Vocal Music Teaching Research Articles

Research on the Value and Path of Family Art Education-Take Vocal Music Education as an Example

By discussing the application of vocal music education in family art education, this paper reveals the value and diversified implementation path of family art education. Family art education not only helps to improve children's cognitive, emotional and social skills, but also promotes the improvement of parent-child relationship through art forms. On the basis of relevant research at home and abroad, taking vocal music education as an example, we analyze the unique role of family art education and propose a feasible implementation path. The research believes that family art education can cultivate children's artistic literacy, innovation ability, self-confidence and social skills, contribute to the enhancement of family cohesion, and also provide theoretical and practical guidance for the promotion of art education in the family environment.

A Training Person Need Analysis for Music Teachers Readiness to Teaching Music Vocational for Visually Impaired Student: A Review

Music vocational is a programme that provides students with work, networking and learning activities outside of school through music performance or other musical activities that encourage students to gain some experience in a music industry job setting. However, music vocational education is still developing and is currently trying to reach students with special needs through special schools. The standardised skills that are commonly used and developed in society need to be understood and practised by children with special needs, especially the visually impaired students. However, its programme some case not being executed by the relevant teachers background. This study aims to examine the need for relevant music teachers for the implementation of music vocational training programmes in special education settings. Literature study on this study to explain the standard specifications of music vocational education and training teachers and how to implement vocational or specialised music learning for visually impaired students. The qualitative data show that vocational music education requires teachers with at least two years' experience and knowledge of music and the music industry, as well as several strategies for teaching visually impaired students in vocational music programmes that are directed towards self-determination in preparation for possible future careers.

No one is going to rock up and tell you! How a hidden blend of family capitals facilitates access to and success in structured instrumental music education in Ireland

ABSTRACT While the dominant orthodoxy within the field of educational research tends to document educational inequalities, it often fails to name the key drivers of advantage. By reflecting on core concepts of Bourdieu this article seeks to name the complex blend of parental capitals that enable access to and success in structured, extra-curricular activities (ECA) such as instrumental and vocal music education (IME). Besides the intrinsic benefits of IME, the article points to a particular extrinsic benefit that is unique to Ireland, in that performance is one of the essential activities on the Leaving Certificate (LC) music syllabus. This is important as it has implications for universal equality of access and opportunity. The research draws data from selected interviews conducted with mothers whose children were engaged in structured IME. In highlighting the often hidden and taken for granted capitals needed for IME access, the research also raises the issue of intra-class differences which can and do impact on outcome when navigating the structured IME market in Ireland. It also seeks to operate as a springboard for a set of broader theoretical arguments and highlights the role of institutional demands and material forces when considering the power of family capitals in this context.

The possibility of the application of modern vocal music technology in vocal music education / La potencial aplicación de las nuevas tecnologías de la música vocal en la enseñanza de la música vocal

Information technologies in the modern world cover many fields of activity, including education. This contributes to the transformation of the educational process and the development of students’ independence. The main purpose of this paper is to assess the possibilities of using modern vocal music technologies in Chinese music education. To achieve the above purpose, the authors of the manuscript analysed the data obtained and divided the interactive technologies that can be used for vocal music education into the following four groups: software for studying theoretical frameworks, universal software, spectrogram software and audio editing software. The selected applications help learners acquire extensive vocal knowledge. Using the Likert scale, the researchers found that the applications of preference chosen by the respondents in each of the presented groups were Explain Everything (93%), Sing Sharp (87%), Sodaphonic (73%) and MAGIX Music Maker (82%). Sing Sharp provides vocal lessons in the form of a game. Sodaphonic eliminates low-quality performance elements in the process of creation of audio files. MAGIX Music Maker helps users create new songs using virtual musical instruments.

