2024
DOI: 10.55056/etq.659
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Learning styles of the Armed Forces of Ukraine personnel undergoing English language courses

Roman V. Duzhyi,
Tetiana M. Derkach

Abstract: The preferred learning styles according to the Felder-Soloman method of military personnel of the Armed Forces of Ukraine with various military ranks studying English on four-month face-to-face foreign language courses based on the Foreign Languages Education and Research Center of the National Defense University of Ukraine were studied. Active, sensing and visual styles account for approximately 85% of students, while the remaining 15% have reflective, intuitive and verbal styles. The advantage of the sequent… Show more

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Cited by 2 publications
(2 citation statements)
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“…Since there are different types of students depending on the channel of perception of information (audials, visuals, kinesthetics, mixed types, etc.) [5,9,15,16], thanks to the holistic representation of objects based on AR technology, a higher level of assimilation of educational information and the formation of multimodal representations can be achieved.…”
Section: Resultsmentioning
confidence: 99%
“…Since there are different types of students depending on the channel of perception of information (audials, visuals, kinesthetics, mixed types, etc.) [5,9,15,16], thanks to the holistic representation of objects based on AR technology, a higher level of assimilation of educational information and the formation of multimodal representations can be achieved.…”
Section: Resultsmentioning
confidence: 99%
“…The findings showed that digital tools implemented within military engineering training vary depending on the purpose of their use. The literature review revealed that digital tools used in military engineering training include communication tools (Miron & Gherman, 2022;Porancea-Răulea et al, 2023;Ramesh, 2023); content creation tools (Banday et al, 2014;Chen et al, 2019;Udeozor et al, 2023); LMS (Bradley, 2021;Vakaliuk, 2021); collaboration tools (Ramesh, 2023;Udeozor et al, 2023); assessment tools (Farzana, 2023;Porancea-Răulea et al, 2023); simulation and modelling tools (Chen, 2021;Coman et al, 2021); and adaptive learning tools (Barto & Daly, 2021;Duzhyi & Derkach, 2024). Considerable research work was paid towards the analysis of the effectiveness of digital tools (Chen et al, 2019;Spridzāns, 2023).…”
Section: Discussionmentioning
confidence: 99%