<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "JATS-journalpublishing1-3.dtd">
<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">edpolicy</journal-id><journal-title-group><journal-title xml:lang="ru">Образовательная политика</journal-title><trans-title-group xml:lang="en"><trans-title>Educational Policy</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2078-838X</issn><issn pub-type="epub">2949-0987</issn><publisher><publisher-name>Российская академия народного хозяйства и государственной службы при Президенте Российской Федерации (РАНХиГС</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">edpolicy-299</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>ЦИФРОВОЙ КОВЧЕГ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>DIGITAL ARK</subject></subj-group></article-categories><title-group><article-title>ДАТА-ГРАМОТНОСТЬ Модная тема или необходимость?</article-title><trans-title-group xml:lang="en"><trans-title>DATA LITERACY A popular topic or a necessity?</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>ГЛУХОВ</surname><given-names>Павел Павлович</given-names></name><name name-style="western" xml:lang="en"><surname>GLUKHOV</surname><given-names>Pavel P.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Научный сотрудник научно-исследовательскогосектора «Открытое образование» научно-исследовательского центра социализации и персонализации образования детей Федерального института развития образования, эксперт лабораториикомпетентностных практик образования</p></bio><bio xml:lang="en"><p>Research associate of the research sector “Open Education” of The Research Center for Socialization and Personalization of Children’s Education (Federal Education Development Institute. Expert at the laboratory of competencepractices of education</p></bio><email xlink:type="simple">gluhovpav.pav@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>ДЕРЯБИН</surname><given-names>Андрей Александрович</given-names></name><name name-style="western" xml:lang="en"><surname>DERYABIN</surname><given-names>Andrey A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>научный сотрудник научноисследовательского центра социализации и персонализации образования детей </p></bio><bio xml:lang="en"><p>MSc Social Psychology. Research associate of The ResearchCenter for Socialization and Personalization of Children’sEducation Federal Education Development Institute</p></bio><email xlink:type="simple">deryabin-aa@ranepa.ru</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>ПОПОВ</surname><given-names>Александр Анатольевич</given-names></name></name-alternatives><bio xml:lang="ru"><p>Д. филос. н., доцент, зав. научно-исследовательскимсектором «Открытое образование» научно-исследовательского центра социализации и персонализации образования детей </p><p>Зав. лабораториейкомпетентностных практик образования Институтасистемных проектов</p><p>Профессор кафедры социологии и массовых коммуникаций гуманитарногофакультета</p><p> </p></bio><email xlink:type="simple">aktor@mail.ru</email><xref ref-type="aff" rid="aff-3"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>РАНХиГС&#13;
МГПУ</institution><country>Россия</country></aff><aff xml:lang="en"><institution>The Russian Presidential Academy of National Economy and&#13;
Public Administration&#13;
Moscow State Pedagogical University</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>РАНХиГС</institution><country>Россия</country></aff><aff xml:lang="en"><institution>The Russian Presidential Academy of National Economy and Public Administration</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-3"><aff xml:lang="ru"><institution>РАНХиГС&#13;
МГПУ&#13;
Новосибирский государственный технический университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>The Russian Presidential Academy of National Economy and&#13;
Public Administration&#13;
Moscow State Pedagogical University&#13;
