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In this paper, we present the architecture of a Web-based Intelligent Tutoring System (ITS) for distant education of nursing students in fundamental aspects of the most common medical equipment. It offers course units covering the needs of users with different knowledge levels and characteristics. It tailors the presentation of the educational material to the users' diverse needs by using AI techniques to specify each user's model as well as to make pedagogical decisions. This is achieved via an expert system that uses a hybrid knowledge representation formalism integrating symbolic rules with neurocomputing.