Abstract
In the era of the education informationization, it is necessary to collect the big data of the industries to realize the individualized music education and accelerate the development of the music industry. Regardless of the efficiency and effect of the piano learning, or from the perspective of the education inclusion and fairness, it is the general trend to use the Internet, the artificial intelligence and other technologies to carry out the music education. In the past, the piano learning was difficult to objectively demonstrate the effect of the piano learning by means of the science and technology, and there is a lack of the accurate effect analysis, which is one of the main reasons for the low efficiency of the piano learning and practicing.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Guo Q, Yu Q (2015) Design of the intelligent education resource management system in the cloud environment. Comput Educ (01):199–200
Yan H (2015) Brief discussion on the application of the intelligent teaching system supporting the situational awareness in our education. Heilongjiang Educ (Theory Pract) (03):212–213
Li J, Xing Z (2017) System design of the creator education intelligent controller based on FPGA. Instrum User (01):57–58
Yang Z (2015) Design of the intelligent cross-network education and training system based on the “4G Cloud” technology. Electric Ind (09):212–213
Zeng Z (2017) Design and research on the intelligent education system. Comput Prod Circ (12):155–156
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Wang, R., Jiang, C. (2019). Design of the Intelligent Education System Based on the Piano Introduction. In: Sugumaran, V., Xu, Z., P., S., Zhou, H. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. MMIA 2019. Advances in Intelligent Systems and Computing, vol 929. Springer, Cham. https://doi.org/10.1007/978-3-030-15740-1_13
Download citation
DOI: https://doi.org/10.1007/978-3-030-15740-1_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-15738-8
Online ISBN: 978-3-030-15740-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)