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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">umj</journal-id><journal-title-group><journal-title xml:lang="ru">Университетское управление: практика и анализ</journal-title><trans-title-group xml:lang="en"><trans-title>University Management: Practice and Analysis</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1999-6640</issn><issn pub-type="epub">1999-6659</issn><publisher><publisher-name>Federal State Autonomous Educational Institution of Higher Education «Ural Federal University named after the first President of Russia B.N.Yeltsin»; Non-Commercial Partnership “University Management: Practice and</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.15826/umpa.2024.04.037</article-id><article-id custom-type="elpub" pub-id-type="custom">umj-1922</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>УПРАВЛЕНИЕ ОБРАЗОВАТЕЛЬНЫМ ПРОЦЕССОМ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>MANAGING EDUCATIONAL PROCESS</subject></subj-group></article-categories><title-group><article-title>Интервенции для развития саморегулируемого обучения как инструменты управления университетом в цифровой среде</article-title><trans-title-group xml:lang="en"><trans-title>Interventions for Fostering Self-Regulated Learning as Tools for University Management in the Digital Environment</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>Хамидулина</surname><given-names>М. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Khamidulina</surname><given-names>M. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>101000, Москва, Потаповский пер., 16, стр. 10</p></bio><bio xml:lang="en"><p>Marianna S. Khamidulina – Specialist on Educational and Methodological Work at the First Moscow State Medical University of the Ministry of Health of the Russian Federation named after I. M. Sechenov (Sechenov University), Chief Executive Officer of LLC “Esculapia”, Graduate Student and Research Assistant at the Institute of Education of the National Research University Higher School of Economics.</p><p>16/10 Potapovsky lane, Moscow, 101000</p></bio><email xlink:type="simple">mskhamidulina@hse.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Национальный исследовательский университет «Высшая школа экономики»</institution><country>Россия</country></aff><aff xml:lang="en"><institution>National Research University Higher School of Economics</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>21</day><month>02</month><year>2025</year></pub-date><volume>28</volume><issue>4</issue><fpage>95</fpage><lpage>104</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Хамидулина М.С., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Хамидулина М.С.</copyright-holder><copyright-holder xml:lang="en">Khamidulina M.S.</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.umj.ru/jour/article/view/1922">https://www.umj.ru/jour/article/view/1922</self-uri><abstract><p>В последние годы университеты массово внедряют курсы и программы в онлайн-формате. Несмотря на свои преимущества, онлайн-образование требует от студентов самостоятельности и самоконтроля. Исследования показывают, что уровень саморегулируемого обучения предсказывает успехи учащихся в онлайн-обучении, но студенты зачастую имеют низкий уровень нужных навыков, что является барьером для широкого и эффективного внедрения онлайн-образования в университетах. Навыки саморегулируемого обучения можно развивать с помощью специальных интервенций. В обзоре представлен анализ интервенций, которые применяются в университетах по всему миру. Существует огромное разнообразие интервенций, и только относительно немногих из них есть эмпирические данные, на основе которых можно говорить об их эффективности. Отсутствует необходимая систематизация и понимание того, интервенции с какими характеристиками лучше способствуют развитию навыков саморегулируемого обучения. Исследований по построению типологий интервенций ранее не проводилось. Данная работа восполняет существующий пробел и предлагает разработку типологии интервенций по нескольким основаниям. Посредством анализа 68 интервенций, описанных в 62 статьях, были выделены следующие основания для типологии: уровни активности студентов в процессе обучения навыкам; фаза цикла саморегулируемого обучения, на которую направлено действие интервенции; степень структурированности задания; наличие и тип обратной связи по результатам выполненного задания; этап курса, на котором проводится интервенция, и длительность интервенции. Типология позволяет перейти от анализа эффективности конкретных интервенций к анализу их характеристик, которые способствуют развитию навыков саморегулируемого обучения. Дальнейшее изучение влияния характеристик интервенций на эффективность позволит снизить затраты ресурсов на разработку и упростить процесс внедрения интервенций в образовательные процессы университетов. Представленная в статье типология и практические рекомендации по внедрению интервенций в университетские программы могут служить эффективным управленческим механизмом для сохранения высокого качества образования в условиях масштабного развития онлайн-обучения. Данная работа представляет интерес для исследователей, преподавателей и администрации университетов. Представленные данные могут быть использованы для проектирования эффективных интервенций и для трансформации системы управления университетом с целью повышения уровня самостоятельности и саморегуляции у студентов.</p></abstract><trans-abstract xml:lang="en"><p>In recent years, universities have widely adopted courses and programs in online formats. Despite their advantages, online education necessitates a high degree of autonomy and self-regulation from students. Research indicates that the level of self-regulated learning predicts students’ success in online learning; however, students often possess insufficient skills in this area, presenting a barrier to the broad and effective implementation of online education in universities. Self-regulated learning skills can be developed through targeted interventions. This review presents an analysis of interventions employed in universities worldwide. There exists a vast diversity of interventions, yet only a relatively small number are supported by empirical data regarding their effectiveness. A necessary systematization and understanding of which characteristics of interventions most effectively foster the development of self-regulated learning skills is lacking. No prior studies have been conducted to construct typologies of interventions. This paper addresses this existing gap and proposes the development of a typology of interventions based on several criteria. Through