Development of E-Learning System and Digital Teaching Materials of Fractional Division for the Fifth Graders

[[abstract]]This research takes Nine-year Compulsory Education mathematics domain fifth grade ability target 5-n-06 as the example, the design “Fractional division” of the teaching materials unit, and establishes the union “the knowledge structure” and “Bayesian Networks” the computerized adaptive test takes the diagnostic tool. Finally by learning style inventory the study analyzes whether after using this system, the score which different learning style students test question mistake types with sub-skill performance reaches the remarkable difference. According to the analysis result , there are five conclusions as below. 1.The rate of saving items by Bayesian networks computerized adaptive testing (BNAT) is above 52% and prediction accuracy can reach over 93%. 2.With regard to the effect of BNAT, the prediction accuracy of the mistaken types and sub-skills is 93.920% in pre-test and 95.15% in post-test. 3.After testing the experimental group, the average score after adjustment is 88.55 which is 4.83 higher than the traditional teaching group ( the average score is 83.72 ) and reaches the remarkable difference. It proves that the score of the experimental group of recovery teaching surpasses the traditional teaching group obviously. 4.The students of the experimental group divided into three parts ( high, middle and low ) take the analysis of pretest and posttest. The middle and low parts have the remarkable difference. The low part progresses 13.69, which performans better than other two parts. The study of the arranged teaching material confirms that the low part students receive better recovery effect. 5.The traditional teaching group students in the learning style with the sub-skill, the mistake types diagnosis reach the remarkable difference which is higher than the experimental group