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Intelligent Piano Teaching Based on Internet of Things Technology and Multimedia Technology
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Intelligent piano teaching is based on traditional piano teaching, combined with relevant intelligent technology, to improve students’ teaching methods, or to change the traditional piano structure, so that students can change from learning piano to playing piano. This study aimed to select a more suitable specific algorithm by studying the Internet of things (LOT) technology and multimedia technology and conduct in-depth research on the piano intelligent teaching, so that it can better serve the current piano teaching intelligence. Based on the experiment of this study, it can be seen that among the 600 investigators in place O, there are 587 valid questionnaires, of which 265 are willing to accept both traditional teaching and intelligent piano teaching, accounting for 45.1% of the valid questionnaires; 136 people are more willing to accept intelligent piano teaching, accounting for 23.2% of the valid questionnaires; 186 people are more willing to accept traditional piano teaching, accounting for 31.7% of the valid questionnaires. The experimental results of this study show that the research process of intelligent piano teaching based on LOT and multimedia technology is more effective than other methods of analyzing experimental data, and it is of great reference significance for the development of intelligent piano teaching.
Title: Intelligent Piano Teaching Based on Internet of Things Technology and Multimedia Technology
Description:
Intelligent piano teaching is based on traditional piano teaching, combined with relevant intelligent technology, to improve students’ teaching methods, or to change the traditional piano structure, so that students can change from learning piano to playing piano.
This study aimed to select a more suitable specific algorithm by studying the Internet of things (LOT) technology and multimedia technology and conduct in-depth research on the piano intelligent teaching, so that it can better serve the current piano teaching intelligence.
Based on the experiment of this study, it can be seen that among the 600 investigators in place O, there are 587 valid questionnaires, of which 265 are willing to accept both traditional teaching and intelligent piano teaching, accounting for 45.
1% of the valid questionnaires; 136 people are more willing to accept intelligent piano teaching, accounting for 23.
2% of the valid questionnaires; 186 people are more willing to accept traditional piano teaching, accounting for 31.
7% of the valid questionnaires.
The experimental results of this study show that the research process of intelligent piano teaching based on LOT and multimedia technology is more effective than other methods of analyzing experimental data, and it is of great reference significance for the development of intelligent piano teaching.
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