This study examines the efficacy of artificial intelligence (AI) in creating parallel test items compared to human-made ones. Two test forms were developed: one consisting of 20 existing human-made items and another with 20 new items generated with ChatGPT assistance. Expert reviews confirmed the content parallelism of the two test forms.…

Vocabulary proficiency diagnosis plays an important role in the field of language learning, which aims to identify the level of vocabulary knowledge of a learner through his or her learning process periodically, and can be used to provide personalized materials and feedback in language-learning applications. Traditional approaches are widely…

Studies have shown that language assessment literacy (LAL) is important for language teachers since they make important classroom decisions to improve student learning based on their assessment. However, some studies have shown that teachers need more knowledge and skills in assessment. Teachers also seem unconfident in assessing their students…

Item Response Theory (IRT) is a ubiquitous model for understanding humans based on their responses to questions, used in fields as diverse as education, medicine and psychology. Large modern datasets offer opportunities to capture more nuances in human behavior, potentially improving test scoring and better informing public policy. Yet larger…

Research on the use of standardized test scores in higher education reveals significant variations in attitudes and perceptions of language proficiency tests among test score users. Most test score users have limited knowledge about test score interpretations in terms of what English as additional language (EAL) students typically know and can do…

Language proficiency diagnosis is essential to extract fine-grained information about the linguistic knowledge states and skill mastery levels of test takers based on their performance on language tests. Different from comprehensive standardized tests, many language learning apps often revolve around word-level questions. Therefore, knowledge…

Foreign language testing is a multi-dimensional phenomenon and obtaining objective and error-free scores on learners' language skills is often problematic. While assessing foreign language performance on high-stakes tests, using different testing approaches including Classical Test Theory (CTT), Generalizability Theory (GT) and/or Item Response…

Prompted by Taiwanese university students' increasing demand for English proficiency assessment, the absence of a test designed specifically for this demographic subgroup, and the lack of a localized and freely-accessible proficiency measure, this project set out to develop and validate a computerized adaptive English proficiency testing (E-CAT)…

Unidimensionality is an important assumption of measurement but it is violated very often. Most of the time, tests are deliberately constructed to be multidimensional to cover all aspects of the intended construct. In such situations, the application of unidimensional item response theory (IRT) models is not justifieddue to poor model fit and…

This study presents the validation process of a listening test based on a communicative language test proposed by Bachman (Fundamental considerations in language testing, 1990). It was administered to third-grade high school students by the sixteen Korean Provincial Offices of Education for Curriculum and Evaluation in September 2012 to assess…

The present dissertation investigated the impact of scales/scoring methods and prompt linguistic features on the measurement quality of L2 English elicited imitation (EI). Scales/scoring methods are an important feature for the validity and reliability of L2 EI test, but less is known (Yan et al., 2016). Prompt linguistic features are also known…

The Multiple-choice (MC) item format is commonly used in educational assessments due to its economy and effectiveness across a variety of content domains. However, numerous studies have examined the quality of MC items in high-stakes and higher-education assessments and found many flawed items, especially in terms of distractors. These faulty…

The present study was executed with the purpose of validating ELT Certificate Lesson Observation and Report Task (ELTC-LORT), which was developed by China Language Assessment to certify China's EFL teachers by performance-based testing. The ELT Certificate has high-stakes considering its impacts on candidates' recruitment, ELT in China and quality…

Language learners are underserved if there are unlearned meanings of a word that they think they have already learned. For example, "circle" as a noun is well known, whereas its use as a verb is not. For artificial-intelligence-based support systems for learning vocabulary, assessing each learner's knowledge of such atypical but common…

The present study examined the performance of the bi-factor multidimensional item response theory (MIRT) model and higher-order (HO) cognitive diagnostic models (CDM) in providing diagnostic information and general ability estimation simultaneously in a listening test. The data used were 1,611 examinees' item-level responses to an in-house EFL…