College Classroom English Teaching Methods and Practice Based on Big Data Technology

Author:

Tang Yuan1ORCID,Quan Zhi2ORCID

Affiliation:

1. School of Humanities and Arts, Jiaxing Nanhu University, Jiaxing, 314000 Zhejiang, China

2. College of Foreign Studies, Southwestern University of Finance and Economics, Chengdu, 611130 Sichuan, China

Abstract

The quality of classroom English teaching has become a general concern of the society, because the efficiency of students’ classroom learning can reflect the quality of English teaching. Traditional classroom English teaching has deviated from the development of the times, which is not conducive to the training of diversified, practical, and innovative talents. Big data expands the time and space of education and has a great impact on higher education. The combination of traditional education methods and modern education technology is more conducive to improving teaching level and quality. The application advantages of big data in English teaching under the background of big data are particularly prominent. This paper adopts the big data technology of the MOOC online learning platform to analyze the quality of college students’ classroom English teaching so as to help teachers clearly understand the learning effects of students. Meanwhile, it analyzes the learning behaviors of students and teachers’ teaching behaviors so that teachers can understand each student’s learning status. By comparing with the traditional English teaching data of the first semester, the leap of teachers’ life using MOOC English teaching platform has been improved, the participation degree is higher, and the English teaching quality has been improved. Students who use MOOC English teaching platform have 5% higher overall participation in learning than students in traditional English teaching.

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

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