Supporting Context-Awareness and Standards Interoperability in e-Learning
This event took place on Wednesday 14 March 2007 at 11:30
Alessio Gugliotta KMi, The Open University
Current technologies aimed at supporting learning goals primarily follow a data and metadata-centric paradigm aimed at providing the learner with appropriate learning content packages containing the learning process description as well as the learning resources. Whereas process metadata is usually based on a specific standard specification? like ADL SCORM or the IMS Learning Design standard ? the used learning data is specific to specific learning contexts. The allocation of learning resources ? data or services - usually is done manually at design-time of a content package. Therefore, a content package cannot consider the actual learning context since this is only known at runtime of a package respectively the learning process. These facts limit the reusability of a specific content package across different standards and contexts. To overcome these issues, this paper describes an innovative semantic web service-based approach aimed at changing this data- and metadata-based paradigm to a context-adaptive service-oriented approach following the idea of a dynamic allocation of data and services at runtime of a specific learning process. This approach enables a dynamic adaptation to specific learner needs and objectives and supports the development of abstract semantic process models which are re-usable across different contexts and metadata standards. To illustrate the application of our approach and to prove its feasibility, a prototypical application based on an initial use case scenario is provided.
Download PDF presentation slides (zip format, 195kb)
This event took place on Wednesday 14 March 2007 at 11:30
Current technologies aimed at supporting learning goals primarily follow a data and metadata-centric paradigm aimed at providing the learner with appropriate learning content packages containing the learning process description as well as the learning resources. Whereas process metadata is usually based on a specific standard specification? like ADL SCORM or the IMS Learning Design standard ? the used learning data is specific to specific learning contexts. The allocation of learning resources ? data or services - usually is done manually at design-time of a content package. Therefore, a content package cannot consider the actual learning context since this is only known at runtime of a package respectively the learning process. These facts limit the reusability of a specific content package across different standards and contexts. To overcome these issues, this paper describes an innovative semantic web service-based approach aimed at changing this data- and metadata-based paradigm to a context-adaptive service-oriented approach following the idea of a dynamic allocation of data and services at runtime of a specific learning process. This approach enables a dynamic adaptation to specific learner needs and objectives and supports the development of abstract semantic process models which are re-usable across different contexts and metadata standards. To illustrate the application of our approach and to prove its feasibility, a prototypical application based on an initial use case scenario is provided.
Download PDF presentation slides (zip format, 195kb)
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Semantic Web and Knowledge Services is...
Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...
Our aim is to be at the forefront of both theoretical and practical developments on the Semantic Web not only by developing theories and models, but also by building concrete applications, for a variety of domains and user communities, including KMi and the Open University itself.
List all Semantic Web and Knowledge Services Projects
Check out these Hot Semantic Web and Knowledge Services Technologies:
List all Semantic Web and Knowledge Services Technologies
