The development system of local music teaching materials based on deep learning

Abstract

In the education industry, the transformation of educational concepts, the reform of teaching courses and the reorganization of teaching materials are the only way to strengthen quality education. Local music(LM) education is no exception. The development of LM teaching materials (TMs) suitable for various regions and schools is of great significance to deepen students' understanding of TMC and improve their interest in LM courses. Deep learning is a new artificial intelligence method that has been widely concerned and widely used in recent years. It is the hottest development content in artificial intelligence and is used in many fields. Deep neural network models have strong expressiveness, and model training is closer to the way the brain works. Therefore, based on the concept of deep learning, this paper builds a development system for local music teaching materials. Each school can refer to this system to develop textbooks, and in the process of TD, intelligent development software can be used to write textbooks. This paper analyzes the current situation of the development of TM teaching materials in 15 schools in a province through the methods of investigation, interview and data statistics, and expounds the attitudes and factors affecting the development of TMs from the perspectives of schools, teachers and students(TAS). The results show that there are 9 schools. Support the development of TMs. A total of 58.65 % of teachers and students are in favor of the development of TMs, but 39.29 % of teachers believe that their ability to develop traditional music TMs is average, and students do not have a deep understanding of LM. Therefore, the development of traditional music teaching It is necessary to conduct an in-depth discussion on the two teaching subjects of TAS.