Examining the communicative efficiency of social media in the practice of digital transformation in English language education

The rapid development of digital technology makes the digital transformation of traditional English education inevitable. Social media, which develops in parallel with technology, has an indispensable role in the process of digital transformation of English education. The article adopts data envelopment analysis method, super-efficient SBM model, non-parametric Kernel estimation method and Tobit regression model to jointly construct the research model of social media knowledge exchange efficiency in English digital education. The constructed research model is used to analyze the efficiency of knowledge exchange in the English digital community and its influencing factors accordingly. In the English digital community, the input and output of English film and media are the strongest, and the number of users, the number of posts, the knowledge stickiness and knowledge density, the staff input and the number of posts in the English film and media board are the largest among the eight boards. In terms of output, English Film and Media has the highest number of views, replies, re-replies, likes, and favorites. The mean values of combined technical efficiency, pure technical efficiency, and scale efficiency for the eight sections are 0.714, 0.771, and 0.908, respectively. The correlation coefficients between five influencing factors (size of the community, time of establishment of the community, involvement of the community administrator, financial input for management of the community’s knowledge exchange, and quality of the community members ) had correlation coefficients of 0.126, −0.382, 0.235, 0.143, and 0.162 with knowledge exchange efficiency, respectively.