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

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.

Construction of Traditional Culture English Learning Resources Based on Data Mining Technology

“…Since the turn of the 21st century, global economic competition and arms races have intensified, consequently expanding the demand for English professionals. Responding to this, various colleges and universities have undertaken reforms aimed at enhancing English teaching models [1]. Notably, English grammar and syntactic analysis have been prioritized as foundational components crucial for cultivating compound English talents (Guan, 2018).…”