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ZENODO
Article . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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ИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ В МЕТОДИКЕ ПРЕПОДАВАНИЯ РУССКОГО ЯЗЫКА: АДАПТИВНАЯ ОБРАТНАЯ СВЯЗЬ И РАЗВИТИЕ КОММУНИКАТИВНОЙ КОМПЕТЕНЦИИ

ИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ В МЕТОДИКЕ ПРЕПОДАВАНИЯ РУССКОГО ЯЗЫКА: АДАПТИВНАЯ ОБРАТНАЯ СВЯЗЬ И РАЗВИТИЕ КОММУНИКАТИВНОЙ КОМПЕТЕНЦИИ

Abstract

В статье рассматриваются методические возможности и ограничения применения искусственногоинтеллекта в преподавании русского языка как неродного, иностранного и учебного предмета. Основное вни-мание уделяется адаптивной обратной связи, речевой практике, автоматизированной диагностике лексико-грам-матических трудностей, созданию учебных материалов, развитию письменной речи и формированию коммуни-кативной компетенции. Обосновывается, что искусственный интеллект не должен подменять преподавателя иметодическую систему, а может использоваться как вспомогательный инструмент индивидуализации обучения,анализа ошибок и организации самостоятельной работы обучающихся

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green