Novosibirsk State Technical 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>18</day><month>09</month><year>2026</year></pub-date><volume>0</volume><issue>3 (83)</issue><fpage>74</fpage><lpage>82</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; ГЛУХОВ П.П., ДЕРЯБИН А.А., ПОПОВ А.А., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">ГЛУХОВ П.П., ДЕРЯБИН А.А., ПОПОВ А.А.</copyright-holder><copyright-holder xml:lang="en">GLUKHOV P.P., DERYABIN A.A., ПОПОВ А.А.</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://edpolicy.ranepa.ru/jour/article/view/299">https://edpolicy.ranepa.ru/jour/article/view/299</self-uri><abstract><p>В статье рассматривается понятие дата-грамотности. Исследуется содержание и состав такого вида грамотности, обосновывается ее актуальность как образовательного результата, сообразного трендам цифровизации. Разделяются подходы к углубленному и общему изучению науки о данных. Дается описание различных типов задач, поставленных на разном учебном материале и направленных на развитие дата-грамотности у учащихся. Рассматриваются способы разворачивания программ, направленных на освоение учащимися науки о данных без необходимости оформленияее в отдельную дисциплину.</p></abstract><trans-abstract xml:lang="en"><p>The article deals with the concept of data literacy. The article examines the content and composition of this type of literacy, justifies its relevance as an educational result consistent with the trends of digitalization. Approaches to the in-depth and General study of data science are divided. The article describes various types of tasks set on different educational materials and aimed at developing data literacy among students. We consider ways to deploy programs aimed at students “ mastering data science without the need to form it into a separate discipline.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>Наука о данных</kwd><kwd>машинное обучение</kwd><kwd>образовательные программы</kwd><kwd>дата-грамотность</kwd><kwd>анализ данных</kwd><kwd>data science</kwd><kwd>общее образование</kwd><kwd>профориентация</kwd><kwd>дополнительное образование</kwd><kwd>информатика.</kwd></kwd-group><kwd-group xml:lang="en"><kwd>data science</kwd><kwd>machine learning</kwd><kwd>educational programs</kwd><kwd>data literature</kwd><kwd>data analysis</kwd><kwd>Data Science</kwd><kwd>General education</kwd><kwd>career guidance</kwd><kwd>additional education</kwd><kwd>computer science.</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">Anderson, P. et al. An undergraduate degree in data science: Curriculum</mixed-citation><mixed-citation xml:lang="en">Anderson, P. et al. (2014). An undergraduate degree in data science:</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">and a decade of implementation experience // SIGCSE 2014 — Proceedings</mixed-citation><mixed-citation xml:lang="en">Curriculum and a decade of implementation experience. SIGCSE 2014</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">of the 45th ACM Technical Symposium on Computer Science Education. 2014. P. 145–150.</mixed-citation><mixed-citation xml:lang="en">(pp.145–150).</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Baumer, B. S. A data science course for undergraduates: Thinking with</mixed-citation><mixed-citation xml:lang="en">Baumer, B. S. (2015). A data science course for undergraduates: Thinking with</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">data // The American Statistician. 2015. No. 69. P. 334–342.</mixed-citation><mixed-citation xml:lang="en">data. The American Statistician, 69, 334–342.</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Bryant, C. et al. A middle-school camp emphasizing data science and</mixed-citation><mixed-citation xml:lang="en">Bonaventura, M., &amp; Ciotti, V. et al. (2019). Predicting success in the worldwide</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">computing for social good // SIGCSE 2019 — Proceedings of the 50th ACM</mixed-citation><mixed-citation xml:lang="en">start-up network.</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Technical Symposium on Computer Science Education. 2019. P. 358–364. DOI: 10.1145/3287324.3287510.</mixed-citation><mixed-citation xml:lang="en">Bryant, C. et al. (2019). A middle-school camp emphasizing data science and</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Bonaventura, M., Ciotti, V. et al. Predicting success in the worldwide startup network. 