Design and application of computer-aided English learning system

Associative memory is a highly effective mnemonics, hence it was soon applied by vocabulary learning software. This paper examines the design and application of an English vocabulary learning computer system based on associative memory (AM-ELS). This system uses Sybase's latest database model designer CASE toolkit named Sybase Power Designer 12.0, and creates 7 data tables including user registration table (Flog. dbf), useful sample sentence table (Enms-dto.dbf), English vocabulary table (Wpmsdto.dbf), memory test results table (Wpmsdtsc. dbf), table of wrong words in memory tests (Wpmsdtrr. dbf), memory test score table (Wpmsdtsc. dbf 7), and option data table (Wpmsdtva. dbf). AM-ELS is a multi-user, practical, easy to learn, visualized and object-oriented computer-aided learning system developed under VFP9.0. Experiments show that this system can improve users' associative capacity and foster their ability to use associative memory to consolidate memory. Keywords: Associative memory; computer-aided system; AM-ELS.