Using mobile applications with augmented reality elements in the self-study process of prospective translators

- Amelina, Svitlana M. (orcid.org/0000-0002-6008-3122), Tarasenko, Rostyslav O. (orcid.org/0000-0001-6258-2921), Semerikov, Serhiy O. (orcid.org/0000-0003-0789-0272) and Shen, Liying (orcid.org/0000-0001-7421-2899) (2022) Using mobile applications with augmented reality elements in the self-study process of prospective translators Educational Technology Quarterly, 4 (2022). pp. 263-275. ISSN 2831-5332

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Abstract

The paper deals with the use of mobile applications for language learning in the self-study process of prospective translators. A comparative analysis was made of some mobile language learning applications. The capabilities of mobile language learning applications are summarised, which include learning vocabulary grammar, pronunciation training, and practice listening and speaking. Particular attention is paid to interactive tasks and gamification of learning. An experiment was conducted with students using the Duolingo mobile app. The advantages of using mobile applications with augmented reality elements in the self-study process of future translators are identified. The main ones are interactivity, accessibility, individual schedules, and the ability to learn anytime, anywhere. There has been a significant increase in motivation to learn a foreign language independently thanks to mobile apps. It is proposed that mobile applications should only be seen as additional opportunities for independent and autonomous learning.

Item Type:	Article
Keywords:	mobile apps, augmented reality elements, language learning, translator
Subjects:	Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.9 ІКТ ( Application-oriented computer-based techniques ) Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 378 Higher education. Universities. Academic study Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 8 Language. Linguistics. Literature
Divisions:	Institute for Digitalisation of Education > Department of Cloud-Oriented Systems and Artificial Intelligence in Education
Depositing User:	Сергій Олексійович Семеріков
Date Deposited:	05 Jan 2023 13:29
Last Modified:	05 Jan 2023 13:29
URI:	https://lib.iitta.gov.ua/id/eprint/733771

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