the analysis of 68 interventions described in 62 articles, the following criteria for typology were identified: levels of student activity in the process of learning skills; the phase of the self-regulated learning cycle targeted by the intervention; the degree of task structuring; the presence and type of feedback on task performance; the stage of the course at which the intervention is implemented; and the duration of the intervention. The typology enables a shift from analyzing the effectiveness of specific interventions to examining their characteristics that contribute to the development of self-regulated learning skills. Further investigation into the impact of intervention characteristics on effectiveness will reduce resource expenditures on development and simplify the implementation process within university educational practices. The typology presented in this article, along with practical recommendations for implementing interventions into university programs, can serve as an effective management mechanism for maintaining high educational quality amidst the extensive growth of online learning. This work is of interest to researchers, educators, and university administration. The data provided can be utilized for designing effective interventions and for transforming university management systems to enhance students’ levels of autonomy and self-regulation.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>саморегулируемое обучение</kwd><kwd>интервенции для развития саморегулируемого обучения в высшем образовании</kwd><kwd>интервенции для развития саморегулируемого обучения в онлайн-образовании</kwd></kwd-group><kwd-group xml:lang="en"><kwd>self-regulated learning</kwd><kwd>interventions for developing self-regulated learning in higher education</kwd><kwd>interventions for developing self-regulated learning in online 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">Chirikov I. et al. Online education platforms scale college STEM instruction with equivalent learning outcomes at lower cost. Science Advances, 2020, vol. 6, nr 15. doi: 10.1126/ sciadv.aay5324 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Chirikov I. et al. Online education platforms scale college STEM instruction with equivalent learning outcomes at lower cost. Science Advances, 2020, vol. 6, nr 15. doi: 10.1126/ sciadv.aay5324 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Castro M. D. B., Tumibay G. M. A literature review: eff icacy of online lear ning courses for higher education institution using meta-analysis. Education and Information Technologies, 2021, vol. 26, pp. 1367–1385. doi: 10.1007/s10639–019–10027-z (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Castro M. D. B., Tumibay G. M. A literature review: eff icacy of online lear ning courses for higher education institution using meta-analysis. Education and Information Technologies, 2021, vol. 26, pp. 1367–1385. doi: 10.1007/s10639–019–10027-z (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Паспорт приоритетного проекта «Современная цифровая образовательная среда в Российской Федерации» (протокол от 25.10.2016, № 9) [Электронный ресурс]. URL: http://static.government.ru/media/files/8SiL mMBgjAN89vZbUUtmuF5lZYf TvOAG.pdf (дата обращения: 24.09.2024).</mixed-citation><mixed-citation xml:lang="en">Pasport priopitetnogo proekta “Sovremennaya cifrovaya obrazovatelnaya sreda v Rossiyskoy Federacii” (protokol ot 25.10.2016, No 9). [Passpor t of the Pr ior it y Project “Moder n digital educational environment in the Russian Federation” (protocol from 25.10.2016, nr 9)], available at: http://static.government.ru/media/files/8SiLmMBgjAN89vZbUUtmuF5lZYfTvOAG.pdf (accessed 24.09.2024). (In Russ.).</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Hong J. C., Lee Y. F., Ye J. H. Procrastination predicts online self-regulated learning and online learning ineffectiveness during the coronavirus lockdown. Personality and Individual Differences, 2021, vol. 174. doi: 10.1016/j.paid.2021.110673 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Hong J. C., Lee Y. F., Ye J. H. Procrastination predicts online self-regulated learning and online learning ineffectiveness during the coronavirus lockdown. Personality and Individual Differences, 2021, vol. 174. doi: 10.1016/j.paid.2021.110673 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Inan F. et al. The impact of self-regulation strategies on student success and satisfaction in an online course. EdMedia+ Innovate Learning Online 2022. Association for the Advancement of Computing in Education (AACE), 2017, vol. 16, nr 1, pp. 23–32. (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Inan F. et al. The impact of self-regulation strategies on student success and satisfaction in an online course. EdMedia+ Innovate Learning Online 2022. Association for the Advancement of Computing in Education (AACE), 2017, vol. 16, nr 1, pp. 23–32. (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Artino A., Ioannou A. Promoting academic motivation and self-regulation: Practical guidelines for online instructors. Society for Information Technology &amp; Teacher Education International Conference. Association for the Advancement of Computing in Education (AACE), 2008, pp. 208–212. (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Artino A., Ioannou A. Promoting academic motivation and self-regulation: Practical guidelines for online instructors. Society for Information Technology &amp; Teacher Education International Conference. Association for the Advancement of Computing in Education (AACE), 2008, pp. 208–212. (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Mikroyannidis A. et al. Self-regulated lear ning in formal education: perceptions, challenges and opportunities. International Journal of Technology Enhanced Learning, 2014, vol. 6, nr 2, pp. 145–163. doi: 10.1504/ijtel.2014.066860 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Mikroyannidis A. et al. Self-regulated lear ning in formal education: perceptions, challenges and opportunities. International Journal of Technology Enhanced Learning, 2014, vol. 6, nr 2, pp. 145–163. doi: 10.1504/ijtel.2014.066860 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Christie H., Barron P., D’Annunzio-Green N. Direct entrants in transition: becoming independent learners. Studies in Higher Education, 2013, vol. 38, nr 4, pp. 623–637. doi: 10.1080/03075079.2011.588326. (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Christie H., Barron P., D’Annunzio-Green N. Direct entrants in transition: becoming independent learners. Studies in Higher Education, 2013, vol. 38, nr 4, pp. 623–637. doi: 