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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">edscience</journal-id><journal-title-group><journal-title xml:lang="ru">Образование и наука</journal-title><trans-title-group xml:lang="en"><trans-title>The Education and science journal</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1994-5639</issn><issn pub-type="epub">2310-5828</issn><publisher><publisher-name>RSVPU</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.17853/1994-5639-2019-7-69-89</article-id><article-id custom-type="elpub" pub-id-type="custom">edscience-1332</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>ОБЩИЕ ВОПРОСЫ ОБРАЗОВАНИЯ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>GENERAL EDUCATION</subject></subj-group></article-categories><title-group><article-title>Исследование образовательной среды школы в контексте обеспечения равного доступа к качественному образованию</article-title><trans-title-group xml:lang="en"><trans-title>The Study of School Educational Environment in the Context of Ensuring Equal Access to Quality Education</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4740-4235</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Иванова</surname><given-names>Е. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Ivanova</surname><given-names>E. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>кандидат психологических наук, доцент, заведующая лабораторией образовательных инфраструктур Института системных проектов </p><p>Researcher ID D-2028-2019,</p><p>Scopus Autor ID 57199325543</p></bio><bio xml:lang="en"><p>Candidate of Psychological Sciences, Associate Professor, Head of the Laboratory of Educational Infrastructures of the Institute of System Projects</p></bio><email xlink:type="simple">ivanovaev@mgpu.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/0000-0002-3204-8100</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Виноградова</surname><given-names>И. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Vinogradova</surname><given-names>I. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>кандидат психологических наук, доцент, ведущий научный сотрудник лаборатории образовательных инфраструктур Института системных проектов </p><p>Researcher ID H-1571- 2018,</p><p>Scopus Autor ID 57199325852</p></bio><bio xml:lang="en"><p>Candidate of Psychological Sciences, Associate Professor, Leading Researcher of the Laboratory of Educational Infrastructures of the Institute of System Projects</p></bio><email xlink:type="simple">vinogradovaia@mgpu.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/0000-0003-1329-4012</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Зададаев</surname><given-names>С. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Zadadaev</surname><given-names>S. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>кандидат физико-математических наук, доцент, заместитель руководителя департамента анализа данных, принятия решений и финансовых технологий </p><p>Researcher ID D-3121- 2019,</p><p>Scopus Autor ID 6506481410</p></bio><bio xml:lang="en"><p>Candidate of Physico-Mathematical Sciences, Associate Professor, Deputy Head of the Department of Data Analysis, Decision-Making and Financial Technologies</p></bio><email xlink:type="simple">zadadaev@mail.ru</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Московский городской педагогический университет</institution></aff><aff xml:lang="en"><institution>Moscow City University</institution></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Финансовый университет при Правительстве РФ, Москва</institution></aff><aff xml:lang="en"><institution>Financial University under the Government of the Russian Federation</institution></aff></aff-alternatives><pub-date pub-type="collection"><year>2019</year></pub-date><pub-date pub-type="epub"><day>11</day><month>09</month><year>2019</year></pub-date><volume>21</volume><issue>7</issue><fpage>69</fpage><lpage>89</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Иванова Е.В., Виноградова И.А., Зададаев С.А., 2019</copyright-statement><copyright-year>2019</copyright-year><copyright-holder xml:lang="ru">Иванова Е.В., Виноградова И.А., Зададаев С.А.</copyright-holder><copyright-holder xml:lang="en">Ivanova E.V., Vinogradova I.A., Zadadaev S.A.</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.edscience.ru/jour/article/view/1332">https://www.edscience.ru/jour/article/view/1332</self-uri><abstract><sec><title>Введение</title><p>Введение. В официальных международных и государственных российских документах декларируется обязательность обеспечения равного доступа к качественному образованию всех граждан вне зависимости от места их проживания и социального статуса. В связи с этим актуальной становится оценка состояния школьной среды и ее потенциала с точки зрения соблюдения требований оказания квалитативных образовательных услуг всем представителям подрастающего поколения.</p><p>Цель изложенного в публикации исследования состоит в изучении деятельности и ресурсов московских школ в контексте равных возможностей детей к получению образования, достойного общества знаний.