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<article 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" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">RUDN Journal of Psychology and Pedagogics</journal-id><journal-title-group><journal-title xml:lang="en">RUDN Journal of Psychology and Pedagogics</journal-title><trans-title-group xml:lang="ru"><trans-title>Вестник Российского университета дружбы народов. Серия: Психология и педагогика</trans-title></trans-title-group></journal-title-group><issn publication-format="print">2313-1683</issn><issn publication-format="electronic">2313-1705</issn><publisher><publisher-name xml:lang="en">Peoples’ Friendship University of Russia named after Patrice Lumumba (RUDN University)</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">47848</article-id><article-id pub-id-type="doi">10.22363/2313-1683-2025-22-2-337-360</article-id><article-id pub-id-type="edn">VDDJBF</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>PERSONALITY IN CONTEMPORARY EDUCATIONAL ENVIRONMENT</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>ЛИЧНОСТЬ В СОВРЕМЕННОМ ОБРАЗОВАТЕЛЬНОМ ПРОСТРАНСТВЕ</subject></subj-group><subj-group subj-group-type="article-type"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">Artificial intelligence technologies, in-person and online learning in higher education: A review of the impact on perceptual features, psychological climate and academic performance</article-title><trans-title-group xml:lang="ru"><trans-title>Технологии искусственного интеллекта, очное и онлайн-обучение в высшем образовании: обзор влияния на особенности восприятия студентов, академическую успеваемость и психологический климат занятия</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-9300-4825</contrib-id><contrib-id contrib-id-type="scopus">57207950411</contrib-id><contrib-id contrib-id-type="researcherid">AAF-2050-2020</contrib-id><contrib-id contrib-id-type="spin">9283-7824</contrib-id><name-alternatives><name xml:lang="en"><surname>Ulyanina</surname><given-names>Olga A.</given-names></name><name xml:lang="ru"><surname>Ульянина</surname><given-names>Ольга Александровна</given-names></name></name-alternatives><bio xml:lang="en"><p>Doctor of Psychology, Associate Professor, Head of the Federal Coordination Center for the Development of Psychological and Pedagogical Assistance in the Education System of the Russian Federation, Moscow State University of Psychology &amp; Education; Chief Research Fellow of the Center for Applied Linguistic Research and Testing “ISTOK”, Moscow Institute of Physics and Technology</p></bio><bio xml:lang="ru"><p>психологических наук, доцент, руководитель Федерального координационного центра по обеспечению развития психолого-педагогической помощи в системе образования Российской Федерации, Московский государственный психолого-педагогический университет; главный научный сотрудник Центра прикладных лингвистических исследований и тестирования «ИСТОК», Московский физико-технический институт</p></bio><email>ulyaninaoa@mgppu.ru</email><xref ref-type="aff" rid="aff1"/><xref ref-type="aff" rid="aff2"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0006-9233-8894</contrib-id><contrib-id contrib-id-type="researcherid">MTF-7487-2025</contrib-id><name-alternatives><name xml:lang="en"><surname>Vikhrova</surname><given-names>Ekaterina N.