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Use of machine translation in foreign language education

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F25%3A50022365" target="_blank" >RIV/62690094:18450/25:50022365 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.tandfonline.com/doi/epdf/10.1080/23311983.2025.2491183?src=getftr&utm_source=scopus&getft_integrator=scopus" target="_blank" >https://www.tandfonline.com/doi/epdf/10.1080/23311983.2025.2491183?src=getftr&utm_source=scopus&getft_integrator=scopus</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1080/23311983.2025.2491183" target="_blank" >10.1080/23311983.2025.2491183</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Use of machine translation in foreign language education

  • Original language description

    The aim of this study is to explore the attitudes of high school and university students towards the use of machine translation (MT) tools in foreign language learning, as well as the impact of these tools on their motivation and performance. A questionnaire-based survey was conducted among 106 students, with 99 valid responses, representing a diverse group of Czech and international students across different educational levels. The results reveal that Google Translate (GT) is the most popular MT tool, followed by DeepL and ChatGPT, with students primarily using these tools for reading comprehension, grammar checking and writing assistance. Despite concerns regarding overreliance on MT, 61.6% of respondents felt motivated to continue learning foreign languages, though 38.4% reported a decline in motivation. A significant challenge identified was the inability of MT tools to accurately convey cultural nuances and context, with students frequently expressing the need for clearer institutional guidelines on the allowed use of MT in educational settings. Future research should focus on the long-term impact of MT tools on language proficiency and strategies for integrating MT into the curriculum in a way that fosters both technological literacy and critical language skills. © 2025 The Author(s). Published by Informa UK Limited, trading as Taylor &amp; Francis Group.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    60500 - Other Humanities and the Arts

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Cogent Arts and Humanities

  • ISSN

    2331-1983

  • e-ISSN

    2331-1983

  • Volume of the periodical

    12

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    NO - NORWAY

  • Number of pages

    14

  • Pages from-to

    "Article number: 2491183"

  • UT code for WoS article

    001470986800001

  • EID of the result in the Scopus database

    2-s2.0-105002959775