Intelligent Data Mining-Based Method for Efficient English Teaching and Cultural Analysis

Intelligent Data Mining-Based Method for Efficient English Teaching and Cultural Analysis

Qing Ai, Hongyu Guo
DOI: 10.4018/IJMCMC.293745
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Abstract

The emergence of online education helps improving the traditional English teaching quality greatly. However, it only moves the teaching process from offline to online, which does not really change the essence of traditional English teaching. In this work, we mainly study an intelligent English teaching method to further improve the quality of English teaching. Specifically, the random forest is firstly used to analyze and excavate the grammatical and syntactic features of the English text. Then, the decision tree based method is proposed to make a prediction about the English text in terms of its grammar or syntax issues. The evaluation results indicate that the proposed method can effectively improve the accuracy of English grammar or syntax recognition.
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1. Introduction

Since the beginning of the 21st century, the world economy and arms competition have become increasingly fierce, and the demand for English professionals has gradually expanded. In order to meet the needs of rapid economic development, different colleges and universities have implemented a series of reforms in view of the existing English teaching models (Guan 2018). Among them, English grammar and syntactic analysis are the key points in the foundation, and they are the necessary conditions for the establishment and cultivation of compound English talents. With the introduction of the compound talent training mode of “English + news”, colleges and universities gradually begin to actively explore diversified English teaching models, give full play to students' practical and innovative abilities, and carry out comprehensive practical education around the creative ability of graduates (Mahbub 2021). It plays an important role in cultivating the new ability of English majors.

At present, although the level of English teaching in colleges and universities in China is constantly improving, English, as a public subject, has not been deeply integrated with specific fields and vocational skills, which is reflected in the unfamiliarity of English grammar rules in many fields (Albiladi 2019). French semantic logic is not clear and so on. Therefore, in order to fully meet the needs of social development and educational reform in colleges and universities, we should actively explore an English teaching model dominated by the cultivation of students' professional ability, focusing on the cultivation of basic English analysis and judgment, and realizing the simultaneous development of students' English proficiency and vocational skills plays an important role in improving students' English ability (Mirbabayeva 2020).

In the context of the current big data era, the rapid development of technology has also brought opportunities for the development of college English teaching. Especially in the current teaching, the application of some advanced network technology and information processing technology has greatly facilitated English teaching, changed the traditional English teaching mode, made teaching more diversified and more interesting, and significantly improved students' interest in learning (Elyas 2018). With the assistance of big data, school institutions can build an effective English grammar and syntax database, record students' phased English learning, and then organize and analyze them as a basis to constantly optimize teaching ideas. improve the pertinence of English teaching, so as to fully meet the diversified and dynamic needs of students (Hudson 2005). Under the application of big data, we can also strengthen the dynamic monitoring of teaching quality and improve the timeliness of teaching. In addition, the application of information technology can help students understand knowledge and enrich classroom content, so as to improve students' learning efficiency and teaching quality (Guo 2021). Therefore, in order to meet the needs of the development of major industries, colleges and universities at home and abroad gradually combine data mining and other related contents to carry out a wide range of English teaching, including basic grammar, semantics and so on (Lou 2020).

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