Music Teaching Research Articles

RETRACTION: Construction and Application of Music Teaching Resources Based on Recurrent Neural Network

RETRACTION: Construction and Application of Music Teaching Resources Based on Recurrent Neural Network

The Application of Spectrogram in the Teaching of High-level Vocal Music Major Students

Abstract Vocal music teaching has developed to the present day, still following the method of oral transmission, but with the development of modern science and technology, sound images can be processed to clearly see the quality of sound used. Students’ vocal signals are used in the article to extract articulation features and construct a vocal spectrogram. The vocal spectrogram is used in vocal music teaching to enhance the students’ timbre resonance. In order to verify its application in dissecting students’ singing effects, the state of different students’ American soprano articulation area is concretized on the spectrogram in terms of students’ voice change differences, breathing aspects, and vocal resonance while comparing the differences between the manual evaluation and the evaluation of the vocal spectrogram analysis. It can be seen that the minimum fundamental frequency of student A in the first group is 191.7 lower than that of student B, which is 287.8, and the maximum fundamental frequency of 1033.2 is also significantly higher than that of student B, which is just the same as the conclusion drawn from the manual scale. To sum up, according to the sound spectrogram, the teacher can well analyze the students’ voice waveforms visually, and the students can adjust the vocal state through the voice waveforms so as to carry out the correct reinforcement training and add new means for the traditional mode of vocal teaching, so as to make the teaching of vocal music gradually realize the visualization and intuition.

Analysis of Corresponding Strategies for Junior Middle School Music Teaching under the Background of Quality Education

Analysis of Corresponding Strategies for Junior Middle School Music Teaching under the Background of Quality Education

Retraction: The approaches and methods of music psychology in the relationship between music emotion and cognition in music teaching activities.

[This retracts the article DOI: 10.3389/fpsyg.2022.1011249.].

Construction on Vocal Music Teaching and Training Mode in Colleges and Universities Based on Data Fusion Technology

Construction on Vocal Music Teaching and Training Mode in Colleges and Universities Based on Data Fusion Technology

Application of auditory perception technology to multimodal teaching innovations in college music

Abstract This study explores a university music teaching system enhanced by auditory perception technology. It delves into the intricacies of auditory perception technology and its integration with multimodal music education, highlighting the potential applications in university settings. Using short Fourier transform and wavelet transform techniques, the system computes Mel frequency cepstrum coefficients (MFCCs) and first-order differential dynamic music characteristics. These are then utilized to construct the multimodal teaching framework through computer programming languages. The multimodal music teaching system was tested and analyzed using data analysis software. The results showed that the experimental group and the control group produced significant differences (P<0.05) in the four aspects of fluency (0.005), flexibility (0.003), originality (0.001), and the total score of singing skills (0.004) of music singing skills. This study not only enriches theoretical research on multimodal teaching innovations in music but also promotes the development of university music education.

Research on College Music Teaching and the Inheritance of Ethnic Music Culture

Research on College Music Teaching and the Inheritance of Ethnic Music Culture

Diversified Teaching Strategies for Ethnic Instrumental Music Courses in Colleges and Universities in the Information Age

Abstract The information age is an era of innovation. Instructional design and development tools make it easier and faster for teachers to organize teaching content; instructional evaluation tools make it more scientific and objective for teachers to evaluate teaching effects; and student management tools pay attention to individual differences of students and realize diversified evaluation perspectives for students. On the basis of the MIDI dataset, signal separation information filtering and other related operations are used to preprocess ethnic instrumental music signals, followed by the construction of an automatic composition model using deep learning technology. Based on the diversified teaching needs of ethnic instrumental music courses in colleges and universities, an instrumental music teaching system was designed by using the automatic composition model and computer programming language, and an empirical analysis of the informatization teaching of ethnic instrumental music courses in colleges and universities was carried out by using experimental comparative analysis. The results show that the overall level of ethnic music in the experimental group improved significantly P<0.05, indicating that the students in the experimental group made significant progress in ethnic music literacy. In contrast, the students in the control group improved but did not highlight, indicating that the proposed teaching system has a facilitating effect on the enhancement of the teaching performance of ethnic instrumental music courses. This study improves the teaching quality of ethnic instrumental music courses in colleges and universities and is of great significance in enhancing students’ music literacy and skills.

Exploration of the Teaching Model of Music and Art in Universities under the Cultivation of Core Competencies

Core competencies connect teaching objectives with teaching practices. The cultivation of core competencies is the fundamental task of implementing moral education and promoting the modernization of education in China. Under the guidance of core competencies, musical art education in universities should readjust its course, deepen teaching reform, optimize teaching models, comprehensively improve the teaching quality of music majors, and promote the long-term development of music teaching in universities. Based on this, this paper takes the cultivation of core competencies as the object of music and art education in universities, and explores its educational reality. The paper explores the path of modernization development of music education in universities under the concept of core competencies from five aspects, including creating a core nurturing environment, expanding music basic knowledge courses, enriching music literacy teaching content, optimizing music literacy teaching strategies, and strengthening music literacy teaching management. It aims to provide useful references for relevant research.

