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An analysis of gaming behaviors in an intelligent tutoring system

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

Abstract

We present results from an analysis of students' shallow behaviors, i.e., gaming, during their interaction with an Intelligent Tutoring System (ITS). The analysis is based on six college classes using the Andes ITS for homework and test preparation. Our findings show that student features are a better predictor of gaming than problem features, and that individual differences between students impact where and how students game.

Original languageEnglish (US)
Title of host publicationIntelligent Tutoring Systems - 10th International Conference, ITS 2010, Proceedings
PublisherSpringer-Verlag
Pages184-193
Number of pages10
EditionPART 1
ISBN (Print)3642133878, 9783642133879
DOIs
StatePublished - 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume6094 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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