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Digital Construction of Vocal Music Teaching Resource Base Using Data Mining Technology

Vocal music teaching resource databases can support teachers' instruction and students' learning while also enhancing the school's ability to run a school because they are the main components of digital construction for vocal music teaching. Currently, system application is the main a...

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Autor principal: Xu, Ning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9356841/
https://www.ncbi.nlm.nih.gov/pubmed/35942141
http://dx.doi.org/10.1155/2022/8351868
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author Xu, Ning
author_facet Xu, Ning
author_sort Xu, Ning
collection PubMed
description Vocal music teaching resource databases can support teachers' instruction and students' learning while also enhancing the school's ability to run a school because they are the main components of digital construction for vocal music teaching. Currently, system application is the main area of research for DM (data mining), which was previously focused on method discovery. A vocal music teaching resource base based on DM technology is created by using the theme as the central organising principle, processing, and organising the resources. Incorporate lesson planning, teaching, self-study, and output resource construction into a digital network resource application environment by using thematic resource development. Students' achievement data, personal basic information, and evaluation data are used for DM based on the enhanced Apriori algorithm in order to uncover hidden rules and find correlations between various factors. This information is then used to support decision-making. When the system load is 1, the results demonstrate that the Apriori algorithm's CPU waste rate and task success rate is 0.144 and 0.896, respectively. The study's conclusion demonstrates that integrating DM technology into the field of education is theoretically and practically possible and that there is significant room for future study and application in this area.
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spelling pubmed-93568412022-08-07 Digital Construction of Vocal Music Teaching Resource Base Using Data Mining Technology Xu, Ning J Environ Public Health Research Article Vocal music teaching resource databases can support teachers' instruction and students' learning while also enhancing the school's ability to run a school because they are the main components of digital construction for vocal music teaching. Currently, system application is the main area of research for DM (data mining), which was previously focused on method discovery. A vocal music teaching resource base based on DM technology is created by using the theme as the central organising principle, processing, and organising the resources. Incorporate lesson planning, teaching, self-study, and output resource construction into a digital network resource application environment by using thematic resource development. Students' achievement data, personal basic information, and evaluation data are used for DM based on the enhanced Apriori algorithm in order to uncover hidden rules and find correlations between various factors. This information is then used to support decision-making. When the system load is 1, the results demonstrate that the Apriori algorithm's CPU waste rate and task success rate is 0.144 and 0.896, respectively. The study's conclusion demonstrates that integrating DM technology into the field of education is theoretically and practically possible and that there is significant room for future study and application in this area. Hindawi 2022-07-30 /pmc/articles/PMC9356841/ /pubmed/35942141 http://dx.doi.org/10.1155/2022/8351868 Text en Copyright © 2022 Ning Xu. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Xu, Ning
Digital Construction of Vocal Music Teaching Resource Base Using Data Mining Technology
title Digital Construction of Vocal Music Teaching Resource Base Using Data Mining Technology
title_full Digital Construction of Vocal Music Teaching Resource Base Using Data Mining Technology
title_fullStr Digital Construction of Vocal Music Teaching Resource Base Using Data Mining Technology
title_full_unstemmed Digital Construction of Vocal Music Teaching Resource Base Using Data Mining Technology
title_short Digital Construction of Vocal Music Teaching Resource Base Using Data Mining Technology
title_sort digital construction of vocal music teaching resource base using data mining technology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9356841/
https://www.ncbi.nlm.nih.gov/pubmed/35942141
http://dx.doi.org/10.1155/2022/8351868
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