Analysis and Optimization of Online Music Teaching System Based on Dynamic Model

Author:

Miao Miao1ORCID

Affiliation:

1. Music and Dance College, Liaocheng University, Liaocheng 252000, China

Abstract

The online teaching system is based on a high-tech framework to realize the integration and utilization of existing resources. Applying the online teaching system to distance learning education will help practitioners or self-study people to obtain learning resources more conveniently and quickly. With the development of technology and the social environment, more and more people are participating in online teaching. This has led to rapid growth in online teaching. However, when users use it, there are still problems, such as poor system interaction performance, and cumbersome interface. The construction of a system dynamics model is based on powerful system dynamics methodology and rules to analyze and solve complex problems and make optimal judgments. Through this research, we can get (1). to design the dynamic model music online teaching components: student user table, teacher user table, administrator table, virtual classroom, electronic courseware table, and multimedia music library table. (2). To correct the audio quality, audio speed, audio height, initial efficiency, initial efficiency parameters, video quality, and video traffic. The 3A-10 group has the best effect (k = 13.9, c = 0.30, A = 3.27, α = 0.80, Β = 1.67, and γ = −4.31). (3). During the appreciation of different music types (groups A, B, C, D, E, and F), the scores were evaluated according to the dynamic model, and the scores were found to be better than 106. (4). The comparison of kinetic equations, Kuramoto, and LIF shows that the scores of the kinetic equations are significantly better than the other two models. In the kinetic model, F-s = 0.81, F-c = 0.66, D-s = 0.81, D-c = 0.71, H-s = 0.72, H-c = 0.56, V-s = 0.65, and V-c = 0.75.

Publisher

Hindawi Limited

Subject

Computer Science Applications,Software

Reference26 articles.

1. Exploration and practice of online teaching system of medical immunology based on small private online course (SPOC) model during coronavirus disease 2019 (COVID-19) pandemic;W. Wang;Chinese journal of cellular and molecular immunolog,2020

2. Standards for online teaching: lessons from the education, health and IT sectors

3. Cuidados humanizados: a inserção de enfermeiras obstétricas em um hospital de ensino

4. Design of online teaching system for passing levels engine repair;Z. D. Sun;Education Teaching Forum,2019

5. Exploring online intelligent teaching method with machine learning and SVM algorithm

Cited by 1 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

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3