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1
Ma, Yao. "Feasibility Analysis of Intelligent Piano in Piano Teaching." Scientific Programming 2022 (October 10, 2022): 1–8. http://dx.doi.org/10.1155/2022/5010428.
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With the rapid development of artificial intelligence, big data, blockchain, and other technologies, the impact of intelligent environment on the development of education has become more and more profound. Other developed countries have realized that education reform is urgent in the intelligent environment. So as to seize the major strategic opportunity of artificial intelligence development, my country has optimized the teaching content, teaching methods, and teaching methods of traditional piano teaching on the basis of respecting the traditional piano teaching concept. Upgrade to achieve the innovation of the relationship between teaching and learning in piano education in normal schools, and create a new situation for piano teaching in normal schools. Based on the current situation of piano education for musicology majors in normal schools, this paper takes the intelligent piano as the research object, compares the advantages and disadvantages of the application of smart pianos and traditional pianos in the environment of normal schools, combines the intelligent technology provided by smart pianos, and explores the application of technology to pianos in normal normal schools. The path of teaching reflects the value and use value of intelligent piano in piano teaching in normal schools and explores the value of intelligent piano teaching.
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Pike, Pamela D. "Improving music teaching and learning through online service: A case study of a synchronous online teaching internship." International Journal of Music Education 35, no. 1 (June 23, 2016): 107–17. http://dx.doi.org/10.1177/0255761415613534.
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This case study explored the potential for using a synchronous online piano teaching internship as a service-learning project for graduate pedagogy interns. In partnership with the university, a local music retailer, and a local middle school, three pedagogy interns taught beginning piano to underprivileged teenaged students for 8 weeks. All instruction took place in the synchronous online environment using acoustic Disklavier pianos, Internet MIDI, Facetime, and traditional method books. As a result of the experience, the students demonstrated musical understanding and the pedagogy interns developed teaching techniques, displayed improved comprehension of course content, learned about current distance teaching technology, and considered the role of music education in society. Based on these results, it might be feasible to provide piano lessons to underserved populations in remote locations while offering meaningful internship experiences to pedagogy students through distance service-learning projects.
3
Zhang, Nan. "Piano Teaching Improvement Based on Machine Learning and Artificial Intelligence." Security and Communication Networks 2022 (August 24, 2022): 1–11. http://dx.doi.org/10.1155/2022/9672068.
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With the development of modern piano and the increasing demand of people for music hobbies, the traditional piano teaching mode had exposed more and more problems. Artificial intelligence accelerated the development of music education to a certain extent and effectively improved the teaching effect of teachers to piano lovers. If artificial intelligence and machine learning were organically integrated, the application of intelligent piano can be more wide. Therefore, this paper proposed a piano teaching model based on machine learning and artificial intelligence, which aimed to provide support for improving the quality of piano teaching. Firstly, based on the analysis of machine learning-related theories, this paper expounded the characteristics of neural network in data processing and gave the process of the integration of machine learning and artificial intelligence and its application advantages in music teaching. Secondly, according to the interactive needs between intelligent piano and learners, this paper put forward intelligent piano teaching assistance methods and constructed an intelligent piano teaching service management system by improving the teaching information resource base. Finally, it analyzed the influence of artificial intelligence on piano teaching from different angles. In order to test the effectiveness of the piano teaching mode proposed in this paper, the piano learners under different teaching modes were investigated and counted. From the piano teaching effect and the evaluation results of the piano practitioners on the teaching mode, it was known that compared with the traditional piano teaching mode, the piano teaching mode proposed in this paper had achieved remarkable results in both theoretical teaching and practical operation. It can significantly improve the quality of piano teaching and promote the enthusiasm of learners.
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Wei, Cui. "A Study of Piano Timbre Teaching in the Context of Artificial Intelligence Interaction." Computational Intelligence and Neuroscience 2021 (November 27, 2021): 1–11. http://dx.doi.org/10.1155/2021/4920250.
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This paper provides an in-depth analysis and research on piano timbre teaching in the context of artificial intelligence interaction, a bold vision of piano teaching, proposes a feasible solution in terms of teaching modules in intelligent piano teaching for senior teachers, and proposes an implementation path for the integration of intelligent piano and piano teaching from the four main blocks of piano teaching. Based on the multiplicative harmonic model of monophonic signal, combined with the variability of timbre characteristics, an audio synthesis model with editable timbre is proposed, and the experimental results show that editing the timbre parameters in the model can realize timbre modification, and the synthesized timbre conforms to the piano timbre characteristics. Based on the timbre analysis and the timbre synthesis model, a piano timbre library generation system is designed. The detailed design of the software modules such as audio file reading and writing, audio information analysis, timbre parameter acquisition, timbre synthesis, and simulated performance is given. The system can generate piano timbre libraries of different qualities flexibly and meet the requirements of timbre realism. The teaching experiment designed for teaching practice from solo teaching, and the practice target is first-year undergraduate students in the university, and the practice period is six weeks, and finally, the feasibility of intelligent piano teaching application is analysed by combining the experimental results. Through the teaching objectives, teaching content, and teaching methods, teaching environment reflects intelligent piano teaching to make up for the limitations of traditional piano teaching. Analyse the development trend of intelligent piano teaching in the context of artificial intelligence interaction, and explore the value of intelligent piano teaching.
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Xu, Yixiang. "Intelligent Piano Teaching Based on Internet of Things Technology and Multimedia Technology." Scientific Programming 2022 (October 10, 2022): 1–9. http://dx.doi.org/10.1155/2022/8774340.
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Intelligent piano teaching is based on traditional piano teaching, combined with relevant intelligent technology, to improve students’ teaching methods, or to change the traditional piano structure, so that students can change from learning piano to playing piano. This study aimed to select a more suitable specific algorithm by studying the Internet of things (LOT) technology and multimedia technology and conduct in-depth research on the piano intelligent teaching, so that it can better serve the current piano teaching intelligence. Based on the experiment of this study, it can be seen that among the 600 investigators in place O, there are 587 valid questionnaires, of which 265 are willing to accept both traditional teaching and intelligent piano teaching, accounting for 45.1% of the valid questionnaires; 136 people are more willing to accept intelligent piano teaching, accounting for 23.2% of the valid questionnaires; 186 people are more willing to accept traditional piano teaching, accounting for 31.7% of the valid questionnaires. The experimental results of this study show that the research process of intelligent piano teaching based on LOT and multimedia technology is more effective than other methods of analyzing experimental data, and it is of great reference significance for the development of intelligent piano teaching.
6
Li, Huizi. "Research on the development of piano performance teaching in China." BCP Social Sciences & Humanities 19 (August 30, 2022): 413–23. http://dx.doi.org/10.54691/bcpssh.v19i.1723.
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The establishment of Shanghai National Conservatory of music in 1927 marked the establishment of piano performance in China. With the development of the motherland, Chinese piano art has grown up all the way, showing unique musical cultural phenomena and Piano cultural highlights closely related to the social environment in different historical stages. The author believes that the development of Chinese piano art is mainly reflected in three aspects: teaching, creation and performance. The pioneers of China's early piano education not only trained the first batch of piano players for the Chinese music world, but also continued their teaching ideas, teaching styles and teaching methods on their students from generation to generation, which has had a positive and far-reaching impact on today's Piano Teaching in China. By sorting out and analyzing the historical development stages of Chinese piano performance teaching theory, the author can observe the current situation of Chinese piano performance teaching with a more critical perspective, thus enlightening us to explore and think about Chinese piano performance teaching in the new era, so as to promote the deeper and broader development of the research on piano performance teaching theory, And try to change the problem that piano performance teaching only stays at the level of language description and experience summary to a certain extent, and seek a development path for the improvement of piano teachers' scientific research ability.
