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Improving Student Models by Reasoning about Cognitive Ability, Emotions and Gender

  • Ivon Arroyo
  • Beverly Park Woolf
Conference paper
  • 688 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2109)

Abstract

We explore how cognitive, socio-biological and emotional conditions of the student help predict behavior within an ITS, and how instruction should be adapted depending on these variables to improve educational outcomes. Cognitive, social and emotional factors tend to be more permanent in nature than student’s knowledge. Our approach is to diagnose them with pre-tests before the user starts using the system.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Ivon Arroyo
    • 1
    • 2
  • Beverly Park Woolf
    • 1
    • 2
  1. 1.Department of Computer ScienceUniversity of MassachusettsAmherst
  2. 2.School of EducationUniversity of MassachusettsAmherst

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