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Time in the Adaptive Tutoring Process Model

  • Conference paper
Intelligent Tutoring Systems (ITS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 4053))

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Abstract

Formal models can be found in different computer science domains – they have the advantage to be independent of application domains and of programming languages. ITSs development is usually not based on formal models. Based on automaton theory and on formal descriptions known from modelling and simulation, the formal tutoring process model (tpm) is a formal model for ITSs. The model exists as basic tpm and as adaptive tpm. The extension of the adaptive model is described in the paper. Extended with a temporal dimension, i.e. the ’counter’, the static tpm can be used to realize another way of adaptation: the training case can be changed at runtime based on the counter values. This value can count the learner’s steps in the training case, it can be interpreted as duration, or as validity of a state.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Electrical Engineering, University of Rostock, Albert-Einstein-Str. 21, 18059, Rostock, Germany

    Alke Martens

Authors
  1. Alke Martens
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Editor information

Editors and Affiliations

  1. JAIST, 1-1, Asahi-dai, Nomi, 923-1292, Ishikawa, Japan

    Mitsuru Ikeda

  2. Learning Research and Development Center, University of Pittsburgh, Pittsburgh, PA, USA

    Kevin D. Ashley

  3. Graduate Institute of Network Learning Technology, National Central University, 300, Jhongda Rd., 32001, Jhongli City,Taoyuan County, Taiwan

    Tak-Wai Chan

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© 2006 Springer-Verlag Berlin Heidelberg

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Martens, A. (2006). Time in the Adaptive Tutoring Process Model. In: Ikeda, M., Ashley, K.D., Chan, TW. (eds) Intelligent Tutoring Systems. ITS 2006. Lecture Notes in Computer Science, vol 4053. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11774303_14

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  • DOI: https://doi.org/10.1007/11774303_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-35159-7

  • Online ISBN: 978-3-540-35160-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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