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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Muir, M., Conati, C. (2012). Understanding Student Attention to Adaptive Hints with Eye-Tracking. In: Ardissono, L., Kuflik, T. (eds) Advances in User Modeling. UMAP 2011. Lecture Notes in Computer Science, vol 7138. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28509-7_15
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DOI: https://doi.org/10.1007/978-3-642-28509-7_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28508-0
Online ISBN: 978-3-642-28509-7
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