IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/4422229.html
   My bibliography  Save this article

Improvement of Mobile Learning Model in Flipped Classroom in English Classroom Teaching: Based on Big Data Analysis

Author

Listed:
  • Xiangying Kou
  • Qi Song
  • Baiyuan Ding

Abstract

This paper innovates the improvement of the mobile learning model of flipped classroom in English classroom teaching on the basis of big data analysis technology. Through the case study, the big data analysis technology is used to analyze and explore the learning characteristics of students and combine with teachers’ teaching experience to dynamically adjust the teachers’ teaching strategies. And on the basis of the new model, an assessment model for students, teachers, and school leadership is proposed as a way to build a new and harmonious teacher-student relationship.

Suggested Citation

  • Xiangying Kou & Qi Song & Baiyuan Ding, 2022. "Improvement of Mobile Learning Model in Flipped Classroom in English Classroom Teaching: Based on Big Data Analysis," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-10, June.
    • Handle: RePEc:hin:jnlmpe:4422229
    DOI: 10.1155/2022/4422229
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/2022/4422229.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/mpe/2022/4422229.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2022/4422229?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

    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:hin:jnlmpe:4422229. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    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.