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Web-based Examination Slstem is an eflective solution for mass education evaluation. We have developed a novel online exomination system based on a BrowsedServer framework which carries out the examination and auto-grading for objective questions and operating questions, such as programming, operating Microsoff Windows, editing Microsofi Wonl , Excel and PowerPoint, etc. It has been successfully applied l o the distance evaluation of basic operating skills of computer science. such as the courxe of computer skills in Universities and the nationwide examination for the high school graduates in Zhejiang Province, China.

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A web-based operational skills examination and evaluation system is designed and implemented for computer courses. It consists of four systems, including preparation, examination, monitor and auto-grading subsystem. Various techniques involving DCOM, mark-method and fuzzy-match are adopted in this system, and a universal approach is generalized to enable auto-grading system suitable for different operated results. This system has been successfully applied in operational skills' evaluation and training, such as programming, editing documents, using Microsoft Windows.

In recent years, e-learning system has become more and more popular and many effective assessment systems have been proposed to offer students for convenience of their self-assessment. However, conventional test systems simply provide students a score, and do not provide adaptive learning guidance for students. Thus, how to automatically diagnose student's learning status and provide learning help becomes an interesting issue. This study proposes an assessment model based on Bayesian Networks, which assesses learning status by knowledge map after absorbing and analyzing test results. In order to form adaptive and tailored feedback, rule inference and exact inference are applied to combine Knowledge map with teacher's experience rules. Experimental results have demonstrated that the novel model benefits students and deserves further investigation.