Studying Model Ambiguity in a Language ITS

  • Authors:
  • Brent Martin;Amanda Nicholas

  • Affiliations:
  • Intelligent Computer Tutoring Group, Department of Computer Science and Software Engineering, University of Canterbury, Private Bag 4800, Christchurch, New Zealand;Intelligent Computer Tutoring Group, Department of Computer Science and Software Engineering, University of Canterbury, Private Bag 4800, Christchurch, New Zealand

  • Venue:
  • UM '07 Proceedings of the 11th international conference on User Modeling
  • Year:
  • 2007

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Abstract

Ambiguity is a well-known problem in student modelling, and in user modelling in general. In this paper we present the results of an experiment in the domain of German adjectives. We trialled a modified student interface that gathers more data during problem solving by requiring the student to perform a related subtask. There is evidence that the students who performed the subtask outperformed the control group on a post-test despite the extra task slowing them down, suggesting the extra effort required by the students to overcome ambiguity was worth the intervention.