</given-names></name><name xml:lang="ru"><surname>Вихрова</surname><given-names>Екатерина Николаевна</given-names></name></name-alternatives><bio xml:lang="en"><p>Ph.D. in Philology, Associate Professor, Associate Professor of the Department of Foreign Languages</p></bio><bio xml:lang="ru"><p>кандидат филологических наук, доцент, доцент департамента иностранных языков</p></bio><email>vikhrova.en@mipt.ru</email><xref ref-type="aff" rid="aff2"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Moscow State University of Psychology &amp; Education</institution></aff><aff><institution xml:lang="ru">Московский государственный психолого-педагогический университет</institution></aff></aff-alternatives><aff-alternatives id="aff2"><aff><institution xml:lang="en">Moscow Institute of Physics and Technology (National Research University)</institution></aff><aff><institution xml:lang="ru">Московский физико-технический институт (национальный исследовательский университет)</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2025-12-30" publication-format="electronic"><day>30</day><month>12</month><year>2025</year></pub-date><volume>22</volume><issue>2</issue><issue-title xml:lang="en">VOL 22, NO2 (2025)</issue-title><issue-title xml:lang="ru">ТОМ 22, №2 (2025)</issue-title><fpage>337</fpage><lpage>360</lpage><history><date date-type="received" iso-8601-date="2025-12-30"><day>30</day><month>12</month><year>2025</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2025, Ulyanina O.A., Vikhrova E.N.</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2025, Ульянина О.А., Вихрова Е.Н.</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="en">Ulyanina O.A., Vikhrova E.N.</copyright-holder><copyright-holder xml:lang="ru">Ульянина О.А., Вихрова Е.Н.</copyright-holder><ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">https://creativecommons.org/licenses/by-nc/4.0</ali:license_ref></license></permissions><self-uri xlink:href="https://journals.rudn.ru/psychology-pedagogics/article/view/47848">https://journals.rudn.ru/psychology-pedagogics/article/view/47848</self-uri><abstract xml:lang="en"><p>Rapid digitalization of higher education and the rise of artificial intelligence (AI) in instruction call for careful evaluation of their impact on students. Traditional face-to-face lectures and those given by an AI-avatar, remote online courses, each create distinct conditions that shape the classroom psychological climate and comfort. Prior research shows AI integration increases engagement, but comparative evidence on comfort, performance, and perception across formats remains limited. The purpose of this review is to examine students’ perceptions of three instructional formats (in-person, online, AI-avatar lectures), their impact on class psychological climate and academic performance, and the risks and prospects of AI use in higher education. This narrative review synthesizes literature on AI applications in higher education over approximately the past seven years, drawing on Russian (RSCI, eLIBRARY) and international (Scopus, Web of Science) databases, as well as relevant reports and surveys. Empirical studies (2018–2025, Russian/English) comparing pedagogical formats or assessing AI’s impact on students were included, while incomplete reports, duplicates, and irrelevant works were excluded. Review findings indicate that most students rated face-to-face instruction as most comfortable, though well-designed online courses and realistic avatar lectures yielded comparable satisfaction. No single format was universally superior; instructional effectiveness depended on contextual factors. Online learning outcomes varied; in some cases they equaled or exceeded in-person results. Early studies of AI-avatar lectures showed neutral-to-positive reception, noting clear speech and accessibility. The presence of a virtual instructor positively influenced satisfaction, and visual feedback proved more effective than text-only interaction. Students’ digital literacy facilitated adaptation, while skill gaps or low trust contributed to anxiety. Risks included reduced live communication, limited avatar authenticity, academic dishonesty, and ethical concerns. Overall, AI-avatars and digital technologies can enhance interactivity and flexibility in higher education but cannot fully replace live human contact. Therefore, a balanced, human-centered implementation that accounts for psychological factors is recommended.