10.1080/03075079.2011.588326. (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Noyens D. et al. The directional links between students’ academic motivation and social integration during the first year of higher education. European Journal of Psychology of Education, 2019, vol. 34, pp. 67–86. doi: 10.1007/s10212-017-0365-6. (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Noyens D. et al. The directional links between students’ academic motivation and social integration during the first year of higher education. European Journal of Psychology of Education, 2019, vol. 34, pp. 67–86. doi: 10.1007/s10212-017-0365-6. (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Zimmerman B. J. Becoming a self-regulated learner: An overview. Theory into Practice, 2002, vol. 41, nr 2, pp. 64–70. doi: 10.1207/s15430421tip4102_2 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Zimmerman B. J. Becoming a self-regulated learner: An overview. Theory into Practice, 2002, vol. 41, nr 2, pp. 64–70. doi: 10.1207/s15430421tip4102_2 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Greene J. A., Azevedo R. A macro-level analysis of SRL processes and their relations to the acquisition of a sophisticated mental model of a complex system. Contemporary Educational Psychology, 2009, vol. 34, nr 1, pp. 18–29. doi: 10.1016/j.cedpsych.2008.05.006. (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Greene J. A., Azevedo R. A macro-level analysis of SRL processes and their relations to the acquisition of a sophisticated mental model of a complex system. Contemporary Educational Psychology, 2009, vol. 34, nr 1, pp. 18–29. doi: 10.1016/j.cedpsych.2008.05.006. (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Cho M. H., Shen D. Self-regulation in online learning. Distance Education, 2013, vol. 34, nr 3, pp. 290–301. doi: 10.1080/01587919.2013.835770. (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Cho M. H., Shen D. Self-regulation in online learning. Distance Education, 2013, vol. 34, nr 3, pp. 290–301. doi: 10.1080/01587919.2013.835770. (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Sun J. C. Y., Rueda R. Situational interest, computer self-efficacy and self-regulation: Their impact on student engagement in dist ance education. British Journal of Educational Technology, 2012, vol. 43, nr 2, pp. 191–204. doi: 10.1111/j.1467–8535.2010.01157.x (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Sun J. C. Y., Rueda R. Situational interest, computer self-efficacy and self-regulation: Their impact on student engagement in dist ance education. British Journal of Educational Technology, 2012, vol. 43, nr 2, pp. 191–204. doi: 10.1111/j.1467–8535.2010.01157.x (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Araka E. et al. Research trends in measurement and intervention tools for self-regulated learning for e-learning environments – systematic review (2008–2018). Research and Practice in Technology Enhanced Learning, 2020, vol. 15, pp. 1–21. doi: 10.1186/s41039-020-00129-5 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Araka E. et al. Research trends in measurement and intervention tools for self-regulated learning for e-learning environments – systematic review (2008–2018). Research and Practice in Technology Enhanced Learning, 2020, vol. 15, pp. 1–21. doi: 10.1186/s41039-020-00129-5 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Zheng L. The effectiveness of self-regulated learning scaffolds on academic perfor mance in computer-based lear ning environ ments: A met a-analysis. Asia Pacif ic Education Review, 2016, vol. 17, pp. 187–202. doi: 10.1007/s12564-016-9426-9 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Zheng L. The effectiveness of self-regulated learning scaffolds on academic perfor mance in computer-based lear ning environ ments: A met a-analysis. Asia Pacif ic Education Review, 2016, vol. 17, pp. 187–202. doi: 10.1007/s12564-016-9426-9 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Wang Y., Sperling R. A. Characteristics of effective selfregulated learning interventions in mathematics classrooms: A systematic review. Frontiers in Education, 2020, vol. 5, p. 58. doi: 10.3389/feduc.2020.00058 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Wang Y., Sperling R. A. Characteristics of effective selfregulated learning interventions in mathematics classrooms: A systematic review. Frontiers in Education, 2020, vol. 5, p. 58. doi: 10.3389/feduc.2020.00058 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Edisherashvili N. et al. Suppor ting self-regulated learning in distance learning contexts at higher education level: systematic literature review. Frontiers in Psychology, 2022, vol. 12, p. 6132. doi: 10.3389/fpsyg.2021.792422 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Edisherashvili N. et al. Suppor ting self-regulated learning in distance learning contexts at higher education level: systematic literature review. Frontiers in Psychology, 2022, vol. 12, p. 6132. doi: 10.3389/fpsyg.2021.792422 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Xu Z. et al. Sy nthesizi ng research evidence on self-reg ulated lear n i ng and academ ic achievement i n online and blended lear ning environ ments: A scoping review. Educational Research Review, 2023. doi: 10.1016/j.edurev.2023.100510 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Xu Z. et al. Sy nthesizi ng research evidence on self-reg ulated lear n i ng and academ ic achievement i n online and blended lear ning environ ments: A scoping review. Educational Research Review, 2023. doi: 10.1016/j.edurev.2023.100510 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Xu Z. et al. A meta-analysis of the efficacy of selfregulated learning interventions on academic achievement in online and blended environments in K-12 and higher education. Behaviour &amp; Information Technology, 2023, vol. 42, nr 16, pp. 2911–2931. doi: 10.1080/0144929x.2022.2151935 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Xu Z. et al. A meta-analysis of the efficacy of selfregulated learning interventions on academic achievement in online and blended environments in K-12 and higher education. Behaviour &amp; Information Technology, 2023, vol. 42, nr 16, pp. 2911–2931. doi: 10.1080/0144929x.2022.2151935 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Jansen R. S. et al. Self-regulated learning partially mediates the effect of self-regulated learning interventions on achievement in higher education: A meta-analysis. Educational Research Review, 2019, vol. 28. doi: 10.1016/j.edurev.2019.100292 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Jansen R. S. et al. Self-regulated learning partially mediates the effect of