The Contribution of Vocal Music Education in Colleges and Universities to Cultural Inheritance and Innovation

The Contribution of Vocal Music Education in Colleges and Universities to Cultural Inheritance and Innovation

Neuropedagogy as an Aspect of Developing Spiritual Culture in the Context of Vocal Musiс

Music education significantly influences personality development and considers self-expression, self-realization and self-actualization as critical sociocultural and pedagogical tasks. This article aims to explore theoretical and practical aspects of vocal art’s influence on nurturing one’s spiritual culture within educational activities, viewed through the prism of neuropedagogy. It addresses challenges in applying psycho-pedagogical techniques of neuropedagogy in vocal education for competency development. The main focus of the study lies in the methodological underpinnings of neuropedagogy and its impact on overall personal development. Various methods, including explanatory and descriptive ones, analysis and deduction, were used to determine the purpose of the article. The findings are not comprehensive. However, they provide a foundation for asserting that the need for social grouping leads to tensions where the pursuit of the common good for a specific social group may conflict with the concept of individual well-being. This dynamic is particularly relevant in the context of neuropedagogy. The article concludes that understanding the role of vocal music education is crucial for personality development as it is related to neuropedagogy.

A New Model of Vocal Music Teaching in the Context of Internet Distance Learning

As Internet technology evolves, distance learning emerges as a pivotal mode of education. In music education, vocal teaching faces limitations in traditional face-to-face methods. This paper explores the advantages of Internet-based remote vocal music teaching and proposes a new mode leveraging an online platform, multimedia technology, and real-time interaction. The study assesses its impact on theoretical knowledge, vocal skills, singing proficiency, satisfaction, and improvement. Results demonstrate the effectiveness of Internet-based remote teaching, overcoming geographical barriers and providing flexible learning opportunities. Multimedia tools enhance skill demonstration, making learning more intuitive. The study reveals that Internet distance vocal teaching rivals traditional methods in improving singing skills and outperforms in teaching music theory. Moreover, students express higher satisfaction with this innovative approach, establishing it as a promising mode in vocal music education.

The Practice of Italian Pronunciation Teaching in Vocal Music Teaching in Colleges and Universities

With the development of the world, vocal music teaching in colleges and universities has been further optimized. Teachers in this new era actively introduce new education concepts and teaching methods, to better arouse students’ interest, strengthen their understanding and application of what they have learned, and improve the education effect. As a popular teaching aid at present, Italian vocal music teaching can greatly enrich the content of vocal music teaching in colleges and universities, broaden the path of education, and greatly promote the comprehensive development of students. In this aspect, this paper will analyze the practice of Italian pronunciation teaching in college vocal music teaching and put forward some opinions for your colleagues’ reference.

The Integration of Shanbei Folk Songs in Vocal Music Teaching in University of China

Northern Shaanxi folk songs are an important part of China's folk music, with distinctive regional characteristics and deep cultural heritage. With the development of society and the improvement of education level, the teaching of vocal music in colleges and universities is gradually showing a diversified trend. The integration of northern Shaanxi folk songs into college vocal teaching not only helps to inherit and promote the culture of northern Shaanxi folk songs, but also enriches the teaching content and improves the comprehensive quality of students. This paper discusses the characteristics of northern Shaanxi folk songs, the significance and value of integration, teaching methods and strategies, etc., aiming to provide new ideas and practical references for vocal teaching in colleges and universities.

Research on the Application of Red Songs in Music Education in Colleges and Universities under the Concept of Curriculum Thinking and Politics

Red classic songs have irreplaceable research value in the field of vocal music teaching in colleges and universities in China. Under the environment of the development of curriculum ideology, integrating red songs into the process of vocal music teaching in colleges and universities, seeking for the fit between red songs and vocal music teaching in colleges and universities, and carrying out the teaching in a better way are the problems that must be paid attention to and researched for the vocal music teaching in colleges and universities at present, and the organic combination of the two is able to The organic combination of the two can further implement the fundamental teaching task of vocal music teaching and effectively improve the quality of teaching. This paper discusses the current situation of teaching vocal music in colleges and universities. Under the concept of course ideology, the importance of red songs into the process of vocal music teaching has been studied and analysed to effectively establish the vocal music classroom under the concept of course ideology, and combined with the specific status quo of vocal music teaching in colleges and universities in China, it analyses the specific use of red songs in the process of vocal music teaching in colleges and universities under the concept of course ideology to effectively improve the quality and level of vocal music teaching in colleges and universities in China.