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Li, Lina. "Design and Application of the Piano Teaching System Integrating Videos and Images." Scientific Programming 2022 (June 27, 2022): 1–9. http://dx.doi.org/10.1155/2022/8651415.
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The art of piano playing has been continuously entering into people’s life. However, with the continuous improvement of science and technology and living standards, the traditional teaching mode can no longer meet the piano teaching mode. The teaching of piano is different from traditional subjects, such as Chinese and mathematics. It requires students to experience the artistic characteristics and the live atmosphere of the players brought by the piano. This study integrates video and image teaching methods with piano teaching. Videos and images can more intuitively show the live atmosphere brought by piano players and musical artistic features brought by the piano. At the same time, this study uses the convolutional neural network (CNN) method to study the relevant features of videos and images of piano teaching. These features are mainly the characteristics of piano music, the behavior of players, and the basic knowledge of a piano. The research results show that the clustering method can effectively classify the features of videos and images in piano teaching, and the maximum classification error is only 1.89%. The CNN method also has high performance in predicting the relevant features of piano teaching videos and images. Accuracy. The largest prediction error is only 2.23%, and the linear correlation coefficient also exceeds 0.95. This set of the piano teaching mode that combines videos and images is beneficial to both teachers and students.
8
Yu, Linna, and Zhifan Luo. "The Use of Artificial Intelligence Combined with Wireless Network in Piano Music Teaching." Wireless Communications and Mobile Computing 2022 (April 4, 2022): 1–18. http://dx.doi.org/10.1155/2022/7989620.
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Artificial intelligence (AI) development gives a new development direction to the traditional education model. The education reform in the intelligent environment is urgent. Under this background, the theory, methods, and characteristics of intelligent music education are expounded based on traditional piano music education. AI and Internet-based smart piano education is introduced. The characteristics of smart piano and its methods of assisting music teaching are analyzed. Moreover, literature review and questionnaire are adopted based on intelligent music education and smart piano theory. With two universities A and B in Nanjing as the research object, the questionnaire is designed to investigate and analyze the related problems of smart piano-assisted piano basic teaching in detail. The results show that smart piano positively improves skill training and psychological training in piano teaching. Piano major learners believe that smart piano can obviously help beginners and people with low piano levels. However, smart piano is not as good as traditional piano for high-level learners. In actual teaching, teachers should use different strategies for different levels of learners. Regarding curriculum quality, teachers have not fully played the role of the smart piano, and the curriculum of smart piano-assisted basic piano teaching still needs improvement. Finally, corresponding countermeasures and suggestions for the development direction of smart piano in piano music education are put forward according to the current situation of the smart piano. The results can reflect the current situation of smart piano-assisted basic piano teaching, provide a reference for researchers in related industries, and promote the related development of smart piano.
9
Luo, Wanshu, and Bin Ning. "Toward Piano Teaching Evaluation Based on Neural Network." Scientific Programming 2022 (January 12, 2022): 1–9. http://dx.doi.org/10.1155/2022/6328768.
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With the rise of piano teaching in recent years, many people participated in the team of learning steel playing. However, expensive piano teaching fees and its unique one-to-one teaching model have caused piano education resources to be very short, so learning piano performance has become a very extravagant event. The factors affecting music performance are varying, and there are many types of their evaluation such as rhythm, expressiveness, music, and style grasp. The computer is used to simulate this evaluation process to essentially identify the mathematical relationship between factors affecting music performance and evaluation indicators. The use of computer multimedia software for piano teaching has become a feasible way to alleviate the contradiction. This paper discusses the implementation method of piano teaching software, the issues of computer piano teaching, the computer teaching as one-way knowledge, and the lack of interaction. The neural network (NN) model is used to evaluate the piano performance and simulate teachers to guide students through their exercise. The performance of the proposed system is tested for the piano music of “Ode to Joy,” which is different from the collection of NN training samples, and is delivered ten times by another piano teacher, student A (piano level 6), and student B (piano level 5).
10
Zhu, Qiong. "Reconstruction of College Piano Teaching Model from the Perspective of "Internet+"." Region - Educational Research and Reviews 3, no. 2 (May 28, 2021): 40. http://dx.doi.org/10.32629/rerr.v3i2.334.
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As an important course for music majors in colleges and universities, piano lessons need to enable students to master the theoretical knowledge of piano and form certain playing skills.Relying on the Internet+, reconstructing the piano teaching mode will help improve teaching efficiency and quality.This article first discusses the connotation characteristics and teaching functions of internet+, and then examines the current deficiencies in piano teaching from the perspective of internet+. Finally, it proposes strategies for restructuring the piano teaching model, hoping to provide reference for college piano teachers.
11
Niu, Yitian. "Penetration of Multimedia Technology in Piano Teaching and Performance Based on Complex Network." Mathematical Problems in Engineering 2021 (November 1, 2021): 1–12. http://dx.doi.org/10.1155/2021/8872227.
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Multimedia network teaching, as a modern teaching mode, provides an opportunity for the establishment of new educational methods and creates conditions for the all-round expansion of educational functions. This article mainly studies the penetration analysis of complex network and multimedia technology to piano teaching and performance. This article introduces complex network and multimedia technology into piano teaching cases to classify, analyze, research and evaluate, remove the rough and save the essence, and screen out some typical teaching cases that meet modern learning theories, teaching requirements, and the characteristics of piano discipline. On this basis, carry forward the advantages, correct the disadvantages, and develop and design some network teaching cases for piano teachers to apply and research. Adopt a new teaching model to improve the original single-class teaching model that focuses on teacher lectures. The new teaching mode is supported by multimedia and network technology, especially multimedia technology, which makes piano teaching move towards personalized learning, and use the method of questionnaire survey to conduct questionnaire surveys on students and teachers to investigate the impact of multimedia piano teaching. Experimental data show that, in terms of multimedia attitudes, 29.50% of teachers believe that multimedia technology is very important in piano teaching and performance, 66.10% of teachers believe that multimedia technology is important in piano teaching and performance, and 4.40% of teachers believe that multimedia technology is in piano teaching and more important in performance. The experimental results show that multimedia and network technology have a good auxiliary effect on piano teaching and performance.
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Zhang, Wanrong. "Research on the Use of Open Teaching Mode Based on IoT Applications in College Piano Courses." Wireless Communications and Mobile Computing 2022 (August 17, 2022): 1–8. http://dx.doi.org/10.1155/2022/4777181.
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The existing piano curriculum education system in colleges has been very backward. With the rapid economic development, it is also necessary to add new teaching technical means to meet the teaching needs of the new era and study the application of open teaching mode in the piano curriculum in colleges. This paper examines the current state of piano instruction in colleges and puts forward some problems, such as the serious lag of teaching mode, the backwardness of curriculum design education, and the failure of evaluation mechanism to keep pace with the times. The design is based on the open teaching mode, designs the piano course in colleges, establishes the open teaching mode, designs the open and inclusive teaching content, improves the piano teaching evaluation mechanism, and obtains a new teaching method of piano course in colleges. In the case analysis, the test results of this teaching mode and traditional teaching mode are compared. The results of the pretest and posttest show that the open teaching mode can greatly improve the teaching performance of piano courses and can be applied to practical teaching.
