Design of teaching quality evaluation system for college English majors based on data mining algorithms
The aim of this study is to design and implement a data mining algorithm based evaluation system for the teaching quality of English majors in universities.With SLIQ data mining algorithm as the core,the system analyzes large-scale data generated during the teaching process and identifies key factors that affect teaching quality.The system architecture design includes modules such as data collection and preprocessing,feature selection and construction of teaching quality evaluation models,ensuring efficiency and accuracy from data processing to analysis.System testing is conducted in an environment that simulates actual application scenarios,including the evaluation of key indicators such as response time,system throughput and accuracy of teaching quality evaluation.The test results show that the system has good performance and high accuracy,and can serve as an effective tool to improve the quality of English teaching in universities.
data mining algorithmEnglish majorteaching quality evaluation
NETL
NSTL
万方数据
