The evaluation method of English teaching quality incorporating students' cognitive transfer

Current English teaching quality evaluation methods ignore the influence of students' cognitive level on the evaluation results. To this end, this paper first establishes a diagnostic model of students' English cognition, dynamically assigns students to subgroups with similar abilities through K-means clustering, and computes the mean capability attribute value for all groups. Subsequently, the hidden memory information is extracted from the evaluation text, and the cognitive ability vector is extracted from the English practice records. Students' cognitive abilities are transferred to the evaluation text memory information to obtain the cognitive transfer matrix. The attention scheme is employed to integrate the text memory information and cognitive ability representations to categorise the evaluation texts. Simulation results indicate that the suggested approach has an AUC of 0.9725, which is better than the comparison approach and can achieve more accurate English quality evaluation.