Analysis of intelligent test paper generation method for online examination based on UML and particle swarm optimisation. (3rd May 2021)

• Record Type: Journal Article
• Authors: Yang, Bo; Xie, Huan; Ye, Kuan; Qin, Huan; Zu, Rong; Liu, Anchang
• Is Part Of: International journal of information and communication technology. Volume 18:Number 3(2021)
• Page Start: 317
• Page End: 333
• Publication Date: 2021-05-03
• Subjects: UML -- particle swarm optimisation -- PSO -- online examination -- intelligent test paper generation -- constrained project indicators -- state object matrix; Information technology -- Periodicals; Computer science -- Periodicals; Telecommunication -- Periodicals; 004.05
• Languages: English
• ISSNs: 1466-6642

Abstract

In order to overcome the problems of unclear objective function and inaccurate optimal solution in traditional test paper generation methods, an online intelligent test paper generation method based on UML and particle swarm optimisation is proposed. A mathematical model of test paper generation based on UML modelling tool is established, and the objective function of test paper generation is obtained. The improved particle swarm optimisation algorithm is used to solve the objective function of test paper generation. The optimal solution of the objective function is introduced into the question bank. The test questions in the test bank are combined and imported into the online examination system to realise the intelligent test paper formation of online examination. The experimental results show that this method has strong adaptability and can achieve better performance than the traditional intelligent test paper generation method.