13
Huang, Ya. "Practice and Reflection on Piano Teaching Reform of Music Major in Colleges and Universities under Diversified Environment." Journal of Environmental and Public Health 2022 (July 30, 2022): 1–8. http://dx.doi.org/10.1155/2022/9688655.
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In order to further promote the innovative development of piano teaching of music major in colleges and universities under a diversified environment, we explore a modern piano teaching reform with distinctive innovative characteristics and strengthen the work needs of colleges and universities for the cultivation of comprehensive, practical, and high-quality piano talents. This study deeply understands the current piano learning, curriculum teaching, and innovative practice of music majors in colleges and universities in the form of questionnaire and interview. On this basis, based on the summary of piano teaching methods, this paper puts forward a piano teaching curriculum system based on innovative development, hoping to provide reference and suggestions for the innovation, reform, and development of piano teaching of music majors in colleges and universities.
14
Fan, Yangjie. "Internet of Things Remote Piano Information Teaching System and Its Control Method." Journal of Sensors 2022 (August 8, 2022): 1–6. http://dx.doi.org/10.1155/2022/4730550.
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In order to change the current piano teaching mode and develop towards digitalization, this paper puts forward the Internet of Things remote piano information teaching system. The digital electric piano teaching system is controlled by multimedia computer. It is a kind of music teaching form composed of electric piano and other electronic keyboard instruments, music auxiliary teaching system, and music production software. It integrates viewing, listening, and practicing and changes the traditional one-to-one teaching mode. Its core structure adopts professional audio processing chip and processor to realize controllable digital audio communication channel, which solves the interference problem well, and realizes classroom simulation functions such as centralized teaching, personal guidance, personal demonstration, group demonstration, and group practice. The application results show that the average learning time of the students who pass the intelligent digital electric piano teaching system is reduced by 14%; After two months of study, 46 students still like the piano through the intelligent digital electric piano teaching system, with a retention rate of 92%, which is significantly higher than the 38 students who study the traditional piano, with a retention rate of 76%. Conclusion. The system makes teaching easier and more efficient.
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Chen, Bo. "Design of Piano Intelligent Teaching System Based on Neural Network Algorithm." Mobile Information Systems 2022 (August 17, 2022): 1–10. http://dx.doi.org/10.1155/2022/5991124.
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In recent years, with the improvement of economic level, music art has become a major focus of extracurricular teaching. Students of all ages are included. However, the high cost of piano teaching and the unique one-to-one teaching method of teachers and students lead to the lack of piano education resources. Learning piano has become a luxury activity. Therefore, using computer multimedia software to teach piano has become a feasible way to alleviate the current contradiction. For piano teaching, the main difficulties are the differences between teachers and students (i.e., the data change at both ends due to the network), the instability of the network system, and the neural network algorithm can solve these difficulties. Based on this point, this work aims to introduce neural network algorithm into piano teaching intelligent system. This paper first introduces the theoretical basis of the neural network algorithm, then expounds the algorithm flow and general framework of the algorithm in speech recognition, and explains the split explanation in combination with five aspects: preprocessing, character extraction, acoustic model, linguistic model, and decoding. Then, it introduces the system design of intelligent piano teaching and describes the general system requirements and product architecture. Finally, the intelligent piano teaching system is tested and applied to prove the effectiveness of the system. I hope this intelligent piano teaching system can provide more convenience for piano teaching.
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Li, Su, and C. Ya Tian. "A Knowledge-Based System for Questionnaires Evaluation of Digital Piano Collective Course for Preschool Education Major in Normal Universities." International Journal of Pattern Recognition and Artificial Intelligence 34, no. 09 (January 14, 2020): 2059032. http://dx.doi.org/10.1142/s0218001420590326.
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In order to improve the teaching level of digital piano collective course for preschool education major in normal universities and provide high-quality music education for children, a knowledge-based system for questionnaires evaluation of digital piano collective course for preschool education major in normal universities is proposed. The system can collect sufficient data and information, the exact orientation of piano learning, the exact choice of teaching mode by questionnaires. A comprehensive analysis of the students’ characteristics, teachers’ post skills and the orientation of digital piano syllabus in the preschool collective course teaching of digital piano in normal universities is made. Moreover, some countermeasures for perfecting digital piano teaching mode are proposed. As a result, it promotes the level of piano teaching in preschool education major, realizes the goal of arousing students’ enthusiasm for study and reduces teachers’ pressure.
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Zhu, Jia. "University Digital Piano the Innovation of Teaching Methods and Practice." Key Engineering Materials 474-476 (April 2011): 1899–902. http://dx.doi.org/10.4028/www.scientific.net/kem.474-476.1899.
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In allusion to insufficiency in teaching method of tradition “one-to-one” piano class, we lead to innovative means of "one-to-many" teaching method in digital piano lesson to resolve the issues, we analysis and research the issues in the development of digital piano collective classes, to look for a better and new piano teaching in universities.
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Wang, XieHong. "Piano Information Teaching Mode Based on Deep Learning Algorithm." Wireless Communications and Mobile Computing 2022 (May 23, 2022): 1–10. http://dx.doi.org/10.1155/2022/6205763.
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In order to improve the effect of piano information teaching, a piano information teaching mode based on deep learning algorithm is proposed. The teaching objectives are divided into three levels: classroom teaching objectives, curriculum objectives, and education and training objectives. A piano information classroom integrating cloud application platform, teaching platform, resource platform, learning space, and interactive classroom is built. The previous teaching mode is optimized to build an innovative teaching mode of piano information classroom. The evaluation index system of piano informatization classroom teaching quality is constructed, and the hierarchical structure model of each evaluation index is established by using the analytic hierarchy process. The hierarchical analysis method is used to establish a hierarchical structure model of each evaluation index. The judgment matrix is determined by the nine-digit scale method. After the consistency verification of the judgment matrix, the weight of the quality evaluation of piano information classroom teaching is calculated. The new mode optimizes the weight and threshold of BP neural network in deep learning algorithm by genetic algorithm (GA). The weight of each classroom teaching quality evaluation index is input into the GA-BP neural network, and the network output result is the piano information classroom teaching quality evaluation score. The test results show that the optimal number of hidden layer nodes for the BP neural network is 7, when the GA-BP neural network iterations are 95. This method can evaluate the quality of piano information classroom teaching, with high evaluation accuracy and strong practical application.
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Guo, Rui, Jingna Ding, and Weihua Zang. "Music Online Education Reform and Wireless Network Optimization Using Artificial Intelligence Piano Teaching." Wireless Communications and Mobile Computing 2021 (November 26, 2021): 1–9. http://dx.doi.org/10.1155/2021/6456734.
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The purpose is to realize the intelligent reform of piano online teaching and the intelligent optimization of wireless networks. Empirical research is realized with quantitative research and algorithm simulation as the starting point. First, regression fitting algorithm and Relief F weight algorithm are adopted to extract the effectiveness of each characteristic variable. Next, under the guidance of metric learning theory, K-Nearest Neighbors (KNN) in Projected Feature Space (P-KNN) algorithm is proposed to complete the hierarchical recognition of piano teaching influence features. Metric Learning With Support Vector Machine (ML-SVM) classification algorithm is employed to identify the feature performance affecting piano teaching. Finally, the performance of P-KNN algorithm and ML-SVM algorithm is compared with KNN algorithm and Information-Theoretic-Metric-Learning (ITML) algorithm. It is concluded that the recognition accuracies of P-KNN and ML-SVM are 82.78% and 83.97%, respectively. Based on the quantitative research on the characteristics affecting piano teaching, artificial intelligence and wireless network optimization are combined to explore the implementation path of intelligent technology in piano teaching reform, reflect the use value of modern science and technology in piano teaching, and innovate the process of music online education reform of piano teaching.
