Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 1


Published
on

June 21, 2023


Pages

2557-2564


DOI

Article

Analysis of music teaching technology based on a data mining model

Check for updates


Authors

Bin Niu Affiliation:
School of Music Education, Xi’an Conservatory of Music, Xi’an, Shaanxi, 710061, China.


Abstract

As an important middle ground between the theory of teaching and the practice of teaching, the type of teaching can not only teach teaching in the field of theory but also develop practical processes and develop effective and efficient strategies for specific teaching. The author proposes an online teaching tool for music lessons based on ZigBee. Hardware includes transmitter, sound sensor, and manager, DIN rail type online help manual to add to the transmitter to improve the combination of transmitter and other devices; The primary output current of the sensor is 15 mA, the working voltage is DC12-24 V ± 10, the sensor is connected to other devices with two wires, the control capacity memory is 256 GB, and the chip is CC2430. is added to improve system sensitivity. Chip Software Systems is known for its storage, data management, integration, and online solutions. Also, only information technology will be used to teach the “Learning with Technology” music model. Experiments show that the application system can not only complete the online service of the music class but also improve the teaching of the music class.


Keywords

Data mining, Music teaching, 35B30


Citation

Niu, B. (2023). Analysis of music teaching technology based on a data mining model. Applied Mathematics and Nonlinear Sciences, 8(1), 2557–2564. https://doi.org/10.2478/amns.2023.1.00436

Published by: Engineering Journals

Engineering Journals Logo