In our globally connected era, English’s status as the leading international language is evident. Nonetheless, teaching English encounters various hurdles. One such challenge stems from the diverse student population, each with unique learning capacities and interests, rendering conventional uniform teaching approaches ineffective. Research indicates that when assessed by specific measures, the intelligent fuzzy decision tree method outperforms traditional genetic algorithms in analyzing teaching accuracy and its influential factors over time.