Music Teaching Research Articles

Strategies for Effective Integration of Music Teaching and Environmental Education

In the context of the gradual deterioration of the modern ecological environment, there is a strict need to improve the quality of environmental education. Current environmental education has grown somewhat with increased government investment. However, old teaching methods seem inadequate to address the current situation. Integrating music teaching into environmental education, as shown in this article, may be a good solution to this problem. This fun and educational approach is a good way to increase students' interest in learning.

Analysis of Music Teaching Problems in Chinese Universities

This study aims to explore the problems of music teaching in Chinese colleges and universities. Through the review and analysis of the existing literature, it is found that music teaching in Chinese colleges and universities suffers from the problems of homogenised content, outdated methods and insufficient teachers. Among them, the problems in teaching are specifically reflected in the following three aspects: music teaching in Chinese colleges and universities tends to favour traditional classical music, ignoring other genres of music, students lack of music education that combines with the trend of the times, and the influence of China's education system and policies. Outdated teaching methods are specifically manifested in the following 3 aspects: neglecting the active participation of students and the cultivation of practical ability, lack of innovative teaching means and tools, and the existence of the neglect of students' individual needs. Inadequate teacher strength is specifically manifested in the following 3 aspects: inadequate teacher training system, lack of teachers with professional skills, and imperfect teacher mobility and file management.

Analysis of the Reasons for the Problems of Music Teaching in Chinese Universities

The reasons for the problems of music teaching in Chinese colleges and universities are manifold. Firstly, the influence of education system and policy is an important factor. The current education examination system in China pays too much attention to scores and promotion rates, leading schools and teachers to pay more attention to exam-oriented education, and music education often becomes a neglected part. At the same time, the unbalanced distribution of educational resources also makes some colleges and universities with poor music teaching conditions and insufficient teachers to provide high-quality music education. Secondly, the backwardness of the concept of music education is also one of the causes of the problem. In addition, the imperfection of teacher training and selection mechanism is also one of the causes of the problem. At present, the training system for music teachers is not sound, and there is a lack of ways to train music teachers with comprehensive qualities. Meanwhile, the irrationality of the teacher evaluation mechanism also prevents some music teachers with professional skills from getting due recognition and incentives, which leads to the shortage of teachers.

Reform and Innovation of Wind Music Chamber Music Teaching Mode in Art Colleges and Universities

This article aims to explore the reform and innovation of the teaching mode of wind music and chamber music in art colleges. With the development of society and the reform of music education, the traditional chamber music teaching model has been difficult to meet the needs of students and the development requirements of society. Therefore, we need to carry out continuous reform and innovation to meet the needs of the new era. This article first analyzes the problems existing in the traditional indoor music teaching model, then discusses the importance of reform and innovation, and puts forward some specific measures for reform and innovation.

The Influence of Short Video Music on the Development of Middle School Students' Mental Health: Exploring the New Music Classroom from the Perspective of Music Psychology

Short video music has a greater and deeper impact on the daily life of junior high school students. In order to explore the causes of its formation, from the perspective of music psychology and therapy, from the characteristics of short video music and junior high school students' psychological development, this paper analyzes how short video music affects the ears of teenagers. Under the influence of mass media, whether music teachers can make use of these characteristics to better apply them to the classroom. How to use short video music as a "double-edged sword" has become one of the important research topics in music teaching.

Personalized music teaching service recommendation based on sensor and information retrieval technology

In order to fully utilize the existing resources of music information, people have found that music information retrieval technology has important research significance for personalized music teaching. Overall, music information retrieval technology is still in the experimental exploration stage and lacks technical and practical systems. In this context, this article proposes recommendation algorithms that can effectively adjust the content of information services based on user preferences. However, recommendation algorithms are still in an immature and complex stage, and there are still issues with their accuracy. In response to the issue of recommendation accuracy, this article utilizes information retrieval technology to optimize recommendation algorithms. Combine these two algorithms for recommendation. The main steps that affect recommendation results in recommendation algorithms include similarity calculation, nearest neighbor selection method, and score prediction method calculation. The experimental results indicate that the proposed algorithm can effectively solve the existing problems of users, and can also accurately retrieve the content of interest, greatly improving the diversity of the proposed content. We use utilizing algorithmic learning to create a personalized music teaching system that enables students to independently advance towards their self-development goals, ultimately achieving the goal of promoting the harmonious development of students' personalities.

Analysis of Teaching Mode of College Music Composition Theory Course Based on Data Analysis

After learning the Soviet model and developing it today, the rudiment of professional music education established in the 1930s has formed the burden of various historical problems. At the same time, in the ideological collision between China and the West, various concepts and viewpoints around music teaching also appeared, but this is not the main research object because there is no answer at all; therefore, it is necessary to make more rational improvements to the relevant experience, new ideas and new ideas. Based on the theoretical basis of in-depth algorithm and constraint solving, this research starts from the current music teaching in colleges. It explores the curriculum mode that is conducive to the development of music in the author’s country. The experimental results show that in the teaching mode of music composition theory courses in colleges and universities, the music composition optimization algorithm (MMC) has a profound impact on the teaching effect of the course. When solving Madcap’s, the current optimal solution significantly impacts the results. In the curriculum problem, due to the constraints of the curriculum schedule problem, MMC does not show a promising solution effect but has good performance on the curriculum scheduling problem with relatively few constraints, so when solving problems with fewer constraints, the reader can choose MMC.

