Intelligent Analysis of College English Test Results by Data Mining Techniques

With the development and implementation of information technology, big data with big Volume, Velocity, Variety, and Value, Veracity (5V) has emerged and been applied in the field of education. The emergence and application of big data are updating the conventional conditions for the schools, teachers, and students in English teaching and learning processes. In contrast, how to use data mining techniques to better analyze college English test scores remains to be further elucidated. In this context, we carried out an intelligent analysis to propose strategies for college English test scores based on data mining technology. Firstly, the necessity and demand of the intelligent college English test score analysis system are discussed, and then its implementation paths are dilated from the process of data mining, the overall architecture of the system, and the process of intelligent prediction of college English scores. The results contribute to making appropriate and personalized suggestions for students’ learning methods and teachers’ learning materials.