</p></sec><sec><title>Методы и методики</title><p>Методы и методики. Основным методом работы был избран международный экспертный инструмент – шкала SACERS, адаптированная сотрудниками лаборатории образовательных инфраструктур Института системных проектов Московского городского педагогического университета (МГПУ). Обработка данных осуществлялись с помощью методов описательной статистики, дисперсионного, регрессионного анализа и Т-критерия Стьюдента в модификации Уэлча.</p><p>Результаты и научная новизна. На рандомной выборке (22 образовательных комплекса) продиагностированы особенности условий обучения в разных московских школах, определен индекс качества их образовательной среды и ее структурных компонентов (n = 58). Установлена неоднородность средних учебных учреждений по предметно-пространственной организации, внеурочной и дополнительной образовательной деятельности, а также наличию инфраструктуры для обучения детей с особыми образовательными потребностями. В то же время сходными оказались показатели «посещаемость», «пространство для подвижной активной деятельности», «дисциплина», «взаимодействие сверстников», «взаимодействие между педагогами и родителями», «возможности для профессионального развития». Среди обследованных объектов выделено шесть «однородных» и десять «неоднородных» комплексов. В первых, в отличие от вторых, имеются предпосылки для относительно одинакового доступа всех школьников к образованию высокого уровня. Этот факт подтверждается диапазоном значений индекса качества образовательной среды и погрешностями его стандартного отклонения.</p></sec><sec><title>Практическая значимость</title><p>Практическая значимость. Проведенное исследование позволило получить дифференцированное представление о реальной образовательной ситуации в столичных школах, исходя из чего следует искать решение управленческой задачи развития системы образования, гарантирующей качественное обучение каждого школьника.</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Introduction</title><p>Introduction. Today, official international and State Russian documents require ensuring equal access to quality education for all citizens regardless of place of residence and social status. In this regard, it becomes relevant to determine the quality of school environment and its potential in terms of compliance with the requirements of delivery of quality education services for all representatives of the oncoming generation.</p><p>The aim of the present research is to study the educational environment of Moscow schools in the context of ensuring equal access to quality education.</p><p>Methodology and research methods. An international assessment tool – the SACERS scale – was chosen as the main method of the research. The SACERS scale was modified by the employees of Laboratory of Educational Infrastructures of the Institute of System Projects of Moscow City University (MCU). The data were processed using descriptive statistics methods, dispersion and regression analysis, T-student’s criterion in the modification of Welch.</p><p>Results and scientific novelty. On the basis of random sample (22 educational complexes), the peculiarities of educational conditions in different Moscow schools were diagnosed; the quality index of their educational environment and its structural components were determined (n = 58). The study sample revealed the “heterogeneity” of secondary educational establishments in the organisation of the subject-spatial environment of schools, extracurricular activities and additional education, as well as availability of educational infrastructure for students with special educational needs. Sufficiently equal indicators of educational conditions were identified: “Attendance”, “Space for Gross Motor Activities”, “Discipline”, “Peer Interactions”, “Interactions between Staff and Parents”, “Opportunities for Professional Growth”. Six “homogeneous” and ten “inhomogeneous” complexes were revealed in the studied sample. In “homogeneous” complexes, there are educational conditions, which provide relatively equal access to quality education, as compared with “heterogeneous” complexes. This fact is confirmed by the range of values of the quality index of the educational environment and the values of standard deviation.</p></sec><sec><title>Practical significance</title><p>Practical significance. The present research allowed the authors to obtain a differentiated understanding of the existing educational conditions of Moscow schools, which formed the basis to solve the management problem in the development of education system, which guarantees quality education for all students.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>качество образования</kwd><kwd>шкала SACERS</kwd><kwd>образовательная среда</kwd><kwd>образовательные условия</kwd><kwd>равный доступ к знаниям</kwd></kwd-group><kwd-group xml:lang="en"><kwd>quality of education</kwd><kwd>SACERS scales</kwd><kwd>educational environment</kwd><kwd>educational conditions</kwd><kwd>equal access to knowledge</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">Фрумин И. Д. Основные подходы к проблеме равенства образовательных возможностей // Вопросы образования. 2006. № 2. 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