</p></abstract><trans-abstract xml:lang="ru"><p>Стремительная цифровизация высшего образования и рост использования искусственного интеллекта (ИИ) в обучении требуют тщательной оценки их влияния на студентов. Традиционные очные, дистанционные онлайн и лекции с ИИ-аватарами создают различные условия, формирующие психологический климат и комфорт на занятиях. Ранее проведенные исследования показывают, что интеграция ИИ повышает вовлеченность студентов, но сравнительные данные о комфорте, эффективности и восприятии разных форматов обучения остаются ограниченными. Цель данного обзора — изучить восприятие студентами трех форматов обучения (очные, онлайн, лекции с ИИ-аватарами), их влияние на психологический климат занятий и академическую успеваемость, а также риски и перспективы использования ИИ в вузах. Нарративный обзор литературы за последние ~7 лет по теме применения ИИ в высшем образовании включил публикации из российских (РИНЦ, eLIBRARY) и международных баз данных (Scopus, Web of Science и др.), а также отчеты и результаты опросов, соответствующие критериям включения (эмпирические исследования, сравнивающие форматы обучения или оценивающие влияние ИИ-инструментов на студентов; публикации 2018–2025 гг. на русском или английском языках) и исключения (неполные отчеты, дубли, работы вне сферы высшего образования). В результате установлено, что большинство студентов оценивают очное обучение как наиболее комфортное, хотя хорошо разработанные онлайн-курсы и реалистичные лекции с аватарами дали сопоставимый уровень удовлетворенности. Ни один формат не оказался универсально лучшим; эффективность зависела от контекста. Результаты оценки онлайн-обучения варьируются: в некоторых случаях они сравнимы или превосходят оценки очных занятий. Исследования лекций с ИИ-аватарами показали нейтрально-позитивное восприятие студентами, отметившими четкую речь и доступность. Виртуальное присутствие преподавателя повышало удовлетворенность и вовлеченность студентов, а визуальная обратная связь оказалась эффективнее текстовой. Цифровая грамотность студентов способствовала их адаптации к новым форматам, тогда как недостаток навыков и низкий уровень доверия к технологиям вызывали тревогу. Риски применения ИИ в высшем образовании включают сокращение живого общения, ограниченную аутентичность аватаров, академическую нечестность и этические вопросы. Таким образом, ИИ-аватары и цифровые технологии могут повысить интерактивность и гибкость обучения, но не способны заменить живой человеческий контакт. Поэтому требуется сбалансированное, ориентированное на человека внедрение ИИ в высшее образование с учетом психологических факторов.</p></trans-abstract><kwd-group xml:lang="en"><kwd>artificial intelligence</kwd><kwd>higher education</kwd><kwd>digital avatar</kwd><kwd>online learning</kwd><kwd>inperson learning</kwd><kwd>psychological climate</kwd><kwd>perception</kwd><kwd>academic performance</kwd><kwd>educational experience</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>искусственный интеллект</kwd><kwd>высшее образование</kwd><kwd>цифровой аватар</kwd><kwd>онлайн-обучение</kwd><kwd>очное обучение</kwd><kwd>психологический климат</kwd><kwd>восприятие</kwd><kwd>успеваемость</kwd><kwd>образовательный опыт</kwd></kwd-group><funding-group><award-group><funding-source><institution-wrap><institution xml:lang="ru">Исследование проведено в рамках соглашения с Минобрнауки России от 17.01.2025 № 075-03-2025-662 (шифр FSMG-2025-0086, тема проекта: «Прикладные исследования по внедрению технологий искусственного интеллекта в высшем образовании»).