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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">Vestnik of Samara State Technical University Psychological and Pedagogical Sciences</journal-id><journal-title-group><journal-title xml:lang="en">Vestnik of Samara State Technical University Psychological and Pedagogical Sciences</journal-title><trans-title-group xml:lang="ru"><trans-title>Вестник Самарского государственного технического университета. Серия: Психолого-педагогические науки</trans-title></trans-title-group></journal-title-group><issn publication-format="print">1991-8569</issn><issn publication-format="electronic">2712-892X</issn><publisher><publisher-name xml:lang="en">Samara State Technical University</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">706542</article-id><article-id pub-id-type="doi">10.17673/vsgtu-pps.2026.2.12</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>Educational psychology</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>Психология образования</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">Psycholinguistic markers of a comfortable educational environment for students in the context of digital transformation</article-title><trans-title-group xml:lang="ru"><trans-title>Психолингвистические маркеры комфортной образовательной среды студентов в условиях цифровой трансформации</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><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><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>Doc. Psych. Sci., Associate Professor, Head of the Federal Coordination Center for the Development of Psychological and Pedagogical Assistance in the Education System of the Russian Federation, Chief Research Fellow of the Center for Applied Linguistic Research and Testing “ISTOK”</p></bio><bio xml:lang="ru"><p>доктор психологических наук, доцент, руководитель Федерального координационного центра по обеспечению развития психолого-педагогической помощи в системе образования Российской Федерации, главный научный сотрудник Центра прикладных лингвистических исследований и тестирования «ИСТОК»</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><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 Николаева</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>Cand. Philol. Sci., Associate Professor at the Department of Foreign Languages</p></bio><bio xml:lang="ru"><p>кандидат филологических наук, доцент, департамент иностранных языков</p></bio><email>vikhrova.en@mipt.ru</email><xref ref-type="aff" rid="aff2"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4480-6642</contrib-id><name-alternatives><name xml:lang="en"><surname>Marunevich</surname><given-names>Oksana V.</given-names></name><name xml:lang="ru"><surname>Маруневич</surname><given-names>Оксана Викторовна</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>Cand. Philol. Sci., Associate Professor at the Department of Foreign Languages</p></bio><bio xml:lang="ru"><p>кандидат филологических наук, доцент, департамент иностранных языков</p></bio><email>marunevich.ov@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="2026-07-15" publication-format="electronic"><day>15</day><month>07</month><year>2026</year></pub-date><volume>23</volume><issue>2</issue><issue-title xml:lang="en"/><issue-title xml:lang="ru"/><fpage>187</fpage><lpage>200</lpage><history><date date-type="received" iso-8601-date="2026-04-21"><day>21</day><month>04</month><year>2026</year></date><date date-type="accepted" iso-8601-date="2026-05-15"><day>15</day><month>05</month><year>2026</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2026, Ulyanina O.A., Vikhrova E.N., Marunevich O.V.</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2026, Ульянина О.А., Вихрова Е.Н., Маруневич О.В.</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="en">Ulyanina O.A., Vikhrova E.N., Marunevich O.V.</copyright-holder><copyright-holder xml:lang="ru">Ульянина О.А., Вихрова Е.Н., Маруневич О.В.