Research on Technical Optimization of Computer Skills Examination Based on Genetic Algorithms
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Yin Yanlin, Han Rui
It is difficult to objectively evaluate the application ability of computer in the traditional form of question-and-answer, and it is undoubtedly the best choice to take the way of computer actual operation to assess. Based on the background of the automatic examination system and the comprehensive analysis of the situation at home and abroad, this paper studies the automated evaluation technology used in the system, and discusses the design and implementation of the automated examination for computer skill teaching from the aspects of system architecture, database design, computer proposition, test paper formation, examination and automated test paper design. The genetic algorithm is used to compose the volume. At the same time, different scoring techniques are adopted according to different types of questions, and the online test platform for computer skills courses is designed and implemented. The algorithm can be successfully applied to automatic test papers, with fast set-up speed and high success rate, and the algorithm is not sensitive to initial values.
Genetic Algorithms, Computer Skills Examination, Technology Optimization