Informing the Detection of the Students’ Motivational State: An Empirical Study
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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.
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- Informing the Detection of the Students’ Motivational State: An Empirical Study
- Book Title
- Intelligent Tutoring Systems
- Book Subtitle
- 6th International Conference, ITS 2002 Biarritz, France and San Sebastian, Spain, June 2–7, 2002 Proceedings
- pp 933-943
- Print ISBN
- Online ISBN
- Series Title
- Lecture Notes in Computer Science
- Series Volume
- Series ISSN
- Springer Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
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- Editor Affiliations
- 4. LIRMM, University of Montpellier II and CNRS
- 5. LIUPPA, IUT de Bayonne - University of Pau
- 6. Department of Information Technologies, Universidade Federal de Alagoas
- Author Affiliations
- 7. Institute for Communicating and Collaborative Systems; Division of Informatics, The University of Edinburgh, UK
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