Research on college English teaching based on data mining technology

Abstract 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...

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Autores principales:	Jinhui Duan, Rui Gao
Formato:	article
Lenguaje:	EN
Publicado:	SpringerOpen 2021
Materias:	Data mining Classification Decision tree Classification rules Telecommunication TK5101-6720 Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/8d078d60bcad44d6b371adbf3adcb11e
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spelling	oai:doaj.org-article:8d078d60bcad44d6b371adbf3adcb11e2021-11-28T12:07:39ZResearch on college English teaching based on data mining technology10.1186/s13638-021-02071-61687-1499https://doaj.org/article/8d078d60bcad44d6b371adbf3adcb11e2021-11-01T00:00:00Zhttps://doi.org/10.1186/s13638-021-02071-6https://doaj.org/toc/1687-1499Abstract 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.Jinhui DuanRui GaoSpringerOpenarticleData miningClassificationDecision treeClassification rulesTelecommunicationTK5101-6720ElectronicsTK7800-8360ENEURASIP Journal on Wireless Communications and Networking, Vol 2021, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Data mining Classification Decision tree Classification rules Telecommunication TK5101-6720 Electronics TK7800-8360
spellingShingle	Data mining Classification Decision tree Classification rules Telecommunication TK5101-6720 Electronics TK7800-8360 Jinhui Duan Rui Gao Research on college English teaching based on data mining technology
description	Abstract 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.
format	article
author	Jinhui Duan Rui Gao
author_facet	Jinhui Duan Rui Gao
author_sort	Jinhui Duan
title	Research on college English teaching based on data mining technology
title_short	Research on college English teaching based on data mining technology
title_full	Research on college English teaching based on data mining technology
title_fullStr	Research on college English teaching based on data mining technology
title_full_unstemmed	Research on college English teaching based on data mining technology
title_sort	research on college english teaching based on data mining technology
publisher	SpringerOpen
publishDate	2021
url	https://doaj.org/article/8d078d60bcad44d6b371adbf3adcb11e
work_keys_str_mv	AT jinhuiduan researchoncollegeenglishteachingbasedondataminingtechnology AT ruigao researchoncollegeenglishteachingbasedondataminingtechnology
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Research on college English teaching based on data mining technology

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