RETRACTED: Quality Assessment Method of Information Model Reform of Higher Mathematics Education Based on Big Data (Retracted Article)

被引：1

作者：

Li, Jiao ^{[1
]}

Xue, Jiao ^{[1
]}

Fu, Hongjuan ^{[1
]}

机构：

[1] Huaxin Coll, Hebei Geol Sch, Shijiazhuang 050200, Hebei, Peoples R China

来源：

MATHEMATICAL PROBLEMS IN ENGINEERING | 2022年 / 2022卷

关键词：

DECISION TREE; LANDSLIDE SUSCEPTIBILITY; RANDOM FOREST; PERFORMANCE; CLASSIFICATION; DISTURBANCES; TRANSFORM;

D O I：

10.1155/2022/5932902

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The quality of higher mathematics teaching in colleges and universities is related to a variety of influencing factors, and the changing laws are very complex, which makes the current model unable to accurately evaluate the quality of higher mathematics teaching in colleges and universities. In order to solve the deficiencies in the current teaching quality evaluation process in colleges and universities and improve the correct rate of college teaching quality evaluation, a quality evaluation method based on big data is proposed, which reforms the information model of college teaching quality evaluation. The literature related to mathematics teaching quality evaluation is researched and analyzed, and the influencing factors of higher mathematics teaching quality evaluation in colleges and universities are established. Then, collect the data of the influencing factors of higher mathematics teaching quality in colleges and universities, and establish a learning sample of college teaching quality evaluation through the star rating of the teaching quality of colleges and universities by experts. Finally, the neural network and decision tree of big data technology are introduced to train the learning samples to form an evaluation model of higher mathematics teaching quality in colleges and universities. The results show that our method can achieve high accuracy.

引用

页数：8

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