Research on Computer-Aided English Vocabulary Learning System Enhanced by Computer Big Data

A computer-aided teaching method of English words is proposed based on associative memory. The CAl software developed on the VFP9.0 platform, which has the advantages of multi-user, practical, easy to learn, intuitive, object-oriented and so on. The corresponding database is built by using the software package developed by CASE and SbasePowerDesignerI2.0. The system includes user registration, vocabulary building, classic example building. Through the analysis of the English vocabulary, we can find the similar English vocabulary, so as to achieve the understanding of English vocabulary. The experiment proves that this method can enhance students' interest in learning. Students' final English scores increased by 12.6. The system realizes good memory through rational use of association mode. Experiments can improve the ability of association. Students can use association method correctly and achieve better memory effect.