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Learning evaluation based on learning process characteristics and Elman wavelet network model

Web-based learning is now becoming an important learning form in the application of Internet,. The many problems have been brought in the web-based learning process to the researchers and educators. In the learning processes, the learning achievements and the learning evaluation will be important, and then these could effectively promote the learning capacity of students. In this paper, the suitable feature vector of evaluation on the learning process is built up and a new web-based learning evaluation model has been proposed which is based on the Elman wavelet neural network. The evaluation model could achieve the evaluation of learning effect so as to realize the goal of promoting learning. The results show that this method can be better to estimate web-based learning effect, the evaluation model is appropriate and the higher accuracy rate of evaluation is obtained.