Research on the Innovation of Music Teaching in Universities Based on Artificial Intelligence Technology

Author:

Shi Junyan1,Ning Qinliang2ORCID

Affiliation:

1. Dongbang Culture University, Seoul 100-744, Republic of Korea

2. Music and Dance College of Hunan First Normal University, Changsha 410205, China

Abstract

At present, music education in colleges is in a period of rapid development in China. At the same time, music education in universities is facing innovation and reform of teaching modes. How to improve music education in colleges and universities has become an important issue for music teachers in colleges. Music teaching and management activities for students in general universities can enrich students’ talents and expand their knowledge. It can also help them develop a positive emotional psychology and develop positive and healthy character characteristics, both of which are vital for college students’ healthy development. Innovation and modification in music teaching and management activities for students is the only way to increase the quality and effectiveness of music teaching for nonarts students and to promote the overall quality of students. Based on this, this paper proposes an innovative research method of college music teaching based on artificial intelligence technology. The method introduces a fuzzy evaluation algorithm to establish a two-level teaching evaluation index system and calculates the weights of each index based on fuzzy mathematical theory. In data processing, the SVM algorithm in the field of data mining is used to classify all collected teaching evaluation data in advance through supervised learning, which significantly improves the efficiency of data processing. The experimental results show that the model in this paper can well assess the quality of music teaching in colleges and universities and play a role in promoting the progress of music teaching in colleges and universities.

Funder

Education Department of Hunan Province

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Information Systems

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Retracted: Research on the Innovation of Music Teaching in Universities Based on Artificial Intelligence Technology;Security and Communication Networks;2023-12-06

2. Research on the Application of Multimedia Technology in Junior High School Music Classrooms;Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023);2023

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