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Li, Lin. "Teaching Mode of Basic Piano Course in Colleges Based on Students’ Application Ability under FC Environment." Journal of Environmental and Public Health 2022 (September 14, 2022): 1–10. http://dx.doi.org/10.1155/2022/4710520.
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With the popularization of piano education, various schools are constantly carrying out reforms in order to cultivate piano application-oriented talents. While accelerating the creation of a perfect piano teaching model, they are also striving to adapt to the trend of the times. The basic education of piano in colleges and universities is a training activity for musicians, and this education method directly affects the professional quality of music of students. How to learn basic piano is very worthy of attention. Basic piano education is a thorough training of piano in conventional colleges, which can improve practical strength and the capacity to apply music broadly. The main purpose of teaching the fundamentals of piano is to develop students’ visual acuity and help them comprehend and apply the principles of aesthetics. The teaching approach for beginning piano classes at various schools is still in its infancy and is deficient in every way. This essay examines the “flipped classroom (FC)” teaching approach used to offer beginner piano lessons in a number of schools. This study proposes the specific process of the “FC” teaching mode and explores the implementation impact of particular scenarios, specifically in light of the features of the training mode of applied abilities. Through inquiry and research, it has been determined that students who get FC instruction have greater employment rates than those who receive traditional instruction, with an average rise of 14.2 percent and a maximum increase of 17 percent. Based on the students’ application skills, it demonstrates that the FC teaching technique is generally successful for the teaching method of basic piano courses in colleges and universities.
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Dai, Lei. "Analysis of Two-Piano Teaching Assistant Training Based on Neural Network Model Sound Sequence Recognition." Computational Intelligence and Neuroscience 2022 (June 2, 2022): 1–13. http://dx.doi.org/10.1155/2022/5768291.
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In today’s society, with the gradual improve5ment of material living standards, people are also more in pursuit of their own spiritual enjoyment. The study of piano has gradually become a way for people to enrich their spiritual life, and more and more people attach importance to it. In the field of piano teaching, the two-piano method is a unique form of playing the piano. In order to solve the problem that the recognition accuracy of the sequence of two pianos is seriously reduced in the environment of noise and reverberation, this paper proposes an auxiliary training analysis system based on the neural network model. Firstly, in order to learn the nonlinear relationship between the sound order and the target task label from the massive data, a multitask preprocessing method combining speech enhancement and detection is used to supervise the deep neural network training. Then, convolutional neural network is used to construct the end-to-end recognition system, and the initial recognition results are checked and corrected by the phonological sequence model. Finally, the sequence recognition is carried out under the condition of noise, and the articulation is improved by speech enhancement front-end module, and then the sequence recognition model is used for recognition. Compared with traditional training methods, it is proved that our method is effective in improving the training efficiency and performance quality of players. At the same time, this method breaks through the limitation of traditional training method of double piano, creates a more scientific training means, and realizes the practice and application of artificial intelligence technology in the teaching of double piano.
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Xie, Yanni. "Research on Piano Singing Teaching in Preschool Education." Advances in Higher Education 3, no. 2 (October 10, 2019): 155. http://dx.doi.org/10.18686/ahe.v3i2.1436.
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<p>Piano singing course as a combination of theoretical knowledge, professional skills and practical application of the subject, in the current university preschool education and teaching occupies a very important position. The main purpose of this course is to train professional preschool education preschool teachers, is a high-standard course. This paper tries to analyze the actual situation of piano singing courses from the perspective of training students' piano singing skills, and then explores effective measures to promote the development of piano singing courses.</p>
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Liguang, Zhou. "A NEW APPROACH IN PIANO TEACHING: WE TEACHERS CAN COMPOSE REPERTOIRE IN MINIMALISM FOR STUDENTS." Academic Notes Series Pedagogical Science 1, no. 195 (2021): 46–48. http://dx.doi.org/10.36550/2415-7988-2021-1-195-46-48.
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Patterns and repetitions are the essence of studies and exercises for piano. In music history, among composers, Carl Czerny (1791–1857) composed a great number of easy pieces for piano pedagogy that widely employed patterns and repetitions. Nowadays, minimalistic music is a new style but overlaps with the traditional repertoire of piano pedagogy on this emphasis. To employ minimalistic music in piano teaching is a new approach. Further, piano teachers can even compose pedagogical repertoire in minimalism for students. Here, I introduced my own experiences of composing such music for my students. The result was proved satisfactory in teaching. Many piano teachers composed music for their students, which was a convention in piano teaching in music history. They contributed huge amount of repertoire to piano. In the meanwhile, they were dedicated to teaching as well. Nowadays, this practice is still shining in A New Approach in Piano Teaching 6 piano pedagogy. There is a great number of piano teachers who compose music for piano pedagogy. They naturally make the music collections and published them. Undoubtedly, music composition is a specific major study in music schools and conservatories. However, the twenty-first century is an era of free style, like you can mix drinks of different flavors from a beverage machine. Further, minimalism naturally brings a solution for achieving your own piano pedagogical pieces. You can have a try! It is so fun and joyful, when you teach your students your own pieces and then enjoy progresses your students make. Ultimately, this practice will bring you such happiness when they can even memorize and perform your music. Of course, it will be fantastic if you publish your music for piano pedagogy.
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Deja, Jordan Aiko, Sven Mayer, Klen Čopič Pucihar, and Matjaž Kljun. "A survey of augmented piano prototypes: has augmentation improved learning experiences?" Proceedings of the ACM on Human-Computer Interaction 6, ISS (November 14, 2022): 226–53. http://dx.doi.org/10.1145/3567719.
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Humans have been developing and playing musical instruments for millennia. With technological advancements, instruments were becoming ever more sophisticated. In recent decades computer-supported innovations have also been introduced in hardware design, usability, and aesthetics. One of the most commonly digitally augmented instruments is the piano. Besides electronic keyboards, several prototypes augmenting pianos with different projections providing various levels of interactivity on and around the keyboard have been implemented in order to support piano players. However, it is still unclear whether these solutions support the learning process. In this paper, we present a systematic review of augmented piano prototypes focusing on instrument learning based on the four themes derived from interviews with piano experts to understand better the problems of teaching the piano. These themes are (i) synchronised movement and body posture, (ii) sight-reading, (iii) ensuring motivation, and (iv) encouraging improvisation. We found that prototypes are saturated on the synchronisation themes, and there are opportunities for sight-reading, motivation, and improvisation themes. We conclude by presenting recommendations on augmenting piano systems towards enriching the piano learning experience as well as on possible directions to expand knowledge in the area.
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Li, Ying. "Application of Composite Nanomaterials in the Teaching of Piano Touch Technology and Timbre Expressiveness." Advances in Materials Science and Engineering 2022 (August 24, 2022): 1–9. http://dx.doi.org/10.1155/2022/9966275.
