"Yes!": Using tutor and sensor data to predict moments of delight during instructional activities

Kasia Muldner, Winslow Burleson, Kurt Vanlehn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationUser Modeling, Adaptation, and Personalization - 18th International Conference, UMAP 2010, Proceedings
Pages159-170
Number of pages12
DOIs
StatePublished - 2010
Event18th International Conference on User Modeling, Adaptation and Personalization, UMAP 2010 - Big Island, HI, United States
Duration: Jun 20 2010Jun 24 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6075 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other18th International Conference on User Modeling, Adaptation and Personalization, UMAP 2010
CountryUnited States
CityBig Island, HI
Period6/20/106/24/10

Keywords

  • empirically-based model
  • interest
  • motivation
  • sensing devices

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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