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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)

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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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Notes

  1. 1.

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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 .

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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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  • Online ISBN: 978-3-031-32883-1

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