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.

E-learning and speech dynamic recognition based on network transmission in music interactive teaching experience

The research adopts the network transmission technology to realize the framework of e-learning, and combines the speech dynamic recognition technology to improve the interactive music teaching experience. By establishing an online learning platform, the network is used to transmit learning resources such as audio, video and text. In the application of speech dynamic recognition technology, the modern speech recognition algorithm and artificial intelligence technology are used. Let students sing or play on a device such as a microphone or a mobile phone and transmit their sound signals to the system. Through speech dynamic recognition technology, students 'audio is analyzed and processed in real time, and students' singing or performance is evaluated and feedback. The system can analyze students' intonation, rhythm, timbre and other musical elements, and evaluate and guide them according to the preset scoring standards, so as to help students improve their playing skills. Through the combination of network transmission technology and speech dynamic recognition technology, students can enjoy a more personalized and interactive teaching experience in music learning. The systematic real-time evaluation and guidance function can also help students adjust their performance skills in time and provide targeted learning suggestions.

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.

Application of recommendation system based on fuzzy logic in music culture communication and music teaching management

Music has been utilized throughout history as a medium for cultural communication and artistic expression, embodying various nations’ and societies’ ideologies and experiences. Music culture communication is crucial for encouraging cultural diversity and understanding and developing social cohesion and community building among people. Music teaching management is the process of setting up, arranging, and executing music education programs in a manner that successfully teaches students the essential skills and information necessary for becoming proficient musicians. Users’ exact preferences for various areas of attraction cannot be determined, nor are users’ choices for traditional music recommendations sufficiently accurate. A recommender system estimates or anticipates people’s preferences and offers appropriate recommendations. First, the sparsity problem emerges when insufficient data is accessible for the recommendation, and the coverage is one of the key drawbacks of social labeling. Cold start issues might be difficult since new music learners might not have given sufficient details about their musical tastes. Hence, the Hybridized Fuzzy logic-based Content and Collaborative Music Recommendation (HFC2MR) system is proposed to create personalized music teaching plans that are effective and engaging for each student based on their music preferences and learning outcomes. Enhanced Fuzzy C-Means clustering is used in collaborative recommendations to group users based on their shared musical tastes and to provide each user with more individualized, accurate music recommendations based on other users’ listening habits and preferences in the same cluster. Subsequently, an assessment of the recommender system using parameters like accuracy, precision, f1-score, and recall ratio is shown with optimal cluster selection. The coverage ratio is used to compare experimental data based on skill capacity covered through the assessment of music teaching. RMSE metric is used to evaluate the accuracy of students’ performance based on music attributes related to teaching goals.

“文化润疆”视域下的新疆中小学音乐课程思政教学探索

Xinjiang is a region where many ethnic groups live together, and the ideological and political education plays a prominent role in primary and secondary schools. In the context of “Nourishing the Cultures of Xinjiang”, this study explores use the multi-ethnic music resources and music education as a medium to seek to maximize the impact of music teaching on the ideological and political development of primary and secondary school students in Xinjiang. The aim is to form correct values, promote positive social energy, foster ethnic unity, and enhance cultural confidence.

Simulation of vocal teaching platform based on target speech extraction algorithm and cloud computing e-learning

This paper design a platform that conforms to teaching characteristics, starting from independent data, business logic, and relatively independent functions, a system music teaching platform has been established, and a wide range of system architecture designs have been completed. Therefore, this article adopts targeted speech extraction algorithms to design the application of cloud computing databases on music teaching platforms. This article designs a cloud computing database system based on cloud computing technology under the target speech extraction architecture. The system utilizes corresponding technologies to solve the problems that exist in the system. And propose a training process for a directed speech extraction algorithm and multitask learning scheme based on speech separation and mixed speech, which includes a speech separation module, an embedded attention mechanism module, and a speech extraction module. The existence of targeted speech extraction algorithms and cloud computing databases has made music education more three-dimensional and networked, and teachers' teaching methods and practices have begun to develop on a larger scale. This teaching method has had a profound impact on music education, not only improving students' artistic literacy, but also laying the foundation for innovation and reform of similar courses.

Anxiety Level of the Music Teacher Candidates Studying Music Teaching in Türkiye

The most important factor negatively affecting individuals’ success in professional music education is anxiety of unemployment. For them, graduation from university means the beginning of a life of either employment or unemployment. Job selection plans about the role in real life, friendships, fear of unemployment, and other responsibilities are some of the factors creating anxiety. The aim of this research is to discover the professional anxieties of the music teacher candidates studying in music education departments. The study sought to investigate whether the professional anxiety of the teacher candidates varies depending on their gender, income level of their families, the way they studied musical teaching, and their grades. This research is a descriptive study conducted for the purpose of determining the “anxiety levels” of music teacher candidates in Turkey. The data was collected using a personal information form and the anxiety scales for teacher candidates. The sample group of the study consisted of 80 students studying in Marmara University. According to the study, meaningful variances exist between the variables such as “gender, grade, and income level of the family” and professional anxiety levels.

