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Explanatory Didactic Dialogue in the Intelligent Tutoring Systems Based on the Cross-Cutting Approach

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Augmented Intelligence and Intelligent Tutoring Systems (ITS 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13891))

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Abstract

The paper deals with the problem of developing a dialogue in the interaction of a learner and Intelligent Tutoring Systems. We demonstrate the approach to synthesizing the text of a didactic dialogue on the example of using the cross-cutting approach to decision-making support by a tutoring system planner. The parametric mapping method is used for this purpose. The maps are used not only for synthesizing the explanatory text of a didactic dialogue, but also for visual representation of a learning situation in the Cognitive Maps of Knowledge Diagnosis notation. We demonstrate the process of entering a didactic dialogue and transition between dialogue forms on the example of a graduate student (course “Simulation Modeling”). The study has shown the interest of the students in receiving explanations of the ITS decisions, including both textual and visual presentation of arguments.

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Authors and Affiliations

  1. Siberian Federal University, Zheleznogorsk, Russia

    Viktor Uglev

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  1. Viktor Uglev
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Correspondence to Viktor Uglev .

Editor information

Editors and Affiliations

  1. University of Montreal, Montreal, Canada

    Claude Frasson

  2. University of West Attica, Athens, Greece

    Phivos Mylonas

  3. University of West Attica, Athens, Greece

    Christos Troussas

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Uglev, V. (2023). Explanatory Didactic Dialogue in the Intelligent Tutoring Systems Based on the Cross-Cutting Approach. In: Frasson, C., Mylonas, P., Troussas, C. (eds) Augmented Intelligence and Intelligent Tutoring Systems. ITS 2023. Lecture Notes in Computer Science, vol 13891. Springer, Cham. https://doi.org/10.1007/978-3-031-32883-1_34

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  • DOI: https://doi.org/10.1007/978-3-031-32883-1_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-32882-4

  • Online ISBN: 978-3-031-32883-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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