“Yes!”: Using Tutor and Sensor Data to Predict Moments of Delight during Instructional Activities

  • Kasia Muldner
  • Winslow Burleson
  • Kurt VanLehn
Conference paper

DOI: 10.1007/978-3-642-13470-8_16

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6075)
Cite this paper as:
Muldner K., Burleson W., VanLehn K. (2010) “Yes!”: Using Tutor and Sensor Data to Predict Moments of Delight during Instructional Activities. In: De Bra P., Kobsa A., Chin D. (eds) User Modeling, Adaptation, and Personalization. UMAP 2010. Lecture Notes in Computer Science, vol 6075. Springer, Berlin, Heidelberg

Abstract

A long standing challenge for intelligent tutoring system (ITS) designers and educators alike is how to encourage students to take pleasure and interest in learning activities. In this paper, we present findings from a user study involving students interacting with an ITS, focusing on when students express excitement, what we dub “yes!” moments. These findings include an empirically-based user model that relies on both interaction and physiological sensor features to predict “yes!” events; here we describe this model, its validation, and initial indicators of its importance for understanding and fostering student interest.

Keywords

interest motivation empirically-based model sensing devices 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Kasia Muldner
    • 1
  • Winslow Burleson
    • 1
  • Kurt VanLehn
    • 1
  1. 1.Arizona State University 

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