Learning music theory <i>en passant</i>: a study in an internationally recognised South African University student choir

Barrett, Michael J.; Page-Shipp, Roy J.; Niekerk, Caroline van; Ferreira, Johan

doi:10.1017/s0265051719000238

Cited by 3 publications

(3 citation statements)

References 14 publications

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“…There are many network models in the field of DL image recognition. Model performance might vary on different datasets or even on the same set [ 27 , 28 ]. Therefore, this article studies the most representative DL models: VGG Net and GoogleNet.…”

Section: Construction Of Online Immersive Education System Based On Dtsmentioning

confidence: 99%

Application of Lightweight Deep Learning Model in Vocal Music Education in Higher Institutions

Zhang

Liu

2022

Computational Intelligence and Neuroscience

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The aim is to improve the teaching quality of music majors and cultivate their innovative ability. This article takes Vocal Music Education (VME) method as the research object to explore the teaching reform of Music Major courses. Firstly, this article makes an in-depth study on Big Data Analytics (BDA) and Digital Twins (DTs) technology and constructs a DTs platform connecting real teaching space and virtual teaching space. Secondly, the DTs platform is divided into online learning feature analysis and virtual-real teaching space integration functional modules. This article explores the online immersive education process design and technology application of the DTs platform from the two aspects of teaching and technology. Afterward, it designs a student action and expression recognition network based on the Visual Geometry Group (VGG) Net model and Google Net model in teaching data collection and management. Finally, the proposed system is tested. The test results show that the active and passive interaction curves of the traditional VME system have no obvious fluctuation, indicating that the interaction of the traditional VME system is not strong, and the ability of active feedback information is poor. By contrast, the active and passive interaction curves in the proposed VME have large fluctuations, showing that the proposed VME has more frequent interaction, and the teaching information can get real-time and active feedback. Therefore, the proposed VME system can better stimulate students’ learning desire. Meanwhile, the constructed Neural Network (NN) has the highest recognition accuracy of 99.07% on the student action and expression dataset. When tested with the image data taken by the research experiment, the highest accuracy is 89%, with an average of more than 85%. The proposed VME system provides ideas for applying DTs technology in the college of music education.

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Section: Construction Of Online Immersive Education System Based On Dtsmentioning

confidence: 99%

Application of Lightweight Deep Learning Model in Vocal Music Education in Higher Institutions

Zhang

Liu

2022

Computational Intelligence and Neuroscience

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“…For a flush Markov chain, the probability matrix after k transfer is: ( ) (20) This results in an improved chi-square Markov chain model, which can take into account the transfer status of each student as comprehensively as possible, reflect the overall student learning situation comprehensively, and become an important basis for conducting teaching effectiveness evaluation.…”

Section: Modeling Stepsmentioning

confidence: 99%

“…The music education model should now adopt a multicultural philosophy of education and focus primarily on discussing and comparing the South African music curriculum. The literature [20] argues that many choir members have a poor understanding of formal music theory education, that the language of music theory is not intuitive enough, and that the meaning of many terms is unclear, which can create barriers for learners. A hypothesis was proposed that students participating in university choirs might master some aspects of music theory as a by-product of rehearsal.…”

Section: Introductionmentioning

confidence: 99%

Innovative development of music education model in universities under stochastic process model analysis

Wang,

Zhang

2023

Applied Mathematics and Nonlinear Sciences

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Based on the analysis of random phenomena, random variables, and random processes, this paper constructs a Markov chain-based model for evaluating the effectiveness of music teaching using Markov chains. Aiming at the core literacy of college music education, a new education model is proposed to cultivate students’ comprehensive music literacy and transform the method of college music education. Traditional evaluation methods and the Markov chain model are used to analyze data examples for the new model of music education. The probability of transferring the number of students whose first score was on the 89.9-80 scale to the 100-90 scale was 0.5115, greater than the probability value of 0.3650 for those still on the 89.9-80 scale. The transfer matrix of the experimental class was shifted to the left as a whole, indicating a high degree of student progress.

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Diversified Optimization of Vocal Singing Teaching Mode in Colleges and Universities under Multi-sensory Audiovisual Integration

2024

Applied Mathematics and Nonlinear Sciences

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As an important part of higher education, vocal teaching bears the important mission of cultivating future vocal talents for society. Through the integration of a variety of vocal singing teaching modes, the research develops a diversified vocal singing teaching mode that incorporates multi-sensory audio-visual. On this basis, vocal music enthusiasts were selected as the experimental subjects, and after being divided into three groups with comparable levels of vocal singing, the three vocal singing teaching modes were compared in the teaching experiment. After the experiment, the students’ vocal singing effects under the three modes were empirically analyzed, and the students’ experiences under the diversified vocal singing teaching modes were further explored through questionnaires to investigate the promotion effect of the diversified vocal singing teaching modes on vocal singing learning. The analysis shows that the diversified vocal singing teaching mode is better than the other two teaching modes, and its effect on the students’ breath change, breath use, word biting, understanding of the work, and expression movements during singing is 100%. At the same time, more than 90% of the students were satisfied with the teaching method, and more than 60% of the students agreed that the technique had improved their learning abilities and interest. The development needs of vocal singing majors in colleges and universities can be met through the use of a diverse vocal singing teaching mode, which is an important channel for vocal singing teaching in colleges and universities to connect with the future.

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Learning music theory en passant: a study in an internationally recognised South African University student choir

Cited by 3 publications

References 14 publications

Application of Lightweight Deep Learning Model in Vocal Music Education in Higher Institutions

Application of Lightweight Deep Learning Model in Vocal Music Education in Higher Institutions

Innovative development of music education model in universities under stochastic process model analysis

Diversified Optimization of Vocal Singing Teaching Mode in Colleges and Universities under Multi-sensory Audiovisual Integration

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