Optimization of music teaching management system for college students based on similarity distribution method
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, inf...
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my.um.eprints.423232023-10-15T01:11:05Z http://eprints.um.edu.my/42323/ Optimization of music teaching management system for college students based on similarity distribution method Lian, Jue L Education (General) MT Musical instruction and study 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. Hindawi Ltd 2022-03 Article PeerReviewed Lian, Jue (2022) Optimization of music teaching management system for college students based on similarity distribution method. Mathematical Problems In Engineering, 2022. ISSN 1024-123X, DOI https://doi.org/10.1155/2022/6444554 <https://doi.org/10.1155/2022/6444554>. 10.1155/2022/6444554 |
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L Education (General) MT Musical instruction and study Lian, Jue Optimization of music teaching management system for college students based on similarity distribution method |
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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. |
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Lian, Jue |
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Lian, Jue |
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Lian, Jue |
title |
Optimization of music teaching management system for college students based on similarity distribution method |
title_short |
Optimization of music teaching management system for college students based on similarity distribution method |
title_full |
Optimization of music teaching management system for college students based on similarity distribution method |
title_fullStr |
Optimization of music teaching management system for college students based on similarity distribution method |
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Optimization of music teaching management system for college students based on similarity distribution method |
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optimization of music teaching management system for college students based on similarity distribution method |
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Hindawi Ltd |
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2022 |
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http://eprints.um.edu.my/42323/ |
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