Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)

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Design A Personalized Network Assisted Music Teaching System According to The Market Demand

Authors
Xiaoxu Jie1, *
1Jiangxi Science & Technology Normal University, Nanchang, 330038, Jiangxi, China
*Corresponding author. Email: zhc010314@163.com
Corresponding Author
Xiaoxu Jie
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-040-4_222How to use a DOI?
Keywords
ASP page; ASP.NET; B / S architecture
Abstract

The Internet has changed people's lives and set off a storm in the field of education and teaching. According to the needs of the mobile learning market, it is necessary to design an auxiliary teaching system for music courses and apply modern information technology in it. By using ASP.NET technology and ADO.NET technology to develop and design an auxiliary learning system for music teaching, it can help users access and learn music resources while achieving high-quality music teaching standards. The music teaching aided learning system adopts the B/S access mode, and the script language is embedded in its web page. Therefore, as long as the ADO component is used, it can help the user to interact with the system database, and the interaction result can be displayed in the form of ASP. show out. The system test also shows that by developing a personalized music-assisted teaching system, it can improve students' musical literacy and at the same time make music teaching informatization.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
10.2991/978-94-6463-040-4_222
ISSN
2589-4900
DOI
10.2991/978-94-6463-040-4_222How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Xiaoxu Jie
PY  - 2022
DA  - 2022/12/27
TI  - Design A Personalized Network Assisted Music Teaching System According to The Market Demand
BT  - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
PB  - Atlantis Press
SP  - 1487
EP  - 1491
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-040-4_222
DO  - 10.2991/978-94-6463-040-4_222
ID  - Jie2022
ER  -