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Jorge Luis Beltrán Zúñiga – ProQuest LLC, 2024
The current study explored the assessment of English Language Learners' argumentative speaking ability. Specifically, the study involved the development and administration of a scenario-based test that aimed to measure learners' ability to display competency in L2 argumentative speaking ability by building an argument from factual evidence and…
Descriptors: Persuasive Discourse, Communication Skills, Vignettes, English Language Learners
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Merve Hirçin-Çoban; Betül Çimenli – Classroom Discourse, 2023
To be able to assess interactional competence (IC), which believed to be shared knowledge rather than an individual skill, talk in paired speaking tests can be analyzed. Accordingly, this study investigates how L2 speakers of English collaboratively construct turns in paired speaking tests mainly through embodied word search sequences and their…
Descriptors: Foreign Countries, English (Second Language), Speech Tests, Dialogs (Language)
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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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Ockey, Gary J.; Neiriz, Reza – Assessment in Education: Principles, Policy & Practice, 2021
As our understanding of the construct of oral communication (OC) has evolved, so have the possibilities of computer technology undertaking the delivery of tests that measure this ability. It is paramount to understand to what extent such developments lead to accurate, comprehensive, and useful assessment of OC. In this paper, we discuss five…
Descriptors: Speech Communication, Computer Assisted Testing, Speech Tests, English (Second Language)
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Bamdev, Pakhi; Grover, Manraj Singh; Singla, Yaman Kumar; Vafaee, Payman; Hama, Mika; Shah, Rajiv Ratn – International Journal of Artificial Intelligence in Education, 2023
English proficiency assessments have become a necessary metric for filtering and selecting prospective candidates for both academia and industry. With the rise in demand for such assessments, it has become increasingly necessary to have the automated human-interpretable results to prevent inconsistencies and ensure meaningful feedback to the…
Descriptors: Language Proficiency, Automation, Scoring, Speech Tests
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Gates, Gwyneth; Cox, Troy L.; Bell, Teresa Reber; Eggington, William – Language Testing in Asia, 2020
Two assumptions of speaking proficiency tests are that the speech produced is spontaneous and the the scores on those tests predict what examinees can do in real-world communicative situations. Therefore, when examinees memorize scripts for their oral responses, the validity of the score interpretation is threatened. While the American Council on…
Descriptors: Korean, Native Speakers, English (Second Language), Oral Language
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Zhang, Lin; Jin, Yan – Assessment in Education: Principles, Policy & Practice, 2021
The computer-based College English Test-Spoken English Test (CET-SET) in China incorporates interactional competence in its construct by using a non-face-to-face paired discussion task. To build validity arguments for this unique computer-mediated interactive task, the present study investigated the impact of delivery mode on test performance in…
Descriptors: Computer Assisted Testing, English (Second Language), Language Tests, Communicative Competence (Languages)
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de Jong, Nivja H.; Pacilly, Jos; Heeren, Willemijn – Assessment in Education: Principles, Policy & Practice, 2021
Fluency in terms of speed of speech and (lack of) hesitations such as silent and filled pauses ('uhm's) is part of oral proficiency. Language assessment rubrics therefore include aspects of fluency. Measuring fluency, however, is highly time-consuming because of the manual labour involved. The current paper aims to automatically measure aspects of…
Descriptors: Language Fluency, Speech Skills, Second Languages, Indo European Languages
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Ross, Lauren; Geertsema, Salomé; le Roux, Mia; Alet Graham, Marien – Communication Disorders Quarterly, 2020
Use of nonwords is a potentially more appropriate method of assessment for English second language (EL2) learners. A mixed comparative design was used to compare the effects when using nonwords instead of picture-based stimuli to assess articulation of EL2 learners. Subaims were to compare results between two tests and age groups. In all, 16…
Descriptors: English (Second Language), Second Language Learning, Articulation (Speech), Speech Tests
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Davis, Larry; Papageorgiou, Spiros – Assessment in Education: Principles, Policy & Practice, 2021
Human raters and machine scoring systems potentially have complementary strengths in evaluating language ability; specifically, it has been suggested that automated systems might be used to make consistent measurements of specific linguistic phenomena, whilst humans evaluate more global aspects of performance. We report on an empirical study that…
Descriptors: Scoring, English for Academic Purposes, Oral English, Speech Tests
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Gong, Kaixuan – Asian-Pacific Journal of Second and Foreign Language Education, 2023
The extensive use of automated speech scoring in large-scale speaking assessment can be revolutionary not only to test design and rating, but also to the learning and instruction of speaking based on how students and teachers perceive and react to this technology. However, its washback remained underexplored. This mixed-method study aimed to…
Descriptors: Second Language Learning, Language Tests, English (Second Language), Automation
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Kuo-Wei Kyle Lai; Hao-Jan Howard Chen – Interactive Learning Environments, 2024
Automatic speech recognition (ASR) technology affords language learners the ability to evaluate their pronunciation accuracy by comparing their intended spoken output with the transcribed text produced by ASR-based dictation applications. However, earlier dictation tools were criticized for producing low level recognition rates for non-native…
Descriptors: Computer Software, Computer Assisted Instruction, Technology Uses in Education, Assistive Technology
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Wang, Peiyu; Coetzee, Karen; Strachan, Andrea; Monteiro, Sandra; Cheng, Liying – Canadian Journal of Applied Linguistics / Revue canadienne de linguistique appliquée, 2020
Internationally educated nurses' (IENs) English language proficiency is critical to professional licensure as communication is a key competency for safe practice. The Canadian English Language Benchmark Assessment for Nurses (CELBAN) is Canada's only Canadian Language Benchmarks (CLB) referenced examination used in the context of healthcare…
Descriptors: Item Response Theory, Language Tests, English (Second Language), Nurses
Al-Jarf, Reima – Online Submission, 2021
Introduction: At the College of Languages and Translation (COLT), the students take four speaking courses in the first four semesters of college. In each course, they take two interim tests and a final exam. Aims: The study aims to find out which speaking assessment method EFL students and instructors at COLT prefer: Face to face, or lab testing,…
Descriptors: English (Second Language), Second Language Instruction, College Students, College Faculty
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Adam J. Hogan; Todd A. Gibson; Vivian Luong – International Journal of Bilingual Education and Bilingualism, 2024
Without data on speech accuracy of Vietnamese-English speakers, speech-language pathologists (SLPs) are unable to assess accurately this population for speech sound disorders. This study explored the heretofore uninvestigated speech accuracy and use of Vietnamese-English bilingual individuals residing in the USA. Participants included six…
Descriptors: Speech Communication, Family Relationship, English (Second Language), Second Language Learning
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