Design and Construction of a PBL Based Evaluation Index System for Classroom Music Education

Huang, Mengsi; Zhang, Yingxue

doi:10.3991/ijet.v16i17.25649

Cited by 10 publications

(13 citation statements)

References 33 publications

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“…Therefore, it is also an important part of quality education [13]. People often only pay attention to the external value of music education but ignore its internal esthetic value, ignore the importance of music education in improving students' creativity and beautifying students' personalities and many other aspects, and ignore the cultivation of students' interest in learning music [14][15][16]. Music big data has a variety of data structure types, including structured, semistructured, and unstructured data.…”

Section: Related Workmentioning

confidence: 99%

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The Dilemma and Countermeasures of Music Education under the Background of Big Data

Han

2022

Wireless Communications and Mobile Computing

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The fundamental subject matter in the area of quality research in education is music education, which is significant. Based on a big data theory, this study proposes a data management platform of music education that can use data analysis techniques to perform analysis and research on the situation facing music education. According to the layered concept through a demand analysis of the music education big data analysis platform, the model divides the platform into a data support layer, data storages and calculation layer, platform function layers, and platform application layer. Based on a platform function layer, the technical route is formulated, and functional modules are designed to solve the issue of quantitative data analysis. The plan uses the data aggregating component to combine music data into a real-time data stream for 3D visualization simulation and then distributes a data stream using messaging middleware. Through a real-time computing framework, the downstream completes a real-time calculation of musical information. Weak and strong real-time needs for music apps can be processed using features. The greatest average relative inaccuracy of the model, as determined by testing a simulation verification module, is 5.1374 percent, and getting the specifics of the visualization work using getViewTaskInfo is a trustworthy technique. It successfully encourages the capacity to overcome the challenges of music education in order to achieve the accuracy standards of high-quality music education.

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Section: Related Workmentioning

confidence: 99%

“…Zhang [15] Analysis of the current evaluation index system (EISs) of classroom music instruction in universities.…”

Section: Huang Andmentioning

confidence: 99%

The Dilemma and Countermeasures of Music Education under the Background of Big Data

Han

2022

Wireless Communications and Mobile Computing

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“…The TQE of music classroom should not only conform to the laws and characteristics of music art education and teaching but also combine the inherent characteristics of popular education and teaching. It should not only reflect the essential factors of classroom teaching work but also take into account the purpose and characteristics of popularization of teaching [ 7 ]. The activity of music education and instruction should be guided and promoted by evaluation indicators, and this may be considered a balance.…”

Section: Introductionmentioning

confidence: 99%

Music Art Teaching Quality Evaluation System Based on Convolutional Neural Network

Xia

2022

Computational and Mathematical Methods in Medicine

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With the rapid growth of music and art education in colleges and universities today, the development of associated teaching quality assessment (TQE) is still in its infancy. In truth, most modern music and art education has yet to build a rigorous and appropriate evaluation system based on actual classroom teaching quality. Simply adopting classroom TQE indicators and approaches from other disciplines would unavoidably lead to formalization of music TQE findings in some schools and institutions. It has no bearing on evaluation, feedback, or advancement. Therefore, this paper uses the superior performance of neural network to solve nonlinear problems and constructs a music art TQE method based on convolutional neural network (CNN). The completed work is as follows: (1) The basic situation of domestic and foreign research on music art TQE is introduced. Several commonly used TQE methods at home and abroad are analyzed, and the CNN evaluation method is comprehensively introduced. (2) The principle and network structure of CNN are expounded, and a TQE system conforming to music art is constructed. (3) The final experimental results reveal that the CNN model has higher accuracy and better performance than the BP neural network when using the trained CNN, TQE model to conduct tests.

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“…e results indicate the fuzzy mathematical model can objectively put forward effective suggestions, which promotes the development of college English teaching. Huang et al [21] established a fuzzy judgment matrix by investigating and analyzing the teaching quality in different schools, which has a good effect on the evaluation. By the fuzziness of the teaching quality of college English, Zhang [22] showed the English teaching mixed flipped classroom as a multiobjective fuzzy recognition problem and established a fuzzy recognition theoretical model according to the characteristics of fuzzy mathematics, which has good application results.…”

Section: Introductionmentioning

confidence: 99%

Evaluation and Application of College English Mixed Flipping Classroom Teaching Quality Based on the Fuzzy Judgment Model

Gao¹

2022

Security and Communication Networks

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With the development of big data technology, there are more and more evaluation models for college English teaching quality, which can better promote the improvement of college English teaching quality. Based on the fuzzy decision model, this paper describes the algorithm establishment process of the model in detail. Then, the fuzzy evaluation model between teachers and students according to different grades is established. Finally, aiming at the problems in college English teaching, this paper obtained the corresponding countermeasures for the college English teaching platform based on fuzzy judgment model. The results indicate the model improves the quality of college English teaching in different grades and promotes the development of college English. In addition, the model platform can also well predict the measures to improve the quality. In short, this paper provides some theoretical and experimental support for the quality of college English hybrid flipping classroom.

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Design and Construction of a PBL Based Evaluation Index System for Classroom Music Education

Cited by 10 publications

References 33 publications

The Dilemma and Countermeasures of Music Education under the Background of Big Data

The Dilemma and Countermeasures of Music Education under the Background of Big Data

Music Art Teaching Quality Evaluation System Based on Convolutional Neural Network

Evaluation and Application of College English Mixed Flipping Classroom Teaching Quality Based on the Fuzzy Judgment Model

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