self-regulated learning interventions on achievement in higher education: A meta-analysis. Educational Research Review, 2019, vol. 28. doi: 10.1016/j.edurev.2019.100292 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Theobald M. Self-regulated learning training programs enhance university students’ academic performance, selfregulated learning strategies, and motivation: A meta-analysis. Contemporary Educational Psychology, 2021, vol. 66, 19 p. doi: 10.1016/j.cedpsych.2021.101976 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Theobald M. Self-regulated learning training programs enhance university students’ academic performance, selfregulated learning strategies, and motivation: A meta-analysis. Contemporary Educational Psychology, 2021, vol. 66, 19 p. doi: 10.1016/j.cedpsych.2021.101976 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Chen J. The effectiveness of self-regulated learning (SRL) interventions on L2 learning achievement, strategy employment and self-efficacy: A meta-analytic study. Frontiers in Psychology, 2022, vol. 13, 17 p. doi 10.3389/fpsyg.2022.1021101 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Chen J. The effectiveness of self-regulated learning (SRL) interventions on L2 learning achievement, strategy employment and self-efficacy: A meta-analytic study. Frontiers in Psychology, 2022, vol. 13, 17 p. doi 10.3389/fpsyg.2022.1021101 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Flavell J. H. Metacognition and cognitive monitoring: A new area of cognitive–developmental inquiry. American Psychologist, 1979, vol. 34, nr 10, pp. 906–911. doi 10.1037//0003–066x.34.10.906 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Flavell J. H. Metacognition and cognitive monitoring: A new area of cognitive–developmental inquiry. American Psychologist, 1979, vol. 34, nr 10, pp. 906–911. doi 10.1037//0003–066x.34.10.906 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">Zimmerman B. J. Self-regulated learning and academic achievement: An overview. Educational Psychologist, 1990, vol. 25, nr 1, pp. 3–17. doi: 10.1007/978-14612-36184_1 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Zimmerman B. J. Self-regulated learning and academic achievement: An overview. Educational Psychologist, 1990, vol. 25, nr 1, pp. 3–17. doi: 10.1007/978-14612-36184_1 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">Vosniadou S. et al. The promotion of self-regulated learning in the classroom: a theoretical framework and an observation study. Metacognition and Learning, 2024, pp. 1–39. doi: 10.1007/s11409-024-09374-1 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Vosniadou S. et al. The promotion of self-regulated learning in the classroom: a theoretical framework and an observation study. Metacognition and Learning, 2024, pp. 1–39. doi: 10.1007/s11409-024-09374-1 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit26"><label>26</label><citation-alternatives><mixed-citation xml:lang="ru">Vosniadou S. et al. Beliefs about the self-regulation of learning predict cognitive and metacognitive strategies and academic performance in pre-service teachers. Metacognition and Learning, 2021, 32 p. doi 10.1007/s11409‑020‑09258‑0 (In Eng.)</mixed-citation><mixed-citation xml:lang="en">Vosniadou S. et al. Beliefs about the self-regulation of learning predict cognitive and metacognitive strategies and academic performance in pre-service teachers. Metacognition and Learning, 2021, 32 p. doi 10.1007/s11409‑020‑09258‑0 (In Eng.)</mixed-citation></citation-alternatives></ref><ref id="cit27"><label>27</label><citation-alternatives><mixed-citation xml:lang="ru">Grunschel C. et al. “I’ll stop procrastinating now!” Fostering specific processes of self-regulated learning to reduce academic procrastination. Journal of Prevention &amp; Intervention in the Community, 2018, vol. 46, nr 2, pp. 143–157. doi: 10.1080/10852352.2016.1198166 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Grunschel C. et al. “I’ll stop procrastinating now!” Fostering specific processes of self-regulated learning to reduce academic procrastination. Journal of Prevention &amp; Intervention in the Community, 2018, vol. 46, nr 2, pp. 143–157. doi: 10.1080/10852352.2016.1198166 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit28"><label>28</label><citation-alternatives><mixed-citation xml:lang="ru">Wong J. et al. Examining the use of prompts to facilitate self-regulated learning in Massive Open Online Courses. Computers in Human Behavior, 2021, vol. 115. doi: 10.1016/j.chb.2020.106596 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Wong J. et al. Examining the use of prompts to facilitate self-regulated learning in Massive Open Online Courses. Computers in Human Behavior, 2021, vol. 115. doi: 10.1016/j.chb.2020.106596 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit29"><label>29</label><citation-alternatives><mixed-citation xml:lang="ru">Yeomans M., Reich J. Planning prompts increase and forecast course completion in massive open online courses. Proceedings of the Seventh International Learning Analytics &amp; Knowledge Conference, 2017, pp. 464– 473. doi: 10.1145/3027385.3027416 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Yeomans M., Reich J. Planning prompts increase and forecast course completion in massive open online courses. Proceedings of the Seventh International Learning Analytics &amp; Knowledge Conference, 2017, pp. 464– 473. doi: 10.1145/3027385.3027416 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit30"><label>30</label><citation-alternatives><mixed-citation xml:lang="ru">Lehmann T., Hähnlein I., Ifenthaler D. Cognitive, metacognitive and motivational perspectives on pref lection in self-regulated online learning. Computers in Human Behavior, 2014, vol. 32, pp. 313–323. doi: 10.1016/j.chb.2013.07.051 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Lehmann T., Hähnlein I., Ifenthaler D. Cognitive, metacognitive and motivational perspectives on pref lection in self-regulated online learning. Computers in Human Behavior, 2014, vol. 32, pp. 313–323. doi: 10.1016/j.chb.2013.07.051 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit31"><label>31</label><citation-alternatives><mixed-citation xml:lang="ru">Marquès J. M. et al. Using a notification, recommendation and monitoring system to improve interaction in an automated assessment tool: An analysis of students’ perceptions. International Journal of Human-ComputerInteraction, 2022, vol. 38, 4, pp. 351–370. doi 10.1080/10447318.2021.1938400 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Marquès J. M. et al. Using a notification, recommendation and monitoring system to improve interaction