We propose a Web tutoring system in which Artificial Intelligence techniques and Semantic Web approaches are integrated in order to provide an automatic tool able both to completely customize learning on the student’s needs and to exchange learning material with other Web systems. IWT (Intelligent Web Teacher) is based on an ad hoc knowledge representation which describes the didactic domain by means of an Ontology. The student can select the concepts belonging to the Ontology she/he is interested in which. The system planning mechanism builds the most suitable Learning Path for that student.
An Intelligent Web Teacher System for Learning Personalization and Semantic Web Compatibility / Capuano, N.; M., Gaeta; Micarelli, A.; Sangineto, E.. - art 8:(2003), pp. 1-6. (Intervento presentato al convegno Eleventh International PEG Conference, St. Petersburg, Russia tenutosi a San Pietroburgo, Russia nel 28 June – 1st July, 2003).
An Intelligent Web Teacher System for Learning Personalization and Semantic Web Compatibility
E. SANGINETO
2003
Abstract
We propose a Web tutoring system in which Artificial Intelligence techniques and Semantic Web approaches are integrated in order to provide an automatic tool able both to completely customize learning on the student’s needs and to exchange learning material with other Web systems. IWT (Intelligent Web Teacher) is based on an ad hoc knowledge representation which describes the didactic domain by means of an Ontology. The student can select the concepts belonging to the Ontology she/he is interested in which. The system planning mechanism builds the most suitable Learning Path for that student.
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