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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">mininuniver</journal-id><journal-title-group><journal-title xml:lang="ru">Вестник Мининского университета</journal-title><trans-title-group xml:lang="en"><trans-title>Vestnik of Minin University</trans-title></trans-title-group></journal-title-group><issn pub-type="epub">2307-1281</issn><publisher><publisher-name>Minin Nizhny Novgorod State Pedagogical University</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26795/2307-1281-2025-13-4-2</article-id><article-id custom-type="elpub" pub-id-type="custom">mininuniver-1783</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ТЕОРИЯ И МЕТОДОЛОГИЯ ОБРАЗОВАНИЯ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>THEORY AND METHODOLOGY OF EDUCATION</subject></subj-group></article-categories><title-group><article-title>Работа над ошибками «по-новому»: ИИ-инструменты для реагирования на обратную связь от преподавателя</article-title><trans-title-group xml:lang="en"><trans-title>Doing correction work in a new way: AI tools for responding to teacher feedback</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4323-7409</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Воронина</surname><given-names>Е. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Voronina</surname><given-names>E. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Елена Анатольевна Воронина, кандидат филологических наук, доцент</p><p>департамент английского языка</p><p>Нижний Новгород</p><p>ResearcherID: J-9155-2015</p></bio><bio xml:lang="en"><p>Elena A. Voronina, Candidate of Philological Sciences, Associate Professor</p><p>School of English</p><p>Nizhny Novgorod</p><p>ResearcherID: J-9155-2015</p></bio><email xlink:type="simple">evoronina@hse.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-1758-6373</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Курьян</surname><given-names>М. Л.</given-names></name><name name-style="western" xml:lang="en"><surname>Kuryan</surname><given-names>M. L.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Мария Львовна Курьян, кандидат филологических наук, доцент</p><p>департамент английского языка</p><p>Нижний Новгород</p><p>ResearcherID: J-8832-2015</p></bio><bio xml:lang="en"><p>Maria L. Kuryan, Candidate of Philological Sciences, Associate Professor</p><p>School of English</p><p>Nizhny Novgorod</p><p>ResearcherID: J-8832-2015</p></bio><email xlink:type="simple">mkuryan@hse.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>НИУ ВШЭ</institution><country>Россия</country></aff><aff xml:lang="en"><institution>HSE University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>18</day><month>01</month><year>2026</year></pub-date><volume>13</volume><issue>4</issue><fpage>2</fpage><lpage>2</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Воронина Е.А., Курьян М.Л., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Воронина Е.А., Курьян М.Л.</copyright-holder><copyright-holder xml:lang="en">Voronina E.A., Kuryan M.L.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.minin-vestnik.ru/jour/article/view/1783">https://www.minin-vestnik.ru/jour/article/view/1783</self-uri><abstract><sec><title>   Введение</title><p>   Введение. Использование инструментов искусственного интеллекта (ИИ) в образовательном процессе получает все более широкое распространение, в том числе при обучении письму на английском языке. Однако вопрос о том, как эффективность обратной связи, предоставляемой преподавателем относительно письменных работ студентов, может быть повышена за счет современных ИИ-технологий, заслуживает большего внимания.</p><p>   Цель настоящего исследования – проанализировать способы «сотрудничества» между преподавателем и студентами в вопросе применения ИИ для более качественного реагирования и проработки обратной связи по результатам письменных заданий.</p><p>   Актуальность работы обусловлена интересом к развитию новых образовательных трендов и попыткой наметить пути этичного и ответственного внедрения ИИ в образовательный процесс.</p></sec><sec><title>   Материалы и методы</title><p>   Материалы и методы. Аналитический метод использовался для изучения теоретической и эмпирической базы знаний по теме. Сравнительный анализ моделей обратной связи позволил сконструировать расширенную модель реагирования на обратную связь с применением ИИ. Феноменологический подход привел к осмыслению и структурированию педагогического опыта авторов и выработке алгоритма для оптимизации управления реакцией учащихся наобратную связь, предоставляемую преподавателем.</p><p>   Результаты исследования. Разработана модель реагирования на обратную связь от преподавателя, включающая инновационный компонент в виде ИИ-инструментов. Предложен практико-ориентированный алгоритм реализации модели в рамках работы над письменными заданиями типа эссе. Особое внимание уделяется педагогической поддержке со стороны преподавателя, позволяющей индивидуализировать процесс обучения и повысить вовлеченность студентов.</p><p>   Обсуждение и заключения. Образовательный диалог может способствовать новому уровню «грамотности» студентов в вопросах актуализации обратной связи от преподавателя. Переосмысленная модель реагирования на обратную связь «преподаватель – студент – ИИ –студент – преподаватель» при условии правильного и этичного использования может усилить сотрудничество между преподавателями и студентами, повысив эффективность обучения навыкам письма на английском языке.</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>   Introduction</title><p>   Introduction. The use of artificial intelligence (AI) tools in the educational process is expanding, particularly in teaching English writing. Despite this growth, there remains a need for deeper exploration into how AI can enhance the effectiveness of teacher feedback received by students on their written works.</p><p>   This study aims to investigate collaborative approaches between teacher and students to improve the quality of learners’ response to the feedback with the help of AI tools.</p><p>   The relevance of this research lies in advancing emerging educational trends and identifying ethical and responsible ways to incorporate AI into pedagogical practices.</p></sec><sec><title>   Materials and methods</title><p>   Materials and methods. An analytical approach was employed to examine theoretical and empirical literature on the topic. Through comparative analysis of classical feedback models, an expanded framework incorporating AI-driven responses was developed. Additionally, a phenomenological method facilitated the synthesis and organization of the authors’ pedagogical experiences, resulting in the design of an algorithm intended to optimize the management of students’ responses to teacher-provided feedback.</p></sec><sec><title>   Results</title><p>   Results. The study produced a novel feedback response model that integrates AI tools as a key component. Alongside this, a practical algorithm for applying the model in the context of written assignments – such as essays – was proposed. The model emphasizes the crucial role of teacher-led pedagogical support to personalize the learning experience and enhance student engagement.</p><p>   Discussion and conclusions. An enriched educational dialogue can contribute to a new level of students’ feedback "literacy" in interpreting and utilizing teacher commentary on the written tasks. The proposed teacher – student – AI – student – teacher feedback model, if used competently and ethically, can strengthen collaboration between teachers and learners, increasing the effectiveness of enhancing English writing skills.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>обратная связь</kwd><kwd>ИИ-инструменты</kwd><kwd>модель реагирования на обратную связь</kwd><kwd>обучение письму на английском языке</kwd><kwd>педагогическая поддержка</kwd><kwd>высшее образование</kwd></kwd-group><kwd-group xml:lang="en"><kwd>feedback</kwd><kwd>AI-instruments</kwd><kwd>model of responding to feedback</kwd><kwd>teaching English writing skills</kwd><kwd>scaffolding</kwd><kwd>higher education</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Авраменко А. П., Фадеева В. А., Терновский В. В. 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