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A cross-cuttingapproach to analysisof the learningsituation in ITSusing a mappingmechanism Uglev ViktorSmirnov Georgy2023 год

A cross-cutting approach to analysis of the learning situation in ITS using a mapping mechanism
статья из журнала

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База данных: Каталог библиотеки СФУ
Библиографическое описание: A cross-cutting approach to analysis of the learning situation in ITS using a mapping mechanism : научное издание / V. V. Uglev, G. G. Smirnov. - Текст : непосредственный // Journal of Integrated Design and Process Science. - 2023. - Т. 27, № 3-4. - P. 288-303. - ISSN 1092-0617, DOI 10.1177/10920617241289777.
Аннотация: <jats:p>Individualization in Intelligent Tutoring Systems (ITS) is based on a specific digital copy of a learner (learner model) and a model of a learning situation. Both of these models are interpreted through a digital educational footprint and form the basis for making decisions on learning process management by the intelligent planner of the tutoring system. The effective ITSs, which provide individualization and reflection in interaction with a human learner, have to use means of generalization and data convolution. We propose to use a mapping mechanism based on the cognitive maps of knowledge diagnosis (CMKD) graphical notation. The paper shows how the maps are used by an ITS planner based on the cross-cutting approach to make decisions and form feedback in a learner-directed dialog. An example of such a dialog and its trajectory (master's student training) is given. The effectiveness of the approach is evaluated from the position of the Explicable Artificial Intelligence (XAI) concept. The results obtained during the pedagogical experiment are summarized and recommendations for the use of mapping in the implementation of ITS-based cross-cutting approach to managing the learning process are given.</jats:p>
Год издания: 2023
Авторы: Uglev Viktor , Smirnov Georgy
Издательство: I O S press
Источник: Journal of Integrated Design and Process Science
Выпуск: Т. 27, № 3-4
Номера страниц: 288-303
Держатель оригинала документа: Research Laboratory of Applied Intelligent Systems, Siberian Federal University, Zheleznogorsk, Russia Federation
Количество экземпляров:
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