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The piano is a western musical instrument. The art of piano performance has made great progress in China. Education is essential for the inheritance and development of the arts, including the piano. Piano lessons play an important role in music education and are the foundation of music education. Teachers play a leading role in the learning process. The comprehensive quality of teachers, including ideological and moral accomplishment, cultural accomplishment, work level, teaching theory, and artistic aesthetic level, directly or indirectly affects the teaching level and the growth, learning, attitude, and concept of students. Through the research and experiment on the application of composite nanomaterials in the teaching of piano touch and timbre expressiveness, the experimental data showed that after the improvement of piano touch and timbre performance by nanomaterials, the students’ interest in the piano improvisational accompaniment course has greatly increased. There were 86 people who were interested, accounting for 86.13%. There were 13 people who were not interested and indifferent, accounting for 13.87%. Compared with the increase of 36 people who were interested before the improvement, the number of people, who were not interested and indifferent, was decreased by 36 people. From the abovementioned data, it can be seen that the application of nanomaterials in piano teaching, it has made an indispensable contribution to the development of piano teaching.
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Liu, Qing. "Problems Needing Attention in Piano Playing Teaching." Lifelong Education 9, no. 5 (August 2, 2020): 93. http://dx.doi.org/10.18282/le.v9i5.1215.
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The piano originated in Italy in the 18th century. As an important instrument in Western classical music, it has always been known as the king of musical instruments. This article starts with the obstacles faced by piano playing classrooms in colleges and universities, looking for specific ways to solve the problems encountered in teaching activities, hoping to effectively improve students' learning initiative and playing skills, while promoting the vigorous development of piano education in my country.
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Ilić, Petar. "Review of the first instructive publications in the Serbian language intended for initial piano teaching." Zbornik radova Uciteljskog fakulteta Prizren-Leposavic, no. 14 (2020): 401–11. http://dx.doi.org/10.5937/zrufpl2014401i.
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This paper discusses the didactic-methodological content of the first instructional publications in the Serbian language, which were intended for the initial teaching of piano. The publications in question are: a collection of piano compositions by Robert Tolinger Pictures and Opportunities from Children's Life and Youth Joy (1886), a manual by Isidor Bajić Piano and Piano Learning (1903) and a textbook by Danica Krstić Piano School (1911). The mentioned publications are not on the list of the current Curriculum for initial piano lessons. They are not even mentioned as proposed literature for the subject Methodology of piano teaching, which is attended by students of basic academic studies in the field - piano. The aim of this paper is to emphasize the value of the mentioned teaching literature which belongs to the historical and pedagogical heritage of the Serbian people. In addition, the intention is to determine the specific didactic-methodological elements in these publications, which could be applicable in modern music and educational trends.
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Wang, Dongkui, and Zuolian Bai. "Piano Intelligent Teaching Evaluation with IoT and Multimedia Technology." Mobile Information Systems 2022 (July 4, 2022): 1–10. http://dx.doi.org/10.1155/2022/7636458.
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With deepening of the economic development process, the overall spiritual and cultural needs of the people have increased, and quality education has received more and more attention. Piano education is an important part of quality education. Nowadays, piano education has also been able to move forward continuously. As the king of musical instruments, the piano is widely used in music learning. Learning the piano can exercise willpower, develop intelligence, and cultivate sentiment. With development of computer software as well as hardware, Internet of Things technology and multimedia technology provide the material basis and preconditions for intelligent piano teaching. Therefore, how to evaluate the impact of the IoT and multimedia technology on intelligent teaching of piano has become a very important topic. Based on this, this work combines BP network with artificial fish swarm algorithm (AFS) and proposes network model (IAFS-BP) for evaluating the quality of piano intelligent teaching in the context of Internet of Things and multimedia. The specific contents of this work are as follows: (1) Aiming at the shortcomings of AFS, an IAFS with mutation operator, dynamic vision, and step size is proposed. (2) In view of shortcomings for BP network, IAFS is used in BP network. By using the IAFS algorithm in the training of the weights as well as thresholds, the training speed and training accuracy of the network are improved. (3) This work has carried out a comprehensive and systematic experiment to verify effectiveness and feasibility of IAFS-BP applied to quality assessment of piano intelligent teaching in the context of the IoT and multimedia.
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Lei, Shijun, and Huiming Liu. "Deep Learning Dual Neural Networks in the Construction of Learning Models for Online Courses in Piano Education." Computational Intelligence and Neuroscience 2022 (July 13, 2022): 1–8. http://dx.doi.org/10.1155/2022/4408288.
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The use of deep learning (DL) and artificial intelligence (AI) in teaching children piano lessons promotes modern piano instruction and enhances the overall quality of education. To begin, a more thorough explanation of the teaching environment and the intelligent piano’s features is provided. Then, a method for detecting the onset of a piano note using a Dual Neural Network (DNN) is proposed. By transforming the original time-domain waveform of the piano music signal into a frequency distribution that changes with time, the network can analyze the input signal’s time-frequency. Finally, the intelligent piano teaching method combines deep learning with artificial intelligence (AI) to produce the best possible results for students learning the piano instrument. For children and their parents alike, it is a favorite, and it significantly impacts their interests. The proposed model has a 94% overall accuracy rate.
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Lu, Yuan. "The Innovative Trend of Piano Teaching in Music Education in Multicultural Education under Ecological Environment." Journal of Environmental and Public Health 2022 (August 27, 2022): 1–9. http://dx.doi.org/10.1155/2022/7044904.
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Primarily based on theoretical studies of multicultural pedagogy, anthropology of music, and postmodern music education concepts, techniques combining qualitative and quantitative research are used. Eight types of design guidelines are then proposed according to different intelligence characteristics, according to intelligence characteristics and context of conversational design. Finally, based on the perspective of multicultural learning environments, this work will explore and provide insights into new concepts of piano teaching in multicultural learning environments in three areas: new piano teaching, new instruction, and new piano learning materials. The experimental results show that piano teaching activities based on multiple intelligences theory can stimulate students’ interest in learning music, fully mobilize students’ initiative in learning music, and improve the quality of music teaching.
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Zheng, YunDan, Tian Tian, and Ai Zhang. "Training Strategy of Music Expression in Piano Teaching and Performance by Intelligent Multimedia Technology." International Transactions on Electrical Energy Systems 2022 (August 29, 2022): 1–14. http://dx.doi.org/10.1155/2022/7266492.
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Teaching using a multimedia technology in the 21 s t century affords the possibility of developing novel instructional strategies and paves the way for the all-around extension of musical educational functions. The importance of multimedia teaching technology in piano instruction has started to emerge in our country and society due to the ongoing development of this kind of technology in music educational institutions here. The conventional method of teaching piano has several drawbacks that may be mitigated by using one of the several alternative methods of instruction for the instrument, especially in light of the ongoing advancements in science and technology. A pianist’s methods of expression are the tools they use to convey their thoughts and emotions about a piece of music to the audience. Teachers may demonstrate their musical skills to students and they must immediately focus on a musical expression which is vital for performers. In this paper, the Multimedia-based Piano Teaching Model (MPTM) has been proposed to improve the piano teaching quality. Traditional piano instruction is improved and developed using multimedia technology in this article. The Internet education model is used for teacher assessment, and the systematic way representing piano teaching combines different music educational materials. It begins building a sufficiently broad music network infrastructure resource sharing framework and benefits society’s amateur music literacy. The use of machine learning in students’ concrete piano instruction has the potential to thoroughly promote contemporary piano instruction and enhance the overall quality of instruction. To begin, an explanation of the intelligent piano’s features and capabilities is provided. The neural network is used to suggest a technique for detecting a piano note on a set. The network can assess the input piano music signal’s time frequency by translating the original time-domain waveform into the time-varying frequency distribution. Intelligent piano instruction analysis can effectively achieve the overall optimization of piano performance. The test results show that MPTM has a significant role in boosting the desire to learn to play the instrument. The experimental results show that the proposed MPTM achieves a learning skills ratio of 97.6%, a learning activity ratio of 98.5%, a student performance ratio of 93.8%, a teaching evaluation ratio of 90.3%, and a learning behavior ratio of 94.2% when compared to other methods.