</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/4.0</ali:license_ref></license></permissions><self-uri xlink:href="https://vestnik-pp.samgtu.ru/1991-8569/article/view/706542">https://vestnik-pp.samgtu.ru/1991-8569/article/view/706542</self-uri><abstract xml:lang="en"><p>This study addresses the need to understand educational well-being in the context of digital transformation, where learning extends beyond conventional classroom formats. The social significance lies in identifying conditions that support students’ psychological comfort and engagement in both human- and technology-mediated settings. The aim is to reconstruct students’ subjective representations of a comfortable learning environment. The methodology combines qualitative content analysis with a psycholinguistic approach, focusing on markers of interaction (e.g., pronominal framing, modality). The empirical material consists of two corpora of essays describing an “ideal” and an “uncomfortable” lesson. Deductive and inductive coding procedures were applied, with particular attention to the parameter of reflected subjectness and the degree of dialogicity within student–teacher–AI configurations. The results indicate that the perception of an ideal lesson prioritizes psychological safety, predictability, dialogic interaction. In contrast, uncomfortable learning is associated with stress, threat of evaluation, disrupted group dynamics. Positive scenarios are characterized by inclusive pronouns (“we”) and permissive modality (“can”); negative scenarios imply individualization (“I”) and prohibitive expressions (“must,” “cannot”). The teacher seems a key regulator of both comfort and threat; despite being explicitly prompted in the task, references to AI-agents remain peripheral, suggesting that transition to a triadic “creative partnership” model is not yet fully internalized and continues to rely on the teacher as the primary source of psychological safety. The findings can be applied in developing supportive learning environments and pedagogical models of creative partnership. Psycholinguistic markers provide a sensitive instrument for diagnosing well-being in new learning formats, identifying the psychological and interactional conditions to make a shift from teacher-centered regulation to creative partnerships with AI psychologically viable.</p></abstract><trans-abstract xml:lang="ru"><p>Исследование направлено на понимание особенностей психологического благополучия в условиях цифровой трансформации систем образования и выхода за рамки привычных форматов аудиторных занятий. Социальная значимость заключается в выявлении факторов поддержания психологического комфорта и вовлеченности обучающихся в опосредованной человеком и в опосредованной технологиями среде. Целью исследования является реконструкция субъективных представлений студентов о комфортной учебной среде. Методология сочетает качественный контент-анализ с психолингвистическим подходом, с акцентом на маркерах взаимодействия (таких как местоименная рамка, модальность). Эмпирический материал состоит из двух текстовых корпусов, описывающих «идеальное» и «некомфортное» занятия. Были применены дедуктивные и индуктивные процедуры кодирования с особым вниманием к параметру отраженной субъектности и степени диалогичности в конфигурациях «студент – преподаватель – искусственный интеллект». Результаты показали, что в образе идеального урока приоритет отдан психологической безопасности, предсказуемости преподавателя, диалогическому взаимодействию. Напротив, некомфортное обучение связано со стрессом, оценочной угрозой и нарушением атмосферы в группе. Позитивные сценарии характеризуются элементами грамматики совместимости («мы»-рамка) и разрешительной модальностью («можно»); негативные сценарии маркируются атомизацией дискурса («я») и активной запретительной модальностью («нельзя»). Преподавателю отводится основная роль в регулировании и комфорта, и оценочной угрозы. Несмотря на выраженность блока вопросов о роли ИИ, в восприятии обучающихся агенты ИИ остаются на втором плане, что позволяет предположить, что переход к триадической модели «креатив-партнерства» находится на начальном этапе и опора на преподавателя как на основной источник психологической безопасности сохраняется. Полученные результаты могут быть применены при планировании благоприятной образовательной среды и разработке педагогических моделей креатив-партнерства. Психолингвистические маркеры позволяют оценивать уровни благополучия в новых форматах обучения, определяя тем самым психосоциальные условия для возможного перехода от контроля комфортности среды, относящегося к функционалу преподавателя, к креатив-партнерству между человеком и ИИ как фактору психологического благополучия студентов.