Research on college English teaching based on data mining technology

被引：5

作者：

Duan, Jinhui ^{[1
]}

Gao, Rui ^{[2
]}

机构：

[1] Kunming Univ Sci & Technol, Oxbridge Coll, Kunming 650106, Yunnan, Peoples R China

[2] Digital Hollywood Univ, Grad Sch, Tokyo 1130022, Japan

来源：

EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING | 2021年 / 2021卷 / 01期

关键词：

Data mining; Classification; Decision tree; Classification rules; PREDICTION; DESIGN;

D O I：

10.1186/s13638-021-02071-6

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

To improve the efficiency and quality of college English teaching, we analyzed the feasibility and application process of data mining technology in college English teaching. The entire process of data classification mining was fully realized. A new teaching program was proposed. The object and target of data mining were determined. Online surveys were used to collect data. Data integration, data cleaning, data conversion, data reduction and other pre-processing technologies were adopted. The decision tree was generated by using the C4.5 algorithm, and the pruning was carried out. The result analysis decision tree model was completed. A detailed survey of the students' English learning in University was made in detail. The results showed that the qualified rate of students' English performance was increased from 20-30% to 50-60%. Therefore, the classification rules provide theoretical support for the school teaching decision. This method can improve the quality of English teaching.

引用

页数：12

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