Intelligent Generation of Test Papers for the Course Principle of Automatic Control Based on the Outcome-Based Education(OBE)Concept
XIAO Liqing
FU Yumeng
ZHENG Mengyang
JIA Yifei
Abstract：In order to implement the Outcome-Based Education(OBE)concept effectively,intelligent test paper generation software for the course Principle of Automatic Control has been independently developed using an improved Particle Swarm Optimization(PSO)algorithm.After establishing parameters including the correlation coefficients of knowledge points,question types for assessing knowledge points,support for course objectives,the number as well as scores of question types in the test paper,weights for assessing course objectives and difficulty coefficients,the software takes the following as optimization objectives:assessment of course objectives,correlation coefficients of knowledge points and difficulty coefficients of test questions.The subsequent implementation of the enhanced PSO algorithm facilitates the intelligent generation of the course test papers.The results of teaching practice have validated the effectiveness of the intelligent test paper generation software.Not only can it achieve "differentiated assessment"through the setting of difficulty coefficients,but it can also re-assess students whose individual course objective attainment levels fail to meet expectations by adjusting the weights of assessment course objectives,thereby realizing "continuous improvement".
Keywords：intelligent generation of test paperdifferentiated assessmentcontinuous improvement
Publication Date：2025-09-30
Online Publishing Date：2025-10-17(First online date of this platform, not the publication date of the document)
Pages：8( 52-58,65 )