1dc78005e8a52d3a5cc59dfe0b}, intrahash = {a787c7ae1e39aaff3e1879d4e2202e09}, journal = {Advances in Web Based Learning – ICWL 2007}, keywords = {knowledge_space_theory sota_brainwave}, pages = {78--89}, timestamp = {2009-09-07T15:56:47.000+0200}, title = {The ELEKTRA Ontology Model: A Learner-Centered Approach to Resource Description}, url = {http://dx.doi.org/10.1007/978-3-540-78139-4_8}, year = 2008 }