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

Описание

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: 18th International Conference on Intelligent Tutoring Systems, ITS 2022

Год издания: 2022

Идентификатор DOI: 10.1007/978-3-031-09680-8_5

Ключевые слова: cognitive maps of knowledge diagnosis, cognitive visualization, decision making, digital learning footprint, explanation of decisions, intelligent tutoring systems

Аннотация: 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, competencyПоказать полностью, 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. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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Издание

Журнал: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Выпуск журнала: Vol. 13284 LNCS

Номера страниц: 51-64

ISSN журнала: 03029743

Издатель: Springer Science and Business Media Deutschland GmbH

Персоны

  • Uglev V. (Siberian Federal University, Zheleznogorsk, Russian Federation)
  • Sychev O. (Volgograd State Technical University, Volgograd, Russian Federation)
  • Gavrilova T. (St. Petersburg University, St. Petersburg, Russian Federation)

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