We only get score form traditional paper test which analysis details rarely such as weaknesses and mistaken types. According to the circumstance, teachers can only offer the remedy instructions based on the most mistaken types. In fact, variety weaknesses cause to different mistaken types. Bayesian Networks is a very popular statistics analysis tool. It applies perfectly in artificial intelligence and medical treatment. It judges and integrates the problem uncertainties by the probability method. And many philosophy scholars apply Bayesian Networks on Educational Rating. The main idea of the study is to research the ability of quantity and measurement index on Grade 6 and demonstrate the applicable of student mistaken types on the basis of Bayesian Networks which is a probability analysis method. Four purposes as below. 1. Designing the computerized quiz question and set up the reliable index. 2. Establishing cybernate diagnosis mode based on Bayesian Networks, which bounds the ability of quantity and measurement index on Grade 6. 3. Studying the ability of Mistaken Types by using Bayesian Networks. 4. Making remedy instructions flash and demonstrate results of the remedy instructions program.
