Application of Smart Education Technologies on the Disciplines of the Music-Theoretical Cycle in Musical College and University

Konovalova, Svetlana A.; Kashina, Nataliya I.; Тагильцева, Н. Г.; Матвеева, Л.В.; Pavlov, Denis N.

doi:10.1007/978-981-15-5584-8_22

Cited by 6 publications

(2 citation statements)

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“…Its primary goal is to increase students' creative quality and aesthetic ability, foster students' humanistic spirit, cultivate students' moral emotion, develop students' intelligence and innovative capacity, and promote total physical and mental development. Instead of improving the musical abilities and humanistic qualities of all students, music education at ordinary colleges and universities focuses on popularizing music education rather than on professional music education [2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Application of Artificial Neural Network in College-Level Music Teaching Quality Evaluation

Shi

2022

Wireless Communications and Mobile Computing

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Art is a very practical activity, especially music art. Quality music education at colleges and universities is vital for the ideological and moral schooling of students. Owing to the rapid expansion of music education at graduate level, the building of therapeutic evaluation of music instruction is critical. In fact, most of the music instruction in colleges and universities has not built a scientific and appropriate evaluation system based on the actual teaching quality of the classroom. This work combines the emerging neural network (NN) technology with standard method of music teaching evaluation and proposes a novel method—Music Teaching Quality Evaluation Network (MTQEN). To effectively improve performance of the model, the method uses a one-dimensional convolutional neural network (1D-CNN) being optimized from three aspects: expanding the receptive field, reducing training parameters, and enhancing operationality. Instead of the traditional convolution layer, the dilated convolution layer is utilized to increase scope of local receptive field and to improve the feature extraction efficacy. To improve training rate and to eliminate dependency on batch size, the filter response normalization (FRN) is used. Moreover, global pooling is used to reduce the requisite training parameters and to improve the training efficiency. Results of the evaluation show that performance of MTQEN in term accuracy (95.6%) and recall (93.3%) is better than the other contemporary models. The method proposed has great significance in pedagogy of music and arts, whereas the network designed may be enhanced to effectively evaluate teaching in related domains as well.

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Section: Introductionmentioning

confidence: 99%

Application of Artificial Neural Network in College-Level Music Teaching Quality Evaluation

Shi

2022

Wireless Communications and Mobile Computing

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“…Integrating environmental awareness into music teaching can help improve the impact of music teaching in the classroom. In elementary school music classes, the teacher's classroom teaching affects the effectiveness of students' music classroom learning and thus the quality of classroom teaching [31]. Meanwhile, teachers should focus on students in music teaching to promote effective development of music teaching and ensure students' mastery of music knowledge.…”

Section: Improve the Effectiveness Of Classroom Teachingmentioning

confidence: 99%

Research on the integration strategy of music teaching and environmental education under the perspective of ecological civilization

Huang

2023

3C TIC

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With the gradual deterioration of today's ecological environment, there is an urgent need to improve the quality of environmental education. The current environmental education has grown somewhat with the increase in government investment. However older teaching methods seem inadequate to deal with the current situation. The integration of music teaching into environmental education, as explored in this paper, can be a good solution to this problem. This fun and educational approach is a good way to enhance students' interest in learning. After the corresponding discussion on the value of integration, the article used hierarchical analysis to conduct a fuzzy comprehensive evaluation of the combined utility. After stratifying the corresponding influencing factors, the weights were assigned and satisfactory evaluation results were obtained. An example was used for the analysis in this paper. The results showed that third graders with appropriate education got a significant improvement in their scores than sixth graders with no education. Both their median and mean scores improved from 66 and 60 to 70, respectively. More students are also concentrated in the high-score segment. In terms of the direction of focus, the percentages of the four areas of saving food, saving water, saving electricity, and separating garbage all changed. The values of the corresponding numbers for the third and sixth grades are 29%, 20%, 23%, 28% and 29%, 15%, 21%, 35%, respectively.

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Information Technology in Teaching Future Pop Vocalists to Promote Their Creativity at the University

Konovalova

Тагильцева

Aksarina

et al. 2021

Smart Innovation, Systems and Technologies

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Application of Smart Education Technologies on the Disciplines of the Music-Theoretical Cycle in Musical College and University

Cited by 6 publications

References 1 publication

Application of Artificial Neural Network in College-Level Music Teaching Quality Evaluation

Application of Artificial Neural Network in College-Level Music Teaching Quality Evaluation

Research on the integration strategy of music teaching and environmental education under the perspective of ecological civilization

Information Technology in Teaching Future Pop Vocalists to Promote Their Creativity at the University

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