RETRACTED: Construction of Mathematics Teaching Environment Based on Big Data on the Wisdom Cloud Platform of Higher Vocational Education (Retracted Article)

被引:1
|
作者
Sun, Xiaokang [1 ]
Huang, Xiangshu [2 ]
Yu, Hui [3 ]
Liu, Xirui [4 ]
机构
[1] Zaozhuang Vocat Coll, Zaozhuang 277800, Shandong, Peoples R China
[2] Zaozhuang Vocat Coll, Acad Affairs & Sci Res Div, Zaozhuang 277800, Shandong, Peoples R China
[3] Zaozhuang Vocat Coll, Dept Econ & Informat Technol, Zaozhuang 277800, Shandong, Peoples R China
[4] Zaozhuang Technician Coll, Students Affairs Off, Zaozhuang 277800, Shandong, Peoples R China
关键词
D O I
10.1155/2022/4348613
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
As a public basic course in the system of higher vocational colleges, mathematics has received more and more attention from education administrators. However, there are still problems in higher education that mathematics teaching resources are scatter and data are difficult to integrate. Big data (DT) and smart clouds are the burgeon of intelligent technology, which has provided support for teaching informatization and teaching data integration in colleges and universities. This article aims to solve the problems of mathematics teaching in higher vocational education, such as more content and less class hours, difficult, higher vocational education due to the expansion of enrollment, and the decline in mathematics teaching quality, and build a smart cloud platform based on big data mathematics instructing environment system and mathematics wisdom instructing. The reconstruction of the environment is the deep integration of information technology and mathematics instructing, which can promote the deep integration of information technology with teaching, management, and environment. The experiments in this article show that the application of the smart cloud platform to mathematics teaching can greatly increase students' enthusiasm for learning and improve the school's mathematics teaching level, and the improvement rate of students' performance can reach 99.89%. The research in this article is of great significance to the adjustment of mathematics teaching environment in higher professional education.
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页数:11
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