Exploration of Music Teaching Reform Program in Colleges and Universities Oriented on the Development of Corporate Culture Industry

Exploration of Music Teaching Reform Program in Colleges and Universities Oriented on the Development of Corporate Culture Industry

Music teachers’ perceptions of intercultural competence in Spain

Intercultural competence is essential in schools attended by students of different ethnicities, cultures, and religions. A number of studies have suggested that music facilitates the transmission of values and emotions inherent in intercultural competence. The role of teachers is considered essential as well. Thus, it is important to consider music teachers’ perceptions on intercultural competence. This study drew out the perceptions of 74 teachers delivering music teaching in primary and secondary schools, conservatories, and music schools in Spain. Data were gathered through semi-structured interviews. A content validity index of 0.92 was obtained after considering the judgments of 19 experts in the fields of research and practice in music education. The teachers’ responses were analyzed using NVivo (11). The findings highlighted the positive perceptions of the benefits of intercultural competence in students. Aspects such as the lack of training, the requirement to teach a planned/structured curriculum and the shortage of advisors on the subject, emerged as negative perceptions communicated by the teachers.

E-learning application in immersive music entertainment teaching system based on genetic network algorithm

The problem of traditional music teaching is that students' interest and participation in learning are not high, which leads to the decline of teaching effect. Therefore, this study proposes an e-learning approach based on genetic network algorithms, aiming to enhance students' learning experience and engagement through an immersive music entertainment teaching system. The research has established an immersive music entertainment teaching system, which combines virtual reality technology to provide an immersive music learning environment. A genetic network algorithm is then used to optimize the e-learning modules in the system to improve the personalization and interactivity of the learning process. By collecting students' learning data and feedback information and using it as input to genetic network algorithms to update the parameters and structures in the learning module. The results show that e-learning based on genetic network algorithm has achieved remarkable results in an immersive music entertainment teaching system. When using the system for music learning, students showed higher enthusiasm and investment in learning, and achieved better academic performance. Students' experience and satisfaction with the system were also improved.

Technological Pedagogical and Content Knowledge (TPACK) Integration in Teaching Music : A Perception of High School Music Teacher

This study aims to describe the perceptions of TPACK integration among high school music teachers in Bandung, West Java province, Indonesia. This study used mixed-methods with a sequential explanatory design. The research subjects consist of 19 respondents. In the first phase, quantitative data were obtained through questionnaires and analyzed using descriptive and inferential statistical techniques. In the second phase, in an effort to explore the results of the questionnaire, qualitatively conducted interviews as well as observations. The findings of this study showed that integration of each TPACK domain in music teaching was perceived as high confidence. Each domain, from one to another, positively correlated with varied interpretations. Demographic characteristics, both gender and tenure, did not show contrasting differences in confidence. This perception is the impact of the teacher education process that has been experienced, involvement in a number of trainings that have been followed, support from stakeholders in the procurement and enrichment of educational and technological resources, and the dynamics of the times that force them to be adaptive and innovative towards technological developments.

Breaking the sound of silence: Professional learning in an early career music teacher conversation group

Professional development, typically initiated by administrators to improve student achievement outcomes, is often irrelevant to the needs of early career music teachers. As music teacher educators, we were concerned about issues of importance to early career music teachers as they entered the music teaching profession. We explored conversation as a conduit of reflection and professional learning by convening a conversation group of five early career music teachers who gathered over six, one-hour-long meetings. Guiding their discussions were topics they identified in questionnaires administered before and during the study. Data included audio-visual recordings of the meetings, questionnaires, and researcher memos. Four themes emerged from our analysis of their conversations: (a) educating administrators and mentors, (b) knowing their place, (c) overcoming a lack of resources, and (d) giving students lifelong musical skills. We interpreted these findings through the lens of Snow’s principles of symbolic interactionism. The conversation group facilitated the music teachers’ move from the initial shock of sedimented school culture to a position of agency. The freedom of conversation around chosen topics of professional and personal importance provided the early career music teachers with choice, self-direction, collective support, and agency—key components of professional learning.

Research on the Innovative Pathway of ChatGPT Enabling Rural Music Teaching from the Perspective of the Metaverse

This study delves into the innovative integration of ChatGPT within the metaverse context, specifically for rural music education. The metaverse, a converging virtual space, offers unprecedented opportunities for enhancing teaching methods. However, creating engaging and effective digital resources remains a challenge. This paper explores how ChatGPT's advanced natural language processing capabilities can be harnessed to construct dynamic and interactive music teaching materials tailored to rural learners. The proposed approach aims to foster a more immersive, interactive, and intelligent learning environment, ultimately elevating the quality of music education in rural areas.