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Use of machine translation in foreign language education

Identifikátory výsledku

  • Kód výsledku v 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>

  • Výsledek na webu

    <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>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Use of machine translation in foreign language education

  • Popis výsledku v původním jazyce

    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.

  • Název v anglickém jazyce

    Use of machine translation in foreign language education

  • Popis výsledku anglicky

    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.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    60500 - Other Humanities and the Arts

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2025

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    Cogent Arts and Humanities

  • ISSN

    2331-1983

  • e-ISSN

    2331-1983

  • Svazek periodika

    12

  • Číslo periodika v rámci svazku

    1

  • Stát vydavatele periodika

    NO - Norské království

  • Počet stran výsledku

    14

  • Strana od-do

    "Article number: 2491183"

  • Kód UT WoS článku

    001470986800001

  • EID výsledku v databázi Scopus

    2-s2.0-105002959775