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Understanding Student Attention to Adaptive Hints with Eye-Tracking

  • Mary Muir
  • Cristina Conati
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7138)

Abstract

Prime Climb is an educational game that provides individualized support for learning number factorization skills. This support is delivered by a pedagogical agent in the form of hints based on a model of student learning. Previous studies with Prime Climb indicated that students may not always be paying attentions to the hints, even when they are justified. In this paper we discuss preliminary work on using eye tracking data on user attention patterns to better understand if and how students process the agent’s personalized hints, with the long term goal of making hint delivery more effective.

Keywords

Adaptive help educational games pedagogical agents eye-tracking 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Mary Muir
    • 1
  • Cristina Conati
    • 1
  1. 1.Department of Computer ScienceUniversity of British ColumbiaCanada

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