Development and Evaluation of Computerized Adaptive Testing for General English Proficiency Test

This study aims to develop a Computerized Adaptive Testing (CAT) system for efficiently and accurately diagnosing the general English proficiency of college students, and to empirically validate its effectiveness. To this end, an item bank was constructed by applying Item Response Theory (IRT) analysis to 100 TOEIC practice items (50 listening, 50 reading). The CAT system was subsequently designed with clearly defined components, allowing flexible administration in both fixed-and variable-length formats. The effectiveness of the system was then evaluated with 60 college students enrolled in two sections of a general English course at H University. The results indicated that, in the listening domain, the CAT group demonstrated significantly greater score gains compared to the non-CAT group (interaction effect). In the reading domain, both groups showed score improvement (learning effect); however, only the score gains of the CAT group reached statistical significance (simple effects). These findings provide empirically support for the utility of an IRT-based CAT system as a diagnostic tool capable of achieving both measurement precision and administrative efficiency in assessing general English proficiency. Furthermore, the results suggest that repeated use of the system as a supplementary learning tool may contribute positively to the development of English language ability.

Authors

Publication Details

Journal
The Korean Association of General Education
Published
2026-04-30
DOI
https://doi.org/10.46392/kjge.2026.20.2.191
Primary Topic
Psychometric Methodologies and Testing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and Evaluation of Computerized Adaptive Testing for General English Proficiency Test

박미경, Dong Gi Seo, Hyeon Park, Woojae Han
The Korean Association of General Education
Psychometric Methodologies and Testing
article

Development and Evaluation of Computerized Adaptive Testing for General English Proficiency Test

박미경, Dong Gi Seo, Hyeon Park, Woojae Han
article en

Abstract

This study aims to develop a Computerized Adaptive Testing (CAT) system for efficiently and accurately diagnosing the general English proficiency of college students, and to empirically validate its effectiveness. To this end, an item bank was constructed by applying Item Response Theory (IRT) analysis to 100 TOEIC practice items (50 listening, 50 reading). The CAT system was subsequently designed with clearly defined components, allowing flexible administration in both fixed-and variable-length formats. The effectiveness of the system was then evaluated with 60 college students enrolled in two sections of a general English course at H University. The results indicated that, in the listening domain, the CAT group demonstrated significantly greater score gains compared to the non-CAT group (interaction effect). In the reading domain, both groups showed score improvement (learning effect); however, only the score gains of the CAT group reached statistical significance (simple effects). These findings provide empirically support for the utility of an IRT-based CAT system as a diagnostic tool capable of achieving both measurement precision and administrative efficiency in assessing general English proficiency. Furthermore, the results suggest that repeated use of the system as a supplementary learning tool may contribute positively to the development of English language ability.

The Korean Association of General EducationVol. 20(2)
Quality Education
Openalex Percentile: Top 5%
Psychometric Methodologies and Testing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.