Search

The objective of this study is to find out how improvisational accompaniment classes are taught in Chinese universities for music education majors and to come up with ways to use Chinese composer Chu Wanghua's piano pieces. The Northeast Normal University, Beijing Normal University, and Fujian Normal University will be chosen as research sites for this study because they are three of the most important universities in China. A qualitative questionnaire survey is used. The teachers and students at the three universities who have been teaching improvising accompaniment for at least 25 years are the main sources of information for this research. The result of this study found that there are many problems with improvisational accompaniment in Chinese universities, such as weak piano performance skills, poor reading notation, a lack of polyphonic thinking and inner hearing, and too much emphasis on major and minor songs and too little on folk songs. The textbook is outdated and lacks analyses of folk song accompaniment. The teachers have not trained the students' keyboarding ability from the beginning to the end, and homework is completed in written form, which seriously affects the development of students' keyboard skills. To improve students' ability to play improvisation accompaniment, the researcher believes that they should attach importance to the arrangement of content, increase the knowledge of Chinese pentatonic harmony in the teaching process, and increase the example analysis of Chinese piano music. This study takes the piano works of Chu Wanghua as an example and applies it to the teaching process, from piano performance to harmonic analysis. [ABSTRACT FROM AUTHOR]

This study summarizes the composer's piano works for the occasion of Kodály's 140th anniversary. It introduces the role of the piano in Kodály's life, the works he became acquainted with during his studies, and whether he had the opportunity to perform them in concert during his lifetime. Other questions include which study trips could have influenced the composition of his piano pieces, in which period were the piano pieces written, and who were the performers of the first performances. The research method is documentary analysis. As a result of the research, it can be concluded that Kodály had no formal piano teacher. He acquired his knowledge through lessons from his sister. He was driven by curiosity to become acquainted with all of Bach's Well-Tempered Clavier. He later used the instrument in his composing. We also found examples of him accompanying his songs in concerts.2 The piano pieces were influenced by his study trip to France. The piano pieces were composed in 3 periods. [ABSTRACT FROM AUTHOR]

The technology of augmented reality in education is a significant attempt to reform the training mode and develop education in general. Piano training usually includes using well-known computer means of teaching music on-screen and hardware. In this context, augmented reality (AR), alone and integrated with the Internet of Things (IoT), is a promising solution for interactive piano learning. The present study seeks to investigate the impacts of an AR and IoT assisted system for piano education on learners' musical literacy and piano skills (resonance, rhythm, coherence, pace, fingering, playing with both hands and legato playing). As an interactive learning environment, the study integrates HoloKeys, an AR application. This research builds on an empirical approach through a quasi-experiment. It involved 100 students of Tourism College of Zhejiang, China. The study participants were divided into control and experimental groups. The results showed that the experimental group achieved significantly higher results in a piano course than the control group. Hence, it confirms the positive perspective of using AR and the IoT in piano training. The research results can be useful to design and implement modern piano training courses. Thanks to the advantages that AR and IoT technologies offer when shaping interactive learning environments, the application of the present findings goes beyond music education and has the potential to boost learning in other specialties. Future research should focus on designing and developing AR learning tools and additional learning resources. These instruments will provide students with high-quality technical support for piano training. [ABSTRACT FROM AUTHOR]

In Azerbaijan, which has an important place in music education and performance, piano education comes first in classical music education. The piano education of Azerbaijan, which is the place where many world-famous Turkic pianists began their education, even though it was generally influenced by the pieces and composers of the Soviet period, the piano was given a national identity with pieces written by Azerbaijani composers. When the literature is reviewed, it has been detected that there are studies on Azerbaijani composers and piano educators, while there are relatively fewer studies on general piano methods. By examining the methods of the Azerbaijani culture, the importance of different learning methods in piano education is emphasized. This research aimed to examine the three piano methods that were frequently used at the beginning of education, which is the basis of the success of Azerbaijan in piano. In this context, the methods "Fortepianino Çalmaq Üçün İbtidai Dərslik Kitabı", "Fortepianoda Çalmaq Üçün Vəsait (Dərslik)", (School of Piano Playing)" were examined. [ABSTRACT FROM AUTHOR]