</p></trans-abstract><kwd-group xml:lang="en"><kwd>educational well-being</kwd><kwd>psycholinguistics</kwd><kwd>digital transformation</kwd><kwd>AI in education</kwd><kwd>creative partnerships</kwd><kwd>student experience</kwd><kwd>reflected subjectness</kwd><kwd>psychological safety</kwd><kwd>assessment practices</kwd><kwd>discourse analysis</kwd><kwd>student – teacher interaction</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>благополучие в образовательной среде</kwd><kwd>психолингвистика</kwd><kwd>цифровая трансформация</kwd><kwd>ИИ в образовании</kwd><kwd>креатив-партнерство</kwd><kwd>опыт обучающихся</kwd><kwd>отраженная субъектность</kwd><kwd>психологическая безопасность</kwd><kwd>методы оценки</kwd><kwd>дискурсивный анализ</kwd><kwd>взаимодействие студента и преподавателя</kwd></kwd-group><funding-group><award-group><funding-source><institution-wrap><institution xml:lang="en">Ministry of Science and Higher Education of the Russian Federation</institution></institution-wrap><institution-wrap><institution xml:lang="ru">Министерство науки и высшего образования Российской Федерации</institution></institution-wrap></funding-source><award-id>075-03-2026-305</award-id></award-group><funding-statement xml:lang="en">The authors acknowledge the support of this research by the Ministry of Science and Higher Education of the Russian Federation under agreement No. 075-03-2026-305 (January 16, 2026), associated with project “Applied Research on the Implementation of Artificial Intelligence Technologies in Higher Education” (project code: FSMG-2025-0086).</funding-statement><funding-statement xml:lang="ru">Авторы выражают благодарность Министерству науки и высшего образования Российской Федерации за поддержку данного исследования в рамках дополнительного соглашения № 075-03-2026-305 (от 16 января 2026 г.), связанного с проектом «Прикладные исследования по внедрению технологий искусственного интеллекта в высшее образование» (шифр научной темы: FSMG-2025-0086).</funding-statement></funding-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Hsieh H.J. Blended learning with mobile learning tools in financial curricula: Challenges, opportunities, and implications for student engagement and achievement. International Journal of Learning, Teaching and Educational Research. 2023. Vol. 22. No. 12. Pp. 368–388. DOI: 10.26803/ijlter.22.12.18.</mixed-citation></ref><ref id="B2"><label>2.</label><mixed-citation>Kumbo L., Mero R.F., Hayuma B.J. Navigating the digital frontier: Innovative pedagogies for effective technology integration in education. Journal of Informatics. 2023. Vol. 3. No. 1. Pp. 14–33. DOI: 10.59645/tji.v3i1.142.</mixed-citation></ref><ref id="B3"><label>3.</label><mixed-citation>Marunevich O., Kolmakova V., Odaruyk I. et al. E-learning and M-learning as tools for enhancing teaching and learning in higher education: A case study of Russia. SHS Web of Conferences. 2021. Vol. 110. Article 03007. DOI: 10.1051/shsconf/202111003007.</mixed-citation></ref><ref id="B4"><label>4.</label><mixed-citation>Zou Y., Kuek F., Feng W. et al. Digital learning in the 21st century: Trends, challenges, and innovations in technology integration. Frontiers in Education. 2025. Vol. 10. Article 1562391. DOI: 10.3389/feduc.2025.1562391.</mixed-citation></ref><ref id="B5"><label>5.</label><mixed-citation>Hagenauer G., Hascher T. Learning enjoyment in early adolescence. Educational Research and Evaluation. 2010. Vol. 16. No. 6. Pp. 495–516. DOI: 10.1080/13803611.2010.550499.</mixed-citation></ref><ref id="B6"><label>6.</label><mixed-citation>Hascher T. Learning and emotion: Perspectives for theory and research. European Educational Research Journal. 2010. Vol. 9. No. 1. Pp. 13–28. DOI: 10.2304/eerj.2010.9.1.13.</mixed-citation></ref><ref id="B7"><label>7.</label><mixed-citation>McCallum F., Price D. Well teachers, well students. Journal of Student Wellbeing. 2010. Vol. 4. No. 1. DOI: 10.21913/JSW.v4i1.599.</mixed-citation></ref><ref id="B8"><label>8.</label><mixed-citation>Seligman M.E.P., Ernst R.M., Gillham J. et al. Positive education: Positive psychology and classroom interventions. Oxford Review of Education. 2009. Vol. 35. No. 3. Pp. 293–311. DOI: 10.1080/03054980902934563.</mixed-citation></ref><ref id="B9"><label>9.</label><mixed-citation>Pascoe M.C., Hetrick S.E., Parker A.G. The impact of stress on students in secondary school and higher education. International Journal of Adolescence and Youth. 