in an automated assessment tool: An analysis of students’ perceptions. International Journal of Human-ComputerInteraction, 2022, vol. 38, 4, pp. 351–370. doi 10.1080/10447318.2021.1938400 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit32"><label>32</label><citation-alternatives><mixed-citation xml:lang="ru">Sitzmann T., Ely K. Sometimes you need a reminder: The effects of prompting self-regulation on regulatory processes, learning, and attrition. Journal of Applied Psychology, 2010, vol. 95, nr 1, pp. 132–134. doi: 10.1037/a0018080 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Sitzmann T., Ely K. Sometimes you need a reminder: The effects of prompting self-regulation on regulatory processes, learning, and attrition. Journal of Applied Psychology, 2010, vol. 95, nr 1, pp. 132–134. doi: 10.1037/a0018080 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit33"><label>33</label><citation-alternatives><mixed-citation xml:lang="ru">Tabuenca B. et al. Stop and think: Exploring mobile notifications to foster ref lective practice on meta-learning. IEEE Transactions on Learning Technologies, 2014, vol. 8, nr 1, pp. 124–135. doi: 10.1109/tlt.2014.2383611 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Tabuenca B. et al. Stop and think: Exploring mobile notifications to foster ref lective practice on meta-learning. IEEE Transactions on Learning Technologies, 2014, vol. 8, nr 1, pp. 124–135. doi: 10.1109/tlt.2014.2383611 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit34"><label>34</label><citation-alternatives><mixed-citation xml:lang="ru">Wong J. et al. Facilitating goal setting and planning to enhance online self-regulation of learning. Computers in Human Behavior, 2021, vol. 124, 15 p. doi: 10.1016/j.chb.2021.106913 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Wong J. et al. Facilitating goal setting and planning to enhance online self-regulation of learning. Computers in Human Behavior, 2021, vol. 124, 15 p. doi: 10.1016/j.chb.2021.106913 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit35"><label>35</label><citation-alternatives><mixed-citation xml:lang="ru">Saddawi-Konef ka D. et al. Changing resident physician studying behaviors: A randomized, comparative effectiveness trial of goal setting versus use of WOOP. Journal of Graduate Medical Education, 2017, vol. 9, nr 4, pp. 451–457. doi: 10.4300/jgme-d-16–00703.1 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Saddawi-Konef ka D. et al. Changing resident physician studying behaviors: A randomized, comparative effectiveness trial of goal setting versus use of WOOP. Journal of Graduate Medical Education, 2017, vol. 9, nr 4, pp. 451–457. doi: 10.4300/jgme-d-16–00703.1 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit36"><label>36</label><citation-alternatives><mixed-citation xml:lang="ru">Raković M. et al. Examining the critical role of evalu at ion a nd a d apt at ion i n self-reg ulated lea r n i ng. Contemporary Educational Psychology, 2022, vol. 68, 14 p. doi: 10.3102/1690112 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Raković M. et al. Examining the critical role of evalu at ion a nd a d apt at ion i n self-reg ulated lea r n i ng. Contemporary Educational Psychology, 2022, vol. 68, 14 p. doi: 10.3102/1690112 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit37"><label>37</label><citation-alternatives><mixed-citation xml:lang="ru">Broadbent J., Panadero E., Fuller-Tyszkiewicz M. Effects of mobile-app learning diaries vs online training on specific self-regulated learning components. Educational Technology Research and Development, 2020, vol. 68, pp. 2351–2372. doi: 10.1007/s11423-020-09781-6 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Broadbent J., Panadero E., Fuller-Tyszkiewicz M. Effects of mobile-app learning diaries vs online training on specific self-regulated learning components. Educational Technology Research and Development, 2020, vol. 68, pp. 2351–2372. doi: 10.1007/s11423-020-09781-6 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit38"><label>38</label><citation-alternatives><mixed-citation xml:lang="ru">Dignath-van Ewijk C., Fabriz S., Büttner G. Fostering self-regulated lear ning among students by means of an electronic learning diary: A training experiment. Journal of Cognitive Education and Psychology, 2015, vol. 14, nr 1, pp. 77–97. doi: 10.1891/1945–8959.14.1.77 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Dignath-van Ewijk C., Fabriz S., Büttner G. Fostering self-regulated lear ning among students by means of an electronic learning diary: A training experiment. Journal of Cognitive Education and Psychology, 2015, vol. 14, nr 1, pp. 77–97. doi: 10.1891/1945–8959.14.1.77 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit39"><label>39</label><citation-alternatives><mixed-citation xml:lang="ru">Panadero E. A review of self-regulated learning: Six models and four directions for research. Frontiers in Psychology, 2017, vol. 8, p. 422. doi: 10.3389/fpsyg.2017.00422 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Panadero E. A review of self-regulated learning: Six models and four directions for research. Frontiers in Psychology, 2017, vol. 8, p. 422. doi: 10.3389/fpsyg.2017.00422 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit40"><label>40</label><citation-alternatives><mixed-citation xml:lang="ru">Pintrich P. R. The role of goal orientation in selfregulated learning. Handbook of self-regulation, Academic, 2000, 52 p. doi: 10.1016/b978–012109890–2/50043–3 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Pintrich P. R. The role of goal orientation in selfregulated learning. Handbook of self-regulation, Academic, 2000, 52 p. doi: 10.1016/b978–012109890–2/50043–3 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit41"><label>41</label><citation-alternatives><mixed-citation xml:lang="ru">Milligan C., Littlejohn A. How health professionals regulate their learning in massive open online courses. The Internet and Higher Education, 2016, vol. 31, pp. 113–121. doi: 10.1016/j.iheduc.2016.07.005 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Milligan C., Littlejohn A. How health professionals regulate their learning in massive open online courses. The Internet and Higher Education, 2016, vol. 31, pp. 113–121. doi: 10.1016/j.iheduc.2016.07.005 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit42"><label>42</label><citation-alternatives><mixed-citation xml:lang="ru">Chang C. C. et al. Does using e-portfolios for ref lective writing enhance high school students’ self-regulated learning? Technology, Pedagogy and Education, 2016, vol. 25, nr 3, pp. 317–336. doi: 10.1080/1475939x.2015.1042907 