CCM in the choral classroom: Pedagogical practices of two high school music educators

This study aims to enrich the discourse on integrating contemporary commercial music (CCM) genres into vocal music education. Despite existing methodologies by vocal pedagogues, there is a pressing need for a formalized CCM pedagogy. Developing such a pedagogy requires understanding and possibly drawing inspiration from the pedagogical practices and philosophical beliefs of current vocal music educators teaching these styles. To delve deeper, the author conducted a qualitative case study with two suburban high school music educators proficient in CCM vocal techniques. Each participant underwent a 30- to 40-minute semi-structured interview and an observed rehearsal, and provided course materials. Analysis revealed key themes: Caroline’s motivation, teaching techniques and community response; and Matt’s musical background, motivation, beliefs, teaching practices and community response. Despite contextual differences, both shared musical backgrounds and positive community feedback. These findings offer insights for vocal music educators and teacher education programmes.

Research On The Strategy Of Preserving And Transmitting Hakka's Traditional Music

Han music and Han opera are not only unique forms of music and opera in the Hakka region but also represent the essence of Chinese musical culture. However, in today's era of rapid scientific and technological development, they have encountered survival challenges. We should re-examine their development process, understand their cultural value, and learn from others' experiences. By emphasizing the importance of educational inheritance, adjusting the objectives of music education in local normal colleges and universities, modifying the curriculum structure, developing new courses rich in Hakka local music characteristics, and enriching the content of vocal music teaching, we can better protect and inherit traditional Hakka music. Additionally, strengthening media publicity, enhancing educational outreach, and encouraging activities of folk music clubs are other effective channels to achieve this goal.

Retraction: Analysis of psychological characteristics and emotional expression based on deep learning in higher vocational music education

Retraction: Analysis of psychological characteristics and emotional expression based on deep learning in higher vocational music education

Develop a curriculum for first-year students at Aksu vocational and technical college’s school of humanities and arts, focusing on teaching Chinese folk songs

This research investigates the integration of Chinese folk songs into the curriculum at Aksu Vocational and Technical College, situated in the culturally diverse Aksu region of Xinjiang, China. This study identifies significant gaps in current music education methods, particularly the disconnect between theoretical learning and practical application, which hinders students’ ability to engage deeply with the material and develop employable skills. Employing a mixed-methods research design, both qualitative and quantitative approaches were used to develop, implement, and evaluate a teaching package specifically designed for first-year students. The package aimed to enhance students' understanding and appreciation of Chinese folk music, thereby improving their cultural competence and engagement with the academic content. The findings suggest that the new curriculum significantly boosted the students' knowledge of and connection to folk music traditions. It also facilitated a better understanding of the music’s historical, cultural, and social contexts. Moreover, the teaching package fostered essential skills in cultural awareness and academic involvement, contributing effectively to vocational music education in a multi-ethnic setting. This approach not only bridges the gap between theory and practice but also enriches the students’ educational experience by embedding cultural appreciation into the learning process, making a substantial contribution to the field of music education.

