IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/6444554.html
   My bibliography  Save this article

Optimization of Music Teaching Management System for College Students Based on Similarity Distribution Method

Author

Listed:
  • Jue Lian
  • Wen-Tsao Pan

Abstract

This paper puts forward a method of similarity distribution and applies it to music teaching management system. We use Java language, using JavaME development platform to complete the basic information management, music homework management, music practice management, online classroom management, information notification management, and other modules of the technical implementation. The system uses mobile learning system to provide a convenient learning platform for learners. However, student users can only view the course information in the system. To allow students to know the course change information more quickly when teachers update course information, the system implements the course information update reminder function. Compared with the existing music teaching system, the music teaching system based on Android adopts wireless Internet technology, which is more suitable for the daily habits of today’s college students and makes full use of the fragmentary time, which is conducive to improving their learning efficiency and stimulating students’ interest in learning.

Suggested Citation

  • Jue Lian & Wen-Tsao Pan, 2022. "Optimization of Music Teaching Management System for College Students Based on Similarity Distribution Method," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-11, March.
  • Handle: RePEc:hin:jnlmpe:6444554
    DOI: 10.1155/2022/6444554
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/2022/6444554.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/mpe/2022/6444554.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2022/6444554?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:6444554. 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.