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Chang C. C. et al. Does using e-portfolios for ref lective writing enhance high school students’ self-regulated learning? Technology, Pedagogy and Education, 2016, vol. 25, nr 3, pp. 317–336. doi: 10.1080/1475939x.2015.1042907 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit43"><label>43</label><citation-alternatives><mixed-citation xml:lang="ru">Masui C., De Corte E. Learning to reflect and to attribute constructively as basic components of self-regulated learning. British Journal of Educational Psychology, 2005, vol. 75, nr 3, pp. 351–372. doi: 10.1348/000709905x25030 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Masui C., De Corte E. Learning to reflect and to attribute constructively as basic components of self-regulated learning. British Journal of Educational Psychology, 2005, vol. 75, nr 3, pp. 351–372. doi: 10.1348/000709905x25030 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit44"><label>44</label><citation-alternatives><mixed-citation xml:lang="ru">Ganda D. R., Boruchovitch E. Promoting self-regulated learning of Brazilian Preservice student Teachers: results of an intervention Program. Frontiers in Education, 2018, vol. 3, p. 5. doi: 10.3389/feduc.2018.00005 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Ganda D. R., Boruchovitch E. Promoting self-regulated learning of Brazilian Preservice student Teachers: results of an intervention Program. Frontiers in Education, 2018, vol. 3, p. 5. doi: 10.3389/feduc.2018.00005 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit45"><label>45</label><citation-alternatives><mixed-citation xml:lang="ru">Nguyen L. T., Ikeda M. The effects of ePortfolio-based learning model on student self-regulated learning. Active Learning in Higher Education, 2015, vol. 16, nr 3, pp. 197–209. doi: 10.1177/1469787415589532 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Nguyen L. T., Ikeda M. The effects of ePortfolio-based learning model on student self-regulated learning. Active Learning in Higher Education, 2015, vol. 16, nr 3, pp. 197–209. doi: 10.1177/1469787415589532 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit46"><label>46</label><citation-alternatives><mixed-citation xml:lang="ru">Dever D. A. et al. Pedagogical Agent Support and Its Relationship to Learners’ Self-regulated Learning Strategy Use with an Intelligent Tutoring System. In: International Conference on Artificial Intelligence in Education, Springer International Publishing, 2022, pp. 332–343. doi: 10.1007/978-3-031-11644-5_27 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Dever D. A. et al. Pedagogical Agent Support and Its Relationship to Learners’ Self-regulated Learning Strategy Use with an Intelligent Tutoring System. In: International Conference on Artificial Intelligence in Education, Springer International Publishing, 2022, pp. 332–343. doi: 10.1007/978-3-031-11644-5_27 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit47"><label>47</label><citation-alternatives><mixed-citation xml:lang="ru">Cazan A. M. Enhancing self-regulated lear ning by learning journals. Procedia-Social and Behavioral Sciences, 2012, vol. 33, pp. 413–417. doi: 10.1016/j.sbspro.2012.01.154 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Cazan A. M. Enhancing self-regulated lear ning by learning journals. Procedia-Social and Behavioral Sciences, 2012, vol. 33, pp. 413–417. doi: 10.1016/j.sbspro.2012.01.154 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit48"><label>48</label><citation-alternatives><mixed-citation xml:lang="ru">Nückles M. et al. The self-regulation-view in writingto-learn: Using journal writing to optimize cognitive load in self-regulated learning. Educational Psychology Review, 2020, vol. 32, pp. 1089–1126. doi: 10.1007/s10648-020-09541-1 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Nückles M. et al. The self-regulation-view in writingto-learn: Using journal writing to optimize cognitive load in self-regulated learning. Educational Psychology Review, 2020, vol. 32, pp. 1089–1126. doi: 10.1007/s10648-020-09541-1 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit49"><label>49</label><citation-alternatives><mixed-citation xml:lang="ru">Weber F. et al. The GoalTrees Hierarchical Goal-Setting Intervention for Higher Education: Three Formative Studies. In: Open and Inclusive Educational Practice in the Digital World, Springer International Publishing, 2022, pp. 47– 63. doi: 10.1007/978-3-031-18512-0_4 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Weber F. et al. The GoalTrees Hierarchical Goal-Setting Intervention for Higher Education: Three Formative Studies. In: Open and Inclusive Educational Practice in the Digital World, Springer International Publishing, 2022, pp. 47– 63. doi: 10.1007/978-3-031-18512-0_4 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit50"><label>50</label><citation-alternatives><mixed-citation xml:lang="ru">Ibarra-Sáiz M. S., Rod r íg uezGómez G., Boud D. Developing student competence through peer assessment: the role of feedback, self-regulation and evaluative judgement. Higher Education, 2020, vol. 80, nr 1, pp. 137–156. doi: 10.1007/s10734-019-00469-2 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Ibarra-Sáiz M. S., Rod r íg uezGómez G., Boud D. Developing student competence through peer assessment: the role of feedback, self-regulation and evaluative judgement. Higher Education, 2020, vol. 80, nr 1, pp. 137–156. doi: 10.1007/s10734-019-00469-2 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit51"><label>51</label><citation-alternatives><mixed-citation xml:lang="ru">Kulkarni C. et al. Designing scalable and sustainable peer interactions online. In: Design Thinking Research: Taking Breakthrough Innovation Home, Springer International Publishing, 2016, pp. 237–273. doi: 10.1007/978-3-319-40382-3_14 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Kulkarni C. et al. Designing scalable and sustainable peer interactions online. In: Design Thinking Research: Taking Breakthrough Innovation Home, Springer International Publishing, 2016, pp. 237–273. doi: 10.1007/978-3-319-40382-3_14 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit52"><label>52</label><citation-alternatives><mixed-citation xml:lang="ru">Chou C. Y., Zou N. B. An analysis of internal and external feedback in self-regulated learning activities mediated by self-regulated learning tools and open learner models. International Journal of Educational Technolog y in Higher Education, 2020, vol. 17, nr 1, pp. 1–27. doi: 10.1186/s41239–020–00233-y (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Chou C. Y., Zou N. B. An analysis of internal and