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

Qing Ai, Hongyu Guo

Source Title: International Journal of Mobile Computing and Multimedia Communications (IJMCMC)13(2)

ISSN: 1937-9412|EISSN: 1937-9404|EISBN13: 9781683180456|DOI: 10.4018/IJMCMC.293745

MLA

Ai, Qing, and Hongyu Guo. "Intelligent Data Mining-Based Method for Efficient English Teaching and Cultural Analysis." IJMCMC vol.13, no.2 2022: pp.1-14. http://doi.org/10.4018/IJMCMC.293745

APA

Ai, Q. & Guo, H. (2022). Intelligent Data Mining-Based Method for Efficient English Teaching and Cultural Analysis. International Journal of Mobile Computing and Multimedia Communications (IJMCMC), 13(2), 1-14. http://doi.org/10.4018/IJMCMC.293745

Chicago

Ai, Qing, and Hongyu Guo. "Intelligent Data Mining-Based Method for Efficient English Teaching and Cultural Analysis," International Journal of Mobile Computing and Multimedia Communications (IJMCMC) 13, no.2: 1-14. http://doi.org/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.