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Hou, Yihao. "Research on Piano Informatization Teaching Strategy Based on Deep Learning." Mathematical Problems in Engineering 2022 (March 23, 2022): 1–8. http://dx.doi.org/10.1155/2022/5817752.
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Applying information technology to piano teaching can effectively avoid these problems. The application of information teaching means can not only enrich teaching methods but also enhance students’ interest in learning. Deep learning (DL) focuses on immersing students in knowledge and learning situations, emphasizing critical thinking, and realizing the intrinsic value of knowledge. Understanding DL theory is of great significance to deepening the teaching reform in China. BP algorithm is a very effective algorithm for prediction and evaluation. In this paper, the complex factors affecting the quality of piano information teaching are comprehensively considered, and the improved BP neural network (BPNN) algorithm is used to evaluate and predict the quality of piano information teaching. The model structure of BPNN for evaluating and predicting the quality of piano information teaching is given and simulated in MATLAB. The results show that the evaluation and prediction method overcomes the subjective factors of expert evaluation and obtains reasonable results. Compared with the traditional BPNN algorithm, it has good applicability.
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Wei, An Shi. "The Construction of Piano Teaching Innovation Model Based on Full-depth Learning." International Journal of Emerging Technologies in Learning (iJET) 13, no. 03 (March 5, 2018): 32. http://dx.doi.org/10.3991/ijet.v13i03.8369.
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This paper presents a new method of building piano teaching innovation model based on full depth learning. The model includes the following main steps: (1) The normal behavior samples of piano teaching are obtained by the method of spectral clustering based on dynamic time homing (DTW), and the hidden Markov model; (2) to further train the hidden Markov model parameters in a large sample by means of iterative learning; (3) to use the maximum a posteriori (MAP) adaptive method to estimate the Hidden Markov Model (HMM) of the piano teaching behavior in a supervised manner; (4) The behavioral hidden Markov topology model is established for model estimation. The main features of this method are: it can automatically select the kinds and samples of the normal behavior patterns of piano teaching to establish an innovative model of piano teaching; the problem of under-learning of Hidden Markov Model (HMM) can be avoided in the case of fewer samples. The experimental results show that this model is more reliable than other methods.
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Gurler, Demet Aydınlı. "Analysing the musical elements of the Book of Inci for Piano Teaching." Cypriot Journal of Educational Sciences 17, no. 2 (February 28, 2022): 422–39. http://dx.doi.org/10.18844/cjes.v17i2.6829.
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The aim of the study is to contribute to the repertoire of piano teaching by conducting a musical analysis of the piano album ‘Inci'nin Kitabı’. The research is an example of a case study, one of the qualitative research techniques. Each piece in the research has been evaluated individually according to the elements determined in line with the descriptive analysis. Each piece has been examined primarily in terms of musical elements. Later, the musical expressions, tempo terms and rhythmic elements of the pieces are measured and evaluated. The sources examined in the study and the data obtained from the pieces in Inci’s Book have been interpreted with the descriptive analysis method. It has been concluded that Inci’s Book, which has been defined as an enjoyable and didactic book in the piano teaching, is an appropriate and beneficial resource for piano students’ learning at different levels.
Keywords: Ahmed Adnan Saygun; Inci's Book; music education; piano students’ learning; piano teaching.
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Ma, WeiNa. "Comprehensive Evaluation System for Realizing the Ability of University Piano Teaching." Mobile Information Systems 2022 (May 26, 2022): 1–8. http://dx.doi.org/10.1155/2022/6895484.
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Students benefit from teacher’s action during education in a variety of subjects. Identifying the need for a better understanding of the influence of various presentation types at different levels of student proficiency is extremely important. Moreover, these skills are also important to any technique of learning piano in a school environment. The significance of music in the school’s curriculum, new concepts for teaching music in the school, and new ideas for teaching piano were among them. This study focuses on a teaching environment and piano learning in which beginning and advanced piano students study to produce a particular style of staccato in three types of group instruction scenarios. The musical difficulty is only demonstrated through audio and observation of the teacher’s action performance. The comprehensive ability evaluation system for piano teaching can, to a certain extent, evaluate and sort the ability of college piano teaching. Therefore, this paper utilizes the attribute method in combination with instant analysis which provides seven attribute indicators. The approach is reasonable, and evaluating characteristics such as the level of the school’s teaching plan set and related psychological weights may well be revised as necessary to address users’ requirements. After completely integrating the qualities of the school and comprehensively examining various contributing factors, the students’ learning quality in different grades or the same grade of colleges and universities may be determined. A comparison against the existing schemes can effectively represent the school’s overall teaching level.
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Lyashenko, T. "METHODICAL APPROACHES TO TEACHING THE PIANO." Research Notes PP, no. 2 (July 7, 2021): 64–68. http://dx.doi.org/10.31654/2663-4902-2021-pp-2-64-68.
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Dumlavwalla, Diana T. "The piano pedagogy scenes in India and the Philippines: An introductory cross-cultural comparison." International Journal of Music Education 37, no. 3 (April 17, 2019): 390–406. http://dx.doi.org/10.1177/0255761419839169.
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Categorized as developing nations, India and the Philippines are not generally known as centers for piano study. There has been little research investigating the traditions of piano education in these nations. In this study, I examined a number of issues related to piano pedagogy in each country. Data were collected from teachers in India ( n = 45) and the Philippines ( n = 28), who completed a 29-item questionnaire. Additionally, three instructors from India and one instructor from the Philippines were interviewed to gain further insight. A summary and comparison of the availability of piano instruction for pre-college students were outlined and opportunities for teacher support and professional development were explored. I looked at the current professional practices, the types of pedagogical methodologies and materials used in each country, the quality and types of pianos and keyboard instruments available, as well as the practice expectations and environments of students. How each country’s system of piano education adopts Western influence and observes their respective traditions is also presented. It is hoped that this research will lead to more in-depth investigation about these countries’ teaching practices and provide additional perspectives for pedagogues around the world.
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Fu, Teng. "Model of Markov-Based Piano Note Recognition Algorithm and Piano Teaching Model Construction." Journal of Environmental and Public Health 2022 (July 5, 2022): 1–10. http://dx.doi.org/10.1155/2022/6045597.
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Piano note recognition is a process that converts music audio files into digital music files automatically, which is critical for piano assistant training and automatic recording of musical pieces. The Merle spectral coefficients, for example, have been used to implement the majority of the existing examples. The piano is one of the most popular forms of student education in today’s world. Piano teachers should be aware of the implications. We can only truly adapt piano teaching to the educational purposes of higher education institutions if we implement a systematic, progressive, practical, and innovative philosophy of piano teaching. The Markov model is a statistical model that is widely used in speech signal processing. This thesis develops a set of mathematical models for piano speech recognition based on the Markov model, learns them systematically and scientifically, and achieves a better teaching effect. It is demonstrated that the Markov method detects the corresponding endpoints with an accuracy of 72.83 percent, which is 16.42 percent better than the a priori method. In terms of amplitude and phase, the Markov model shows a significant improvement. The findings of this study can be used to improve piano playing techniques taught to students in accordance with their favourite popular music, depending on the theme.