Music Teaching Mode of Colleges and Universities Based On Hierarchically Gated Recurrent Neural Network (HGRNN) and Lyrebird Optimization Algorithm (LOA)

Colleges and universities play a crucial role in nurturing talent and providing highly skilled individuals for various sectors of society. Through modifications over time, the model of music education at colleges and universities has advanced. However, there are still numerous issues that demand careful consideration. This manuscript proposes a hierarchically gated recurrent neural network (HGRNN) optimized with the lyrebird Optimization Algorithm (LOA) for predicting music teaching mode of colleges and universities (MTM-HGRNN-LOA). Initially, the data is collected via real time basis. Afterward, the data is fed to an unscented trainable kalman filter (UTKF) based pre-processing process. In the pre-processing segment, it enhances training rate and eliminates the of batch size dependency. The pre-processing output is given to modified spline-kernelled chirp let transform (MSKCT). The input signal undergoes feature extraction to derive the primary features, which are subsequently combined to yield more comprehensive features in an efficient manner. After that, the extracted features are given to a hierarchically gated recurrent neural network and lyrebird optimization algorithm for effectively classifying the music teaching mode for best, good, normal, satisfactory and poor. The weight parameters of hierarchically gated recurrent neural network are optimized using the lyrebird optimization algorithm. The proposed method is implemented in python and evaluated their performance with existing methods. The performance metrics, like precision, F1-score, accuracy, specificity, sensitivity, and ROC is analysed to the proposed method's performance. The proposed MTM-HGRNN-LOA methods of accuracy are provide 97% best, 98% good, 95% normal, 98% satisfactory and 97% poor music teaching mode. The existing methods MTM-CNN, MTM-BPNN and MTM-GNN, the specificity becomes 90%, 70%, 79% best, 77%, 75%, 65% good, 66%, 85%, 84% normal, 59%, 58%, 70% satisfactory, 61%, 79%, 81% poor music teaching mode. The results show that the proposed MTM-HGRNN-LOA method outperforms other existing techniques, such as online vocal music teaching quality using Back Propagation neural network and convolutional neural network based College-Level Music Teaching Quality Evaluation.

On the Positive Impact of China’s Ancient Poetry and Art Songs on Vocal Music Education

Since introducing China’s ancient poetry and art songs into vocal music classes these years, the author has increasingly perceived their positive impact on vocal music education. The author is willing to record these feelings and share them with fellow educators. It is hoped that China’s ancient poetry and art songs will positively influence various fields and, on a broader scale, play an even more profound, positive and far-reaching role.

Analysis of the Integration Strategies of Traditional Culture in Vocal Music Teaching in Colleges and Universities

With the development of the times, vocal music teaching in universities is constantly reforming and innovating. Traditional music culture, as a treasure of Chinese culture, has a profound historical heritage and unique forms of artistic expression. It is not only the crystallization of the wisdom of predecessors, but also an important way of cultural inheritance and value expression. Traditional music culture contains rich emotions and connotations, which can convey people's insights into life, nature, and society, and has unique aesthetic value and artistic charm. However, in some universities' vocal music teaching, traditional Chinese music culture teaching has gradually been marginalized. Many vocal music teaching generally focuses on technical training and learning Western music, neglecting in-depth research and inheritance of traditional Chinese music culture. This has led to students' insufficient understanding and appreciation ability of traditional Chinese music, and they cannot truly experience the unique charm and emotional expression of Chinese music. Therefore, in vocal music teaching in universities, it is necessary to strengthen the teaching of traditional Chinese music culture.

Simulation of e-learning in vocal network teaching experience system based on intelligent Internet of things technology

With the rapid development of smart Internet of Things technology, education is also starting to use this technology to improve the learning experience. As an art subject, vocal music teaching has many limitations in the traditional face-to-face teaching methods, and e-learning provides new possibilities for vocal music network teaching. We analyze the problems and challenges existing in the traditional face-to-face mode of vocal music teaching, and then based on the intelligent Internet of Things technology, we design a vocal music network teaching experience system. The system combines sound acquisition equipment, intelligent audio processing algorithm, virtual classroom and other technologies to realize the simulation experience of online vocal music teaching. We have developed an intelligent audio processing algorithm for analyzing and processing students’ singing sounds. This algorithm can detect problems in tone, timbre, rhythm, and more, and provide real-time feedback and advice. In this way, students can understand the shortcomings of their own singing skills, and make timely adjustments and improvements. This study shows that e-learning based on intelligent Internet of Things technology has important application value in vocal music network teaching. By simulating the classroom environment and providing real-time feedback, students can obtain a better learning experience and improve their vocal skills.

