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Zoe L. Handley; Haiping Wang – Language Assessment Quarterly, 2024
This paper explores what the measures of utterance fluency typically employed in Automatic Speech Evaluation (ASE), i.e. automated speaking assessments, tell us about oral proficiency. 60 Chinese learners of English completed the second part of the speaking section of IELTS and six tasks designed to measure the linguistic knowledge and processing…
Descriptors: Foreign Countries, Speech Evaluation, Graduate Students, Articulation (Speech)
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Maryam Heidari Vincheh; Azizullah Mirzaei; Ali Roohani – Language Testing in Asia, 2024
Although the IELTS speaking test assesses English verbal-communication competence accurately and reliably, its traditional, retroactive scoring framework stops short of providing detailed diagnostic information about individual test-takers' specific domains of proficiency or deficiency. This study employed a cognitive diagnostic assessment (CDA)…
Descriptors: Foreign Countries, Test Wiseness, Thinking Skills, English (Second Language)
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Hitoshi Nishizawa – Language Testing, 2024
Corpus-based studies have offered the domain definition inference for test developers. Yet, corpus-based studies on temporal fluency measures (e.g., speech rate) have been limited, especially in the context of academic lecture settings. This made it difficult for test developers to sample representative fluency features to create authentic…
Descriptors: High Stakes Tests, Language Tests, Second Language Learning, Computer Assisted Testing
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J. Dylan Burton – Language Testing, 2024
Nonverbal behavior can impact language proficiency scores in speaking tests, but there is little empirical information of the size or consistency of its effects or whether language proficiency may be a moderating variable. In this study, 100 novice raters watched and scored 30 recordings of test takers taking an international, high stakes…
Descriptors: Nonverbal Ability, Language Fluency, Second Language Learning, Language Proficiency