[Retracted] Music Online Education Reform and Wireless Network Optimization Using Artificial Intelligence Piano Teaching

Guo, Rui; Ding, Jingna; Weihua, Zang

doi:10.1155/2021/6456734

Cited by 21 publications

(23 citation statements)

References 18 publications

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“…In order to more accurately understand the characteristics and effects of multimedia technology as a high-level cognitive tool, educational psychologists have done a lot of related experiments [ 13 ]. Norman studied the characteristics of “construction” and “carrier” of multimedia technology and their relationship with teaching objectives [ 14 ]; Guo conducted a comparative study on the presentation effects of text media and animation media [ 15 ] and found that the effect of using multimedia technology not only has significant individual differences but also different types and characteristics of media. The joint use can get a better effect.…”

Section: State Of the Artmentioning

confidence: 99%

[Retracted] Innovative Practice of Multimusic Performance Culture Education of Core Literacy in Multimedia Environment

Gao

2022

Journal of Environmental and Public Health

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Under the framework of disciplinary knowledge integrating technology, the multimedia teaching application of music performance attracts a major opportunity for reflection and reconstruction. The purpose of this study is to explore the laws and experiences of music performance teachers’ multimedia teaching applications under the framework of subject teaching knowledge integrating technology. Through the research to understand the classroom multimedia teaching application of music performance teachers, according to the research results, relevant strategies are put forward for the application of music performance teachers’ classroom multimedia teaching, in order to effectively improve the classroom teaching effect of music performance teachers. This research mainly uses the classroom observation method and data statistical analysis method and takes 100 music video lessons of the National Educational Resources Public Service Platform as the survey object. A total of 100 teachers were observed and scored in the classroom through the compiled multimedia teaching observation table for music performance teachers, and then the data was analyzed to draw conclusions. The conclusions of this study are as follows: The multimedia application behaviors of the teachers of the excellent courses are different from those of the teachers of the daily classes. The two types of teachers have differences in the effectiveness of multimedia teaching application of music performance, and the scores of the practical application of information technology are uneven. The overall score of multimedia teaching applications of excellent course teachers is higher than that of daily course teachers, and the classroom teaching effect is better. In this regard, based on the observation and assessment of the effectiveness of multimedia teaching applications by two types of teachers, this paper puts forward some suggestions for music performance teachers to improve the effectiveness of multimedia teaching applications in classrooms from the aspect of teachers themselves and educational functions. It is hoped that it can provide some theoretical basis and practical materials for the personal and professional development of music performance teachers.

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Section: State Of the Artmentioning

confidence: 99%

[Retracted] Innovative Practice of Multimusic Performance Culture Education of Core Literacy in Multimedia Environment

Gao

2022

Journal of Environmental and Public Health

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“…Swarm intelligence algorithm serves as a useful model for further optimizing and enhancing the conventional machine learning algorithm. Machine learning, as the most widely used technology in the twenty-first century, has been favored by more and more scholars and has been employed in fields such as medical 20 , education 21 , industry 22 , finance 23 and so on. For example, multilayer Long Short Term Memory (LSTM) networks are used for demand forecasting to address the high volatility of demand data 24 ; Random Forest (RF) and Support Vector Machines (SVM) are also used for predictive mapping of aquatic ecosystems 25 ; The dissolved oxygen in urban rivers is predicted and analyzed by Extreme Learning Machine (ELM) and Artificial Neural Network (ANN) 26 ; BP Neural Network (BPNN) is used to establish the evaluation model of software enterprise risk 27 .…”

Section: Related Workmentioning

confidence: 99%

A parallel integrated learning technique of improved particle swarm optimization and BP neural network and its application

Ruan

et al. 2022

Sci Rep

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Swarm intelligence algorithm has attracted a lot of interest since its development, which has been proven to be effective in many application areas. In this study, an enhanced integrated learning technique of improved particle swarm optimization and BPNN (Back Propagation Neural Network) is proposed. First, the theory of good point sets is used to create a particle swarm with a uniform initial spatial distribution. So a good point set adaptive particle swarm optimization (GPSAPSO) algorithm was created by using a multi-population co-evolution approach and introducing a function that dynamically changes the inertia weights with the number of iterations. Sixteen benchmark functions were used to confirm the efficacy of the algorithm. Secondly, a parallel integrated approach combining the GPSAPSO algorithm and the BPNN was developed and utilized to build a water quality prediction model. Finally, four sets of cross-sectional data of the Huai River in Bengbu, Anhui Province, China, were used as simulation data for experiments. The experimental results show that the GPSAPSO-BPNN algorithm has obvious advantages compared with TTPSO-BPNN, NSABC-BPNN, IGSO-BPNN and CRBA-BPNN algorithms, which improves the accuracy of water quality prediction results and provides a scientific basis for water quality monitoring and management.

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“…e optimized BPNN algorithm can significantly improve the error correction accuracy of the player's note and pitch, which is beneficial to improve the teaching quality of piano teaching. Guo et al [21] used wireless network technology to realize the intelligent piano teaching mode. It uses the regression fitting algorithm and the Relief F weight algorithm to extract the characteristics of the piano teaching process.…”

Section: Related Workmentioning

confidence: 99%

Design and Application of the Piano Teaching System Integrating Videos and Images

Li¹

2022

Scientific Programming

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The art of piano playing has been continuously entering into people’s life. However, with the continuous improvement of science and technology and living standards, the traditional teaching mode can no longer meet the piano teaching mode. The teaching of piano is different from traditional subjects, such as Chinese and mathematics. It requires students to experience the artistic characteristics and the live atmosphere of the players brought by the piano. This study integrates video and image teaching methods with piano teaching. Videos and images can more intuitively show the live atmosphere brought by piano players and musical artistic features brought by the piano. At the same time, this study uses the convolutional neural network (CNN) method to study the relevant features of videos and images of piano teaching. These features are mainly the characteristics of piano music, the behavior of players, and the basic knowledge of a piano. The research results show that the clustering method can effectively classify the features of videos and images in piano teaching, and the maximum classification error is only 1.89%. The CNN method also has high performance in predicting the relevant features of piano teaching videos and images. Accuracy. The largest prediction error is only 2.23%, and the linear correlation coefficient also exceeds 0.95. This set of the piano teaching mode that combines videos and images is beneficial to both teachers and students.

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[Retracted] Music Online Education Reform and Wireless Network Optimization Using Artificial Intelligence Piano Teaching

Cited by 21 publications

References 18 publications

[Retracted] Innovative Practice of Multimusic Performance Culture Education of Core Literacy in Multimedia Environment

[Retracted] Innovative Practice of Multimusic Performance Culture Education of Core Literacy in Multimedia Environment

A parallel integrated learning technique of improved particle swarm optimization and BP neural network and its application

Design and Application of the Piano Teaching System Integrating Videos and Images

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