Research and Design of Self-adaptive Test System Based on Item Response Theory in Web Environment
This article designs and implements an adaptive examination system based on Item Response Theory(IRT)in a Web environment.Utilizing an original question extraction algorithm,this system dynamically adjusts the difficulty of questions according to the test-takers'abilities,thereby enhancing the accuracy and efficiency of examinations.The study compares traditional exams with the IRT-based adaptive examination system,demonstrating that the latter can assess examinees'abilities more precisely.This research not only introduces a new examination model but also provides a fresh perspective and reference for the development of the educational assessment field.
item response theoryself-adaptive test systemWeb environmentexam question extraction algorithmability assessment
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