Study And Implementation Of Network Examination System Based On J2EE

It is pointed out that the development and application of quality educational resources and the construction of network teaching resource database will be enlarged in the consultative paper of development plan outline for medium and long term reform and development.network examination system, one of the most important parts of network teaching, is becoming an important research topic in colleges and universities. As one of the most primary means, network examination system spares many traditional examination steps and makes teaching administration more automatic, more standar and faster. In the network examination system, the computer can not only grade objective questions quickly but also make use of artificial intelligence technology to judge subject questions. What's the most important is that it can have a fast census and analysis of the students'grades so as to make teachers faster to know the results of students'learning.This paper reviews J2EE architecture and MVC design pattern. At the same time, this paper makes an analysis of functions, safety and stability of network examination system. On-line exam system based J2EE realized in this paper will is one of the most parts of teaching website in Bozhou Vocational and Technical College. This system realizes such basic functions as paperless test, random test-paper, automatic marking, printing and output through B/S system and other related technology.This paper focuses on sbjective tsts's atomated asessment of examination papers. Nowadays, many examination systems in use mainly examine objective questions, so it is not able to make a real examination of the student's academic results and make the requirements of tha examination aims and effects of some subjects. Many people have explored the technology of sbjective tsts's atomated asessment, but because of technical restrictions of artificial intelligence and natural language, research on it is not perfect. Aiming at the difficulties and problems faced by the automated correcting for subjective questions, an automated correcting algorithm for subjective questions based on Chinese segmentation and sentence similarity is proposed. Firstly, a sentence is segmented into some independent words based on the dictionary and statistics, and then the similarity of the whole sentence is obtained by computing the similarity of the words including the appearance, order and the length. Finally, the result is gotten by combining the sentence similarity and the improved keywords matching algorithm so as to make the results optimal.This system overcomes the shortcomings of traditional examinations and greatly improved the efficiency of examination affairs, so it will have a wide application prospect.