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Liam Hannah; Eunice Eunhee Jang; Meng-Hsun Lee; Bruce Russell – Language Testing, 2025
While the automated assessment of oral reading fluency (ORF) using accuracy and speech rate has proliferated, expressiveness of speech, as measured by prosodic features, has been neglected due to its inherent complexity and lack of technological resources. Despite the potential benefits of burgeoning technology for assessing hard-to-measure…
Descriptors: Oral Reading, Reading Fluency, Suprasegmentals, English Learners
Haiwei Zhang; Peng Sun; Yaowaluk Bianglae; Winda Widiawati – Language Testing, 2024
In order to address the needs of the continually growing number of Chinese language learners, the present study developed and presented initial validation of a 100-item Chinese vocabulary proficiency test (CVPT) for learners of Chinese as a second/foreign language (CS/FL) using Item Response Theory among 170 CS/FL learners from Indonesia and 354…
Descriptors: Test Construction, Vocabulary, Language Proficiency, Language Tests
Yunwen Su; Sun-Young Shin – Language Testing, 2024
Rating scales that language testers design should be tailored to the specific test purpose and score use as well as reflect the target construct. Researchers have long argued for the value of data-driven scales for classroom performance assessment, because they are specific to pedagogical tasks and objectives, have rich descriptors to offer useful…
Descriptors: Rating Scales, Language Tests, Test Construction, Performance Based Assessment
Laura Schildt; Bart Deygers; Albert Weideman – Language Testing, 2024
In the context of policy-driven language testing for citizenship, a growing body of research examines the political justifications and ethical implications of language requirements and test use. However, virtually no studies have looked at the role that language testers play in the evolution of language requirements. Critical gaps remain in our…
Descriptors: Language Tests, Citizenship, Educational Policy, Assessment Literacy
Ekaterina Voskoboinik; Anna von Zansen; Nhan Chi Phan; Yaroslav Getman; Tamás Grósz; Mikko Kurimo – Language Testing, 2025
Automated speaking assessment (ASA) of second language proficiency benefits both learners and educators. However, developing these systems for less commonly taught languages like Finnish and Finland Swedish is hindered by the need for large datasets with equal representation of all proficiency levels. Traditional machine learning algorithms used…
Descriptors: Second Languages, Language Tests, Speech Tests, Finno Ugric Languages
Okim Kang; Xun Yan; Maria Kostromitina; Ron Thomson; Talia Isaacs – Language Testing, 2024
This study aimed to answer an ongoing validity question related to the use of nonstandard English accents in international tests of English proficiency and associated issues of test fairness. More specifically, we examined (1) the extent to which different or shared English accents had an impact on listeners' performances on the Duolingo listening…
Descriptors: Language Tests, Second Language Learning, English (Second Language), Nonstandard Dialects
Han, Chao – Language Testing, 2022
Over the past decade, testing and assessing spoken-language interpreting has garnered an increasing amount of attention from stakeholders in interpreter education, professional certification, and interpreting research. This is because in these fields assessment results provide a critical evidential basis for high-stakes decisions, such as the…
Descriptors: Translation, Language Tests, Testing, Evaluation Methods
Tavakoli, Parvaneh; Kendon, Gill; Mazhurnaya, Svetlana; Ziomek, Anna – Language Testing, 2023
The main aim of this study was to investigate how oral fluency is assessed across different levels of proficiency in the Test of English for Educational Purposes (TEEP). Working with data from 56 test-takers performing a monologic task at a range of proficiency levels (equivalent to approximately levels 5.0, 5.5, 6.5, and 7.5 in the IELTS scoring…
Descriptors: Language Fluency, Language Tests, English (Second Language), Second Language Learning
Huiying Cai; Xun Yan – Language Testing, 2024
Rater comments tend to be qualitatively analyzed to indicate raters' application of rating scales. This study applied natural language processing (NLP) techniques to quantify meaningful, behavioral information from a corpus of rater comments and triangulated that information with a many-facet Rasch measurement (MFRM) analysis of rater scores. The…
Descriptors: Natural Language Processing, Item Response Theory, Rating Scales, Writing Evaluation
Khaled Barkaoui – Language Testing, 2025
English-medium universities often accept scores from various English language proficiency (ELP) tests as evidence of ELP from non-English background students. This practice raises the question of how these tests compare in terms of their ability to predict academic achievement. This longitudinal study addresses this question by examining the…
Descriptors: English Learners, English (Second Language), Language Proficiency, Language Tests
Ramsey L. Cardwell; Steven W. Nydick; J.R. Lockwood; Alina A. von Davier – Language Testing, 2024
Applicants must often demonstrate adequate English proficiency when applying to postsecondary institutions by taking an English language proficiency test, such as the TOEFL iBT, IELTS Academic, or Duolingo English Test (DET). Concordance tables aim to provide equivalent scores across multiple assessments, helping admissions officers to make fair…
Descriptors: Second Language Learning, English (Second Language), Language Tests, Language Proficiency
Thi My Hang Nguyen; Peter Gu; Averil Coxhead – Language Testing, 2024
Despite extensive research on assessing collocational knowledge, valid measures of academic collocations remain elusive. With the present study, we employ an argument-based approach to validate two Academic Collocation Tests (ACTs) that assess the ability to recognize and produce academic collocations (i.e., two-word units such as "key…
Descriptors: Foreign Countries, College Students, College Entrance Examinations, English (Second Language)
Michael D. Carey; Stefan Szocs – Language Testing, 2024
This controlled experimental study investigated the interaction of variables associated with rating the pronunciation component of high-stakes English-language-speaking tests such as IELTS and TOEFL iBT. One hundred experienced raters who were all either familiar or unfamiliar with Brazilian-accented English or Papua New Guinean Tok Pisin-accented…
Descriptors: Dialects, Pronunciation, Suprasegmentals, Familiarity
Fan, Jason; Frost, Kellie; Jin, Yan – Language Testing, 2022
Accompanying the still pervasive influence of the College English Test (CET), some universities in China, especially the higher-ranking ones, have in recent years devised and implemented their own local English testing regimes. This significant shift, however, has captured limited research attention. Building on considerations in local language…
Descriptors: Language Tests, English (Second Language), Foreign Countries, College Students
Ying Xu; Xiaodong Li; Jin Chen – Language Testing, 2025
This article provides a detailed review of the Computer-based English Listening Speaking Test (CELST) used in Guangdong, China, as part of the National Matriculation English Test (NMET) to assess students' English proficiency. The CELST measures listening and speaking skills as outlined in the "English Curriculum for Senior Middle…
Descriptors: Computer Assisted Testing, English (Second Language), Language Tests, Listening Comprehension Tests

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