2024 Vol.7 Jun.N03

• Title: Utilizing big data analysis to optimize the allocation of teaching resources and promote the comprehensive development of studen
• Name: DongHua Xu,An Wei,JunFa Chen,ShengShan Zhu,PengWu Chen
• Company: Guangzhou Maritime Universit Experimental Center ,GuangZhou510725, China.
• Abstract:

  With the rapid development of big data technology, the education sector has also begun to use big data analysis to optimize the allocation of teaching resources, in order to promote the comprehensive development of students' practical abilities. This article first explores the role of big data analysis in the allocation of teaching resources, pointing out its advantages in improving resource utilization efficiency and customizing personalized teaching plans. Secondly, the importance of optimizing the allocation of teaching resources in improving teaching effectiveness and meeting student needs was analyzed. Finally, combining big data analysis and optimizing the allocation of teaching resources, a path research to promote the comprehensive development of students' practical abilities is proposed, aiming to provide effective guidance for education and teaching workers and promote the continuous improvement of education and teaching quality.

  
  

• Keyword: Big data analysis; Optimize the allocation of teaching resources; Student practical ability; Comprehensive development;
• DOI: 10.12250/jpciams2024090609
• Citation form: DongHua Xu.Utilizing big data analysis to optimize the allocation of teaching resources and promote the comprehensive development of students' practical abilities[J]. Computer Informatization and Mechanical System,2024,Vol.7,pp.39-43

Reference

[1] LOUISE N. DAWE, JUAN MANUEL GARCÍA-RUIZ, JANOS HADJU, et al. Teaching and Education highlighted[J]. Journal of Applied Crystallography,2022,55(2):215-217. DOI:10.1107/S1600576722003661.

[2] YUTING LUO. Construction of Smart Higher Education Teaching Resources Using Data Analysis Technology in Unbalanced Data Environment[J]. Journal of Environmental and Public Health,2022,2022(9). DOI:https://doi.org/10.1155/2022/2130623.

[3] FUJIAN ZHOU. Methods to Improve the Efficiency of Rural Physical Educaf Teaching Resources Allocation and Utilization in the Context of Artificial Intelligence[J]. Computational intelligence and neuroscience,2022,2022(Pt.23):ArticleID3226902. DOI:10.1155/2022/3226902.

[4] ZHENGUI ZHANG. Personalised recommendation method of English micro-lectures teaching resources based on internet of things platform[J]. International Journal of Information and Communication Technology,2022,20(2):115-132. DOI:10.1504/IJICT.2022.120632.

[5] JESSICA A. MARTIN, IMKE SCHROEDER, CRAIG A. MERLIC. Proceedings of the 2021 Workshop on Laboratory Safety: Advancing Safety in Teaching and Research Laboratories[J]. Journal of chemical health & safety,2022,29(2):124-131. DOI:10.1021/acs.chas.2c00003.

[6] XINLI WU, JIE CHANG, FEI LIAN, et al. Construction and Empirical Research of the Big Data-Based Precision Teaching Paradigm[J]. International Journal of Information and Communication Technology Education: An Official Pubblication of the Information Resources Management Association,2022,18(Pt.1):86-99. DOI:10.4018/IJICTE.313411.

[7]Liming Lin,Jiangbin Zheng,Chunyan Ma,et al.Build an International Teaching Resource Construction System and Practice International Talent Training in the Context of “Double First-class” ——Take the School of Software of Northwestern Polytechnical University Case as an Example[J].Computer Education,2022(12):163-170

[8]Chuanlei LI,Nianhua SHEN.Teaching Practice of Integrating Labor Education into Specialized Courses:A Case Study of Plant Cultivation and Maintenance[J].Asian Agricultural Research,2023,15(4):61-64.