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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">infojournal</journal-id><journal-title-group><journal-title xml:lang="ru">Информатика и образование</journal-title><trans-title-group xml:lang="en"><trans-title>Informatics and education</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">0234-0453</issn><issn pub-type="epub">2658-7769</issn><publisher><publisher-name>Publishing House Education and Informatics</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.32517/0234-0453-2020-35-5-56-63</article-id><article-id custom-type="elpub" pub-id-type="custom">infojournal-543</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>ПЕДАГОГИЧЕСКИЕ ИЗМЕРЕНИЯ И ТЕСТЫ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>PEDAGOGICAL ASSESSMENTS AND TESTS</subject></subj-group></article-categories><title-group><article-title>Применение технологий компьютерного зрения для автоматического сбора данных об эмоциях обучающихся во время групповой работы</article-title><trans-title-group xml:lang="en"><trans-title>Application of computer vision technologies for automatic data collection about emotions of students during group work</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-5153-4334</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Куприянов</surname><given-names>Р. Б.</given-names></name><name name-style="western" xml:lang="en"><surname>Kupriyanov</surname><given-names>R. B.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Куприянов Роман Борисович, зам. начальника управления информационных технологий</p><p>129226, г. Москва, 2-й Сельскохозяйственный проезд, д. 4</p></bio><bio xml:lang="en"><p>Roman B. Kupriyanov, Deputy Head of the IT Department</p><p>129226, Moscow, Vtoroy Selskohoziajstvenny proezd, 4</p></bio><email xlink:type="simple">kupriyanovrb@mgpu.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Московский городской педагогический университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Moscow City University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2020</year></pub-date><pub-date pub-type="epub"><day>04</day><month>07</month><year>2020</year></pub-date><volume>0</volume><issue>5</issue><fpage>56</fpage><lpage>63</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Куприянов Р.Б., 2020</copyright-statement><copyright-year>2020</copyright-year><copyright-holder xml:lang="ru">Куприянов Р.Б.</copyright-holder><copyright-holder xml:lang="en">Kupriyanov R.B.</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://info.infojournal.ru/jour/article/view/543">https://info.infojournal.ru/jour/article/view/543</self-uri><abstract><p>Сегодня мировое научное сообщество активно обсуждает вопросы применения искусственного интеллекта в образовании. Одна из наименее изученных технологий, в части ее применения в сфере образования, — компьютерное зрение. Разработка и внедрение интеллектуальных систем на основе алгоритмов анализа видео и машинного обучения предоставляют преподавателям и сотрудникам администрации образовательной организации новые возможности для понимания образовательного процесса и его трансформации. В статье рассматривается применение технологий анализа видео с камер с углом обзора, равным 360 градусам, для сбора данных об эмоциональном состоянии обучающихся во время групповой работы на учебных занятиях. В ходе описываемого исследования было разработано программное решение для автоматического сбора данных об эмоциях обучающихся во время работы в группах на учебных занятиях, которое может быть применено для проведения дальнейших исследований, направленных на изучение влияния эмоционального состояния обучающихся на их образовательные успехи. Результаты исследования могут быть использованы для формирования повестки научных исследований российских вузов в целях реализации задач раздела «Образование и кадры» программы «Цифровая экономика Российской Федерации», утвержденной Правительством Российской Федерации.</p></abstract><trans-abstract xml:lang="en"><p>Today the global scientific community is actively discussing the issues on the application of artificial intelligence in education. One of the least studied technologies in terms of its application in education is computer vision. The development and implementation of intelligent systems based on video analysis and machine learning algorithms provide new opportunities for teachers and staff of the educational organization administration to understand and transform the educational process. The article discusses the use of video analysis technologies from cameras with a 360-degree view to collect data on the emotional state of students during group work in the classroom. In the course of the described research, a software solution for automatic emotions data collection during students’ teamwork leaning was developed. This solution can be used for future research aimed at studying the impact of emotional state on students’ educational success. The results of the study can be used to form the research agenda of Russian universities in order to implement the objectives of the section “Education and personnel” of the program “Digital economy of the Russian Federation”, approved by the Government of the Russian Federation.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>цифровая трансформация образовательного процесса</kwd><kwd>искусственный интеллект</kwd><kwd>компьютерное зрение</kwd><kwd>видеоанализ</kwd><kwd>анализ данных</kwd><kwd>интеллектуальный анализ данных</kwd><kwd>интеллектуальный анализ образовательных данных</kwd></kwd-group><kwd-group xml:lang="en"><kwd>digital transformation of educational process</kwd><kwd>artificial intelligence</kwd><kwd>computer vision</kwd><kwd>video analysis</kwd><kwd>data analysis</kwd><kwd>data mining</kwd><kwd>educational data mining</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">Afsar P., Cortez P., Santos H. 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