Design and Application of Objective Questions Generating Examination Paper System Based on Random Extraction Algorithm

With the rapid development of computer networks and artificial intelligence, the examination method has changed from traditional paper to computer-aided. The essence of the intelligent test paper generation problem is a multi-objective parameter optimization problem that satisfies some constraints. The purpose of the design of the intelligent test paper generation algorithm is to select some test questions based on the test question bank, and to require the properties of the test questions to meet the needs of test paper design. In this paper, by comparing the commonly used intelligent test paper generation algorithms, random extraction algorithm is finally selected. The random selection method uses fixed test paper standards or constraints, randomly selects test questions from the test question bank, and follows certain rules to arrange and combine them into the final test paper. This paper studies the constraints and basic process of test paper generation based on random extraction algorithm in detail, and provides support for the design of the generating examination paper system for objective test of Chinese as a foreign language.