2020. Vol. 25. No. 1. Pp. 104–112. DOI: 10.1080/02673843.2019.1596823.</mixed-citation></ref><ref id="B10"><label>10.</label><mixed-citation>Strukova A., Polivanova K. Well-being in education: Modern theories, historical context, empirical studies. Journal of Modern Foreign Psychology. 2023. Vol. 12. No. 3. Pp. 137–148. DOI: 10.17759/jmfp.2023120313.</mixed-citation></ref><ref id="B11"><label>11.</label><mixed-citation>Carter S., Andersen C. Wellbeing in educational contexts (2nd ed.). University of Southern Queensland, 2023.</mixed-citation></ref><ref id="B12"><label>12.</label><mixed-citation>Marcionetti J., Castelli L., Crescentini A. Well-being in education systems. Firenze: Hogrefe, 2017. 353 p.</mixed-citation></ref><ref id="B13"><label>13.</label><mixed-citation>Stanton A., Zandvliet D., Dhaliwal R. et al. Understanding students’ experiences of well-being in learning environments. Higher Education Studies. 2016. Vol. 6. No. 3. Pp. 90–99. DOI: 10.5539/hes.v6n3p90.</mixed-citation></ref><ref id="B14"><label>14.</label><mixed-citation>Ryan R.M., Deci E.L. Self-determination theory: Basic psychological needs in motivation, development, and wellness. NY: Guilford Press. 2017. DOI: 10.1521/978.14625/28806.</mixed-citation></ref><ref id="B15"><label>15.</label><mixed-citation>Howard J.L., Bureau J.S., Guay F. et al. Student motivation and associated outcomes: A meta-analysis from self-determination theory. Perspectives on Psychological Science. 2021. Vol. 16. No. 6. Pp. 1300–1323. DOI: 10.1177/1745691620966789.</mixed-citation></ref><ref id="B16"><label>16.</label><mixed-citation>Roorda D.L., Koomen H.M.Y., Spilt J.L. et al. The influence of affective teacher-student relationships on students' school engagement and achievement: A meta-analytic approach. Review of Educational Research. 2011. Vol. 81. No. 4. Pp. 493–529. DOI: 10.3102/0034654311421793.</mixed-citation></ref><ref id="B17"><label>17.</label><mixed-citation>Wang M.-T., Eccles J.S. School context, achievement motivation, and academic engagement: A longitudinal study of school engagement using a multidimensional perspective. Learning and Instruction. 2013. Vol. 28. Pp. 12–23. DOI: 10.1016/j.learninstruc.2013.04.002.</mixed-citation></ref><ref id="B18"><label>18.</label><mixed-citation>Vieriu A.M., Petrea G. The impact of artificial intelligence (AI) on students’ academic development. Education Sciences. 2025. Vol. 15. No. 3. Article 343. DOI: 10.3390/educsci15030343.</mixed-citation></ref><ref id="B19"><label>19.</label><mixed-citation>Molenaar I. Human-AI collaboration in education: The hybrid future. Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education, ITiCSE, 2025. Vol. 1. Р. 1. Association for Computing Machinery. DOI: 10.1145/3724363.3729083.</mixed-citation></ref><ref id="B20"><label>20.</label><mixed-citation>Chanda R., Sharma S. Human-AI interaction in higher education: Understanding through anthropomorphism. Leveraging Emerging Technologies and Analytics for Empowering Humanity? 2025. Vol. 2. Pp. 233–248. DOI: 10.1007/978-981-96-8582-0_16.</mixed-citation></ref><ref id="B21"><label>21.</label><mixed-citation>Vikhrova E.N., Petrovsky V.A. Creative partnerships between humans and AI: A fourth learning format? Higher Education in Russia. 2025. Vol. 34. No. 12. Pp. 10–32. DOI: 10.31992/0869-3617-2025-34-12-10-32.</mixed-citation></ref><ref id="B22"><label>22.</label><mixed-citation>Ulyanina O.A., Vikhrova E.N. Artificial intelligence technologies, in-person and online learning in higher education: A review of the impact on students’ perceptual features, psychological climate and academic performance. RUDN Journal of Psychology and Pedagogics. 2025. Vol. 22. No. 2. Pp. 337–360. DOI: 10.22363/2313-1683-2025-22-2-337-360.</mixed-citation></ref><ref id="B23"><label>23.</label><mixed-citation>Otto S., Lavi R., Bertel L.B. Human-GenAI interaction for active learning in STEM education: State-of-the-art and future directions. Computers &amp; Education. 2025. Vol. 239. Article 105444. DOI: 10.1016/j.compedu.2025.105444.</mixed-citation></ref><ref id="B24"><label>24.</label><mixed-citation>Kristjánsson K. Positive psychology and positive education: Old wine in new bottles? Educational Psychologist. 2012. Vol. 47. No. 2. Pp. 86–105. DOI: 10.1080/00461520.2011.610678.</mixed-citation></ref><ref id="B25"><label>25.