Intelligent Grouping System Research And Implementation

With the rapid development of computer networks, education field continues to integrate more closely with the network. Test link, which plays an important role in the teaching activities, are also attempting to be related with the network. Online examination system can provide paperless, standardized examination mechanism for schools, educational institutions and public institutions, and it becomes an important part of education information technology. In order to avoid subjective factors and make the graduates meet the job requirements, this paper researched and developed the online knowledge and skills test system based on Browser/Server structure. The project uses UML as a modeling tool, uses dot NET as the development platform, and uses C# as the programming language.With the theoretical basis of classical test theory, this paper makes a research of intelligent composition papers strategy, rules and algorithms. Our contributions are as follow:1) The related technology, system requirements, design program, function modules, data flow and system implementation methods used in the online knowledge and skills test system, are detailed analyzed and elaborated.2) The intelligent composition papers strategy is investigated and the composition papers rules is set.3) The composition papers algorithms are compared and summarized, and the "divided selection at random" algorithm is introduced as the new intelligent composition papers algorithm.4) Auxiliary functions of the intelligence composition papers system, such as automatic scoring, time limits process are given specific solutions.After testing and practical operation, this realization of the system shows that:the system can effectively carry out the question importing, composition papers, question item display, automatic scoring and other functions, and it can meet the project requirements, what's more, it can improve working efficiency.