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Arthur, Matthew, Sang-Hie Lee, Brenda Wristen, Gail Berenson, and Kathleen Riley. "Piano Technique." Medical Problems of Performing Artists 28, no. 2 (June 1, 2013): 115–16. http://dx.doi.org/10.21091/mppa.2013.2022.
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I am an amateur pianist enquiring into improving piano technique but feeling slightly disillusioned by the lack of attention given to technique in the field of piano teaching. And whilst, however, there are many books out there written by great pianists that seem to combine logic, empirical knowledge, and scientific knowledge in a very convincing manner, their assertions are void of being subject to strict scientific investigation and therefore, in my opinion, cannot be treated too seriously. [with Replies]
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Sachkova, T. V. "Features of teaching piano in pop-jazz style." Vestnik of Saint Petersburg State University of Culture, no. 3 (44) (September 2020): 135–38. http://dx.doi.org/10.30725/2619-0303-2020-3-135-138.
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Russian music school has undergone major changes over the past 20–30 years. The emergence of mass musical styles and genres and their huge popularity, the opening of pop and jazz faculties and training areas, as well as private music schools and studios – all this aff ects the approaches to teaching piano in modern preprofessional music education. The approaches to the development of performing piano skills described in this article include not only traditional methods of studying the academic piano repertoire, but also methods of development in pop and jazz stylistics, using which one can achieve both improved fluency and the development of new sound skills.
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Huang, Nansong, and Xiangxiang Ding. "Piano Music Teaching under the Background of Artificial Intelligence." Wireless Communications and Mobile Computing 2022 (January 24, 2022): 1–13. http://dx.doi.org/10.1155/2022/5816453.
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The work is aimed at solving the problems of easy trapping into local extremes and slow convergence speed of the traditional music teaching evaluation system on Backpropagation Neural Network (BPNN). The traditional note recognition methods are susceptible to high noise complexity. Firstly, the Levenberg Marquardt (LM) algorithm is used to optimize the BPNN; secondly, an improved endpoint detection algorithm is proposed by short-term energy difference, which can accurately identify the time value of each note in the piano playing audio. By the traditional frequency domain analysis method, a radical frequency extraction algorithm is proposed by the improved standard harmonic method, which can accurately identify the note’s pitch. Finally, a piano performance evaluation model by BPNN is implemented, and the model is implemented by the Musical Instrument Digital Interface (MIDI) system. This evaluation model can be used to correct the errors of students’ performances in the piano music teaching process and to perform overall evaluation, rhythm evaluation, and expressive evaluation. Teachers and students play minuet to collect experimental samples to train BPNN and test the performance of the evaluation model. The practical result shows that (1) after 3000 times of training, the neural network error is less than 0.01, and the network converges; (2) the evaluation results of the piano performance evaluation model designed are basically in line with the actual level of the performer and have specific feasibility; and (3) the optimized BPNN is used to correct errors during performances with an accuracy rate of 94.3%, which is 5.25% higher than the traditional method. The error correction accuracy rate for pitch is 92.9%, which is 5.21% higher than the traditional method. The optimized BPNN has significantly improved the error correction accuracy of the notes and pitches played by the player. The model can effectively help piano beginners correct errors and improve the accuracy and efficiency of the practice. The purpose of this study is to alleviate the scarcity of piano teachers, reduce the work intensity of piano teachers, realize automatic error correction and objective evaluation of playing, and provide necessary technical support for improving the efficiency of piano music teaching.
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Ding, Xiangxiang, and Nansong Huang. "Application of Multimedia Technology in Online Piano Teaching." Mobile Information Systems 2022 (August 2, 2022): 1–12. http://dx.doi.org/10.1155/2022/1985546.
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Multimedia teaching has the characteristics of flexibility, nonlinear structure, and the combination of multiple senses, which can fully mobilize the enthusiasm and initiative of students. Because the traditional piano teaching method is too old-fashioned and single, which is not conducive to stimulating students’ interest in learning, the piano teaching is studied according to the methods of information technology, online education, and mixed teaching. This paper controls the rhythm of teaching through multimedia teaching technology, stimulates students’ thirst for knowledge, and uses multimedia technology to enrich piano teaching resources to meet teaching needs. Then, by means of a questionnaire, the attitude of most of the high-efficiency students towards online piano teaching with multimedia technology is understood. At the same time, the cluster analysis system is used to analyze the online public opinion evaluation of the three teaching methods by collecting the network behavior of users in various distribution platforms on the Internet and analyzing the feature vector according to the function space formed by the relevant evaluation indicators. The accuracy of the system is above 82%, so the teaching evaluation is effective. Through the value evaluation model of the system, user dynamics can be accurately understood and applied to other fields.
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Zhu, Qiong. "The Integration of Chinese National Piano Works in Piano Education." Region - Educational Research and Reviews 2, no. 1 (March 19, 2020): 9. http://dx.doi.org/10.32629/rerr.v2i1.86.
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This paper first describes the significance and principles of integrating Chinese national piano works into piano education, and then expounds the specific measures from the aspects of works appreciation, innovative teaching contents, stimulating students' emotions and making reasonable plans.
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Rao, Tingting. "Analysis on the Ideological and Political Construction of Colleges Piano Teaching in the New Era." Region - Educational Research and Reviews 2, no. 4 (September 23, 2020): 20. http://dx.doi.org/10.32629/rerr.v2i4.183.
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Since General Secretary Xi Jinping put forward important conclusions on ideological and political education, there has been a wave of curriculum ideological and political construction in the teaching of professional disciplines in colleges and universities, which has provided guiding ideas and methods to implement morality building and people cultivating for professional discipline teaching, and has achieved remarkable results. Therefore, this article briefly discusses the connotation of ideological and political courses, and considers the core and methods of ideological and political construction of piano teaching in combination with piano teaching in colleges and universities, hoping to provide some references and inspirations for colleagues in the industry, promote the smooth progress of the ideological and political construction of piano teaching courses in colleges and universities, and achieve ideal results.
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Xia, Yuan. "Excavation and Application of Ideological and Political Education Elements in Piano Collective Class Teaching in Colleges and Universities." International Journal of Education and Humanities 4, no. 3 (September 27, 2022): 119–21. http://dx.doi.org/10.54097/ijeh.v4i3.1787.
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Ideological and political education is one of the critical contents of ideological education for college students. Ideological and political education should be infiltrated in all courses. Including collaborative piano course teaching, teachers need to explore various elements of ideological and political education in piano teaching so that college students can master piano playing skills. At the same time, they can develop good behavior habits and moral character and have a strong sense of responsibility and responsibility, which can provide better skills education and ideological education for students who are about to enter society. Based on this, this paper profoundly analyzes the importance and practical strategies of ideological and political education elements in piano collective class teaching in colleges and universities for reference to colleagues in the education sector.
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Ying, Loo Fung, Gabriel Isaac Evens, Mohd Nasir Hashim, and Loo Fung Chiat. "Tension Release in Piano Playing: Teaching Alexander Technique to Undergraduate Piano Majors." Procedia - Social and Behavioral Sciences 174 (February 2015): 2413–17. http://dx.doi.org/10.1016/j.sbspro.2015.01.910.
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Akgul, Alper. "An analysis on piano education in ınstitutions training music teachers in the context of application, teaching experience and pre-school period." Cypriot Journal of Educational Sciences 17, no. 2 (February 28, 2022): 323–42. http://dx.doi.org/10.18844/cjes.v17i2.6801.
