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基于大数据平台和灰色理论模型的高校音乐教育管理模式分析。

Analysis of Different College Music Education Management Modes Using Big Data Platform and Grey Theoretical Model.

机构信息

College of Music, Cangzhou Normal University, Cangzhou 061000, China.

出版信息

J Environ Public Health. 2022 Aug 16;2022:4522580. doi: 10.1155/2022/4522580. eCollection 2022.

DOI:10.1155/2022/4522580
PMID:36017241
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9398825/
Abstract

Colleges and universities are crucial hubs for talent development, carrying out the vital task of supplying top-notch talent for all spheres of society. The growth of society and the economy is significantly influenced by the quality of education and teaching. A significant factor is the caliber of the instruction. Therefore, it is essential to innovate the educational management model in order to promote the holistic development of college students as well as the orderly development of educational and teaching activities in colleges and universities. The college and university music education model has made progress after years of development. In spite of its successes in reform, there are still a lot of issues that require close attention. The education system is constantly being updated and improved in order to meet modern development needs. It is essential to develop innovative strategies with strong operability from multiple perspectives in response to the actual issues that arise in order to carry out the reform work smoothly and steadily advance the innovation of the management model of music education in colleges and universities. This paper analyzes the teaching impact of the single-line education management model and the credit system education management model and predicts the students' musical performance based on the gray theoretical model and the big data platform. The experiment revealed that as learning time increases, the teaching effects of the two learning modes increase, but it is evident that the credit system education management mode's teaching effect is superior. The single-line education management model among them has an average score of 83.3 points, and the credit system education management model has an evaluation score of 86.1 points.

摘要

高校是人才培养的重要基地,承担着为社会各领域输送顶尖人才的重要任务。社会和经济的发展受到教育和教学质量的显著影响。一个重要因素是教学的水平。因此,创新教育管理模式对于促进大学生的全面发展以及高校教育教学活动的有序发展至关重要。高校音乐教育模式经过多年的发展取得了进步。尽管在改革方面取得了成功,但仍有许多问题需要密切关注。为了满足现代发展的需要,教育系统不断更新和改进。有必要从多个角度制定具有较强可操作性的创新策略,以应对实际出现的问题,从而顺利开展改革工作,稳步推进高校音乐教育管理模式的创新。本文分析了单线教育管理模式和学分制教育管理模式的教学影响,并基于灰色理论模型和大数据平台预测学生的音乐表现。实验表明,随着学习时间的增加,两种学习模式的教学效果都有所提高,但学分制教育管理模式的教学效果明显更好。其中,单线教育管理模式的平均得分为 83.3 分,而学分制教育管理模式的评分为 86.1 分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26f5/9398825/7ac74d41f849/JEPH2022-4522580.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26f5/9398825/221befbc0196/JEPH2022-4522580.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26f5/9398825/382fbeb46840/JEPH2022-4522580.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26f5/9398825/ea1bd8a88e75/JEPH2022-4522580.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26f5/9398825/50fa2e7ccfeb/JEPH2022-4522580.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26f5/9398825/1180b0be95e3/JEPH2022-4522580.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26f5/9398825/23603ff105ad/JEPH2022-4522580.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26f5/9398825/7ac74d41f849/JEPH2022-4522580.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26f5/9398825/221befbc0196/JEPH2022-4522580.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26f5/9398825/382fbeb46840/JEPH2022-4522580.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26f5/9398825/ea1bd8a88e75/JEPH2022-4522580.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26f5/9398825/50fa2e7ccfeb/JEPH2022-4522580.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26f5/9398825/1180b0be95e3/JEPH2022-4522580.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26f5/9398825/23603ff105ad/JEPH2022-4522580.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26f5/9398825/7ac74d41f849/JEPH2022-4522580.007.jpg

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引用本文的文献

1
Retracted: Analysis of Different College Music Education Management Modes Using Big Data Platform and Grey Theoretical Model.撤回:利用大数据平台和灰色理论模型分析不同高校音乐教育管理模式
J Environ Public Health. 2023 Sep 14;2023:9795419. doi: 10.1155/2023/9795419. eCollection 2023.

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Efficient activation of T cells by human monocyte-derived dendritic cells (HMDCs) pulsed with Coxiella burnetii outer membrane protein Com1 but not by HspB-pulsed HMDCs.用贝氏柯克斯体外膜蛋白 Com1 脉冲人单核细胞来源的树突状细胞 (HMDC) 可有效激活 T 细胞,而用热休克蛋白 B 脉冲 HMDC 则不行。
BMC Immunol. 2011 Sep 3;12:52. doi: 10.1186/1471-2172-12-52.