</institution></institution-wrap><institution-wrap><institution xml:lang="en">The research was conducted within the framework of the agreement with the Ministry of Science and Higher Education of the Russian Federation dated January 17, 2025, number 075-03-2025-662 (code FSMG-2025-0086, project topic: “Applied research on the implementation of artificial intelligence technologies in higher education”).</institution></institution-wrap></funding-source></award-group></funding-group></article-meta><fn-group/></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Adnan, M., &amp; Anwar, K. (2020). Online learning amid the COVID-19 pandemic: Students perspectives. Journal of Pedagogical Sociology and Psychology, 2(1), 45–51. https://doi.org/10.33902/jpsp.2020261309</mixed-citation></ref><ref id="B2"><label>2.</label><mixed-citation>Alarifi, B.N., &amp; Song, S. (2024). Online vs in-person learning in higher education: effects on student achievement and recommendations for leadership. Humanities and Social Sciences Communications, 11(1), 86. https://doi.org/10.1057/s41599-023-02590-1</mixed-citation></ref><ref id="B3"><label>3.</label><mixed-citation>Allen, I.E., &amp; Seaman, J. (2017). Digital learning compass: Distance education enrollment report 2017. Wellesley, MA: Babson Survey Research Group.</mixed-citation></ref><ref id="B4"><label>4.</label><mixed-citation>Almazova, N., Krylova, E., Rubtsova, A., &amp; Odinokaya, M. (2020). Challenges and opportunities for russian higher education amid COVID-19: Teachers’ perspective. Education Sciences, 10(12), 368. https://doi.org/10.3390/educsci10120368</mixed-citation></ref><ref id="B5"><label>5.</label><mixed-citation>Apoki, U.C., Hussein, A.M.A., Al-Chalabi, H.K.M., Badica, C., &amp; Mocanu, M.L. (2022). The role of pedagogical agents in personalised adaptive learning: A review. Sustainability, 14(11), 6442. https://doi.org/10.3390/su14116442</mixed-citation></ref><ref id="B6"><label>6.</label><mixed-citation>Audet, É.C., Levine, S.L., Metin, E., Koestner, S., &amp; Barcan, S. (2021). Zooming their way through university: Which Big 5 traits facilitated students’ adjustment to online courses during the COVID-19 pandemic. Personality and Individual Differences, 180, 110969. https://doi.org/10.1016/j.paid.2021.110969</mixed-citation></ref><ref id="B7"><label>7.</label><mixed-citation>Bailenson, J.N. (2021). Nonverbal overload: A theoretical argument for the causes of Zoom fatigue. Technology, Mind, and Behavior, 2(1). https://doi.org/10.1037/tmb0000030</mixed-citation></ref><ref id="B8"><label>8.</label><mixed-citation>Balkaya, S., &amp; Akkucuk, U. (2021). Adoption and use of learning management systems in education: The role of playfulness and self-management. Sustainability, 13(3), 1127. https://doi.org/10.3390/su13031127</mixed-citation></ref><ref id="B9"><label>9.</label><mixed-citation>Bao, W. (2020). COVID-19 and online teaching in higher education: A case study of Peking University. Human Behavior and Emerging Technologies, 2(2), 113–115. https:// doi.org/10.1002/hbe2.191</mixed-citation></ref><ref id="B10"><label>10.</label><mixed-citation>Baticulon, R.E., Sy, J.J., Alberto, N.R.I., Baron, M.B.C., Mabulay, R.E.C., Rizada, L.G.T., Tiu, C.J.S., Clarion, C.A., &amp; Reyes, J.C.B. (2021). Barriers to online learning in the time of COVID-19: A national survey of medical students in the Philippines. Medical Science Educator, 31(2), 615–626. https://doi.org/10.1007/s40670-021-01231-z</mixed-citation></ref><ref id="B11"><label>11.</label><mixed-citation>Bernard, R.M., Abrami, P.C., Borokhovski, E., Wade, C.A., Tamim, R.M., Surkes, M.A., &amp; Bethel, E.C. (2009). A meta-analysis of three types of interaction treatments in distance education. Review of Educational Research, 79(3), 1243–1289. https:// doi.org/10.3102/0034654309333844</mixed-citation></ref><ref id="B12"><label>12.