Optimized multiscale deep bidirectional gated recurrent neural network fostered practical teaching of university music course

Music education has a rich historical background. Nevertheless, the introduction of modern teaching methods is relatively delayed. In recent years, there has been a remarkable acceleration in the advancement of music education. A promising tool that has emerged to revolutionize education as a whole is Virtual Reality (VR) technology, which offers immersive and interactive experiences across various disciplines. At the university level, integrating VR technology into music education opens up exciting opportunities to enhance practical teaching methods and provide students with enriched musical experiences. Virtual Reality together with Internet of Things (IoT) demonstrates its capabilities in various tasks, but its widespread availability in online learning remainders a pressing challenge that needs to be addressed. In pre-processing, it removes noise data using Dynamic Context-Sensitive Filtering (DCSF). VR technology creates an unparalleled learning environment, it transporting students to virtual concert halls, recording studios, or historical music venues. Hence the Multiscale deep bidirectional gated recurrent neural Network (MDBGNN) improves the practical teaching of music course concept, like Music theory, harmony, and rhythm can be visualized and experienced in VR. Finally, Dung Beetle Optimization Algorithm (DBOA) is employed to optimize the weight parameters of MDBGNN. The proposed MDBGNN-DBO-UMC-VRT is implemented in Python. The proposed method is analysed with the help of performance metrics, like precision, accuracy, F1-score, Recall (Sensitivity), Specificity, Error rate, Computation time and RoC. The proposed MDBGNN-DBO-UMC-VRT method attains 13.11%, 18.12% and 18.73% high specificity, 11.13%, 11.04% and 19.51% lower computation Time, 15.29%, 15.365% and 14.551% higher ROC and 13.65%, 15.98%, and 17.15% higher Accuracy compared with existing methods, such as Enhancing Vocal Music Teaching through the Fusion of Artificial Intelligence Algorithms and VR Technology (CNN-UMC-VRT), Exploring the Efficacy of VR Technology in Augmenting Music Art Teaching (BPNN-UMC-VRT) and Implementing an Interactive Music-Assisted Teaching System Using VR Technology (DNN-UMC-VRT) respectively.

Fuzzy logical system for personalized vocal music instruction and psychological awareness in colleges using big data

Traditional psychological awareness relating to vocal musical instruction often disregards the impact of earlier experiences on music learning could result in a gap in meeting the needs of individual students. Conventional learning techniques of music related to psychological awareness for each individual has been focused on and addressed in this research. Technological upgrades in Fuzzy Logic (FL) and Big Data (BD) related to Artificial Intelligence (AI) are provided as a solution for the existing challenges and provide enhancement in personalized music education. The combined approach of BD-assisted Radial Basis Function is added with the Takagi Sugeno (RBF-TS) inference system, able to give personalized vocal music instruction recommendations and indulge psychological awareness among students. Applying Mel-Frequency Cepstral Coefficients (MFCC) is beneficial in capturing variant vocal characteristics as a feature extraction technique. The BD-assisted RBF can identify the accuracy of pitch differences and quality of tone, understand choices from students, and stimulate psychological awareness. The uncertainties are addressed by using the TS fuzzy inference system and delivering personalized vocal training depending on different student preference factors. With the use of multimodal data, the proposed RBF-TS approach can establish a fuzzy rule base in accordance with the personalized emotional elements, enhancing self-awareness and psychological well-being. Validation of the proposed approach using an Instruction Resource Utilization Rate (IRUR) gives significant improvements in engaging students, analyzing the pitching accuracy, frequency distribution of vocal music instruction, and loss function called Mean Square Error(MSE). The proposed research algorithm pioneers a novel solution using advanced AI algorithms addressing the research challenges in existing personalized vocal music education. It promises better student outcomes in the field of music education.