Design of a University English-Blended Teaching Quality Assessment Model Based on WFKP Clustering Algorithm

Mixed learning in college English training, merging conventional and digital pedagogies, has grown to be increasingly fundamental for fostering versatile language skills. This paper introduces a progressive teaching fantastic evaluation model utilizing the weighted function ok-capability Plus (WFKP) clustering algorithm, which considerably enhances the assessment of mixed English coaching. The WFKP set of rules employs a distinct technique, related to weighted characteristic choice to prioritize influential coaching factors, and a sophisticated [Formula: see text]-capacity clustering to categorize academic data efficiently. The system intricately analyzes multiple dimensions of teaching performance, yielding a nuanced grasp of tutorial first-class. Our version’s application to actual-world teaching eventualities reveals its superiority over conventional evaluation techniques. The experimental results show that the method has significant advantages in identifying and quantifying various factors of first-class teaching, and can provide a powerful, record driven approach for strengthening combination learning strategies.