</label><mixed-citation>Bernard, R.M., Abrami, P.C., Lou, Y., Borokhovski, E., Wade, A., Wozney, L., Wallet, P.A., Fiset, M., &amp; Huang, B. (2004). How does distance education compare with classroom instruction? A meta-analysis of the empirical literature. Review of Educational Research, 74(3), 379–439. https://doi.org/10.3102/00346543074003379</mixed-citation></ref><ref id="B13"><label>13.</label><mixed-citation>Bernard, R.M., Borokhovski, E., Schmid, R.F., Tamim, R.M., &amp; Abrami, P.C. (2014). A meta-analysis of blended learning and technology use in higher education: From the general to the applied. Journal of Computing in Higher Education, 26(1), 87–122. https:// doi.org/10.1007/s12528-013-9077-3</mixed-citation></ref><ref id="B14"><label>14.</label><mixed-citation>Besser, A., Flett, G.L., &amp; Zeigler-Hill, V. (2022). Adaptability to a sudden transition to online learning during the COVID-19 pandemic: Understanding the challenges for students. Scholarship of Teaching and Learning in Psychology, 8(2), 85–105. https:// doi.org/10.1037/stl0000198</mixed-citation></ref><ref id="B15"><label>15.</label><mixed-citation>Bond, M., Bedenlier, S., Marín, V.I., &amp; Händel, M. (2021). Emergency remote teaching in higher education: Mapping the first global online semester. International Journal of Educational Technology in Higher Education, 18(1), 50. https://doi.org/10.1186/s41239-021-00282-x</mixed-citation></ref><ref id="B16"><label>16.</label><mixed-citation>Bondarenko, N.V., Varlamova, T.A., Gokhberg, L.M., Zorina, O.A., Kuznetsova, V.I., Ozerova, O.K., Portnyagina, O.N., Shkaleva, E.V., &amp; Schugal, N.B. (2025). Indicators of Education in the Russian Federation: 2025: Data Book. Moscow: HSE University. (In Russ.) https://doi.org/10.17323/978-5-7598-3030-6</mixed-citation></ref><ref id="B17"><label>17.</label><mixed-citation>Bono, R., Núñez-Peña, M.I., Campos-Rodríguez, C., González-Gómez, B., &amp; Quera, V. (2024). Sudden transition to online learning: Exploring the relationships among measures of student experience. International Journal of Educational Research Open, 6, 100332. https://doi.org/10.1016/j.ijedro.2024.100332</mixed-citation></ref><ref id="B18"><label>18.</label><mixed-citation>Broadbent, J. (2017). Comparing online and blended learner’s self-regulated learning strategies and academic performance. The Internet and Higher Education, 33, 24–32. https:// doi.org/10.1016/j.iheduc.2017.01.004</mixed-citation></ref><ref id="B19"><label>19.</label><mixed-citation>Broadbent, J., &amp; Poon, W.L. (2015). Self-regulated learning strategies &amp; academic achievement in online higher education learning environments: A systematic review. The Internet and Higher Education, 27, 1–13. https://doi.org/10.1016/j.iheduc.2015.04.007</mixed-citation></ref><ref id="B20"><label>20.</label><mixed-citation>Clark, R.C., &amp; Mayer, R.E. (Eds.). (2016). e-Learning and the science of instruction: Proven guidelines for consumers and designers of multimedia learning. Hoboken, NJ: John Wiley &amp; Sons, Inc. https://doi.org/10.1002/9781119239086</mixed-citation></ref><ref id="B21"><label>21.</label><mixed-citation>Coman, C., Țîru, L.G., Meseșan-Schmitz, L., Stanciu, C., &amp; Bularca, M.C. (2020). Online teaching and learning in higher education during the coronavirus pandemic: Students’ perspective. Sustainability, 12(24), 10367. https://doi.org/10.3390/su122410367</mixed-citation></ref><ref id="B22"><label>22.</label><mixed-citation>Dhawan, S. (2020). Online learning: A panacea in the time of COVID-19 crisis. Journal of Educational Technology Systems, 49(1), 5–22. https://doi.org/10.1177/0047239520934018</mixed-citation></ref><ref id="B23"><label>23.