Research And Implement Of Network Examination System Under Three-level Network Teaching Platform Based On JAVA/XML

With the rapid development of network technology , education techniques have got great promotion. This accelerates the emergence of network education, which offers a good opportunity for the long-distance training of high quality for those in - service teachers who are working in poor counties and rural communities in Gansu province. Considering the educational and economic conditions of such locations, we have built a network teaching platform, consisting of three resource centers - province, county and town.As we know, teaching evaluation is also an essential aspect of education besides gaining knowledge. In most schools, the examination is used as a chief means of deciding whether a student succeeds or fails. The normality and scientificity of examination, as well as organization and management, all directly exert influence on the accuracy and objectivity of examination results, thus will affect the teaching quality.This paper, Research and Implement of Network Examination System under Three-level Network Teaching Platform Based on JAVA/XML, which is an important part of the platform, begins with analyzing basic problems of network examination system. Combining the current popular network developing techniques and methods of software engineering, we construct the network examination system model. By adopting some related test theories and incorporating the design principles of database, we set up the item bank. We use binomial distribution function controlling paper's difficulty ratio. Since the auto-generating examination paper is a constrained multi-object optimization problem, this paper presents a new approach based on genetic algorithm to solve it. We define the crossover operator and mutation operator in the real coded and adjust the probabilities of crossover and mutation adaptively. The main parameters in genetic algorithm can then be adjusted automatically according to individual fitness. Experiments show that this kind of genetic algorithm could solve auto-generating paper problems more effectively than other methods with a better performance and practicability.The auto-generating algorithm based onadaptive GA will benefit those who are going to develop examination system.In the end of this paper, we put forward processing methods of special circumstance possibly emerging during the exam, and the conception of applying the misty theories to correcting subjective test question automatically. Meanwhile, it shows my own viewpoint about the multimedia test question , puts forward the problems that need betterment and extension, and points out the direction for further research.In addition, we have obtained the periodical achievements in the mathematics model , architectures, and auto-generating algorithm of examination system. This network teaching platform has already stepped into a stage of testing the overall function.