The aim of this study, whose theoretical framework is based on Bandura's social cognitive theory, was to investigate the effectiveness of including a metacognitive approach in teaching expressivity at the piano. Questions addressed the perceived effect of metacognition by investigating the processes allowing young pianists to elicit an expressive musical idiom through the use of aural modeling and esthetic and stylistic mental representations, by exploring the mechanisms triggering the translation from felt emotions to expressive performance, and by assessing the resulting overall pianistic performance. A case study design was employed. Five intermediate piano students were recruited. Data were collected through teachers' questionnaires, adjudicators' assessments, students' interviews, students' diaries, and students' performance recordings. Findings highlighted the central role played by aural modeling. The esthetic and stylistic mental representations in the metacognitive process allowed young pianists to elicit an expressive musical idiom through a mental conversion process. The constructs of aural modeling and of esthetic and stylistic mental representations, along with that of musical phraseology, appeared to function both independently and in conjunction with each other. Results also indicated a positive influence of the above constructs on the overall performance of young pianists. [ABSTRACT FROM AUTHOR]

This study aimed at analysing the correlation between the anxiety level of music teacher candidates during piano exams and possible causes of anxiety and their exam performance. The teacher candidates in the study group were given a questionnaire for piano exam anxiety. Anxiety levels of students and their opinions on causes of anxiety were determined with the data collected through the questionnaire that identified personal anxiety levels in piano exams and the causes of anxiety. The exam scores of students in the piano class who were given the questionnaire were determined and associated with their anxiety levels for comparison. Various statistical processes (mean, t test, Anova etc.) were used to find out anxiety levels and to make comparison. The study concluded that the students had high anxiety levels in general, and a significant part of students with high anxiety level had relatively lower performance in piano class. [ABSTRACT FROM AUTHOR]

Big data and the idea of the Internet of Everything have become popular technologies at the moment. The application of these two technologies has also promoted the development of various industries. The education and training industry is the focus of the country and the public. Piano education is the cradle of artists. The application of Internet of Things technology to the piano education industry will help to upgrade the industry teaching model. In order to investigate the current situation of online and offline hybrid teaching in piano education, this paper uses the method of questionnaire distribution to conduct a survey on teachers and students in 50 colleges of music and music training institutions. It was found that after using big data and Internet of Things technology to innovate the online and offline hybrid teaching mode of piano education, so the teaching efficiency of teachers and the learning effect of students have been greatly improved. [ABSTRACT FROM AUTHOR]

With the rapid development of modern information technology represented by the Internet, cloud computing and big data, education and teaching have gradually realized the deep integration of the Internet, which has changed people's way of life, study and work to a certain extent. Intelligence + education provides a new information-based teaching method for the development of education. From the perspective of improving the accuracy of data fusion results, this paper proposes a new multi-source data fusion method based on a set pair analysis connection degree for the situation that multiple sensors with unknown prior knowledge detect the same target feature parameters multiple times. By using the advantages of the set pair analysis feature function, the degree of opposition, the identity and difference between the measurement data are mined to adjust the degree of connection between the data. According to the existing signal-to-noise ratio weighting method in the fusion process, the weight of the measurement data is reasonably allocated to realize the weighted fusion of multi-source data, and the effectiveness and reliability of the algorithm are verified through simulation experiments. Through the summary of the questions, it can be seen that the learners are very satisfied with the mobile piano learning mode based on the intelligent teaching system, and they believe that this learning mode is conducive to the learner's mastery of the basic knowledge of piano, and effectively improves the learners' learning ability. It also improves the individual's self-directed learning ability and academic performance. Through the research, it is concluded that the students' piano mobile learning mode based on the intelligent teaching system is more conducive to the learner's mastery of knowledge, and improves the learning interest and academic performance. [ABSTRACT FROM AUTHOR]

The author has raised the questions and elaborated her opinions on a basis of the literatures and documentations screened and collated by the author in respect of piano education and performance in China in the 20th century. This paper is written as a literature review. The development and achievements in piano education and performance in China has been discussed stage by stage in the 20th century. This will provide theoretical basis for the application of such achievements in one's own piano performance and teaching practices. It is known from the literatures being researched that various piano schools in the world in the 20th century have affected the development of piano performing art in China in respect of piano playing. The remarkable outcomes of these schools have been widely referred to in China. As a result, a piano school with the characteristics of Chinese nation and art of music has gradually come into being. A large number of Chinese native remarkable pianists have been cultivated. So far more of the literatures available in China are on piano education and less on piano performance theories. The researches on piano performance mainly focus on a specific work of art. It is even rare to find any literature on a combination of piano education and piano performance. [ABSTRACT FROM AUTHOR]