</label><mixed-citation>Ferri, F., Grifoni, P., &amp; Guzzo, T. (2020). Online learning and emergency remote teaching: Opportunities and challenges in emergency situations. Societies, 10(4), 86. https:// doi.org/10.3390/soc10040086</mixed-citation></ref><ref id="B24"><label>24.</label><mixed-citation>Fu, P., Gao, C., Chen, X., Zhang, Z., Chen, J., &amp; Yang, D. (2024). Proactive personality and its impact on online learning engagement through positive emotions and learning motivation. Scientific Reports, 14(1), 28144. https://doi.org/10.1038/s41598-024-79776-3</mixed-citation></ref><ref id="B25"><label>25.</label><mixed-citation>Garris, C.P., &amp; Fleck, B. (2022). Student evaluations of transitioned-online courses during the COVID-19 pandemic. Scholarship of Teaching and Learning in Psychology, 8(2), 119–139. https://doi.org/10.1037/stl0000229</mixed-citation></ref><ref id="B26"><label>26.</label><mixed-citation>Garrison, D.R. (2011). E-Learning in the 21st century: A framework for research and practice (2nd ed.). New York: Routledge. https://doi.org/10.4324/9780203838761</mixed-citation></ref><ref id="B27"><label>27.</label><mixed-citation>Garrison, D.R., Anderson, T., &amp; Archer, W. (1999). Critical inquiry in a text-based environment: Computer conferencing in higher education. The Internet and Higher Education, 2(2–3), 87–105. https://doi.org/10.1016/s1096-7516(00)00016-6</mixed-citation></ref><ref id="B28"><label>28.</label><mixed-citation>Hodges, C.B., Moore, S., Lockee, B.B., Trust, T., &amp; Bond, M.A. (2024). The difference between emergency remote teaching and online learning. In T. Martindale, T.B. Amankwatia, L. Cifuentes &amp; A.A. Piña (Eds.), Handbook of research in online learning (pp. 511–522). Leiden: Brill. https://doi.org/10.1163/9789004702813_021</mixed-citation></ref><ref id="B29"><label>29.</label><mixed-citation>Holmes, W., Porayska-Pomsta, K., Holstein, K., Sutherland, E., Baker, T., Shum, S.B., Santos, O.C., Rodrigo, M.T., Cukurova, M., Bittencourt, I.I., &amp; Koedinger, K.R. (2022). Ethics of AI in education: Towards a community-wide framework. International Journal of Artificial Intelligence in Education, 32(3), 504–526. https://doi.org/10.1007/s40593-021-00239-1</mixed-citation></ref><ref id="B30"><label>30.</label><mixed-citation>Kizilcec, R.F., Pérez-Sanagustín, M., &amp; Maldonado, J.J. (2017). Self-regulated learning strategies predict learner behavior and goal attainment in Massive Open Online Courses. Computers &amp; Education, 104, 18–33. https://doi.org/10.1016/j.compedu.2016.10.001</mixed-citation></ref><ref id="B31"><label>31.</label><mixed-citation>Kostikova, L.P., Yesenina, N.Ye., &amp; Olkov, A.S. (2025). Artificial intelligence in the educational environment of the modern university: the results of the student survey. Scientific-Methodological Electronic Journal “Koncept”, (2), 93–109. (In Russ.) https:// doi.org/10.24412/2304-120X-2025-11022</mixed-citation></ref><ref id="B32"><label>32.</label><mixed-citation>Lancaster, T., &amp; Cotarlan, C. (2021). Contract cheating by STEM students through a file sharing website: A Covid-19 pandemic perspective. International Journal for Educational Integrity, 17(1), 3. https://doi.org/10.1007/s40979-021-00070-0</mixed-citation></ref><ref id="B33"><label>33.</label><mixed-citation>Lowenthal, P.R., &amp; Snelson, C. (2017). In search of a better understanding of social presence: An investigation into how researchers define social presence. Distance Education, 38(2), 141–159. https://doi.org/10.1080/01587919.2017.1324727</mixed-citation></ref><ref id="B34"><label>34.