Technological foundations for creating a personalized educational environment for foreign language instruction for non-linguistic university students in a blended format

Abstract

The study aims to systematize the technological foundations for creating a personalized educational environment for developing non-linguistic university students’ visual image verbalization skills in foreign-language vocabulary learning within blended instruction. The article examines the theoretical foundations of personalized foreign language learning in a blended format: constructivist paradigm, self-regulated learning theory, the educational environment concept, and the Community of Inquiry model. The functional blocks of the technological component of a personalized environment (a learning management system, synchronous and asynchronous communication tools, multimodal content creation instruments, assessment and feedback tools, cloud collaboration services) and their role in organizing visual-verbal vocabulary work are analyzed. Criteria for selecting digital solutions for language education and principles for designing a personalized flexible educational environment are formulated. The scientific novelty lies in systematizing the functional blocks of the technological component of a personalized educational environment as applied to visual-verbal work with foreign language vocabulary, as well as in substantiating the criteria for selecting digital solutions considering the specifics of developing visual image verbalization skills in blended learning. As a result, six functional blocks of the technological component of a personalized blended learning environment have been identified and described, six criteria for selecting digital solutions (multimodality, speech recording tools, managed feedback, learning analytics tools, integrability, accessibility) and seven principles for designing a personalized flexible educational environment (multidimensional flexibility, integration of face-to-face and online components, adaptive support, multimodality, teaching presence, social interaction, reflexivity) have been formulated.

Research materials

1. Мониторинг экономики образования. Цифровизация образования: опыт, проблемы, риски. М.: НИУ ВШЭ, 2023.
2. UNESCO. AI Competency Framework for Teachers. P.: UNESCO, 2024.
3. UNESCO. ICT Competency Framework for Teachers (Version 3). P.: UNESCO, 2018.

References

1. Барашян В. К., Симонова О. Б. Теория мультимедийного обучения Р. Майера: когнитивные основания и методические импликации // Гуманитарные и социальные науки. 2024. Т. 105. № 4.
2. Брунер Дж. Психология познания: за пределами непосредственной информации. М.: Прогресс, 1977.
3. Ермаков Д. С. Что же следует понимать под персонализированным обучением? // EduTech. 2023. № 4 (55).
4. Сысоев П. В. Технологии искусственного интеллекта в обучении иностранному языку // Иностранные языки в школе. 2023. № 3.
5. Худолей Н. В. Формирование и развитие лексического навыка с использованием LMS Moodle при обучении иностранному языку в неязыковом вузе // Полилингвиальность и транскультурные практики. 2021. Т. 18. № 3.
6. Ясвин В. А. Образовательная среда: от моделирования к проектированию. М.: Смысл, 2001.
7. Bonk C. J., Graham C. R. The Handbook of Blended Learning: Global Perspectives, Local Designs. San Francisco: Pfeiffer, 2012.
8. Chen H.-J., Chen C.-H., Wu W.-C. V. Effects of Flipped Learning on Language Learning Outcomes: A Meta-Analysis Investigating Moderators // SAGE Open. 2025. Vol. 15. No. 2. https://doi.org/10.1177/21582440251331298
9. Garrison D. R., Anderson T., Archer W. Critical Inquiry in a Text-Based Environment: Computer Conferencing in Higher Education // The Internet and Higher Education. 2000. Vol. 2. № 2-3.
10. Mayer R. E. Cognitive Theory of Multimedia Learning // The Cambridge Handbook of Multimedia Learning / ed. by R. E. Mayer. 3rd ed. Cambridge: Cambridge University Press, 2024.
11. Ni A., Cheung A. C. K., Shi J. The Impact of Flipped Classroom Teaching on College English Language Learning: A Meta-Analysis // International Journal of Educational Research. 2023. Vol. 121. https://doi.org/10.1016/j.ijer.2023.102230
12. Paivio A. Mental Representations: A Dual Coding Approach. N. Y.: Oxford University Press, 1990.
13. Plooy E. du, Casteleijn D., Franzsen D. Personalized Adaptive Learning in Higher Education: A Scoping Review of Key Characteristics and Impact on Academic Performance and Engagement // Heliyon. 2024. Vol. 10. https://doi.org/10.1016/j.heliyon.2024.e39630
14. Zimmerman B. J. Self-Regulated Learning and Academic Achievement: An Overview // Educational Psychologist. 1990. Vol. 25. No. 1.

Author information

About this article

Publication history

• Received: December 25, 2025.
• Published: February 16, 2026.

Keywords

• персонализированная образовательная среда
• вербализация визуальных образов
• смешанное обучение
• иноязычная лексика
• неязыковой вуз
• personalized educational environment
• visual image verbalization
• blended learning
• foreign language vocabulary
• non-linguistic university

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© 2026 The Author(s)
© 2026 Gramota Publishing, LLC

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Creative Commons Attribution 4.0 International (CC BY 4.0)