external feedback in self-regulated learning activities mediated by self-regulated learning tools and open learner models. International Journal of Educational Technolog y in Higher Education, 2020, vol. 17, nr 1, pp. 1–27. doi: 10.1186/s41239–020–00233-y (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit53"><label>53</label><citation-alternatives><mixed-citation xml:lang="ru">Järvelä S., Nguyen A., Hadwin A. Human and artificial intelligence collaboration for socially shared regulation in learning. British Journal of Educational Technology, 2023, vol. 54, nr 5, pp. 1057–1076. (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Järvelä S., Nguyen A., Hadwin A. Human and artificial intelligence collaboration for socially shared regulation in learning. British Journal of Educational Technology, 2023, vol. 54, nr 5, pp. 1057–1076. (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit54"><label>54</label><citation-alternatives><mixed-citation xml:lang="ru">Bransen D. et al. Putting self-regulated learning in context: Integrating self-, co-, and socially shared regulation of learning. Medical Education, 2022, vol. 56, nr 1, pp. 29–36. doi: 10.1111/medu.14566 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Bransen D. et al. Putting self-regulated learning in context: Integrating self-, co-, and socially shared regulation of learning. Medical Education, 2022, vol. 56, nr 1, pp. 29–36. doi: 10.1111/medu.14566 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit55"><label>55</label><citation-alternatives><mixed-citation xml:lang="ru">Zheng X., Luo L., Liu C. Facilitating undergraduates’ online self-regulated learning: The role of teacher feedback. The Asia-Pacific Education Researcher, 2023, vol. 32, nr 6, pp. 805–816. doi: 10.1007/s40299-022-00697-8 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Zheng X., Luo L., Liu C. Facilitating undergraduates’ online self-regulated learning: The role of teacher feedback. The Asia-Pacific Education Researcher, 2023, vol. 32, nr 6, pp. 805–816. doi: 10.1007/s40299-022-00697-8 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit56"><label>56</label><citation-alternatives><mixed-citation xml:lang="ru">Lee Y. F., Hwang G. J., Chen P. Y. Impacts of an AIbased chat bot on college students’ after-class review, academic performance, self-efficacy, learning attitude, and motivation. Educational Technology Research and Development, 2022, vol. 70, nr 5, pp. 1843–1865. doi 10.1007/s11423‑022‑10142‑8 (In Eng.). 57. Lin M. P. C., Chang D. CHAT-ACTS: A pedagogical framework for personalized chatbot to enhance active learning and self-regulated learning. Computers and Education: Artificial Intelligence, 2023, vol. 5, pp. 100–167. doi: 10.1016/j.caeai.2023.100167 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Lee Y. F., Hwang G. J., Chen P. Y. Impacts of an AIbased chat bot on college students’ after-class review, academic performance, self-efficacy, learning attitude, and motivation. Educational Technology Research and Development, 2022, vol. 70, nr 5, pp. 1843–1865. doi 10.1007/s11423‑022‑10142‑8 (In Eng.). 57. Lin M. P. C., Chang D. CHAT-ACTS: A pedagogical framework for personalized chatbot to enhance active learning and self-regulated learning. Computers and Education: Artificial Intelligence, 2023, vol. 5, pp. 100–167. doi: 10.1016/j.caeai.2023.100167 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit57"><label>57</label><citation-alternatives><mixed-citation xml:lang="ru">Schrader C., Grassinger R. Tell me that I can do it better. The effect of attributional feedback from a learning technology on achievement emotions and performance and the moderating role of individual adaptive reactions to errors. Computers &amp; Education, 2021, vol. 161, 30 p. doi: 10.1016/j.compedu.2020.104028 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Schrader C., Grassinger R. Tell me that I can do it better. The effect of attributional feedback from a learning technology on achievement emotions and performance and the moderating role of individual adaptive reactions to errors. Computers &amp; Education, 2021, vol. 161, 30 p. doi: 10.1016/j.compedu.2020.104028 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit58"><label>58</label><citation-alternatives><mixed-citation xml:lang="ru">Wu Y., Schunn C. D. Passive, active, and constr uctive engagement with peer feedback: A revised model of learning from peer feedback. Contemporary Educational Psycholog y, 2023, vol. 73, pp. 102 –160. doi: 10.1016/j.cedpsych.2023.102160 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Wu Y., Schunn C. D. Passive, active, and constr uctive engagement with peer feedback: A revised model of learning from peer feedback. Contemporary Educational Psycholog y, 2023, vol. 73, pp. 102 –160. doi: 10.1016/j.cedpsych.2023.102160 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit59"><label>59</label><citation-alternatives><mixed-citation xml:lang="ru">Davis D. et al. Follow the successful crowd: raising MOOC completion rates through social comparison at scale. In: Proceedings of the Seventh International Learning Analytics &amp; Knowledge Conference, 2017, pp. 454–463. doi: 10.1145/3027385.3027411 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Davis D. et al. Follow the successful crowd: raising MOOC completion rates through social comparison at scale. In: Proceedings of the Seventh International Learning Analytics &amp; Knowledge Conference, 2017, pp. 454–463. doi: 10.1145/3027385.3027411 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit60"><label>60</label><citation-alternatives><mixed-citation xml:lang="ru">Cobos R. Self-Regulated Learning and Active Feedback of MOOC Learners Supported by the Intervention Strategy of a Learning Analytics System. Electronics, 2023, vol. 12, nr 15, pp. 33–68. doi: 10.3390/electronics12153368 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Cobos R. Self-Regulated Learning and Active Feedback of MOOC Learners Supported by the Intervention Strategy of a Learning Analytics System. Electronics, 2023, vol. 12, nr 15, pp. 33–68. doi: 10.3390/electronics12153368 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit61"><label>61</label><citation-alternatives><mixed-citation xml:lang="ru">Matcha W. et al. A systematic review of empirical studies on learning analytics dashboards: A self-regulated learning perspective. IEEE Transactions on Learning Technologies, 2019, vol. 13, nr 2, pp. 226–245. doi: 10.1109/tlt.2019.2916802 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Matcha W. et al. A systematic review of empirical studies on learning analytics dashboards: A self-regulated learning perspective. IEEE