</label><mixed-citation>Marinova, M.M. (2022). The influence of the VR environment on the level of anxiety. Experimental Psychology (Russia), 15(2), 49–58. (In Russ.) https://doi.org/10.17759/exppsy.2022150204</mixed-citation></ref><ref id="B35"><label>35.</label><mixed-citation>Mayer, R.E. (2020). Multimedia Learning (3rd ed.). Cambridge: Cambridge University Press. https://doi.org/10.1017/9781316941355</mixed-citation></ref><ref id="B36"><label>36.</label><mixed-citation>Means, B., Toyama, Y., Murphy, R., Baki, M., &amp; Jones, K. (2010). Evaluation of Evidence-Based Practices in Online Learning: A Meta-Analysis and Review of Online Learning Studies. Washington, DC: US Department of Education.</mixed-citation></ref><ref id="B37"><label>37.</label><mixed-citation>Means, B., Toyama, Y., Murphy, R., &amp; Baki, M. (2013). The effectiveness of online and blended learning: A meta-analysis of the empirical literature. Teachers College Record: The Voice of Scholarship in Education, 115(3), 1–47. https://doi.org/10.1177/016146811311500307</mixed-citation></ref><ref id="B38"><label>38.</label><mixed-citation>Mishra, L., Gupta, T., &amp; Shree, A. (2020). Online teaching-learning in higher education during lockdown period of COVID-19 pandemic. International Journal of Educational Research Open, 1, 100012. https://doi.org/10.1016/j.ijedro.2020.100012</mixed-citation></ref><ref id="B39"><label>39.</label><mixed-citation>OECD. (2021). OECD digital education outlook 2021: Pushing the frontiers with artificial intelligence, blockchain and robots. Paris: OECD Publishing. https:// doi.org/10.1787/589b283f-en</mixed-citation></ref><ref id="B40"><label>40.</label><mixed-citation>Oliveira, W., Hamari, J., Joaquim, S., Toda, A.M., Palomino, P.T., Vassileva, J., &amp; Isotani, S. (2022). The effects of personalized gamification on students’ flow experience, motivation, and enjoyment. Smart Learning Environments, 9(1), 16. https://doi.org/10.1186/s40561-022-00194-x</mixed-citation></ref><ref id="B41"><label>41.</label><mixed-citation>Osipova, L.B. (2024). Artificial intelligence in education: real opportunities and prospects. PNRPU Sociology and Economics Bulletin, (1), 60–73. (In Russ.) https://doi.org/10.15593/2224-9354/2024.1.5</mixed-citation></ref><ref id="B42"><label>42.</label><mixed-citation>Palvia, S., Aeron, P., Gupta, P., Mahapatra, D., Parida, R., Rosner, R., &amp; Sindhi, S. (2018). Online education: Worldwide status, challenges, trends, and implications. Journal of Global Information Technology Management, 21(4), 233–241. https://doi.org/10.1080/1097198x.2018.1542262</mixed-citation></ref><ref id="B43"><label>43.</label><mixed-citation>Panigrahi, R., Srivastava, P.R., &amp; Sharma, D. (2018). Online learning: Adoption, continuance, and learning outcome — A review of literature. International Journal of Information Management, 43, 1–14. https://doi.org/10.1016/j.ijinfomgt.2018.05.005</mixed-citation></ref><ref id="B44"><label>44.</label><mixed-citation>Pobokin, P.A., Ivchenkova, J.Y., &amp; Kapustina, V.U. (2021). Correction of psychological defenses and anxiety of students using VR training programs. Psychological-Educational Studies, 13(4), 147–161. (In Russ.) https://doi.org/10.17759/psyedu.2021130409</mixed-citation></ref><ref id="B45"><label>45.</label><mixed-citation>Polushko, A.O., &amp; Saulenko, N.I. (2021). Influence of distance learning on the psycho-emotional state of students. Forcipe, 4(S1), 711. (In Russ.)</mixed-citation></ref><ref id="B46"><label>46.</label><mixed-citation>Radha, R., Mahalakshmi, K., Kumar, V.S., &amp; Saravanakumar, A.R. (2020). E-learning during lockdown of COVID-19 pandemic: A global perspective. International Journal of Control and Automation, 13(4), 1088–1099.</mixed-citation></ref><ref id="B47"><label>47.