4.2 Article

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

Journal

WIRELESS COMMUNICATIONS & MOBILE COMPUTING
Volume 2022, Issue -, Pages -

Publisher

WILEY-HINDAWI
DOI: 10.1155/2022/1797726

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The article highlights the importance of classroom English teaching quality and highlights the advantages of big data technology in English teaching. By utilizing big data technology in the MOOC online learning platform, teachers can improve their teaching level and gain insights into students' learning effects and behaviors.
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.

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