Predictors and outcomes of gaming in an intelligent tutoring system

Chad Peters, Ivon Arroyo, Winslow Burleson, Beverly Woolf, Kasia Muldner

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

Abstract

In the present paper we present analysis of gaming actions with MathSpring, an established ITS for mathematics for high school students. Our findings indicate that both student and problem features were similarly predictive of gaming behaviors, as well as that gaming was associated with lower excitement and lower learning gains.

Original languageEnglish (US)
Title of host publicationIntelligent Tutoring Systems - 14th International Conference, ITS 2018, Proceedings
EditorsJulita Vassileva, Roger Nkambou, Roger Azevedo
PublisherSpringer Verlag
Pages366-372
Number of pages7
ISBN (Print)9783319914633
DOIs
StatePublished - 2018
Event14th International Conference on Intelligent Tutoring Systems, ITS 2018 - Montreal, Canada
Duration: Jun 11 2018Jun 15 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10858 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other14th International Conference on Intelligent Tutoring Systems, ITS 2018
Country/TerritoryCanada
CityMontreal
Period6/11/186/15/18

Keywords

  • Affect
  • Gaming
  • Intelligent tutoring system
  • Outcomes
  • Predictors

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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