| Summary: | 碩士 === 國立屏東教育大學 === 資訊科學系碩士班 === 95 === The main purpose of this research is to use classified-function of the Back-propagation Neural Network to build a classified model of adaptive web-based learning system. It contains two main stages. At the first stage, we select students from a vocational school as the subject. The lessons they had learned in Mathematics, were taken as the test sample. Then a classified model of three different levels of learning method is used to complete this research. Finally, with the result of the test, the best adaptive learning method are generated. At the second stage, only the factors affected by the learning achievements in Mathematics (gender, social status, and so on.), and what is gotten above are to be input and output items of Back-propagation Neural Network.Then it can build the model. Therefore, the contribution of the research is to provide not only students can obtain individual type of adaptive web-based learning system through this model, but also teachers can save the time to understand different learning method of each student and promote learning effects of students.
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