Applying artificial intelligence in teaching music for primary education students at Tan Trao University

Artificial Intelligence (AI) is driving broader and deeper changes in higher education. The application of AI in university teaching includes learner data collection, building learner models, constructing domain knowledge models, and developing teaching models. However, there are still some challenges in applying AI in teaching higher education, primarily concerning the understanding of the relationship between AI and humans, establishing educational goals in AI applications, and ensuring data safety and risks. The article is based on the theory of music teaching and the results of applying AI in teaching to highlight the current situation of music education for primary education students at Tan Trao University. Through an analysis of the current situation, we propose five solutions to apply AI in music education and organize pedagogical experiments to verify feasibility, with the aim of innovating teaching methods and enhancing teaching quality.

Information intelligent teaching method and its influence on vocal music teaching effect

Information intelligent teaching method and its influence on vocal music teaching effect

Construction of a model of differentiation in music teaching combined with the theory of multiple intelligences

Abstract This paper summarizes the theory and nature of multiple intelligences and differentiated pedagogy and proposes a differentiated teaching model that integrates learning styles with numerous intelligences theory. Based on this model, the system provides each learner with a personalized learning program and dynamically generates a sequence of activities that align with the learner’s style characteristics. Teaching cases illustrate the practical application of multiple intelligences differentiated instruction in music classes. Results indicate that prior to implementing Multiple Intelligences Differentiated Music Teaching, student interest in music and music appreciation lessons declined with age, with only 67 students expressing a strong liking for music by the third grade. Following the implementation of differentiated music teaching, the percentage of students who appreciate the repertoire increased to over 41% across all grades and continues to rise. Creating a differentiated music teaching strategy according to students’ intelligence characteristics is effective and significantly promotes the development of students’ multiple intelligences, particularly bodily-kinesthetic, musical, and self-cognitive intelligence (P<0.05).

Combination of Efficient Informationized Music Teaching and Traditional Music Culture in the Internet Era

Abstract Music teaching in education is undergoing a profound change under the development of information technology. Integrating information technology not only enhances teaching efficiency, but also expands the reach of teaching resources. The challenge for educators is to combine the use of modern information technology with the preservation and promotion of traditional music culture. This study discusses how to effectively combine efficient informatization teaching methods with China’s rich traditional music culture in the Internet era, intending to provide new perspectives and strategies for the innovative development of music education. By comparing and analyzing the learning effectiveness of the experimental group (using informatized teaching methods) and the control group (using traditional teaching methods), the study shows that the experimental group’s average improvement rates in music comprehension, skill mastery, and creativity reached 20%, 30%, and 40%, respectively, which were higher than those of the control group. The combination of informatization teaching tools and strategies in this study can significantly improve students’ interest and effectiveness in learning traditional music culture, injecting new vitality into conventional music education.

Introduction to the inheritance and development of national music culture in the teaching of music education in colleges and universities in the Internet era

Abstract Ethnic music culture is a rare and precious artistic treasure in all national cultures, and the inheritance and promotion of ethnic music culture is an essential part of music education teaching in colleges and universities. This paper delves into the characteristics of the development and dissemination of ethnic music culture in the Internet era, with the aim of studying the integration of ethnic music culture into music education teaching in colleges and universities through the use of Internet technology. Through the collaborative filtering algorithm, students’ preferences for ethnic music works are mined so as to recommend accurate teaching resources for college students on the ethnic music online teaching platform constructed based on the collaborative filtering algorithm. In order to fully prove the effectiveness of the teaching platform designed in this paper, the rough set theory and neural network algorithm are used to construct the online teaching quality evaluation model for college ethnic music. The questionnaire survey method is used to study the status quo of ethnic music teaching in colleges and universities, and it is concluded that at present, there are problems in ethnic music teaching in colleges and universities, such as insufficient concepts of students learning ethnic music and insufficient attention to ethnic music in colleges and universities themselves. Through the analysis of the effect of the recommended algorithm, the design of the evaluation index system, and the practical application, the quantitative assessment value of the teaching quality of the ethnic music online teaching platform designed in this paper in the practical application is 92.11, which indicates that the comprehensive rating of the quality of the ethnic music online teaching in colleges and universities in this paper is excellent.

