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Cross-Cutting Support of Making and Explaining Decisions in Intelligent Tutoring Systems Using Cognitive Maps of Knowledge Diagnosis

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Intelligent Tutoring Systems (ITS 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13284))

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Abstract

The paper concerns the problem of visual support of decision-making in intelligent tutoring systems and generating natural-language explanations of these decisions. A model of interpreting a learning situation and decision making about further learning on operational, tactical, and strategic levels considered from topic, competency, and learning-goal points of view. We show a case study of learning-situation visualization of analysis and synthesis of explanatory feedback for making operational, tactical, and strategic decisions. The method was evaluated with 3 groups of graduate students; the groups that received simplified Cognitive Maps of Knowledge Diagnosis along with textual explanations demonstrated higher trust in the system’s decisions and were more likely to follow the recommendations. We conclude with recommendations for using cognitive maps of knowledge diagnosis for cross-cutting analysis of learning situations.

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Notes

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Author information

Authors and Affiliations

  1. Siberian Federal University, Zheleznogorsk, Russia

    Viktor Uglev

  2. Volgograd State Technical University, Volgograd, Russia

    Oleg Sychev

  3. St. Petersburg University, St. Petersburg, Russia

    Tatiana Gavrilova

Authors
  1. Viktor Uglev
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  2. Oleg Sychev
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  3. Tatiana Gavrilova
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Corresponding author

Correspondence to Viktor Uglev .

Editor information

Editors and Affiliations

  1. Georgia State University, Atlanta, GA, USA

    Scott Crossley

  2. University of Craiova, Craiova, Romania

    Elvira Popescu

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Uglev, V., Sychev, O., Gavrilova, T. (2022). Cross-Cutting Support of Making and Explaining Decisions in Intelligent Tutoring Systems Using Cognitive Maps of Knowledge Diagnosis. In: Crossley, S., Popescu, E. (eds) Intelligent Tutoring Systems. ITS 2022. Lecture Notes in Computer Science, vol 13284. Springer, Cham. https://doi.org/10.1007/978-3-031-09680-8_5

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  • DOI: https://doi.org/10.1007/978-3-031-09680-8_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-09679-2

  • Online ISBN: 978-3-031-09680-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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