Abstract
User modelling within tutoring systems often concentrates on the representation of the learner's status with respect to the domain, paying little attention to the user's individual characteristics in terms of capabilities and preferences. A composite learner model, incorporating both domain related data and information about personal attributes is useful in determining not only which items should be presented, but how the student may best be able to learn them. A model of users' individual characteristics has been developed using multivariate statistical techniques as a means of generating user stereotypes from empirical data. Each stereotype has an associated profile in terms of attributes which are useful for the application in which the model is used.
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