</label><mixed-citation>Rahman, M.M., &amp; Watanobe, Y. (2023). ChatGPT for education and research: Opportunities, threats, and strategies. Applied Sciences, 13(9), 5783. https://doi.org/10.3390/app13095783</mixed-citation></ref><ref id="B48"><label>48.</label><mixed-citation>Richardson, J.C., Maeda, Y., Lv, J., &amp; Caskurlu, S. (2017). Social presence in relation to students’ satisfaction and learning in the online environment: A meta-analysis. Computers in Human Behavior, 71, 402–417. https://doi.org/10.1016/j.chb.2017.02.001</mixed-citation></ref><ref id="B49"><label>49.</label><mixed-citation>Richter, S., Kishore, S., Piven, I., Dodd, P., &amp; Bate, G. (2025). Chatbots in tertiary education: Exploring the impact of warm and competent avatars on self-directed learning. British Journal of Educational Technology, 56(5), 2102–2124. https://doi.org/10.1111/bjet.13610</mixed-citation></ref><ref id="B50"><label>50.</label><mixed-citation>Schroeder, N.L., Adesope, O.O., &amp; Gilbert, R.B. (2013). How effective are pedagogical agents for learning? A meta-analytic review. Journal of Educational Computing Research, 49(1), 1–39. https://doi.org/10.2190/ec.49.1.a</mixed-citation></ref><ref id="B51"><label>51.</label><mixed-citation>Tan, S.F. (2024). Perceptions of students on artificial intelligence-generated content avatar utilization in learning management system. Asian Association of Open Universities Journal, 19(2), 170–185. https://doi.org/10.1108/aaouj-12-2023-0142</mixed-citation></ref><ref id="B52"><label>52.</label><mixed-citation>Ukenova, A., Bekmanova, G., Zaki, N., Kikimbayev, M., &amp; Altaibek, M. (2025). Assessment and improvement of avatar-based learning system: From linguistic structure alignment to sentiment-driven expressions. Sensors, 25(6), 1921. https://doi.org/10.3390/s25061921</mixed-citation></ref><ref id="B53"><label>53.</label><mixed-citation>Vallis, C., Wilson, S., Gozman, D., &amp; Buchanan, J. (2024). Student perceptions of AI-generated avatars in teaching business ethics: We might not be impressed. Postdigital Science and Education, 6(2), 537–555. https://doi.org/10.1007/s42438-023-00407-7</mixed-citation></ref><ref id="B54"><label>54.</label><mixed-citation>Vo, H.M., Zhu, C., &amp; Diep, N.A. (2017). The effect of blended learning on student performance at course-level in higher education: A meta-analysis. Studies in Educational Evaluation, 53, 17–28. https://doi.org/10.1016/j.stueduc.2017.01.002</mixed-citation></ref><ref id="B55"><label>55.</label><mixed-citation>Yarullina, L.R. (2020). Digital learning in higher school: Psychological risks and effects. World of Science. Pedagogy and Psychology, 8(6), 30. (In Russ.)</mixed-citation></ref><ref id="B56"><label>56.</label><mixed-citation>Yokoyama, S. (2019). Academic self-efficacy and academic performance in online learning: A mini review. Frontiers in Psychology, 9, 2794. https://doi.org/10.3389/fpsyg.2018.02794</mixed-citation></ref><ref id="B57"><label>57.</label><mixed-citation>Zawacki-Richter, O., Marín, V.I., Bond, M., &amp; Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 39. https://doi.org/10.1186/s41239-019-0171-0</mixed-citation></ref><ref id="B58"><label>58.</label><mixed-citation>Zhang, R., &amp; Wu, Q. (2024). Impact of using virtual avatars in educational videos on user experience. Scientific Reports, 14(1), 6592. https://doi.org/10.1038/s41598-024-56716-9</mixed-citation></ref><ref id="B59"><label>59.</label><mixed-citation>Zhao, Y., Lei, J., Lai, B.Y.C., &amp; Tan, H.S. (2005). What makes the difference? A practical analysis of research on the effectiveness of distance education. Teachers College Record: The Voice of Scholarship in Education, 107(8), 1836–1884. https://doi.org/10.1111/j.1467-9620.2005.00544.x</mixed-citation></ref></ref-list></back></article>