2019.</mixed-citation><mixed-citation xml:lang="en">computing for social good. SIGCSE 2019 — Proceedings of the 50th ACM</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Cirillo, P., Taleb, N. The Decline of Violent Conflicts: What Do The Data Really Say? SSRN Electronic Journal. 2016. DOI: 10.2139/ssrn.2876315.</mixed-citation><mixed-citation xml:lang="en">Technical Symposium on Computer Science Education (pp. 358–364).</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Cirillo, P., Taleb, N. What are the chances of a third world</mixed-citation><mixed-citation xml:lang="en">DOI:10.1145/3287324.3287510.</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">war? Real World Risk Institute Working Paper Series. 2016.DOI: 10.1111/j.1740-9713.2016.00903.x.</mixed-citation><mixed-citation xml:lang="en">Cirillo, P., &amp; Taleb, N. (2016a). The Decline of Violent Conflicts:</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Datta, S., Nagabandi, V. Integrating data science and R programming</mixed-citation><mixed-citation xml:lang="en">What Do The Data Really Say? SSRN Electronic Journal.</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">at an early stage // IEEE 4th International Conference on Soft</mixed-citation><mixed-citation xml:lang="en">DOI: 10.2139/ssrn.2876315.</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Computing and Machine Intelligence, ISCMI 2017. 2018. P. 1–5.</mixed-citation><mixed-citation xml:lang="en">Cirillo, P., &amp; Taleb, N. (2016). What are the chances of a third</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">DOI: 10.1109/ISCMI.2017.8279587.</mixed-citation><mixed-citation xml:lang="en">world war? Real World Risk Institute Working Paper Series.</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">De Veaux, R., Curriculum guidelines for undergraduate programs in data</mixed-citation><mixed-citation xml:lang="en">DOI: 10.1111/j.1740-9713.2016.00903.x.</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">science // Annual Review of Statistics and Its Application. 2017. Vol. 4.</mixed-citation><mixed-citation xml:lang="en">Datta, S., &amp; Nagabandi, V. (2018). Integrating data science and R programming at an early stage. IEEE 4th International Conference on</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">No 1. P. 15–30.</mixed-citation><mixed-citation xml:lang="en">Soft Computing and Machine Intelligence, ISCMI 2017 (pp. 1–5).</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Dryer, A., Walia, N., Chattopadhyay, A. A middle-school module for</mixed-citation><mixed-citation xml:lang="en">DOI:10.1109/ISCMI.2017.8279587.</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">introducing data-mining, big data, ethics and privacy using rapidminer</mixed-citation><mixed-citation xml:lang="en">De Veaux, R. (2017). Curriculum guidelines for undergraduate programs in data</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">and a Hollywood theme // SIGCSE 2018 — Proceedings of the 49th ACM</mixed-citation><mixed-citation xml:lang="en">science. Annual Review of Statistics and Its Application, 4(1), 15–30.</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Technical Symposium on Computer Science Education. 2018. P. 753–758.</mixed-citation><mixed-citation xml:lang="en">Dryer A., Walia N., &amp; Chattopadhyay A. (2018). A middle-school module for</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">DOI: 10.1145/3159450.3159553.</mixed-citation><mixed-citation xml:lang="en">introducing data-mining, big-data, ethics and privacy using rapidminer</mixed-citation></citation-alternatives></ref><ref id="cit25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">Finzer, W. The data science education dilemma // Technology Innovations</mixed-citation><mixed-citation xml:lang="en">and a Hollywood theme. SIGCSE 2018 — Proceedings of the 49th ACM</mixed-citation></citation-alternatives></ref><ref id="cit26"><label>26</label><citation-alternatives><mixed-citation xml:lang="ru">in Statistics Education. 2013. Vol. 7. No. 2.</mixed-citation><mixed-citation xml:lang="en">Technical Symposium on Computer Science Education (pp. 753–758).