A Study of Music Education Curriculum Design and Evaluation from a Constructivist Perspective

Abstract Music education is of great significance in the cultivation of high-quality talents, but currently there are problems such as music education is not emphasized and the quality being poor. Aiming at this situation, this paper designs a music education program using constructivist theory. At the same time, to explore the teaching effect of the designed music course, the data are analyzed to confirm the public factors by combining KMO, Bartlett method, and factor analysis model, adjusting the weights of teaching indexes based on the public factors and K-Means clustering analysis, and evaluate and analyze the teaching data. The model was applied to teaching evaluation to explore the effects of the designed music course in terms of overall classroom feedback, teaching effectiveness, and evaluation of indicators. Teacher-student interactions were more frequent in the 5-45-minute classroom, the average score of students in the experimental class in the area of interest inquiry was 11.275, which was higher than that of the control class, which was 8.035, and students in the experimental class achieved an overall score of 84.06 and 91.28 on the music exam, while the control class only scored 42.73 and 55.21. Meanwhile, the analysis found that the average evaluation score of students on the content indicators was 78.02, and the rating of some classes reached 92.84. The use of constructivist design in the music teaching classroom can enhance students’ understanding and perception of music, and enhance the efficiency of music learning.

Emotion Appreciation Strategy in College Music Teaching Based on Improved Multimodal RCNN

Abstract People’s judgment of music emotion is highly subjective; how to quantify the music emotion characteristics is the key to solving the music emotion recognition problem. This paper utilizes the Fourier transform method to preprocess the input music sample signal. A digital filter accomplishes the pre-emphasis operation, and the number of frames in the music signal is determined by splitting and windowing through a convolution operation. By utilizing the Mel frequency cepstrum coefficient and cochlear frequency, emotional features of music can be extracted. Improve the multimodal model based on the RCNN algorithm, propose the TWC music emotion framework, and construct a music emotion recognition model that incorporates the improved multimodal RCNN. The proposed model’s impact on music emotion appreciation is evaluated through experiments to identify music emotions and an analysis of college music teaching practices that emphasize emotion appreciation. The results show that 1376 songs belonging to the category of “relaxation” are assigned to the category of “healing”, which is only 4 songs short of the target, and the labeling of the songs is not homogeneous, and the emotional recognition of the model is consistent with the cognition. The mean value of the empathy ability of college students in music emotion appreciation is 69.13, which is in the middle-upper level, indicating that the model proposed in this paper has a good effect on the cultivation of students’ music emotion appreciation.

Implications of the Musical “The Sound of Music” for Music Teaching in the Compulsory Education Section

Implications of the Musical “The Sound of Music” for Music Teaching in the Compulsory Education Section

Innovative Teaching of College Vocal Music Courses Aided by Information Integration Technology

Abstract The article adopts the correlation function method to extract the fundamental frequency features of vocal speech signals and processes this information through the cepstrum method. Then, the audio signals are corrected by linear smoothing to match the features of the students’ audio signals with the features of the musical score to determine the accuracy of the vocal music. The study also includes quantization, frame-splitting, and windowing preprocessing of the audio signals, and constructing an unwritten audio signal feature set based on correlation feature selection. The article also proposes an innovative metaphorical method for improving the teaching mode of vocal music courses in colleges and universities. It analyzes the auxiliary role of information technology in teaching vocal music courses by combining simulation experiments with the effects of practical application. The study results show that the students’ vocal singing fundamental frequency range is close to the standard, roughly 123 to 200, with a maximum error value of 24. With the assistance of information fusion technology, the average score increment of the students’ vocal singing reaches 6.088 points, proving this method’s effectiveness in improving the quality of verbal music teaching.

Digital Innovation Path of Traditional Music Culture into Modern Informational Music Teaching

Abstract This study proposes an intelligent teaching model for music that incorporates traditional music culture and scientifically evaluates learning outcomes through a simulated annealing algorithm. The algorithm determines the initial temperature by adaptive function transformation, which enhances its applicability and generalization. The music intelligent teaching model is applied in actual teaching and data are collected by comparing and analyzing the learning outcomes of two parallel classes using questionnaires and statistical methods. The results of the experiment showed that the mean scores of the students in the experimental class were significantly better than those of the control class in terms of linguistic intelligence (P=0.042) and musical intelligence (P=0.003), indicating the effectiveness of the teaching model. The most significant advantage of the model is that it allows students to learn anytime, anywhere, free from the constraints of time and space, which amounted to 60.8%. However, its main limitation was the tonal differences in digital course recordings. Overall, this study provides new ideas and methods for intelligent teaching of music integrating traditional cultural elements, which is of great significance for improving the quality of education.

An ecological music education model based on deep learning: a blend of tradition and innovation

Abstract With the improvement of the status of music education, the reform of music education mode is imminent. The intersection of tradition and innovation is achieved by combining ecological education and deep learning concepts to construct an environmental music education model based on the traditional music education model. The research mainly focuses on intelligent music generation and its auxiliary effects in ecological music education. The steps are to complete the intelligent generation of multi-track music through the HL-MTMG model by combining the blended learning module and reward feedback module after defining the problems of music rhythm and melody problems. In analyzing the efficacy of ecological music education based on deep learning, it was concluded that the satisfaction rate of the generated music samples ranged from 66% to 72%, and the average score of students’ satisfaction with the classroom teaching of the ecological music teaching model based on deep learning ranged from 3.313 to 4.253. The environmental music education model through deep learning can significantly enhance the impact of music education and encourage students’ interest in music learning.