Open AccessAnalysis of Music Online Teaching Curriculum Arrangement Based on BP Neural Network Model
Author(s) -
Xiaolu Wang,
Qun Wang,
Yao Chen
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1648/3/032101
Subject(s) - curriculum , disconnection , quality (philosophy) , computer science , set (abstract data type) , rationality , the internet , mathematics education , music education , irrational number , multimedia , process (computing) , artificial neural network , psychology , pedagogy , artificial intelligence , world wide web , mathematics , philosophy , geometry , epistemology , political science , law , programming language , operating system
Music online teaching course is a course based on Internet human-computer interaction, which has the feasibility of technology, concept and conditions. However, the rationality of online music teaching curriculum arrangement will directly and objectively reflect the actual teaching quality of the course. By reducing the interference factors in the process of online course arrangement, we can improve the applicability of the evaluation method based on BP neural network model. Music online teaching course can enhance students’ comprehensive artistic quality, which will better cultivate high-quality, compound music art talents. The lack of normal characteristics in online music teaching will lead to the imbalance of curriculum structure. Therefore, the value of online music courses may not be reflected. At the same time, the single content or maladjustment of curriculum content will result in disconnection with basic education, which will ignore the "irrational" phenomenon of music students’ professional advantages. Therefore, this paper puts forward some suggestions, which will be more reasonable to set up music online teaching courses.