Method of rapidly generating test papers and quickly reducing papers based on random code and random numbers

Authors

  • Zhang Haiyan Hebei North University, Zhangjiakou, China
  • Zhang Xiao Hebei North University, Zhangjiakou, China
  • Zhang Weiqiang Hebei North University, Zhangjiakou, China

Abstract


Currently, most on-line examination systems adopt random selection algorithms. The exam papers aremade by using random functions on a test bank of questions. Because the exam paper content needs to be extracted by examination questions one by one, the speed of the test paper is slower. Random selection algorithms to select the number of questions on exam papers generate many questions, and the amount of clutter is not suitable for preservation. This causes the paper to be restored poorly. Thus, it is neither conducive to the comprehensive analysis of the test papers of teachers, nor useful for the teachers to estimate to what degree students grasp the knowledge points. Based on the above reasons, this paper proposes a method that can not only randomly generates tast papers, but also can quickly restore them. This method firstly increases random code to the traditional online exam, and then uses the random function to generate multiple random numbers, After that, it sorts at random according to the specific location of the test characters, and it reads the exam questions and generates papers at one time. In addition, it can fast reduce papers by using the same numbers, and is convenient for the school to analyze the papers comprehensively. Experiments show that this method can generate and restore the test paper quickly. Comparison with the existing random test paper generation method, efficiency and test paper recovery have been improved greatly over time.

Cite As

Z. Haiyan, Z. Xiao, Z. Weiqiang, "Method of rapidly generating test papers and quickly reducing papers
based on random code and random numbers.", Engineering Intelligent Systems, vol. 26 no. 2-3, pp. 65-73,
2018.



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Published

2018-06-01

Issue

Vol. 26 No. 2-3 (2018): International Journal of Engineering Intelligent Systems

Section

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