Development of a model of user attributes and its implementation within an adaptive tutoring system

  • Milne S
  • Shiu E
  • Cook J
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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.
This paper describes the development of the model of learner attributes
and its use within an adaptive tutoring system. The representation of
the domain related information was in this case a basic overlay model.
The results of experiments using the system with two classes of students
in two successive academic years are discussed. The possibilities for
application of the user model in other areas and the potential effects
of combining an attribute learner model of this type with more
sophisticated domain models are considered.

Author-supplied keywords

  • Adaptive tutoring
  • Individual characteristics
  • Learner attributes
  • Learner model
  • Multivariate statistics
  • User stereotypes

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Authors

  • Sue Milne

  • Edward Shiu

  • Jean Cook

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