Paper
19 December 2023 Development of English listening test items based on IRT theory
Xiaomei Zhang, Adibah Abdul Latif
Author Affiliations +
Proceedings Volume 12936, International Conference on Mathematical and Statistical Physics, Computational Science, Education and Communication (ICMSCE 2023); 129360X (2023) https://doi.org/10.1117/12.3011791
Event: International Conference on Mathematical and Statistical Physics, Computational Science, Education and Communication (ICMSCE 2023), 2023, Istanbul, Turkey
Abstract
This study has two main purpose. The first one is to improve Listening Test of College English Test- Band Four (CET-4) in China, because the item type of the existing one is simplex and cannot accurately test college students’ English listening ability. The second aim of the study is to make an appropriate profile of undergraduate students’ English listening ability with newly developed English Listening Quality Test (ELQT). Thus, this study employed IRT Rasch Model to check content validity, unidimensionality, item polarity, reliability and separation, item fit, and item bias of ELQT. This measuring method can systematically and comprehensively test the quality of ELQT, which make contribution to innovate the existing CET-4 Listening Test. The sampling strategy of used in this study is stratified sampling, which can insure the representativeness of samples. Listening material is one of the original listening test of CET-4 and the item type of ELQT refers to IELTS. There were 286 students in colleges and universities in Hebei China involved in this study. The result shows that the developed ELQT can well test college students’ English listening ability, which can be a good supplementation of existing CET-4 Listening Test. Improvement should be done in the sampling size aspect. Larger sample size may better show the results.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xiaomei Zhang and Adibah Abdul Latif "Development of English listening test items based on IRT theory", Proc. SPIE 12936, International Conference on Mathematical and Statistical Physics, Computational Science, Education and Communication (ICMSCE 2023), 129360X (19 December 2023); https://doi.org/10.1117/12.3011791
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Reliability

Universities

Equipment

Analytical research

Data analysis

Data modeling

Materials properties

Back to Top