Understanding students' physiological characteristics is essential in piano teaching. However, how can teachers in the field know what music suits their students physiologically? This paper explores a new theory in sport science called, "the Four-Stance Theory" to provide teachers with a simple yet practical method to understand students' physiological nature. A survey-based experiment with 20 research participants (10 male and 10 female pianists) was conducted. Research participants were physically tested for their physiological "Stance Types" to see if pianists' physiological characteristics can predict their preferences for certain composers' music. Chi-square tests of independence showed that Stance Type can indeed predict what type of composers they favor (p < .05); further, this simple 10-minute physical test could also predict what types of composer's works they feel most technically comfortable to perform (p < .01) and feel are easier to understand (p < .05). These results indicate that this remarkably simple method could effectively discern pianists' physiological nature and predict which composer's music suits them physiologically. The authors envision that this 10-minute test could be useful for bringing physiological preparedness to both teachers and students. [ABSTRACT FROM AUTHOR]

Born in 1935 in Estonia, the child Arvo Pärt studied piano, then attended courses at the School of Music, where he played the oboe, as a percussionist in the orchestra and sang in the choir. He graduated the composition class at the Tallinn Conservatory, having Heino Eller as a professor. The basis of tintinnabuli compositional style, as Paul Hillier (Paul Hillier - Arvo Pärt, New York, Oxford University Press 1997, 96) describes, is a two-part texture consisting of a 'melodic' voice, moving mostly gradually, from or towards a central pitch and a 'tintinnabuli' voice sounding the notes of the tonic triad. The transition of Arvo Pärt towards his re-affirmation as a composer has a component of personal development in the field of spirituality and religion. In the years around 1971 he meets his second wife, Nora, who will catalyze his renunciation to the Lutheran confession in favor of the Christian Orthodox religion. In an interview, Jamie McCarthy (McCARTHY, Jamie An Interview with Arvo Pärt, Musical Times 130, March 1989) asks him about his feelings regarding a possible influence of the Russian Orthodox religion upon his work. Pärt answers: "Religion influences everything. Not just music, but everything". [ABSTRACT FROM AUTHOR]

Copyright of Journal of Kirsehir Education Faculty is the property of Journal of Kirsehir Education Faculty and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of ouvirOUver is the property of ouvirOUver and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The article "Simulation of optical image detection based on language activity detection algorithm in piano network teaching system" published in Optical & Quantum Electronics has been retracted due to concerns about compromised peer-review processes, inappropriate references, and being out of scope for the journal. The Publisher, in consultation with the Editors-in-Chief, no longer has confidence in the results and conclusions of the article. The author did not respond to correspondence regarding the retraction. [Extracted from the article]

The materials of Manual Harmony course are a combination of harmony science class materials and basic piano practice class materials. The subject is aimed to train students to play four-part harmony on pianos and accompany a melody using the correct chords. Regarding the lectures, it is necessary to modify the teacher-centered to student-centered method to help students better understand the materials. It is also expected that the studentcentered method will give the students opportunities to explore their skills and express their ideas during classes. The aim of this research was to improve students’ skills in playing fourpart harmony correctly, accompanying songs or melodies with correct chords, building problem solving as well as thinking skills in Harmony Manual class which will benefit them in the future. The researcher implemented qualitative method. The data were obtained from Manual Harmony class at the Undergraduate Program of Music Education FSP ISI Yogyakarta. They were taken from literary studies, observations, and interviews. The data were then analyzed through data reduction, data display, and conclusion drawing. The findings revealed that problem-based learning method was highly effective in teaching Manual Harmony subject. [ABSTRACT FROM AUTHOR]

In the following chapter, "Spirit and Mechanism: Liszt's Early Piano Technique and Teaching", Nicolas Dufetel proposes that Liszt's draftbooks are important in understanding Liszt's "approach to piano playing and teaching" (p. 121). Through Liszt's revisions and her own interpretation, she demonstrates how Liszt's final revisions of the two Cypress Pieces are "understood in terms of an affective journey" - of ' I what i Liszt's music expresses' (p. 312-13). He justifies Liszt's approach to modifications of Schubert's Fantasie in C major op.15 (D. 760), suggesting that Liszt basically transferred Schubert's virtuosity to the public stage, as Schubert had "failed" to do so (p. 261). Using Valérie Boissier's notes during her lessons with Liszt, Dufetel also gives a different perspective of Liszt's teaching by comparing his later method with earlier sources, such as Liszt's I Technische Studien. i The connection to the development of Liszt's spiritual thought is intriguing and raises further questions about Liszt's intellectual process. [Extracted from the article]

