Assessment of Test Items Quality and Adaptive Testing on the Rasch Model

Abstract

In this paper the algorithm for adaptive testing of students’ knowledge in distance learning and an assessment of its effectiveness in the educational process has been proposed. The results of the study are based on the achievements of modern testing theory IRT. The aim of the study was to build an adaptive testing algorithm that allows you to objectively assess students’ knowledge and assess the quality of test items. To achieve this goal, a mathematical model of modern testing theory IRT, namely the Rasch model, was used. The effectiveness of the proposed algorithm for the objective assessment of students’ knowledge has been experimentally shown. The correspondence of the empirical data to the Rasch model was assessed based on the Pearson’s chi-squared test. The quality of test items was provided based on the Rasch model.