IDEAS home Printed from https://ideas.repec.org/a/cwi/cinnov/v2y2024i2p1-10.html

Antonym and Oppositeness: A Cognitive Training Approach of Thinking in English Writing in the AI Era

Author

Listed:
  • Xiaohui Liang

    (School of Foreign Studies, University of Science & Technology Beijing, Beijing 100083, China)

  • Yuwei Huang

    (School of Foreign Studies, University of Science & Technology Beijing, Beijing 100083, China)

  • Yuanyuan Wang

    (School of Foreign Studies, University of Science & Technology Beijing, Beijing 100083, China)

Abstract

Oppositeness is not necessarily identical to antonym, but it imparts wisdom in the teaching of writing, particularly in era of AI. Starting from the “construction of oppositeness” in cognitive realm, this paper explores the foundation of writing with innovative thinking, which aims to cultivate innovative ability and counteract the impact of AI writing. The cognitive recognition of oppositeness in writing encompasses the comprehension and utilization of contrasts, antonyms and conflicting concepts to foster a more dynamic and captivating textual composition. Adopting a reverse mindset (oppositeness) aids in averting monotony in writing while AI-generated content can occasionally become repetitive and monotonous. The cognitive awareness of oppositeness assists in introducing diversity and preventing predictability in writing. By employing oppositeness, one can enhance the reader's comprehension of novel concepts by establishing intricate connections with familiar ones. As a creative thinking technique in writing, it serves as a potent tool for human writers to uphold their pertinence and distinctiveness amidst the proliferation of AI-generated content. By facilitating the production of unparalleled and authentic material, creative thinking transcends AI's capacity to replicate such output. While AI can generate content based on preexisting data and patterns, genuine creativity nurtures groundbreaking ideas and perspectives that transcend the limitations of an AI's dataset.

Suggested Citation

  • Xiaohui Liang & Yuwei Huang & Yuanyuan Wang, 2024. "Antonym and Oppositeness: A Cognitive Training Approach of Thinking in English Writing in the AI Era," Curriculum & Innovation, Berger Science Press, vol. 2(2), pages 1-10, ‌July.
  • Handle: RePEc:cwi:cinnov:v:2:y:2024:i:2:p:1-10
    DOI: 10.61187/ci.v2i2.112
    as

    Download full text from publisher

    File URL: https://bergersci.com/index.php/ci/article/view/112/44
    Download Restriction: no

    File URL: https://bergersci.com/index.php/ci/article/view/112
    Download Restriction: no

    File URL: https://libkey.io/10.61187/ci.v2i2.112?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:cwi:cinnov:v:2:y:2024:i:2:p:1-10. 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: Berger Science Press (email available below). General contact details of provider: https://www.bergersci.com/index.php/ci .

    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.