IDEAS home Printed from https://ideas.repec.org/a/bcp/journl/v7y2023i11p1704-1708.html
   My bibliography  Save this article

The Construction of the Value System of English Language and Literature Courses Based on the Deep Learning Model

Author

Listed:
  • Cailian Wei

    (College of Foreign Languages, Pingdingshan University, China)

Abstract

With the rapid development of artificial intelligence, big data and other modern technologies, the intelligence of education has become the trend of modern education reform, and the deep learning model, as a representative of the application of artificial intelligence in the field of education, has a natural connection with the construction of the value system of English language and literature courses. This paper analyzes the feasibility and significance of the application of deep learning model in English language and literature from the characteristics of deep learning model, and constructs the value system of English language and literature based on it, aiming to provide more choices for English majors and improve their interest and enthusiasm in learning English language and literature.

Suggested Citation

  • Cailian Wei, 2023. "The Construction of the Value System of English Language and Literature Courses Based on the Deep Learning Model," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(11), pages 1704-1708, November.
    • Handle: RePEc:bcp:journl:v:7:y:2023:i:11:p:1704-1708
    as

    Download full text from publisher

    File URL: https://www.rsisinternational.org/journals/ijriss/Digital-Library/volume-7-issue-11/1704-1708.pdf
    Download Restriction: no
    File URL: https://www.rsisinternational.org/journals/ijriss/articles/the-construction-of-the-value-system-of-english-language-and-literature-courses-based-on-the-deep-learning-model/
    Download Restriction: no
    ---><---

    More about this item

    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:bcp:journl:v:7:y:2023:i:11:p:1704-1708. 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: Dr. Pawan Verma (email available below). General contact details of provider: https://rsisinternational.org/journals/ijriss/ .

    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.