</label><mixed-citation>Nikolskiy V.S. Kommunikativnyy iskusstvennyy intellekt: kontseptualizatsiya novoy real'nosti v obrazovanii [Communicative artificial intelligence: Conceptualizing a new reality in education]. Vysshee obrazovanie v Rossii. 2025. Vol. 34. No. 6. Pp. 152–168. DOI: 10.31992/0869-3617-2025-34-6-152-168.</mixed-citation></ref><ref id="B26"><label>26.</label><mixed-citation>Petrovsky V.A. Printsip otrazhennoy sub"ektnosti v psikhologicheskom issledovanii lichnosti [The principle of reflected subjectness in psychological research of personality]. Voprosy psikhologii. 1985. No. 4. Pp. 17–30. Retrieved March 1, 2026. https://www.voppsy.ru/issues/1985/854/854017.htm (Accessed November 24, 2025).</mixed-citation></ref><ref id="B27"><label>27.</label><mixed-citation>Petrovsky V.A. Fenomen sub"ektnosti v psikhologii lichnosti [The phenomenon of subjectness in personality psychology.Doctoral dissertation abstract]. Moscow, 1993. 76 p.</mixed-citation></ref><ref id="B28"><label>28.</label><mixed-citation>Petrovsky V.A. Sub"ektnost’: novaya paradigma v obrazovanii [Subjectness: A new paradigm in education]. Psikhologicheskaya nauka i obrazovanie. 1996. Vol. 1. No. 3. Article 11. Retrieved March 1, 2026. https://psyjournals.ru/journals/pse/archive/1996_n3/Petrovskij (Accessed October 21, 2025).</mixed-citation></ref><ref id="B29"><label>29.</label><mixed-citation>Edmondson A. Psychological safety and learning behavior in work teams. Administrative Science Quarterly. 1999. Vol. 44. No. 2. Pp. 350–383. DOI: 10.2307/266699.</mixed-citation></ref><ref id="B30"><label>30.</label><mixed-citation>Black P., Wiliam D. Assessment and classroom learning. Assessment in Education: Principles, Policy &amp; Practice. 1998. Vol. 5. No. 1. Pp. 7–74. DOI: 10.1080/0969595980050102.</mixed-citation></ref><ref id="B31"><label>31.</label><mixed-citation>Hattie J.A., Timperley H. The power of feedback. Review of Educational Research. 2007. Vol. 77. No. 1. Pp. 81–112. DOI: 10.3102/003465430298487.</mixed-citation></ref><ref id="B32"><label>32.</label><mixed-citation>Dweck C.S., Leggett E.L. A social-cognitive approach to motivation and personality. Psychological Review. 1988. Vol. 95. No. 2. Pp. 256–273. DOI: 10.1037/0033-295X.95.2.256</mixed-citation></ref><ref id="B33"><label>33.</label><mixed-citation>Dickerson S.S., Kemeny M.E. Acute stressors and cortisol responses: A theoretical integration and synthesis of laboratory research. Psychological Bulletin. 2004. Vol. 130. No. 3. Pp. 355–391. DOI: 10.1037/0033-2909.130.3.355.</mixed-citation></ref><ref id="B34"><label>34.</label><mixed-citation>Arnsten A.F.T. Stress weakens prefrontal networks: Molecular insults to higher cognition. Nature Neuroscience. 2015. Vol. 18. No. 10. Pp. 1376–1385. DOI: 10.1038/nn.4087.</mixed-citation></ref><ref id="B35"><label>35.</label><mixed-citation>Kornilova T.V. Tolerantnost’ k neopredelennosti i emotsional’nyi intellekt pri prinyatii reshenii v usloviyakh podskazki [Tolerance for uncertainty and emotional intelligence in decision-making under cue conditions]. Psikhologiya. Zhurnal Vysshei shkoly ekonomiki. 2014. Vol. 11. No. 4. Pp. 19–36. URL: https://cyberleninka.ru/article/n/tolerantnost-k-neopredelennosti-i-emotsionalnyy-intellekt-pri-prinyatii-resheniy-v-usloviyah-podskazki (Accessed November 21, 2025).</mixed-citation></ref><ref id="B36"><label>36.</label><mixed-citation>Mehrotra S., Degachi C., Vereschak O. et al. A systematic review on fostering appropriate trust in human-AI interaction: Trends, opportunities and challenges. ACM Journal on Responsible Computing. 2024. Vol. 1. No. 4. Article 26. Pp. 1–45. DOI:10.1145/3696449.</mixed-citation></ref><ref id="B37"><label>37.</label><mixed-citation>Lee J.D., See K.A. Trust in automation: Designing for appropriate reliance. Human Factors. 2004. Vol. 46. No. 1. Pp. 50–80. DOI: 10.1518/hfes.46.1.50_30392.</mixed-citation></ref><ref id="B38"><label>38.</label><mixed-citation>Ryan R.M., Deci E.L. Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist. 2000. Vol. 55. No. 1. Pp. 68–78. DOI: 10.1037/0003-066X.55.1.68.</mixed-citation></ref><ref id="B39"><label>39.</label><mixed-citation>Ravšelj D., Keržič D., Tomaževič N. et al. Higher education students’ perceptions of ChatGPT: A global study of early reactions. PLoS ONE. 2025. Vol. 20. No. 2. Article e0315011. DOI: 10.1371/journal.pone.0315011</mixed-citation></ref></ref-list></back></article>
