Piano playing teaching system based on artificial intelligence – design and research

2020 ◽  
pp. 1-9
Author(s):  
Meichen Liu ◽  
Jieru Huang
Keyword(s):  
Neural Network ◽  
Teaching Model ◽  
Multimedia Software ◽  
Teaching System ◽  
Piano Teaching ◽  
Teachers And Students ◽  
Piano Education ◽  
Computer Teaching ◽  
Network Studies ◽  
Piano Playing

In recent years, with the rise of piano teaching, many people began to learn to play the piano. However, the expensive piano teaching cost and its unique teaching model that teachers and students are one to one have caused the shortage of piano education resources, and people learn piano playing has become a luxury activity. The use of computer multimedia software for piano teaching has become a feasible way to alleviate this contradiction. This paper proposes the design of an intelligent piano playing teaching system based on neural network, studies the realization method of the piano teaching system, presents a method of evaluating piano playing by using neural network model for the difficulties in computer piano teaching, that is, computer teaching is one-way knowledge transfer without interaction. In addition, this paper simulates the teacher to guide the students to carry on the playing practice, which is of great significance to the teaching of the piano.

scholarly journals Toward Piano Teaching Evaluation Based on Neural Network

2022 ◽  
Vol 2022 ◽  
pp. 1-9
Author(s):  
Wanshu Luo ◽  
Bin Ning
Keyword(s):  
Neural Network ◽  
Music Performance ◽  
Evaluation Process ◽  
Piano Performance ◽  
Multimedia Software ◽  
Factors Affecting ◽  
Piano Teaching ◽  
Teacher Student ◽  
Piano Education ◽  
Performance And Evaluation

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).

Research on Extracurricular Teaching System Based on Twitter Mode

2013 ◽  
Vol 409-410 ◽  
pp. 1624-1628
Author(s):  
Yong Xie ◽  
Yi Lai Zhang
Keyword(s):  
Multiple Intelligences ◽  
Teaching Methods ◽  
Teaching Model ◽  
Teaching System ◽  
Intensive Research ◽  
Computer Course ◽  
Teachers And Students ◽  
Theory Of Multiple Intelligences ◽  
Healthy Personality

After a long practice and intensive research, targeted on innovation of extracurricular teaching system, with Diversified Teaching Theory and innovative exchange systems among teachers and students, a new teaching scheme of extracurricular teaching system for Basic Computer Course based on twitter model was proposed in this paper. This teaching model was established in textbook knowledge, and adopted the theory of multiple intelligences, and combined hot issues of students concerning, and opens various Twitter topics for student. It embodied the theory of multiple intelligences in the curriculum and teaching methods, and was an important role to develop students' healthy personality and improve their overall quality.

AI based research on exploration and innovation of development direction of piano performance teaching in university

2020 ◽  
pp. 1-7
Author(s):  
Yanjie Chen ◽  
Na Zheng
Keyword(s):  
New Media ◽  
Traditional Classroom ◽  
Piano Performance ◽  
Piano Teaching ◽  
Network Information ◽  
Development Direction ◽  
Teachers And Students ◽  
Piano Education ◽  
Piano Majors ◽  
Traditional Classroom Teaching

This paper investigates the cognition status of information piano education for teachers and students in a university, which mainly includes a summary of the piano teaching status in a university and make an analysis and summary of the investigation results. In addition, this paper puts forward the direction of the network information reform and construction for piano majors in Colleges and universities, mainly including three aspects, that is, taking piano “micro class” teaching to arm traditional classroom teaching, using the new media to build a networked piano learning environment, and building the piano teaching “MOOC” platform.

Neural Network Studies

1993 ◽  
Author(s):  
Gregg Wilensky ◽  
Narbik Manukian ◽  
Joseph Neuhaus ◽  
Natalie Rivetti
Keyword(s):  
Neural Network ◽  
Network Studies

Simulation of Chinese online teaching invocational colleges based on complex evolution and improved neural network

2020 ◽  
pp. 1-13
Author(s):  
Yang Mei
Keyword(s):  
Neural Network ◽  
Online Teaching ◽  
Social Research ◽  
Teaching Process ◽  
Network Algorithms ◽  
Teaching System ◽  
Transmission Problems ◽  
Vocational Colleges ◽  
Function Module ◽  
Realization Process

Because the teaching methods of Chinese teaching in higher vocational colleges are improper and the problems in the teaching process cannot be found in time, the teaching effect is not good and there are many difficulties in the teaching process of teachers. According to actual needs, based on complex evolution and improved neural network algorithms, this paper builds a Chinese online teaching system in high vocational colleges. After communication with users and social research, the model function module is determined, and the system performance is improved through the mapping optimization model to eliminate data transmission problems in the system operation, and the realization process of the system function module is shown in the form of a diagram. In addition, this paper designs a control experiment to verify the performance of the model and uses the traditional algorithm model as a control to start the test teaching and uses statistical methods to compare the teaching effects. The research results show that the teaching system constructed in this paper has certain advantages over the traditional model.

scholarly journals Research on Application-oriented Teaching System under the Background of "Internet +"

2019 ◽  
Vol 3 (2) ◽  
pp. 26
Author(s):  
Gang Chen ◽  
Chunzhi Zhang
Keyword(s):  
Teaching Method ◽  
The Internet ◽  
Teaching Model ◽  
Universities And Colleges ◽  
Teaching System ◽  
Network Information ◽  
Development Path ◽  
Starting Point ◽  
Research On Application ◽  
Internet Development

<p>With the popularity of network information technology, the Internet has gradually infiltrated to people's life and even changed their lifestyles. People use Internet thinking to solve all the problems they encounter. Therefore, people's life is inseparable from the Internet. In the field of education, the "Internet" also plays its role. Universities and colleges continue to improve the teaching system and form a student-led teaching method, which is consistent with the Internet development speed. Taking the diversified teaching model as the starting point, we will deeply study the development path of the application-oriented teaching system under the "Internet +".</p>

Neural Network Studies. 3. Variable Selection in the Cascade-Correlation Learning Architecture

1998 ◽  
Vol 38 (4) ◽  
pp. 651-659 ◽  
Author(s):  
Vasyl V. Kovalishyn ◽  
Igor V. Tetko ◽  
Alexander I. Luik ◽  
Vladyslav V. Kholodovych ◽  
Alessandro E. P. Villa ◽  
...  
Keyword(s):  
Neural Network ◽  
Variable Selection ◽  
Cascade Correlation ◽  
Correlation Learning ◽  
Network Studies
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