Abstract

In view of the current situation of musical education and the need for reform in China, we adopt two different methods, i.e., literature method and interview method in this research work. From these methods, we read a lot of musical education, multimedia technology, and modern teaching and reform. This research work is divided into two main phases. Firstly, the article mainly discusses the characteristics of college musical education compared with other cultural courses and the feasibility of multimedia technology and the auxiliary function of musical education that is applied in school’s musical education. Secondly, brain computing attempts to analyze things by simulating the structure and information processing of biological neural networks. The intelligent learning characteristic of a deep learning algorithm is proposed to monitor the process of musical education teaching and analyze the process quality. Finally, we introduced the design and production of network multimedia courseware which will help in theoretical guidance and reference to the application of multimedia technology in college musical education in China. Moreover, the outcome of the proposed model can play a role in solving and answering questions in the current multimedia application process and Chinese college music workers will apply multimedia technology more effectively and skillfully.

Highlights

  • In recent years, the state has actively promoted the construction of teaching sharing platforms such as network quality courses, microcurriculums, and university video open courses. ey provide multidisciplinary and multitype quality education resources for the teaching and independent learning of college teachers and students

  • Some data show that computers and multimedia have been used in the teaching of various subjects in colleges and universities, but they have not been truly popularized in college musical education [1, 2]

  • (2) An intelligent learning feature based on a deep learning algorithm is proposed to monitor the process of musical education teaching and analyze the process quality

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Summary

Introduction

The state has actively promoted the construction of teaching sharing platforms such as network quality courses, microcurriculums, and university video open courses. ey provide multidisciplinary and multitype quality education resources for the teaching and independent learning of college teachers and students. According to the use of network information by college students, combined with the characteristics of musical education curriculum, this paper discusses the establishment of Q-group-based aerial classroom-assisted teaching. It introduces the experimental study of multimedia teaching and network interaction in musical education. (1) e characteristics of college musical education and other cultural courses are discussed (2) An intelligent learning feature based on a deep learning algorithm is proposed to monitor the process of musical education teaching and analyze the process quality (3) e application of multimedia technology in college physics teaching is studied e rest of this paper is organized as follows.

College Students Use the Network Situation
Classification of Musical Education Courseware
Findings
Analysis and Discussion of Results
Conclusion

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