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Application of Semantic Web Concepts to Intelligent Tutoring Systems

The application of concepts of Semantic Web to Intelligent Tutoring directs towards Adaptive Educational Hypermedia Systems (AEHS). AEHS contains a document space (i.e. domain ontology), a user model (i.e. a student model ontology), a set of observations (i.e. the logic through which students’ interaction with the system can be observed), and the adaptation component (i.e. suggested hyperlinks or even feedback to the student about what the student knows and still needs to learn). Reusability and interoperability offered through resource description framework (RDF) and ontology increase the scalability of the potential use of Intelligent Tutoring Systems (ITS). There are several research papers which discuss the benefits of the use of Semantic Web concepts for user modeling in Intelligent Tutoring Systems. There is a lot of research going on in the AI-ED community regarding enhancing intelligence in the ITS. There are some ITS and authoring systems in which Semantic Web concepts are used. In this paper the basic literature on ITS, AEHS and AI-ED is reviewed. Also, the basic concepts of Semantic Web are reviewed and its connection with research in all the above fields is examined. It is found that the combined use of research insights received from all the three fields, together with Semantic Web technology and AI techniques, would enhance intelligence for tutoring systems on the Web. This provides a basis for further research in the field of Intelligent Tutoring aimed at enhancing the intelligence of the systems.