Abstract
This research describes an approach for design and development of Intelligent Tutoring Systems under the Semantic Web perspective, considering aspects of both effectiveness and large scale. It deals with a clearly interdisciplinary theme which combines characteristics of Artificial Intelligence, Semantic Web and Software Engineering, applied to this kind of educational system. Thus, this work proposes a study for the rapid development of Intelligent Tutoring Systems as part of Virtual Learning Environments for presencial or distance education, taking into account characteristics such as reuse and large scale development. In this sense, an assessment of the adequateness of current ITS approaches has been done, as well as the definition of an architecture containing the Intelligent Tutoring Systems essential components. The proposed architecture has been used to specify a product line that takes into consideration (i) the different user profiles, (ii) the nonpossession of advanced computing knowledge by the users (iii) the heterogeneity of knowledge domains that kind of systems will handle and (v) the constant change and evolution of the knowledge manipulated of this kind of systems. This way, satisfying the four mentioned considerations, a software product line based on the Semantic Web was developed and tested. The experiments carried out to evaluate the proposed approach, in two different domains, demonstrating its is effectivenees in terms of large scale, adaptivity and evolution.
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