</mixed-citation></citation-alternatives></ref><ref id="cit27"><label>27</label><citation-alternatives><mixed-citation xml:lang="ru">Gibson, J. P., Mourad T. The growing importance of data literacy in</mixed-citation><mixed-citation xml:lang="en">DOI:10.1145/3159450.3159553.</mixed-citation></citation-alternatives></ref><ref id="cit28"><label>28</label><citation-alternatives><mixed-citation xml:lang="ru">life science education // American Journal of Botany. 2018. Vol. 105.</mixed-citation><mixed-citation xml:lang="en">Finzer, W. (2013). The data science education dilemma. Technology Innovations</mixed-citation></citation-alternatives></ref><ref id="cit29"><label>29</label><citation-alternatives><mixed-citation xml:lang="ru">No 12. P. 1–4.</mixed-citation><mixed-citation xml:lang="en">in Statistics Education, 7(2).</mixed-citation></citation-alternatives></ref><ref id="cit30"><label>30</label><citation-alternatives><mixed-citation xml:lang="ru">Heinemann, B. et al. Drafting a data science curriculum for secondary</mixed-citation><mixed-citation xml:lang="en">Gibson, J. P., &amp; Mourad, T. (2018). The growing importance of data literacy in</mixed-citation></citation-alternatives></ref><ref id="cit31"><label>31</label><citation-alternatives><mixed-citation xml:lang="ru">schools // ACM International Conference Proceeding Series. 2018. P. 1–5. DOI: 10.1145/3279720.3279737</mixed-citation><mixed-citation xml:lang="en">life science education. American Journal of Botany, 105(12), 1–4.</mixed-citation></citation-alternatives></ref><ref id="cit32"><label>32</label><citation-alternatives><mixed-citation xml:lang="ru">Janosov, M., Muscioto, F. et al. Elites, communities and the</mixed-citation><mixed-citation xml:lang="en">Heinemann, B. et al. (2018). Drafting a data science curriculum for secondary schools. ACM International Conference Proceeding Series, 1–5.</mixed-citation></citation-alternatives></ref><ref id="cit33"><label>33</label><citation-alternatives><mixed-citation xml:lang="ru">limited benefits of mentorship in electronic music. 2019.DOI: https://doi.org/10.1038/s41598-020-60055-w.</mixed-citation><mixed-citation xml:lang="en">DOI:10.1145/3279720.3279737.</mixed-citation></citation-alternatives></ref><ref id="cit34"><label>34</label><citation-alternatives><mixed-citation xml:lang="ru">Mariescu-Istodor, R., Jormanainen, I. Machine Learning Exercises for</mixed-citation><mixed-citation xml:lang="en">Janosov, M., &amp; Muscioto, F. et al. (2019). Elites, communities</mixed-citation></citation-alternatives></ref><ref id="cit35"><label>35</label><citation-alternatives><mixed-citation xml:lang="ru">High School Students // Proceedings of the 19th Koli Calling International</mixed-citation><mixed-citation xml:lang="en">and the limited benefits of mentorship in electronic music.</mixed-citation></citation-alternatives></ref><ref id="cit36"><label>36</label><citation-alternatives><mixed-citation xml:lang="ru">Conference on Computing Education Research. 2019.</mixed-citation><mixed-citation xml:lang="en">DOI: https://doi.org/10.1038/s41598-020-60055-w.</mixed-citation></citation-alternatives></ref><ref id="cit37"><label>37</label><citation-alternatives><mixed-citation xml:lang="ru">Navarro, H., Miritello, G., Canales, A. et al. Temporal patterns behind</mixed-citation><mixed-citation xml:lang="en">Mariescu-Istodor, R., &amp; Jormanainen, I. (2019). Machine Learning Exercises</mixed-citation></citation-alternatives></ref><ref id="cit38"><label>38</label><citation-alternatives><mixed-citation xml:lang="ru">the strength of persistent ties. EPJ Data Sci. 2017. Vol. 6. No 31.</mixed-citation><mixed-citation xml:lang="en">for High School Students. Proceedings of the 19th Koli Calling International</mixed-citation></citation-alternatives></ref><ref id="cit39"><label>39</label><citation-alternatives><mixed-citation xml:lang="ru">DOI: https://doi.org/10.1140/epjds/s13688-017-0127-3.