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Informing the Detection of the Students’ Motivational State: An Empirical Study

Part of the Lecture Notes in Computer Science book series (LNCS,volume 2363)

Abstract

The ability to detect the students’ motivational state during an instructional interaction can bring many benefits to the performance of an Intelligent Tutoring System (ITS). In this paper we present an empirical study which provided us with a considerable amount of knowledge regarding motivation diagnosis. We show how this knowledge was formalised in order to create a set of motivation diagnosis rules that can be incorporated into a prototype tutoring system. We also briefly present how these motivation diagnosis rules were evaluated in another study.

Keywords

  • Inference Rule
  • Teaching Material
  • Motivational State
  • Intelligent Tutoring System
  • Instructional System

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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  • DOI: 10.1007/3-540-47987-2_93
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© 2002 Springer-Verlag Berlin Heidelberg

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de Vicente, A., Pain, H. (2002). Informing the Detection of the Students’ Motivational State: An Empirical Study. In: Cerri, S.A., Gouardères, G., Paraguaçu, F. (eds) Intelligent Tutoring Systems. ITS 2002. Lecture Notes in Computer Science, vol 2363. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47987-2_93

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  • DOI: https://doi.org/10.1007/3-540-47987-2_93

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43750-5

  • Online ISBN: 978-3-540-47987-1

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