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Innovation and Discrete Dynamic Modeling of College Music Teaching Model Based on Multiple Intelligences Theory.
- Source :
- Journal of Sensors; 5/24/2022, p1-8, 8p
- Publication Year :
- 2022
-
Abstract
- The development of music teaching mode in colleges and universities needs to take music as the main body and carrier to spread and inherit the music theory system. With the continuous innovation and development of science and technology, the teaching mode and teaching system have also ushered in new changes. How to let students understand the process of music teaching and better appreciate the charm of music is the main problem faced by educators. Faced with the above situation, starting from the theory of multiple intelligences, this paper studies the innovation and discrete dynamic modeling of music teaching mode in colleges and universities. Firstly, this paper discusses the application effect of this method in music teaching based on the theory of multiple intelligences. This paper investigates the actual development of multiple intelligences theory in college music teaching. Combined with the characteristics of multiple intelligences theory, modeling and analysis of students' interest changes in the intelligent music education model represented by the space vector model are carried out. Finally, this paper studies the discrete dynamic modeling of students' learning effect after the optimization and innovation of music teaching mode in colleges and universities under the theory of multiple intelligences. The results show that in the innovation of music teaching mode, personalized learning services should be provided based on students' interests. The theory of multiple intelligences can help teachers to effectively analyze the diversity characteristics and changes of students in teaching activities, and it is of great help to improve students' musical performance. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 1687725X
- Database :
- Complementary Index
- Journal :
- Journal of Sensors
- Publication Type :
- Academic Journal
- Accession number :
- 157048824
- Full Text :
- https://doi.org/10.1155/2022/8613485