Transactions on Learning Technologies, 2019, vol. 13, nr 2, pp. 226–245. doi: 10.1109/tlt.2019.2916802 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit62"><label>62</label><citation-alternatives><mixed-citation xml:lang="ru">Karaoglan Yilmaz F. G., Yilmaz R. Learning analytics intervention improves students’ engagement in online learning. Technology, Knowledge and Learning, 2022, vol. 27, nr 2, pp. 449–460. doi: 10.1007/s10758–021–09547-w (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Karaoglan Yilmaz F. G., Yilmaz R. Learning analytics intervention improves students’ engagement in online learning. Technology, Knowledge and Learning, 2022, vol. 27, nr 2, pp. 449–460. doi: 10.1007/s10758–021–09547-w (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit63"><label>63</label><citation-alternatives><mixed-citation xml:lang="ru">Baadte C. Effects of short-term video-based interventions and instructions on teachers’ feedback skills to support students’ self-regulated learning. European Journal of Psycholog y of Education, 2019, vol. 34, pp. 559 –578. doi: 10.1007/s10212-018-00409-1 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Baadte C. Effects of short-term video-based interventions and instructions on teachers’ feedback skills to support students’ self-regulated learning. European Journal of Psycholog y of Education, 2019, vol. 34, pp. 559 –578. doi: 10.1007/s10212-018-00409-1 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit64"><label>64</label><citation-alternatives><mixed-citation xml:lang="ru">Schippers M. C., Scheepers A. W. A., Peterson J. B. A scalable goal-setting intervention closes both the gender and ethnic minority achievement gap. Palgrave Communications, 2015, vol. 1, nr 1, pp. 1–12. doi: 10.1057/palcomms.2015.14 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Schippers M. C., Scheepers A. W. A., Peterson J. B. A scalable goal-setting intervention closes both the gender and ethnic minority achievement gap. Palgrave Communications, 2015, vol. 1, nr 1, pp. 1–12. doi: 10.1057/palcomms.2015.14 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit65"><label>65</label><citation-alternatives><mixed-citation xml:lang="ru">Vilkova K. The promises and pitfalls of self-regulated learning interventions in MOOCs. Technology, Knowledge and Learning, 2022, vol. 27, nr 3, pp. 689–705. doi: 10.1007/s10758-021-09580-9 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Vilkova K. The promises and pitfalls of self-regulated learning interventions in MOOCs. Technology, Knowledge and Learning, 2022, vol. 27, nr 3, pp. 689–705. doi: 10.1007/s10758-021-09580-9 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit66"><label>66</label><citation-alternatives><mixed-citation xml:lang="ru">Wolters C. A., Hoops L. D. Self-regulated learning interventions for motivationally disengaged college students. In: In T. Cleary. Self-regulated learning interventions with at-risk youth: Enhancing adaptability, performance, and wellbeing, American Psychological Association, 2015, pp. 66–78. doi: 10.1037/14641–004 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Wolters C. A., Hoops L. D. Self-regulated learning interventions for motivationally disengaged college students. In: In T. Cleary. Self-regulated learning interventions with at-risk youth: Enhancing adaptability, performance, and wellbeing, American Psychological Association, 2015, pp. 66–78. doi: 10.1037/14641–004 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit67"><label>67</label><citation-alternatives><mixed-citation xml:lang="ru">Pérez-Álvarez R. A. et al. Characterizing learners’ engagement in MOOCs: An observational case study using the NoteMyProgress tool for supporting self-regulation. IEEE transactions on Learning Technologies, 2020, vol. 13, nr 4, pp. 676–688. doi: 10.1109/tlt.2020.3003220 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Pérez-Álvarez R. A. et al. Characterizing learners’ engagement in MOOCs: An observational case study using the NoteMyProgress tool for supporting self-regulation. IEEE transactions on Learning Technologies, 2020, vol. 13, nr 4, pp. 676–688. doi: 10.1109/tlt.2020.3003220 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit68"><label>68</label><citation-alternatives><mixed-citation xml:lang="ru">Bar nard L. et al. Measuring self-regulation in online and blended learning environments. The Internet and Higher Education, 2009, vol. 12, nr 1, pp. 1–6. doi: 10.1007/s10639–020–10244-x (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Bar nard L. et al. Measuring self-regulation in online and blended learning environments. The Internet and Higher Education, 2009, vol. 12, nr 1, pp. 1–6. doi: 10.1007/s10639–020–10244-x (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit69"><label>69</label><citation-alternatives><mixed-citation xml:lang="ru">Vilkova K., Shcheglova I. Deconstructing self-regulated learning in MOOCs: In search of help-seeking mechanisms. Education and Information Technologies, 2021, vol. 26, nr 1, pp. 17–33. doi: 10.1007/s10639–020–10244-x (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Vilkova K., Shcheglova I. Deconstructing self-regulated learning in MOOCs: In search of help-seeking mechanisms. Education and Information Technologies, 2021, vol. 26, nr 1, pp. 17–33. doi: 10.1007/s10639–020–10244-x (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit70"><label>70</label><citation-alternatives><mixed-citation xml:lang="ru">Han F., Ellis R. A. Self-repor ted and digital-trace measures of computer science students’ self-regulated learning in blended course designs. Education and Information Technologies, 2023, vol. 28, nr 10, pp. 13253–13268. doi: 10.1007s10639-023-11698-5 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Han F., Ellis R. A. Self-repor ted and digital-trace measures of computer science students’ self-regulated learning in blended course designs. Education and Information Technologies, 2023, vol. 28, nr 10, pp. 13253–13268. doi: 10.1007s10639-023-11698-5 (In Eng.).</mixed-citation></citation-alternatives></ref><ref id="cit71"><label>71</label><citation-alternatives><mixed-citation xml:lang="ru">Gupta P., Bamel U. A Study on the Relationship between Domain Specific Self-Efficacy and Self-Regulation in E-learning Contexts. Online Learning, 2023, vol. 27, nr 4. doi: 10.24059/olj.v27i4.3658 (In Eng.).</mixed-citation><mixed-citation xml:lang="en">Gupta P., Bamel U. A Study on the Relationship between Domain Specific Self-Efficacy and Self-Regulation in E-learning Contexts. Online Learning, 2023, vol. 27, nr 4. doi: 10.24059/olj.v27i4.3658 (In Eng.).</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>