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Music education for the preschool age group and piano teaching in this context is generally of great interest and in demand. In Turkey, music teacher candidates take piano lessons during their undergraduate education, two of which are compulsory and six are elective. In this process, however, a course on how to teach the piano is not included in the curriculum of the music teaching department. Therefore, except specific elective courses delivered in certain universities in the previous academic years, there is not a course that includes information on how to teach the piano, which is in such high demand in general and is an introductory course in many educational institutions, to both preschool period and different age groups, and whose methods are employed during piano education on what to do about the technical teaching of the instrument. The researcher has discussed the importance of the subject by giving examples from the literature in his article and has made various suggestions regarding the issue. Therefore, in terms of its structure, this study is a comprehensive literature review that examines the studies related to music education and makes various suggestions.
Keywords: Pre-school Education, Music Education, Piano Education
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Pi, Jian. "Effect of Ergonomics-Based Piano Teaching on Teachers’ Physical and Mental Health and the Improvement of Sense of Happiness." Journal of Healthcare Engineering 2022 (March 12, 2022): 1–9. http://dx.doi.org/10.1155/2022/9174441.
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Background. As a special occupation of human beings, teachers have an important responsibility for society and students. As preachers, all their actions will affect the students. Teachers can be said to be the indicator of students’ happy life. According to a survey by educational institutions, more than 90% of teachers believe that work pressure is increasing. 64.2% of teachers have experienced job burnout, and the status quo of teachers' professional well-being is worrying. So we must pay attention to teachers’ happiness research. However, based on ergonomics, piano education is a kind of piano education to relieve fatigue and an important way to improve teachers’ happiness. Objective. Using the self-designed questionnaire related to teachers’ professional happiness, we investigated piano teachers in universities to understand the status quo of piano teachers’ professional happiness, reduce the fatigue of piano teaching, explore the relationship between work fatigue and college piano teachers’ professional happiness. Methods. This study combines qualitative and quantitative survey methods to make a qualitative analysis of the collected literature and survey and, at the same time, to make a quantitative survey of the collected data so as to get more scientific and accurate survey results. Results. According to the above analysis, this paper puts forward effective suggestions in order to reduce the fatigue of piano teaching and ultimately greatly improve the enthusiasm and efficiency of piano teaching, improve the professional happiness of piano teachers, and promote the effective progress of education. Conclusions. Through this study, the overall situation of piano teachers’ professional happiness in H University is general and the evaluation of piano teachers’ professional happiness in H University is mostly at the ordinary level. However, more than half of the teachers do not feel happy and excited at work, and some of them are tired and bored.
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Napitupulu, Rachel Yohana Adriana, and Andre Indrawan. "Pembelajaran Online Piano di Concertino Music School Medan: Kajian Kualitatif Pendidikan Non-Formal pada Masa Pandemik." PROMUSIKA 10, no. 1 (April 30, 2022): 13–23. http://dx.doi.org/10.24821/promusika.v10i1.6839.
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Sejak awal munculnya pandemi Covid 19 di Indonesia, produktivitas kegiatan pembelajaran musik khususnya piano di lembaga nonformal menurun drastis. Penelitian ini bertujuan untuk mengkaji strategi mengajar guru piano dalam menjalankan profesinya di lembaga tersebut agar siswa dapat bertahan belajar. Penelitian ini menggunakan metode kualitatif. Populasi sampel penelitian ini adalah praktisi pendidikan dan partisipannya, khususnya guru dan siswa di Concertino Music School. Penelitian ini mengumpulkan data melalui observasi partisipatif terbatas dengan pendekatan partisipan sebagai observer. Namun, dalam pengamatan ini, seorang guru yang dipilih dan siswanya akan mewakili populasi. Prosedur penelitian meliputi penetapan data, observasi data sebagai pengamat, analisis data, dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa pembelajaran piano online bergantung pada ketersediaan dan kesiapan teknologi informasi dan komunikasi baik guru maupun siswa. Selain jaringan yang tidak stabil, kelemahan pendidikan online dalam proses belajar piano terkendala oleh petunjuk teknis akurasi bermain piano, terutama keterbatasan layar. Kesimpulannya, untuk mengatasi target kurikulum yang tidak dapat terpenuhi seluruhnya pada siswa karena keterbatasan fasilitas teknologi, guru mengintensifkan pengarahan dan pemberian motivasi untuk meningkatkan kemandirian siswa dalam belajar. Proses pembelajaran piano online ini akan berkontribusi pada pengembangan metode pengajaran musik online di lembaga non-formal dan meningkatkan studi pendidikan musik jarak jauh.AbstractOnline Piano Learning at Concertino Music School Medan: A Qualitative Study of Non-Formal Education During the Pandemic. Since the initial rise of the Covid 19 pandemic in Indonesia, the productivity of music learning activities, especially pianos, in non-formal institutions has drastically decreased. This research aims to examine the piano teacher teaching strategies in carrying out their profession in the institution so that students can survive learning. This study utilizes qualitative methods. The sample population of this research encompasses educational practitioners and their participants, especially teachers and students at Concertino Music School. This study collects data through limited participatory observation with the participant's approach as an observer. However, in this observation, a selected teacher and her student will represent the population. The research procedure includes establishing data, observing data as an observer, analyzing data, and drawing conclusions. The results showed that online piano learning relies on information and communication technology availability and readiness in teachers and students. In addition to unstable networks, the weakness of online education in the piano learning process is hindered by technical instructions on piano playing accuracy, especially by screen limitations. In conclusion, to overcome curriculum targets that Canada is fulfilled entirely by the student due to the limitations of technology facilities, teachers increase direction with motivation to improve students' self-independence in learning. This online piano learning process will contribute to the development of online music teaching methods in non-formal institutions and improve distance music education studies.Keywords: non-formal education; qualitative studies; online learning; piano
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Zīmele – Šteina, Ineta. "HOLISTIC APPROACH TO DEVELOPING TEXTBOOKS FOR CHILDREN-BEGINNERS IN PIANO PLAYING." Journal of Pedagogy and Psychology "Signum Temporis" 5, no. 1 (June 1, 2012): 37–47. http://dx.doi.org/10.2478/sigtem-2012-0051.
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ABSTRACT The paper presents a summary of a four-year long research on the text books in piano playing for the beginners. On the one hand, today, changes in paradigms are discussed much about (child-centered education), national standards are defined and author programmes have been developed by teachers; on the other hand, teaching aids adequate to the new paradigm and aimed at promoting 5-7 year old children’s education in piano playing do not exist. The Aim of the Study is to formulate holistic approach-based principles that would underlie the development of a contemporary, scientifically valid teaching aid in piano playing for 5-7 year old children. Research subject: holistic approach to the development of a teaching aid in piano playing for 5-7 year old children. Research object: principles of developing a teaching aid. The research results in defining the holistic approach-based principles for developing a teaching aid: gradualness, visuality, musical diversity, compactness, regularity, esthetics, national/ multinational principle, perceptibility, adequacy to the age, self-creation and scientific principle. On the basis of these principles, a text book for 5-7 year old children has been designed by the author and assessed by experts. The research data are analyzed both qualitatively (surveys of teachers and pupils’ parents) and quantitatively (method of experts’ conclusions). A textbook could help to comprehend what is happening at music lessons and easier join the piano training process, and it could also make the piano training process, whose participants are children, teachers and parents, more diverse and creative.