Test Paper Generating Algorithm Based on Potential Weaknesses of Knowledge Points Mined by Association Rule

According to the problem that the flexibility and efficiency are not high of the current test paper generating system, applying data mining to figure out the inter and intra connection among all the knowledge points of CET-4, mining association rules, and picking out as more potential weaknesses of knowledge points as it can, then selecting items corresponding to the weaknesses and generating a user-level specific suitable test paper. Experiments show that the new test paper generating algorithm (TPGA) based on association rules response intelligently and quickly to different user levels, and provide an essential improvement in test paper generating process for users own good to enhance their exercise results.