IDEAS home Printed from https://ideas.repec.org/a/dba/ijlpsa/v1y2025i1p46-53.html

The Cultivation of Critical Thinking in Translation Teaching in the Era of Artificial Intelligence

Author

Listed:
  • Zhang, Yan

Abstract

With the rapid advancement of artificial intelligence (AI) technology, translation education faces both new opportunities and challenges. This paper examines the cultivation model of critical thinking in translation teaching within the context of the AI era. It aims to shift the focus from skill-based instruction to the development of critical thinking, thus enhancing the core competencies of translators in environments where humans and machines collaborate. The study underscores that critical thinking is a vital component of translation competence. It is not only crucial for addressing complex translation problems but also serves as the intrinsic value of translation education itself. In order to cultivate this skill, the paper suggests a comprehensive approach: establishing a collaborative translation learning community, integrating content that promotes critical thinking, guiding the teaching process to foster this cognitive skill, and developing an AI-enhanced evaluation system. This approach advocates that translation education should align with the principle of using technology as a tool, while preserving humanity as the foundation. By achieving a balance between technological tools and humanistic literacy, the field can ensure the harmonious development of both. This paper offers theoretical insights and practical recommendations for developing well-rounded translation professionals in the age of artificial intelligence.

Suggested Citation

  • Zhang, Yan, 2025. "The Cultivation of Critical Thinking in Translation Teaching in the Era of Artificial Intelligence," International Journal of Law, Policy & Society, Pinnacle Academic Press, vol. 1(1), pages 46-53.
  • Handle: RePEc:dba:ijlpsa:v:1:y:2025:i:1:p:46-53
    as

    Download full text from publisher

    File URL: https://pinnaclepubs.com/index.php/IJLPS/article/view/259/266
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:dba:ijlpsa:v:1:y:2025:i:1:p:46-53. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joseph Clark (email available below). General contact details of provider: https://pinnaclepubs.com/index.php/IJLPS .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.