Abstract
Abstract In this paper, we first use Hamming distance to mine students’ English achievement, construct the data matrix to get the English achievement, and analyze the standard deviation of each row and column in the matrix to get the similarity and the degree of dispersion among the students’ accomplishments. The BGLL algorithm is used to analyze achievement data by clustering. The modularity of the data calculated by clustering is applied to the weighted graph to obtain the results of achievement clustering analysis. By analyzing the effect of the fusion teaching mode of academic English and general English after practice, it was found that the English reading and speaking scores of the students in the experimental class improved significantly. There was a significant difference between the reading posttest scores of the experimental class and those of the control class (p =0.002<0. 05), with a difference of nearly 10 points in the average scores. The student’s awareness score of the importance of English learning after teaching practice reached 4.308, the attitude score of English learning motivation averaged about 3.192, and the student’s knowledge and understanding of English teaching objectives were also more precise, with a mean value of 3.399. The application effect of the integrated English teaching model proposed in this paper is excellent, which lays the foundation for the integrated teaching of academic English and general English, and also provides reference data for the application of the teaching model in the future.
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