Construction and Application of the BEST Teaching Mode of College English in Big Data

Abstract

The widespread use of the Internet and Internet-based devices allows people to access big data easily. With the emergence of big data, the traditional teacher-centered teaching modes can no longer arouse the learning interest of students and cannot satisfy the needs for their overall improvement. A creative and comprehensive teaching mode based on big data environment for students and teachers (BEST) teaching mode was proposed in this study to enhance the teaching effect of teachers and the learning efficiency of students in big data. The challenges brought by big data were analyzed in this study, and a corresponding BEST teaching mode was proposed based on big data. A case study was conducted, in which the BEST teaching mode was applied to college English teaching. SPSS19.0 was used to analyze the results of the experiment. Results demonstrate that the proposed BEST teaching mode allows students to select suitable materials and methods to study and that the proposed mode fundamentally changes the nature of teaching and learning. Findings reveal the many advantages of this mode for both the College English teaching and college English learning. The proposed novel BEST teaching mode plays a significant role in guiding the revolutionary change in the mode and the means of foreign language teaching reforms in China.