</mixed-citation><mixed-citation xml:lang="en">Conference on Computing Education Research. Retrieved from</mixed-citation></citation-alternatives></ref><ref id="cit40"><label>40</label><citation-alternatives><mixed-citation xml:lang="ru">Schield, M. Information literacy, statistical literacy and data literacy //</mixed-citation><mixed-citation xml:lang="en">http://www.cs.columbia.edu/~CS4HS/talks/ml_for_hs.pdf.</mixed-citation></citation-alternatives></ref><ref id="cit41"><label>41</label><citation-alternatives><mixed-citation xml:lang="ru">IASSIST Quarterly. 2018. Vol. 28. No 2. P. 6–11.</mixed-citation><mixed-citation xml:lang="en">Navarro, H., Miritello, G., &amp; Canales, A. et al. (2017). Temporal patterns behind the strength of persistent ties. EPJ Data Sci., 6(31).</mixed-citation></citation-alternatives></ref><ref id="cit42"><label>42</label><citation-alternatives><mixed-citation xml:lang="ru">Srikant, S., &amp; Aggarwal, V. (2017). Introducing data science to school kids</mixed-citation><mixed-citation xml:lang="en">DOI: https://doi.org/10.1140/epjds/s13688-017-0127-3.</mixed-citation></citation-alternatives></ref><ref id="cit43"><label>43</label><citation-alternatives><mixed-citation xml:lang="ru">// Proceedings of the Conference on Integrating Technology into Computer</mixed-citation><mixed-citation xml:lang="en">Pangrazio, L., &amp; Sefton-Green, J. (2019). The social utility of data literac.</mixed-citation></citation-alternatives></ref><ref id="cit44"><label>44</label><citation-alternatives><mixed-citation xml:lang="ru">Science Education, ITiCSE. P. 561–566. DOI: 10.1145/3017680.3017717.</mixed-citation><mixed-citation xml:lang="en">Learning, Media and Technology. DOI: 10.1080/17439884.2020.1707223.</mixed-citation></citation-alternatives></ref><ref id="cit45"><label>45</label><citation-alternatives><mixed-citation xml:lang="ru">Pangrazio, L., Sefton-Green, J. The social utility of data literacy // Learning,</mixed-citation><mixed-citation xml:lang="en">Schield, M. (2018). Information literacy, statistical literacy and data</mixed-citation></citation-alternatives></ref><ref id="cit46"><label>46</label><citation-alternatives><mixed-citation xml:lang="ru">Media and Technology, 2019. DOI: 10.1080/17439884.2020.1707223.</mixed-citation><mixed-citation xml:lang="en">literacy. IASSIST Quarterly, 28(2), 6–11.</mixed-citation></citation-alternatives></ref><ref id="cit47"><label>47</label><citation-alternatives><mixed-citation xml:lang="ru">Wolff, A., Wermelinger, M., Petre, M. Exploring design principles for data</mixed-citation><mixed-citation xml:lang="en">Srikant, S., &amp; Aggarwal, V. (2017). Introducing data science to school kids.</mixed-citation></citation-alternatives></ref><ref id="cit48"><label>48</label><citation-alternatives><mixed-citation xml:lang="ru">literacy activities to support children’s inquiries from complex data //</mixed-citation><mixed-citation xml:lang="en">Proceedings of the Conference on Integrating Technology into Computer Science Education, ITiCSE (pp. 561–566). DOI: 10.1145/3017680.3017717.</mixed-citation></citation-alternatives></ref><ref id="cit49"><label>49</label><citation-alternatives><mixed-citation xml:lang="ru">International Journal of Human Computer Studies. 2019. No 129 (March).</mixed-citation><mixed-citation xml:lang="en">Wolff, A., Wermelinger, M., &amp; Petre, M. (2019). Exploring design principles</mixed-citation></citation-alternatives></ref><ref id="cit50"><label>50</label><citation-alternatives><mixed-citation xml:lang="ru">P. 41–54. DOI: 10.1016/j.ijhcs.2019.03.006.</mixed-citation><mixed-citation xml:lang="en">for data literacy activities to support children’s inquiries from complex</mixed-citation></citation-alternatives></ref><ref id="cit51"><label>51</label><citation-alternatives><mixed-citation xml:lang="ru">data. International Journal of Human Computer Studies, 129 (March),</mixed-citation><mixed-citation xml:lang="en">data. International Journal of Human Computer Studies, 129 (March),</mixed-citation></citation-alternatives></ref><ref id="cit52"><label>52</label><citation-alternatives><mixed-citation xml:lang="ru">–54. DOI: 10.1016/j.ijhcs.2019.03.006.</mixed-citation><mixed-citation xml:lang="en">–54. DOI: 10.1016/j.ijhcs.2019.03.006.</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