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

In music teaching in high schools, teachers should not only impart corresponding music knowledge to students but also focus on cultivating students' comprehensive quality and quality. In the process of music teaching in universities, we should focus on students' psychological adjustment and emotional health care. In order to quantify the application effect of big data technology in music teaching reform, this paper takes piano teaching in universities as an example to conduct research and mainly analyzes the physiological and psychological prediction effects involved in the teaching process. This paper introduces three typical big data technologies to predict and analyze the data involved in the existing piano teaching in universities. The analysis results show that the prediction effect based on the fuzzy neural inference system is the best. In addition, the three-dimensional display of the prediction data shows that the prediction effect obtained by big data technology shows good consistency and continuity, which indicates that the prediction method based on big data technology is suitable for psychological adjustment and emotional health care in music teaching in universities. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Solo performance is a common experience for children learning to play an instrument, yet the research literature on these experiences is limited, with a focus on older children and adolescents. The purpose of this study was to examine younger children's feelings about performance over the course of a year of study. Forty-one children were interviewed about their piano lessons and performance experiences at the end of two consecutive semesters of study. They also responded to a pictorial scale on their feelings about performance at each interview and again at two piano recitals. Results indicate that children are remarkably consistent in their feelings about performing in piano recitals, with few significant changes over time and context. Correlation analyses indicate changes in the relationships between feelings about performance and certain study variables over time—in particular age, liking of lessons, liking of performing, practice time, and perception of being good at piano. In the fall term, gender and age are significant predictors of feelings about performance, with younger children and boys feeling most positive. In the spring, the findings shift and the only significant predictor is children's liking of piano lessons. Implications and directions for further research are discussed. [ABSTRACT FROM AUTHOR]

This study addresses the potential of a mobile learning model that integrates local Malaysian musical heritage in piano ornaments finger exercise. An asynchronous model adapted from the concept of karaoke was designed aiming at a synergy of piano exercise, edutainment, and heritage education with visual and auditory accompaniments. We aimed to raise interest and motivation for piano playing ornaments exercise among learners during practice while raising awareness of local musical heritage. A total of 30 piano students aged 13 to 15 years participated in this intervention study; they were equally divided into a control group and an experimental group. The pre- and post-intervention assessments revealed an increase in the levels of motivation, awareness of local musical heritage, and perceived satisfaction factors for the new mobile learning model. [ABSTRACT FROM AUTHOR]

The purpose of this research was to investigate the relationships among college life adaptation, career decision self-efficacy, and career achievement stress regarding students majoring in piano performance. A multiple regression analysis was used to investigate the relationships between college life adaptation and career achievement stress, and career decision self-efficacy and career achievement stress. The findings of the study indicated that personal and emotional adaptation, goal selection, and job information variables had a significant impact on career achievement stress. The findings of this study can be theoretically and practically meaningful, providing opportunities for the development of efficient retention strategies for students majoring in piano performance in a competitive college market. Through this research, the result should be utilized for development of job-seeking, career-related programs, and curriculum. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

This paper proposes a prediction model of piano collective class teaching and learning effect based on DL network in order to realise the precise prediction and evaluation of piano collective class instructional effect and promote the improvement of piano collective class instructional quality. The idea of an instructional assessment index is quantified in this paper using specific data as its input and educational impact as its output. In parallel, several training networks are established to correspond to the first-level evaluation indexes, and the input samples are normalised. Finally, MATLAB performs the empirical research. According to the findings, this method's prediction accuracy can reach 94.41 percent, which is about 10.22 percent higher than that of conventional methods. This prediction model is somewhat realistic and feasible. When used to predict and assess instructional quality, this method not only eliminates the subjectivity of experts in the evaluation process but also yields satisfactory evaluation outcomes and has a broad range of applications. According to the model's predictions and evaluation findings in this paper, appropriate teachers can better understand the drawbacks of the collective class model, focus on some important aspects of teaching activities, and then enhance instructional methods and effects. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

The development of information technology has a profound impact on the development of education. The integration of information technology into the teaching of professional courses has changed not only teaching methods and means, but more importantly, the teaching philosophy, teaching organization, and teaching evaluation are supported by information technology. Changes and progress have also been made. Piano improvisational accompaniment is an indispensable and important course in the teaching of music majors in colleges and universities. Relying on the information-based teaching environment and means, systematically designing piano impromptu accompaniment teaching for music performance majors to improve the effectiveness of teaching is a new exploration in the education and teaching reform of the current higher vocational music performance talent training courses. This study analyzes and studies the problems existing in the current teaching of piano improvisation accompaniment in colleges and universities and proposes the feasible strategies of piano improvisation accompaniment teaching in a targeted manner, to provide reference and guidance for the majority of educators. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]